Land Surface Remote Sensing in Agriculture and Forest - Image 1

£88.15

Elsevier Land Surface Remote Sensing in Agriculture and Forest

Name: Land Surface Remote Sensing in Agriculture and Forest
Brand: Elsevier
Price: 88.15 GBP
Availability: InStock

Cartography, Geodesy & Geographic Information Systems

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Description

The environmental and economic importance of monitoring forests and agricultural resources has allowed remote sensing to be increasingly in the development of products and services responding to user needs. This volume presents the main applications in remote sensing for agriculture and forestry, including the primary soil properties, the estimation of the vegetation’s biophysical variables, methods for mapping land cover, the contribution of remote sensing for crop and water monitoring, and the estimation of the forest cover properties (cover dynamic, height, biomass). This book, part of a set of six volumes, has been produced by scientists who are internationally renowned in their fields. It is addressed to students (engineers, Masters, PhD), engineers and scientists, specialists in remote sensing applied to agriculture and forestry. Through this pedagogical work, the authors contribute to breaking down the barriers that hinder the use of radar imaging techniques. Provides clear and concise descriptions of modern remote sensing methods Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications Provides chapters on physical principles, measurement, and data processing for each technique described Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made

Product Specifications

Brand: Elsevier
Format: hardcover
ASIN: 1785481037
Category: Books > Subjects > Science, Nature & Maths > Earth Sciences > Geography > Cartography, Geodesy & Geographic Information Systems
Domain: Amazon UK
Release Date: 06 September 2016
Listed Since: 02 May 2016

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Elsevier Land Surface Remote Sensing in Agriculture and Forest

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