Mapping recent agricultural developments in China from satellite data
Identifieur interne : 000260 ( Istex/Curation ); précédent : 000259; suivant : 000261Mapping recent agricultural developments in China from satellite data
Auteurs : R. Welch [États-Unis] ; C. W. Pannell [États-Unis]Source :
- Advances in Space Research [ 0273-1177 ] ; 1983.
Abstract
Landsat data have been employed to study and map agricultural developments in three regions of China: 1) Pearl River delta; 2) Nen River basin; and 3) Xinjiang Autonomous Region. Manual interpretation procedures used in conjunction with multi-date Landsat images and collateral information permitted rice yields to be estimated for the Pearl River delta in 1978. A combination of manual and computer-assisted analyses of Landsat data of Northeast China revealed that more than 15,000 km2 of agricultural land in a 184,500 km2 study area had been reclaimed from rangeland and marshland. These analyses also indicated a shift in cropping practices, with the foodcrops wheat and corn replacing cash crops such as soybeans. In the arid west, Landsat image data provided valuable input to a geographic information system (GIS). It appears the GIS approach will prove useful for evaluating agricultural land potential in the remote areas of China.
Url:
DOI: 10.1016/0273-1177(82)90228-9
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000267
Links to Exploration step
ISTEX:CB9316B1C953CBCBA3AE61C756A0111EED584A5DLe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Mapping recent agricultural developments in China from satellite data</title><author><name sortKey="Welch, R" sort="Welch, R" uniqKey="Welch R" first="R." last="Welch">R. Welch</name><affiliation wicri:level="1"><mods:affiliation>Department of Geography, University of Georgia, Athens, GA 30602, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Geography, University of Georgia, Athens, GA 30602</wicri:regionArea></affiliation></author><author><name sortKey="Pannell, C W" sort="Pannell, C W" uniqKey="Pannell C" first="C. W." last="Pannell">C. W. Pannell</name><affiliation wicri:level="1"><mods:affiliation>Department of Geography, University of Georgia, Athens, GA 30602, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Geography, University of Georgia, Athens, GA 30602</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:CB9316B1C953CBCBA3AE61C756A0111EED584A5D</idno><date when="1983" year="1983">1983</date><idno type="doi">10.1016/0273-1177(82)90228-9</idno><idno type="url">https://api.istex.fr/document/CB9316B1C953CBCBA3AE61C756A0111EED584A5D/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000267</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000267</idno><idno type="wicri:Area/Istex/Curation">000260</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Mapping recent agricultural developments in China from satellite data</title><author><name sortKey="Welch, R" sort="Welch, R" uniqKey="Welch R" first="R." last="Welch">R. Welch</name><affiliation wicri:level="1"><mods:affiliation>Department of Geography, University of Georgia, Athens, GA 30602, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Geography, University of Georgia, Athens, GA 30602</wicri:regionArea></affiliation></author><author><name sortKey="Pannell, C W" sort="Pannell, C W" uniqKey="Pannell C" first="C. W." last="Pannell">C. W. Pannell</name><affiliation wicri:level="1"><mods:affiliation>Department of Geography, University of Georgia, Athens, GA 30602, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Geography, University of Georgia, Athens, GA 30602</wicri:regionArea></affiliation></author></analytic><monogr></monogr><series><title level="j">Advances in Space Research</title><title level="j" type="abbrev">JASR</title><idno type="ISSN">0273-1177</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1983">1983</date><biblScope unit="volume">2</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="111">111</biblScope><biblScope unit="page" to="125">125</biblScope></imprint><idno type="ISSN">0273-1177</idno></series><idno type="istex">CB9316B1C953CBCBA3AE61C756A0111EED584A5D</idno><idno type="DOI">10.1016/0273-1177(82)90228-9</idno><idno type="PII">0273-1177(82)90228-9</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0273-1177</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Landsat data have been employed to study and map agricultural developments in three regions of China: 1) Pearl River delta; 2) Nen River basin; and 3) Xinjiang Autonomous Region. Manual interpretation procedures used in conjunction with multi-date Landsat images and collateral information permitted rice yields to be estimated for the Pearl River delta in 1978. A combination of manual and computer-assisted analyses of Landsat data of Northeast China revealed that more than 15,000 km2 of agricultural land in a 184,500 km2 study area had been reclaimed from rangeland and marshland. These analyses also indicated a shift in cropping practices, with the foodcrops wheat and corn replacing cash crops such as soybeans. In the arid west, Landsat image data provided valuable input to a geographic information system (GIS). It appears the GIS approach will prove useful for evaluating agricultural land potential in the remote areas of China.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Istex/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000260 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Curation/biblio.hfd -nk 000260 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Agronomie
|area= SisAgriV1
|flux= Istex
|étape= Curation
|type= RBID
|clé= ISTEX:CB9316B1C953CBCBA3AE61C756A0111EED584A5D
|texte= Mapping recent agricultural developments in China from satellite data
}}
| This area was generated with Dilib version V0.6.28. |  |