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 …

In this paper, we discuss spatiotemporal data fusion methods in remote sensing. These
methods fuse temporally sparse fine-resolution images with temporally dense coarse …

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 …

The electromagnetic radiation (EMR) signals collected by satellites in the solar spectrum are
modified by scattering and absorption by gases and aerosols while traveling through the …

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 …

This book discusses the fundamentals of land-use and land-cover characterization,
map**, and monitoring using remote sensing technology. After covering the basic …

The radiometric normalization of multitemporal satellite optical images of the same terrain is
often necessary for land cover change detection, eg, relative differences. In previous studies …

Grassland systems frequently exhibit small‐scale botanical and structural heterogeneity with
pronounced spatio‐temporal dynamics. These features present particular challenges for …

Since the advent of hyperspectral remote sensing in the 1980s, it has made important
achievements in aerospace and aviation field and been applied in many fields …