Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets
Identifieur interne : 000882 ( Istex/Corpus ); précédent : 000881; suivant : 000883Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets
Auteurs : C. L. Walthall ; M. Kim ; D. L. Williams ; B. W. Meeson ; P. A. Agbu ; J. A. Newcomer ; E. R. LevineSource :
- Remote Sensing of Environment [ 0034-4257 ] ; 1993.
Abstract
The Biospheric Sciences Branch, within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center, has assembled two data sets for free dissemination to the remote sensing research community. One data set, referred to as the Retrospective Bidirectional Reflectance Distribution Function (BRDF) Data Collection, is a collection of bidirectional reflectance and supporting biophysical measurements of surfaces ranging in diversity from bare soil to heavily forested canopies. The other data collection, resulting from measurements made in association with the Forest Ecosystems Dynamics Multisensor Aircraft Campaign (FED MAC), contains data that are relevant to ecosystem process models, particularly those which have been modified to incorporate remotely sensed data. Both of these collections are being made available to the science community at large in order to facilitate model development, validation, and usage. These data collections are subsets which have been compiled and consolidated from individual researchers or from several large data set collections including: the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE); FED MAC; the Superior National Forest Project (SNF); the Geologic Remote Sensing Field Experiment (GRSFE); and Agricultural Inventories through Space Applications of Remote Sensing (AgriStars). The complete, stand-alone FED MAC Data Collection contains atmospheric, vegetation, and soils data acquired during field measurement campaigns conducted at International Papers' Northern Experimental Forest located approximately 40 km north of Bangor, Maine. Reflectance measurements at the canopy, branch, and needle level are available, along with detailed canopy architectural measurements. Both the BRDF and FED MAC Data Collections are available on MS-DOS compatible 3.5-in. floppy disks, along with detailed documentation of the instrumentation and methodology used to make the measurements, descriptions of the spatial and temporal coverage of the data, quality assessment measures, and other descriptive information required to use the data. A specialized MS-DOS software package has been developed to facilitate data archival and retrieval, including graphing capability.
Url:
DOI: 10.1016/0034-4257(93)90054-2
Links to Exploration step
ISTEX:2231A2BDD0E3F3805F3C2DCC7E674CA618F05274Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets</title><author><name sortKey="Walthall, C L" sort="Walthall, C L" uniqKey="Walthall C" first="C. L." last="Walthall">C. L. Walthall</name><affiliation><mods:affiliation>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</mods:affiliation></affiliation></author><author><name sortKey="Kim, M" sort="Kim, M" uniqKey="Kim M" first="M." last="Kim">M. Kim</name><affiliation><mods:affiliation>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</mods:affiliation></affiliation></author><author><name sortKey="Williams, D L" sort="Williams, D L" uniqKey="Williams D" first="D. L." last="Williams">D. L. Williams</name><affiliation><mods:affiliation>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</mods:affiliation></affiliation></author><author><name sortKey="Meeson, B W" sort="Meeson, B W" uniqKey="Meeson B" first="B. W." last="Meeson">B. W. Meeson</name><affiliation><mods:affiliation>Global Change Data Center, NASA/Goddard Space Flight Center USA</mods:affiliation></affiliation></author><author><name sortKey="Agbu, P A" sort="Agbu, P A" uniqKey="Agbu P" first="P. A." last="Agbu">P. A. Agbu</name><affiliation><mods:affiliation>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</mods:affiliation></affiliation></author><author><name sortKey="Newcomer, J A" sort="Newcomer, J A" uniqKey="Newcomer J" first="J. A." last="Newcomer">J. A. Newcomer</name><affiliation><mods:affiliation>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</mods:affiliation></affiliation></author><author><name sortKey="Levine, E R" sort="Levine, E R" uniqKey="Levine E" first="E. R." last="Levine">E. R. Levine</name><affiliation><mods:affiliation>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:2231A2BDD0E3F3805F3C2DCC7E674CA618F05274</idno><date when="1993" year="1993">1993</date><idno type="doi">10.1016/0034-4257(93)90054-2</idno><idno type="url">https://api.istex.fr/document/2231A2BDD0E3F3805F3C2DCC7E674CA618F05274/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000882</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000882</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets</title><author><name sortKey="Walthall, C L" sort="Walthall, C L" uniqKey="Walthall C" first="C. L." last="Walthall">C. L. Walthall</name><affiliation><mods:affiliation>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</mods:affiliation></affiliation></author><author><name sortKey="Kim, M" sort="Kim, M" uniqKey="Kim M" first="M." last="Kim">M. Kim</name><affiliation><mods:affiliation>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</mods:affiliation></affiliation></author><author><name