Characterizations of land-cover dynamics are among the most important applications of
Earth observation data, providing insights into management, policy and science. Recent …

Techniques based on multi-temporal, multi-spectral, satellite-sensor-acquired data have
demonstrated potential as a means to detect, identify, map and monitor ecosystem changes …

Data that have been processed to allow analysis with a minimum of additional user effort are
often referred to as Analysis Ready Data (ARD). The ability to perform large scale Landsat …

Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution
measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short …

The area of land use or land cover change obtained directly from a map may differ greatly
from the true area of change because of map classification error. An error-adjusted estimator …

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 …

Computer Processing of Remotely-Sensed Images A thorough introduction to computer
processing of remotely-sensed images, processing methods, and applications Remote …

Detecting regions of change in multiple images of the same scene taken at different times is
of widespread interest due to a large number of applications in diverse disciplines, including …

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 …

A highly automated algorithm called vegetation change tracker (VCT) has been developed
for reconstructing recent forest disturbance history using Landsat time series stacks (LTSS) …