Tropical Vegetation and Land Cover Mapping Using LiDAR

Land cover land use mapping and change detection analysis using geographic information system and remote sensing

Land cover/land use categories are relevant components in land management. Understanding how land cover/land use change over time is necessary to assess the consequences of humans and natural stressors on the earth’s environment and resources. The aim of the study was to map and monitor the spatial and temporal change in land cover/land use for the periods of 1977, 1991 and 2016 and to predict ...

Support Vector Machines: Optimization and Validation for Land Cover Mapping Using Aerial Images and Lidar Data

This work investigates the optimization and validation of Support Vector Machines (SVMs) for land cover classification from multispectral aerial imagery and lidar data. For the optimization step, a new method based on a curve fitting technique was applied to minimize the grid search for the Gaussian Radius Basis Function (RBF) parameters. The validation step was based on two experiments. In the...

Land-Cover Mapping Using Airborne Polarimetric SAR

The potential of synthetic aperture radar (SAR) for land-cover mapping applications has since long time been recognized. The main advantage of the SAR is its all-weather mapping capability, which secures the mapping independent of cloud cover that may prevent acquisition by optical and infrared sensors. Furthermore, the backscattering of the radar waves is sensitive to the dielectric properties...

Land Cover Mapping Using Combination Classifiers

In recent years, large scale land cover maps constructed from remotely sensed data have become important information sources for resource management. For many applications, poor map accuracy limits their usability. This article investigates methods of combining classification rules for improving accuracy in general, and for exploiting spatial information in particular. We examine the performanc...

Land-cover and Land-use Mapping