In this paper, sixty-eight research articles published between 2000 and 2017 as well as
textbooks which employed four classification algorithms: K-Nearest-Neighbor (KNN) …

Land is a natural resource that humans have utilized for life and various activities. Land
use/land cover change (LULCC) has been of great concern to many countries over the …

A random forest (RF) classifier is an ensemble classifier that produces multiple decision
trees, using a randomly selected subset of training samples and variables. This classifier …

Although a detailed analysis of land use and land cover (LULC) change is essential in
providing a greater understanding of increased human-environment interactions across the …

Landsat data are increasingly used for ecological monitoring and research. These data often
require preprocessing prior to analysis to account for sensor, solar, atmospheric, and …

Pakistan falls significantly below the recommended forest coverage level of 20 to 30 percent
of total area, with less than 6 percent of its land under forest cover. This deficiency is …

Knowledge of tree species composition in a forest is an important topic in forest
management. Accurate tree species maps allow for much more detailed and in-depth …

Land cover map** in complex environments can be challenging due to their landscape
heterogeneity. With the increasing availability of various open-access remotely sensed …

Although online hotel reviews (OHR) help consumers in better decision–making, and
service providers in better service design and delivery, they are hard to manage due to their …

Abstract Land Use and Land Cover (LULC) maps are vital prerequisites for weather
prediction models. This study proposes a framework to generate LULC maps based on the …