Drought Monitoring based on Anomaly Vegetation Index

被引：0

作者：

Liu Lusan ^{[1
]}

Cai Yulin ^{[2
]}

机构：

[1] Chinese Res Inst Environm Sci, River & Coastal Environm Res Ctr, Beijing, Peoples R China

[2] Shandong Univ Sci & Technol, Key Lab Surveying & Mapping Technol Isl & Reef, State Bur Surveying & Mapping, Qingdao, Peoples R China

来源：

EPLWW3S 2011: 2011 INTERNATIONAL CONFERENCE ON ECOLOGICAL PROTECTION OF LAKES-WETLANDS-WATERSHED AND APPLICATION OF 3S TECHNOLOGY, VOL 3 | 2011年

关键词：

Remote sensing; NDVIAnomaly Vegetation Index; MODIS;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The traditional method monitoring drought is using data acquired from field survey, which is not fit for large area drought monitoring. Instead, remote sensing technique can be an effective and alternate way. With the development of the remote sensing technique, the monitor of large-scale drought becomes more and more popular. This paper uses MODIS data (NDVI product) to calculate Anomaly Vegetation Index (AVI). According to the result, we analyzes drought occurring in Ningxia province from May to August of 2001-2005.

引用

页码：661 / 663

页数：3