Share Email Print

Proceedings Paper

Study on winter wheat drought monitoring by TVDI in Hebei Province
Author(s): Chunqiang Li; Hongjun Li
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Droughts hazard that occurrs frequently in nature and has a great impact on agriculture. Timely monitoring and assessment of drought conditions are critical to mitigate its effects. By using NOAA/AVHRR satellite data, in current study, we derived the normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI) and land surface temperature (LST), and analyzed the spatial characteristics of vegetation indexes and land surface temperature. The temperature vegetation dryness index (TVDI) was used to monitor the winter wheat drought conditions from March to May of 2005 in the middle-south part of Hebei Province, China. The results showed that SAVI was better than NDVI for representing the winter wheat growth condition in spring. The correlation of soil moisture with TVDI based on SAVI was greater than that of based on NDVI. The analysis of TVDI and soil moisture data from weather stations' measurement demonstrated that a better correlation existed between TVDI and relative humidity of soil at 10cm and 20cm. TVDI therefore can be used as a good indicator for operational drought monitoring.

Paper Details

Date Published: 27 September 2006
PDF: 8 pages
Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 62981U (27 September 2006); doi: 10.1117/12.678450
Show Author Affiliations
Chunqiang Li, Meteorological Institute of Hebei Province (China)
Hongjun Li, Institute of Genetic and Developmental Biology (China)

Published in SPIE Proceedings Vol. 6298:
Remote Sensing and Modeling of Ecosystems for Sustainability III
Wei Gao; Susan L. Ustin, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?