Vegetation condition has a close relation with the dry and wet degree of environment.The normalized difference vegetation index(NDVI) is a good index indicating the condition.Generally
the NOAA/AVHRR data may be used to monitor drought and there are some successful methods such as anomaly vegetation index(AVI) for the purpose.At present
the Flemish Institute for Technological Research
Belgium(VITO)
freely provides a set of SPOT VGT NDVI data from 1998 to 2006.Using the AVI calculated from the SPOT VGT NDVI data from 1998 to 2006
drought grade in the monitoring year was classified.The study successfully monitored the drought that occurred in Ningxia Hui Autonomous Region
Northwest China
in 2000.The result was also validated using meteorological observation data collected from some weather stations in Ningxia.It is shown that the method can be used not only to accurately monitor drought range and degree but also to help the governmental departments in related areas.
Monitoring Drought Using Temperature/Vegetation Drought Index Based on Remote Sensing Images
Services System Development and Application of Drought Monitoring and Early Warning and Evaluation over Northwest China
Vegetation Coverage Change of Maoxian County Before and After Wenchuan Earthquake
Spatio-temporal Variations Analysis of Vegetation Coverage in Western Tianshan Mountain from 1999 to 2016
Effects of vegetation restoration duration on runoff and sediment yield in slopes of waste dumps in alpine mining areas
Related Author
ZHANG Huapeng
PANG Yunfeng
DU Peijun
ZHAO Lihua
ZHANG Cunjie
LIANG Dongsheng
FANG Feng
MIAO Fang
Related Institution
Institute of Surveying and Spatial Information Engineering, China University of Mining and Technology
Key Laboratory for Land Resources and Disaster Monitoring of the State Bureau of Surveying and Mapping (SBSM) of China
Department of Production, Longkou Mine Group, Longkou, Shangdong
Institute of Lanzhou Arid Meteorology of the China Meteorological Administration, Key Laboratory ofArid Climate Change and Reducing Disaster of Gansu Province, and Key Open Laboratory of Climatic Change and Disaster Reduction