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

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 moi...

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Bibliographic Details
Published inIGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477) Vol. 1; pp. 389 - 391 vol.1
Main Authors Jingfeng Xin, Guoliang Tian, Qinhuo Liu, Liangfu Chen, Xiaozhou Xin
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Clouds
Land surface temperature
Meteorology
Moisture measurement
Remote monitoring
Soil moisture
Spatial resolution
Temperature distribution
Temperature sensors
Vegetation mapping
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Summary: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.
ISBN:9780780379299
0780379292
DOI:10.1109/IGARSS.2003.1293785