Drought monitoring from the remotely sensed temperature and vegetation index in China

Author

Xin, Jingfeng ; Tian, Guoliang ; Liu, Qinhuo ; Chen, Liangfu ; Xin, Xiaozhou

Author_Institution

Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing, China

Volume

1

fYear

2003

fDate

21-25 July 2003

Firstpage

389

Abstract

In this paper, temperature/vegetation index relation is used to evaluate soil moisture conditions by 8 km, 10-day composite AVHRR data set. To define the T/NDVI slope, window size and automatic linear fit are studied. Then T/NDVI slope is analyzed spatially and temporally. Results show that soil moisture is closely correlated to the T/NDVI slope. A new approach is proposed to estimate soil moisture availability by T/NDVI slope and T/NDVI space. Finally, soil moisture and drought distribution maps are produced in China.

Keywords

atmospheric temperature; hydrology; remote sensing; soil; vegetation mapping; NDVI slope; T/NDVI slope; automatic linear fit; composite AVHRR data set; drought distribution map; drought monitoring; remotely sensed temperature; soil moisture; temperature index; vegetation index; window size; Clouds; Land surface temperature; Meteorology; Moisture measurement; Remote monitoring; Soil moisture; Spatial resolution; Temperature distribution; Temperature sensors; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1293785

Filename

1293785