Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Remotely sensed data have become the primary source for biomass estimation. A summary
of previous research on remote sensing‐based biomass estimation approaches and a …

Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …

Timely and accurate change detection of Earth's surface features is extremely important for
understanding relationships and interactions between human and natural phenomena in …

A major benefit of multitemporal, remotely sensed images is their applicability to change
detection over time. Because of concerns about global and environmental change, these …

Different methods for topographic correction of Landsat Thematic Mapper images have been
assessed in the context of map** vegetation types. The best results were obtained with a …

The remote-sensing approach, using satellite and airborne sensors, is rapidly entering the
field of environmental sciences as a complementary tool for studying natural processes. This …

The urban surface temperature is a complex integrated natural-human geographic
phenomena; with the development of geostatistical methods and the application of …

Estimation of forest stand parameters such as aboveground biomass in a large area using
remotely sensed data has considerable significance for sustainable management and utility …

Atmospheric correction is an important preprocessing step required in many remote sensing
applications. The authors are engaged in the project'Human Dimensions of Amazonia …