sortKey="Williams, D L" sort="Williams, D L" uniqKey="Williams D" first="D. L." last="Williams">D. L. Williams</name><affiliation><mods:affiliation>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</mods:affiliation></affiliation></author><author><name sortKey="Meeson, B W" sort="Meeson, B W" uniqKey="Meeson B" first="B. W." last="Meeson">B. W. Meeson</name><affiliation><mods:affiliation>Global Change Data Center, NASA/Goddard Space Flight Center USA</mods:affiliation></affiliation></author><author><name sortKey="Agbu, P A" sort="Agbu, P A" uniqKey="Agbu P" first="P. A." last="Agbu">P. A. Agbu</name><affiliation><mods:affiliation>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</mods:affiliation></affiliation></author><author><name sortKey="Newcomer, J A" sort="Newcomer, J A" uniqKey="Newcomer J" first="J. A." last="Newcomer">J. A. Newcomer</name><affiliation><mods:affiliation>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</mods:affiliation></affiliation></author><author><name sortKey="Levine, E R" sort="Levine, E R" uniqKey="Levine E" first="E. R." last="Levine">E. R. Levine</name><affiliation><mods:affiliation>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Remote Sensing of Environment</title><title level="j" type="abbrev">RSE</title><idno type="ISSN">0034-4257</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1993">1993</date><biblScope unit="volume">46</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="340">340</biblScope><biblScope unit="page" to="346">346</biblScope></imprint><idno type="ISSN">0034-4257</idno></series><idno type="istex">2231A2BDD0E3F3805F3C2DCC7E674CA618F05274</idno><idno type="DOI">10.1016/0034-4257(93)90054-2</idno><idno type="PII">0034-4257(93)90054-2</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0034-4257</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The Biospheric Sciences Branch, within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center, has assembled two data sets for free dissemination to the remote sensing research community. One data set, referred to as the Retrospective Bidirectional Reflectance Distribution Function (BRDF) Data Collection, is a collection of bidirectional reflectance and supporting biophysical measurements of surfaces ranging in diversity from bare soil to heavily forested canopies. The other data collection, resulting from measurements made in association with the Forest Ecosystems Dynamics Multisensor Aircraft Campaign (FED MAC), contains data that are relevant to ecosystem process models, particularly those which have been modified to incorporate remotely sensed data. Both of these collections are being made available to the science community at large in order to facilitate model development, validation, and usage. These data collections are subsets which have been compiled and consolidated from individual researchers or from several large data set collections including: the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE); FED MAC; the Superior National Forest Project (SNF); the Geologic Remote Sensing Field Experiment (GRSFE); and Agricultural Inventories through Space Applications of Remote Sensing (AgriStars). The complete, stand-alone FED MAC Data Collection contains atmospheric, vegetation, and soils data acquired during field measurement campaigns conducted at International Papers' Northern Experimental Forest located approximately 40 km north of Bangor, Maine. Reflectance measurements at the canopy, branch, and needle level are available, along with detailed canopy architectural measurements. Both the BRDF and FED MAC Data Collections are available on MS-DOS compatible 3.5-in. floppy disks, along with detailed documentation of the instrumentation and methodology used to make the measurements, descriptions of the spatial and temporal coverage of the data, quality assessment measures, and other descriptive information required to use the data. A specialized MS-DOS software package has been developed to facilitate data archival and retrieval, including graphing capability.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>C.L. Walthall</name><affiliations><json:string>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</json:string></affiliations></json:item><json:item><name>M. Kim</name><affiliations><json:string>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</json:string></affiliations></json:item><json:item><name>D.L. Williams</name><affiliations><json:string>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</json:string></affiliations></json:item><json:item><name>B.W. Meeson</name><affiliations><json:string>Global Change Data Center, NASA/Goddard Space Flight Center USA</json:string></affiliations></json:item><json:item><name>P.A. Agbu</name><affiliations><json:string>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</json:string></affiliations></json:item><json:item><name>J.A. Newcomer</name><affiliations><json:string>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</json:string></affiliations></json:item><json:item><name>E.R. Levine</name><affiliations><json:string>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><originalGenre><json:string>Short communication</json:string></originalGenre><abstract>The Biospheric Sciences