NDLI: Crop Drought Monitoring using MODIS NDDI over Mid-Territory of China

Content Provider	IEEE Xplore Digital Library
Author	Liu Cheng-lin Wu Jian-jun
Copyright Year	2008
Description	Author affiliation: Nanchang Univ., Nanchang (Liu Cheng-lin) \|\| Beijing Normal Univ., Beijing (Wu Jian-jun)
Abstract	Drought is one of the major environmental disasters in north China, whereas in recent years it have happened in mid and southern of china seriously, so it is very important to detect and monitor drought periodically at large scale for decision making. Droughts can be assessed with many kinds of indices but it is extremely difficult to quantitatively monitor and predict. Remote sensing is able to supply us with an update on crop condition over a large geographic area using a series of coarse resolution satellites and this technology has become the important means of drought monitoring. In this study, the analysis was conducted on the combining information from visible, near infrared, and short wave infrared channels to improve sensitivity to drought severity. Using the normalized difference drought index (NDDI) that had a stronger response to summer drought conditions than a simple difference between NDVI and NDWI, and is therefore a more sensitive indicator of drought in Jiangxi province of mid-territory in china than NDVI or NDWI alone. With the support of land use map and soil humidity of crop for the growing season, we build a simple model of Jiangxi province of China for crop drought monitoring. The results of August 2007 show that the large scale temporal and spatial characteristics of drought over mid-territory of China can be effectively detected by this way. Based on this method, we have developed a operational crop drought monitoring system for Jiangxi province land areas.
File Size	782933
File Format	PDF
ISBN	9781424428076
DOI	10.1109/IGARSS.2008.4779491
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Crops MODIS Remote monitoring Large-scale systems Decision making Satellites Condition monitoring Information analysis Soil Humidity Crop Drought NDVI NDWI NDDI
Content Type	Text
Resource Type	Article

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