SPOT VEGETATION multi temporal data for classifying vegetation in south central Asia

被引：12

作者：

Agrawal, S ^{[1
]}

Joshi, PK ^{[1
]}

Shukla, Y ^{[1
]}

Roy, PS ^{[1
]}

机构：

[1] Indian Inst Remote Sensing, Dehra Dun 248001, Uttar Pradesh, India

来源：

CURRENT SCIENCE | 2003年 / 84卷 / 11期

关键词：

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Satellite remote sensing has enabled the acquisition of land use/land cover and vegetation information at different spatial and temporal scales. Vegetation instrument on-board Spot 4 satellite with four spectral bands - blue (0.43-0.47 mum), red (0.61-0.68 mum), infrared (0.78-0.89 mum) and short wave infrared (1.58-1.75 mum) at a spatial resolution of 1 km and temporal resolution of 1 day meets the requirement of vegetation mapping at a continental scale. This study focuses on the use of multitemporal SPOT VEGETATION data for vegetation mapping in south central Asia. The basis of classification is temporal dynamics, i.e. the pattern of change of Normalized Difference Vegetation Index (NDVI) values through a temporal domain which reflects the phenology of vegetation, crop cycle and the cropping system of agricultural practices. The temporal profile of NDVI facilitates the discrimination between different vegetation types and different types of cropping pattern.

引用

页码：1440 / 1448

页数：9

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