Branch, within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center, has assembled two data sets for free dissemination to the remote sensing research community. One data set, referred to as the Retrospective Bidirectional Reflectance Distribution Function (BRDF) Data Collection, is a collection of bidirectional reflectance and supporting biophysical measurements of surfaces ranging in diversity from bare soil to heavily forested canopies. The other data collection, resulting from measurements made in association with the Forest Ecosystems Dynamics Multisensor Aircraft Campaign (FED MAC), contains data that are relevant to ecosystem process models, particularly those which have been modified to incorporate remotely sensed data. Both of these collections are being made available to the science community at large in order to facilitate model development, validation, and usage. These data collections are subsets which have been compiled and consolidated from individual researchers or from several large data set collections including: the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE); FED MAC; the Superior National Forest Project (SNF); the Geologic Remote Sensing Field Experiment (GRSFE); and Agricultural Inventories through Space Applications of Remote Sensing (AgriStars). The complete, stand-alone FED MAC Data Collection contains atmospheric, vegetation, and soils data acquired during field measurement campaigns conducted at International Papers' Northern Experimental Forest located approximately 40 km north of Bangor, Maine. Reflectance measurements at the canopy, branch, and needle level are available, along with detailed canopy architectural measurements. Both the BRDF and FED MAC Data Collections are available on MS-DOS compatible 3.5-in. floppy disks, along with detailed documentation of the instrumentation and methodology used to make the measurements, descriptions of the spatial and temporal coverage of the data, quality assessment measures, and other descriptive information required to use the data. A specialized MS-DOS software package has been developed to facilitate data archival and retrieval, including graphing capability.</abstract><qualityIndicators><score>7.136</score><pdfVersion>1.2</pdfVersion><pdfPageSize>612 x 828 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>0</keywordCount><abstractCharCount>2270</abstractCharCount><pdfWordCount>4136</pdfWordCount><pdfCharCount>27676</pdfCharCount><pdfPageCount>7</pdfPageCount><abstractWordCount>308</abstractWordCount></qualityIndicators><title>Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets</title><pii><json:string>0034-4257(93)90054-2</json:string></pii><genre><json:string>brief-communication</json:string></genre><serie><volume>Vol. 1300</volume><pages><last>132</last><first>117</first></pages><language><json:string>unknown</json:string></language><title>Orlando, FL</title></serie><host><volume>46</volume><pii><json:string>S0034-4257(00)X0158-7</json:string></pii><pages><last>346</last><first>340</first></pages><issn><json:string>0034-4257</json:string></issn><issue>3</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Remote Sensing of Environment</title><publicationDate>1993</publicationDate></host><categories><wos><json:string>science</json:string><json:string>remote sensing</json:string><json:string>imaging science & photographic technology</json:string><json:string>environmental sciences</json:string></wos><scienceMetrix><json:string>applied sciences</json:string><json:string>engineering</json:string><json:string>geological & geomatics engineering</json:string></scienceMetrix></categories><publicationDate>1993</publicationDate><copyrightDate>1993</copyrightDate><doi><json:string>10.1016/0034-4257(93)90054-2</json:string></doi><id>2231A2BDD0E3F3805F3C2DCC7E674CA618F05274</id><score>0.042162374</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/2231A2BDD0E3F3805F3C2DCC7E674CA618F05274/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/2231A2BDD0E3F3805F3C2DCC7E674CA618F05274/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/2231A2BDD0E3F3805F3C2DCC7E674CA618F05274/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a">Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>ELSEVIER</p></availability><date>1993</date></publicationStmt><notesStmt><note type="content">Section title: Short communication</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets</title><author xml:id="author-1"><persName><forename type="first">C.L.</forename><surname>Walthall</surname></persName><note type="biography">The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</note><affiliation>Address correspondence to C.L. Walthall, Dept. of Geography, Univ. of Maryland, 1113 LeFrak Hall, College Park, MD 20742.</affiliation><affiliation>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</affiliation><affiliation>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</affiliation></author><author xml:id="author-2"><persName><forename type="first">M.</forename><surname>Kim</surname></persName><note type="biography">The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</note><affiliation>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</affiliation><affiliation>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</affiliation></author><author xml:id="author-3"><persName><forename type="first">D.L.