14Remote Sensing and Digital Image Processing for Article Enhancement
14.1 Homework Solution
14.1.1 Subject
Multisensor analysis for identification of coffee crops and other environmental targets in the Funil dam region, state of Minas Gerais, Brazil.
14.1.2 Abstract
Remote sensing has been viable for scalable, replicable and affordable mapping of land cover and land use change. Accurate details about the landscape are provided by classifying satellite images through image processing techniques, modeling, and use of classification algorithms. We aimed to evaluate a multisensor approach to identify coffee plantations, water, urban landscape, forest, bare soil, and grassland landscape in the Funil dam region, state of Minas Gerais, Brazil. ...
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