Spatiotemporal variability of land surface moisture based on vegetation and temperature characteristics in Northern Shaanxi Loess Plateau, China
- Author
- ZHENGGUO LI1 2 ; YANGLIN WANG1 ; QINGBO ZHOU2 ; JIANSHENG WU3 ; JIAN PENG1 ; CHANG, Hsiaofei4
[1] Department of Geography, Peking University, Beijing 100871, China
[2] Key Laboratory of Resources Remote sensing and Digital Agriculture, Ministry of Agriculture (MOA), Beijing 100081, China
[3] shenzhen Graduate School, Peking University, Shenzhen 518031, China
[4] Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China - Source
Journal of arid environments. 2008, Vol 72, Num 6, pp 971-982, 12 p ; ref : 1 p.1/4
- CODEN
- JAENDR
- ISSN
- 0140-1963
- Scientific domain
- Agronomy, agriculture, phytopathology; Ecology; Environment; Geology
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Land surface temperature MODIS NDVI TVDI
- Keyword (fr)
- Humidité Indice végétation Loess Milieu aride Température Végétation Shaanxi
- Keyword (en)
- Humidity Vegetation index Loess Arid environment Temperature Vegetation
- Keyword (es)
- Humedad Indice de vegetación Loess Medio árido Temperatura Vegetación
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14B Animal and plant ecology / 002A14B04 Synecology / 002A14B04B Terrestrial ecosystems
- Discipline
- Animal, vegetal and microbial ecology
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20341732
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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