Hyperspectral Remote Sensing of Vegetation

被引：59

作者：

Im, Jungho ^{[1
]}

Jensen, John R. ^{[2
]}

机构：

[1] SUNY Syracuse, Coll Environm Sci & Forestry, Environm Resources & Forest Engn, Syracuse, NY 13210 USA

[2] Univ South Carolina, Geog, Columbia, SC 29208 USA

来源：

GEOGRAPHY COMPASS | 2008年 / 2卷 / 06期

关键词：

D O I：

10.1111/j.1749-8198.2008.00182.x

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

Hyperspectral analysis of vegetation involves obtaining spectral reflectance measurements in hundreds of bands in the electromagnetic spectrum. These measurements may be obtained using hand-held spectroradiometers or hyperspectral remote sensing instruments placed onboard aircraft or satellites. Hyperspectral remote sensing provides valuable information about vegetation type, leaf area index, biomass, chlorophyll, and leaf nutrient concentration which are used to understand ecosystem functions, vegetation growth, and nutrient cycling. This article first reviews hyperspectral remote sensing and then describes current modeling and classification techniques used to estimate and predict vegetation type and biophysical characteristics.

引用

页码：1943 / 1961

页数：19

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