Land Surface Remote Sensing in Agriculture and Forest

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 methodsExplores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applicationsProvides chapters on physical principles, measurement, and data processing for each technique describedDescribes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made

1: Mapping of Primary Soil Properties Using Optical Visible and Near Infrared (Vis-NIR) Remote Sensing

2: Estimation of Biophysical Variables from Satellite Observations

3: Land Cover Mapping from Optical Images

4: Contribution of Remote Sensing for Crop and Water Monitoring

5: Contribution of Remote Sensing to Crop Monitoring in Tropical Zones

6: Monitoring of Agricultural Landscapes Using Remote Sensing Data

7: Applications of Multispectral Optical Satellite Imaging in Forestry

8: Characterization of Forests with LiDAR Technology

9: Forest Biomass From Radar Remote Sensing