The wetland classification from remotely sensed data is usually difficult due to the extensive
seasonal vegetation dynamics and hydrological fluctuation. This study presents a random …

Abstract Remote Sensing Ecological Index (RSEI) is one of the most widely used ecological
quality assessment indicators. Due to the noise caused by adverse atmoshperic conditions …

Prediction and modeling using integrated datasets and expertise from various disciplines
greatly improve the management of invasive species. So far several attempts have been …

Advances in remote sensing (RS) technology in recent years have increased the interest in
including RS data into one-class classifiers (OCCs). However, this integration is complex …

Modeling the current distribution and predicting suitable habitats of threatened species
support proper planning processes for conservation and restoration. The aim of this study …

Evaluating regional ecological environmental quality (EEQ) using remote sensing is
important for achieving sustainable development. The remote sensing ecological index …

Aims Human‐induced pressures such as deforestation cause anthropogenic range
contractions (ARCs). Such contractions present dynamic distributions that may engender …

Yuxi, located in China's central plateau of Yunnan, is grappling with ecological and
environmental challenges as it continues to develop its economy. While ecological quality …

Landsat-based land-use land-cover (LULC) mapping studies were previously conducted in
Giba catchment, comprising an area of 4019 km2. No attempt has been done to map LULC …

Juniperus procera is the most preferred tree in Ethiopia. It is an endangered tree species
enumerated in IUCN red list. Accordingly, this study investigates the future suitable habitat of …