Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7268
Title: Characterization of drought development through remote sensing : a case study in Central Yunnan, China
Authors: Abbas, S
Nichol, J 
Qamer, FM
Xu, J
Keywords: NDVI
NVSWI
drought index
LST
TRMM
Issue Date: 2014
Publisher: MDPI
Source: Remote Sensing, May 2014, v. 6, no. 6, p. 4998-5018 How to cite?
Journal: Remote sensing 
Abstract: This study assesses the applicability of remote sensing data for retrieval of key drought indicators including the degree of moisture deficiency, drought duration and areal extent of drought within different land cover types across the landscape. A Normalized Vegetation Supply Water Index (NVSWI) is devised, combining remotely sensed climate data to retrieve key drought indicators over different vegetation cover types and a lag-time relationship is established based on preceding rainfall. The results indicate that during the major drought event of spring 2010, Evergreen Forest (EF) experienced severe dry conditions for 48 days fewer than Cropland (CL) and Shrubland (SL). Testing of vegetation response to drought conditions with different lag-time periods since the last rainfall indicated a highest correlation for CL and SL with the 4th lag period (i.e., 64 days) whereas EF exhibited maximum correlation with the 5th lag period (i.e., 80 days). Evergreen Forest, which includes tree crops, appears to act as a green reservoir of water, and is more resistant than CL and SL to drought due to its water retention capacity with deeper roots to tap sub-surface water. Identifying differences in rainfall lag-time relationships among land cover types using a remote sensing-based integrated drought index enables more accurate drought prediction, and can thus assist in the development of more specific drought adaptation strategies.
URI: http://hdl.handle.net/10397/7268
ISSN: 2072-4292
DOI: 10.3390/rs6064998
Rights: © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
The following publication Abbas, S., Nichol, J. E., Qamer, F. M. & Xu, J. (2014). Characterization of drought development through remote sensing : a case study in Central Yunnan, China. Remote Sensing, 6(6), 4998-5018 is available at http://dx.doi.org/10.3390/rs6064998
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