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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Published in | IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477) Vol. 1; pp. 389 - 391 vol.1 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
2003
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Subjects | |
Online Access | Get full text |
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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. |
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ISBN: | 9780780379299 0780379292 |
DOI: | 10.1109/IGARSS.2003.1293785 |