Landsat data constitute the longest record of global-scale medium spatial resolution earth
observation data. As a result, the current methods for large area monitoring of land cover …

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 …

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 …

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …

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 …

As remote sensing data and methods have become increasingly complex and varied-and
increasingly reliable-so have their uses in forest management. New algorithms have been …

Drone-borne hyperspectral imaging is a new and promising technique for fast and precise
acquisition, as well as delivery of high-resolution hyperspectral data to a large variety of end …

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

Topographic correction based on sun-canopy-sensor (SCS) geometry is more appropriate
than terrain-based corrections in forested areas since SCS preserves the geotropic nature of …