</forename><surname>Williams</surname></persName><note type="biography">The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</note><affiliation>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</affiliation><affiliation>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</affiliation></author><author xml:id="author-4"><persName><forename type="first">B.W.</forename><surname>Meeson</surname></persName><note type="biography">The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</note><affiliation>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</affiliation><affiliation>Global Change Data Center, NASA/Goddard Space Flight Center USA</affiliation></author><author xml:id="author-5"><persName><forename type="first">P.A.</forename><surname>Agbu</surname></persName><note type="biography">The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</note><affiliation>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</affiliation><affiliation>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</affiliation></author><author xml:id="author-6"><persName><forename type="first">J.A.</forename><surname>Newcomer</surname></persName><note type="biography">The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</note><affiliation>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</affiliation><affiliation>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</affiliation></author><author xml:id="author-7"><persName><forename type="first">E.R.</forename><surname>Levine</surname></persName><note type="biography">The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</note><affiliation>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</affiliation><affiliation>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</affiliation></author></analytic><monogr><title level="j">Remote Sensing of Environment</title><title level="j" type="abbrev">RSE</title><idno type="pISSN">0034-4257</idno><idno type="PII">S0034-4257(00)X0158-7</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1993"></date><biblScope unit="volume">46</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="340">340</biblScope><biblScope unit="page" to="346">346</biblScope></imprint></monogr><idno type="istex">2231A2BDD0E3F3805F3C2DCC7E674CA618F05274</idno><idno type="DOI">10.1016/0034-4257(93)90054-2</idno><idno type="PII">0034-4257(93)90054-2</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1993</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>The Biospheric Sciences Branch, within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center, has assembled two data sets for free dissemination to the remote sensing research community. One data set, referred to as the Retrospective Bidirectional Reflectance Distribution Function (BRDF) Data Collection, is a collection of bidirectional reflectance and supporting biophysical measurements of surfaces ranging in diversity from bare soil to heavily forested canopies. The other data collection, resulting from measurements made in association with the Forest Ecosystems Dynamics Multisensor Aircraft Campaign (FED MAC), contains data that are relevant to ecosystem process models, particularly those which have been modified to incorporate remotely sensed data. Both of these collections are being made available to the science community at large in order to facilitate model development, validation, and usage. These data collections are subsets which have been compiled and consolidated from individual researchers or from several large data set collections including: the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE); FED MAC; the Superior National Forest Project (SNF); the Geologic Remote Sensing Field Experiment (GRSFE); and Agricultural Inventories through Space Applications of Remote Sensing (AgriStars). The complete, stand-alone FED MAC Data Collection contains atmospheric, vegetation, and soils data acquired during field measurement campaigns conducted at International Papers' Northern Experimental Forest located approximately 40 km north of Bangor, Maine. Reflectance measurements at the canopy, branch, and needle level are available, along with detailed canopy architectural measurements. Both the BRDF and FED MAC Data Collections are available on MS-DOS compatible 3.5-in. floppy disks, along with detailed documentation of the instrumentation and methodology used to make the measurements, descriptions of the spatial and temporal coverage of the data, quality assessment measures, and other descriptive information required to use the data. A specialized MS-DOS software package has been developed to facilitate data archival and retrieval, including graphing capability.</p></abstract></profileDesc><revisionDesc><change when="1993-07-10">Modified</change><change when="1993">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/2231A2BDD0E3F3805F3C2DCC7E674CA618F05274/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="sco"><item-info><jid>RSE</jid><aid>93900542</aid><ce:pii>0034-4257(93)90054-2</ce:pii><ce:doi>10.1016/0034-4257(93)90054-2</ce:doi><ce:copyright type="unknown" year="1993"></ce:copyright></item-info><head><ce:dochead><ce:textfn>Short communication</ce:textfn></ce:dochead><ce:title>Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets</ce:title><ce:author-group><ce:author><ce:given-name>C.L.