ABSTRACT GIS, remote sensing and Global positioning System are the most widely useful
tools for land use planning and decision support system. Remotely sensed imagery is …

This research aims to discover potential of hyperspectral remote sensing data for mapping
high-mountain vegetation ecosystems. First, the importance of mountain ecosystems to …

Multispectral remote sensing images have been widely used for automated land use and
land cover classification tasks. Often thematic classification is done using single date image …

Random forest (RF) is one of the most powerful ensemble classifiers often used in machine
learning applications. It has been found successful on many benchmarked data. However …

Hyperspectral remote sensing data has numerous spectral information for the land-use/land-
cover (LULC) classification, but a large number of hyperspectral band data is becoming a …

Recent advances in hyperspectral remote sensing techniques and technologies allow us to
more accurately identify larger range of crop species from airborne measurements. This …

Rozpowszechnienie i zintensyfikowanie prac doty! czących kartowania pokrycia terenu
nierozerwalnie wiąże się z wykorzystaniem metod teledetekcyjnych, które są …

Recent advancement in artificial intelligence (AI) has created new vistas in various
applications of image processing during the last two decades. Image-processing techniques …

Hyperspectral remote sensing data is characterized by the large number of contiguous
spectral bands with narrow bandwidth. Enormous information available in hyperspectral …

Remote sensing offers an efficient and reliable means of collecting the information required
for mapping, assessing and monitoring of agricultural crop conditions and production …