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Vegetation discrimination and analysis


Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description

Vegetation discrimination and analysis using multi-spectral and hyper-spectral remote sensing imagery has gained a lot of widespread application in agricultural and vegetation applications. Such imagery has been successfully used in estimating vegetation characteristics like plant health, stress mapping, identifying disease and estimating crop yields resulting in millions of documented studies. Several characteristics of vegetation makes the use of remote sensing a desired method for vegetation description and analysis. In particular, vegetation reflectance in the red edge region has enhanced the use of hyper spectral remote sensing. Several methods for vegetation discrimination and analysis will be illustrated here among them utility of some common multispectral image classification algorithms. For hyperspectral image analysis, use of vegetation indices such as NDVI, MSAVI & MSR will be showcased. Additionally, advanced hyperspectral derivative analysis like the first derivative transformation, 4-point interpolation, Lagrangian interpolation, continuum removal, absorption depth analysis and linear pixel un-mixing methods will also be shown through different application cases.

Product Specifications
SKU :COC40946
AuthorSamuel Kusangaya
Number of Pages96
Publishing Year2012-10-04T00:00:00.000
Book TypeEarth sciences, geography, environment, planning
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-03-08 00:00:00