</ce:given-name><ce:surname>Walthall</ce:surname><ce:cross-ref refid="COR1"><ce:sup>∗</ce:sup></ce:cross-ref><ce:cross-ref refid="AFF1"><ce:sup>∗</ce:sup></ce:cross-ref><ce:cross-ref refid="FN1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>M.</ce:given-name><ce:surname>Kim</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>∗</ce:sup></ce:cross-ref><ce:cross-ref refid="FN1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>D.L.</ce:given-name><ce:surname>Williams</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>†</ce:sup></ce:cross-ref><ce:cross-ref refid="FN1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>B.W.</ce:given-name><ce:surname>Meeson</ce:surname><ce:cross-ref refid="AFF3"><ce:sup>‡</ce:sup></ce:cross-ref><ce:cross-ref refid="FN1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>P.A.</ce:given-name><ce:surname>Agbu</ce:surname><ce:cross-ref refid="AFF4"><ce:sup>§</ce:sup></ce:cross-ref><ce:cross-ref refid="FN1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>J.A.</ce:given-name><ce:surname>Newcomer</ce:surname><ce:cross-ref refid="AFF4"><ce:sup>§</ce:sup></ce:cross-ref><ce:cross-ref refid="FN1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>E.R.</ce:given-name><ce:surname>Levine</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>†</ce:sup></ce:cross-ref><ce:cross-ref refid="FN1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</ce:textfn></ce:affiliation><ce:affiliation id="AFF3"><ce:label>c</ce:label><ce:textfn>Global Change Data Center, NASA/Goddard Space Flight Center USA</ce:textfn></ce:affiliation><ce:affiliation id="AFF4"><ce:label>d</ce:label><ce:textfn>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</ce:textfn></ce:affiliation><ce:correspondence id="COR1"><ce:label>∗</ce:label><ce:text>Address correspondence to C.L. Walthall, Dept. of Geography, Univ. of Maryland, 1113 LeFrak Hall, College Park, MD 20742.</ce:text></ce:correspondence><ce:footnote id="FN1"><ce:label>a</ce:label><ce:note-para>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</ce:note-para></ce:footnote></ce:author-group><ce:date-received day="15" month="2" year="1993"></ce:date-received><ce:date-revised day="10" month="7" year="1993"></ce:date-revised><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>The Biospheric Sciences Branch, within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center, has assembled two data sets for free dissemination to the remote sensing research community. One data set, referred to as the Retrospective Bidirectional Reflectance Distribution Function (BRDF) Data Collection, is a collection of bidirectional reflectance and supporting biophysical measurements of surfaces ranging in diversity from bare soil to heavily forested canopies. The other data collection, resulting from measurements made in association with the Forest Ecosystems Dynamics Multisensor Aircraft Campaign (FED MAC), contains data that are relevant to ecosystem process models, particularly those which have been modified to incorporate remotely sensed data. Both of these collections are being made available to the science community <ce:italic>at large</ce:italic> in order to facilitate model development, validation, and usage. These data collections are subsets which have been compiled and consolidated from individual researchers or from several large data set collections including: the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE); FED MAC; the Superior National Forest Project (SNF); the Geologic Remote Sensing Field Experiment (GRSFE); and Agricultural Inventories through Space Applications of Remote Sensing (AgriStars). The complete, stand-alone FED MAC Data Collection contains atmospheric, vegetation, and soils data acquired during field measurement campaigns conducted at International Papers' Northern Experimental Forest located approximately 40 km north of Bangor, Maine. Reflectance measurements at the canopy, branch, and needle level are available, along with detailed canopy architectural measurements. Both the BRDF and FED MAC Data Collections are available on MS-DOS compatible 3.5-in. floppy disks, along with detailed documentation of the instrumentation and methodology used to make the measurements, descriptions of the spatial and temporal coverage of the data, quality assessment measures, and other descriptive information required to use the data. A specialized MS-DOS software package has been developed to facilitate data archival and retrieval, including graphing capability.</ce:simple-para></ce:abstract-sec></ce:abstract></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets</title></titleInfo><name type="personal"><namePart type="given">C.L.</namePart><namePart type="family">Walthall</namePart><affiliation>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</affiliation><description>Address correspondence to C.L. Walthall, Dept. of Geography, Univ. of Maryland, 1113 LeFrak Hall, College Park, MD 20742.</description><description>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">M.</namePart><namePart type="family">Kim</namePart><affiliation>Laboratory for Global Remote Sensing Studies, Department of Geography, University of Maryland USA</affiliation><description>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">D.L.