Principles and Practices of Geoenvironmental Mapping

This book illustrates the range of Principles and Practices of Geoenvironmental Mapping which presently carries out around the world. Specialists in several countries have contributed a number of sub disciplinary and thematic topics including landslides, soil salinity, land surface water, land cover and use, flood risk etc. At the beginning, we discuss the landslide susceptibility mapping in vertical Distribution law of precipitation area of the hydropower station reservoir and a combination of geographically weighted regression, optimization and support vector machine for landslide susceptibility mapping. Then we present the evaluation of different soil salinity mapping using remote sensing techniques in arid ecosystems and soil clay content mapping using a time series of Landsat data in semi-arid lands. Mapping and modelling spatial variation in soil salinity using remote sensing indicators and regression techniques and operational mapping of soil moisture using synthetic aperture radar data are also discussed.

In the middle part of the book, we focus on land surface water mapping using multi-scale level sets and automated subpixel surface water mapping from heterogeneous urban environments using Landsat imagery. Then operational surface water detection and monitoring using Radarsat 2 and flood hazard mapping by using geographic information system and hydraulic model are also discussed. We also try to present urban flood mapping based on unmanned aerial vehicle remote sensing and random forest classifier and flood mapping and flood dynamics of the Mekong delta.

The last chapters of the book describe flood mapping based on multiple endmember spectral mixture analysis and random forest classifier and flood risk mapping using LiDAR for Nova Scotia. We also try to find out land cover mapping in Southwestern China using the HC-MMK approach and designing of an experiment to investigate subpixel mapping as an alternative method to obtain land use/land cover maps. At the end, we describe an automatic procedure for early disaster change mapping based on optical remote sensing and development of mobile mapping system for 3D road asset inventory.