</namePart><namePart type="family">Williams</namePart><affiliation>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</affiliation><description>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">B.W.</namePart><namePart type="family">Meeson</namePart><affiliation>Global Change Data Center, NASA/Goddard Space Flight Center USA</affiliation><description>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">P.A.</namePart><namePart type="family">Agbu</namePart><affiliation>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</affiliation><description>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.A.</namePart><namePart type="family">Newcomer</namePart><affiliation>Hughes STX Corporation, NASA/Goddard Space Flight Center USA</affiliation><description>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">E.R.</namePart><namePart type="family">Levine</namePart><affiliation>Laboratory for Terrestrial Physics, NASA/Goddard Space Flight Center USA</affiliation><description>The authors acknowledge assistance from Drs. Thomas Brakke, James Irons, Donald Deering, Jon Ranson, and Forrest Hall, and from Fred Huemmrich and Thomas Eck in the preparation and documentation of these data sets. The effort to collect and consolidate these data sets was initiated and funded by NASA Headquarters, Office of Space Science Applications, Earth Science and Applications Division, under the direction of Dr. Ghassem Asrar during his tenure as the Remote Sensing Science Program Manager.</description><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="brief-communication" displayLabel="Short communication"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1993</dateIssued><dateModified encoding="w3cdtf">1993-07-10</dateModified><copyrightDate encoding="w3cdtf">1993</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">The Biospheric Sciences Branch, within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center, has assembled two data sets for free dissemination to the remote sensing research community. One data set, referred to as the Retrospective Bidirectional Reflectance Distribution Function (BRDF) Data Collection, is a collection of bidirectional reflectance and supporting biophysical measurements of surfaces ranging in diversity from bare soil to heavily forested canopies. The other data collection, resulting from measurements made in association with the Forest Ecosystems Dynamics Multisensor Aircraft Campaign (FED MAC), contains data that are relevant to ecosystem process models, particularly those which have been modified to incorporate remotely sensed data. Both of these collections are being made available to the science community at large in order to facilitate model development, validation, and usage. These data collections are subsets which have been compiled and consolidated from individual researchers or from several large data set collections including: the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE); FED MAC; the Superior National Forest Project (SNF); the Geologic Remote Sensing Field Experiment (GRSFE); and Agricultural Inventories through Space Applications of Remote Sensing (AgriStars). The complete, stand-alone FED MAC Data Collection contains atmospheric, vegetation, and soils data acquired during field measurement campaigns conducted at International Papers' Northern Experimental Forest located approximately 40 km north of Bangor, Maine. Reflectance measurements at the canopy, branch, and needle level are available, along with detailed canopy architectural measurements. Both the BRDF and FED MAC Data Collections are available on MS-DOS compatible 3.5-in. floppy disks, along with detailed documentation of the instrumentation and methodology used to make the measurements, descriptions of the spatial and temporal coverage of the data, quality assessment measures, and other descriptive information required to use the data. A specialized MS-DOS software package has been developed to facilitate data archival and retrieval, including graphing capability.</abstract><note type="content">Section title: Short communication</note><relatedItem type="host"><titleInfo><title>Remote Sensing of Environment</title></titleInfo><titleInfo type="abbreviated"><title>RSE</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199312</dateIssued></originInfo><identifier type="ISSN">0034-4257</identifier><identifier type="PII">S0034-4257(00)X0158-7</identifier><part><date>199312</date><detail type="volume"><number>46</number><caption>vol.</caption></detail><detail type="issue"><number>3</number><caption>no.</caption></detail><extent unit="issue pages"><start>235</start><end>357</end></extent><extent unit="pages"><start>340</start><end>346</end></extent></part></relatedItem><identifier type="istex">2231A2BDD0E3F3805F3C2DCC7E674CA618F05274</identifier><identifier type="DOI">10.1016/0034-4257(93)90054-2</identifier><identifier type="PII">0034-4257(93)90054-2</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000882 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000882 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Agronomie
|area= SisAgriV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:2231A2BDD0E3F3805F3C2DCC7E674CA618F05274
|texte= Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets
}}
| This area was generated with Dilib version V0.6.28. |  |