Spatiotemporal environmental changes lead to disturbances in wild plant habitats, particularly regions characterized by changeable land use and cover. The present study aims characterize habitats the River Nile region of Dakahlia Governorate using a multidisciplinary approach, incorporating remote sensing, GIS sampling analyses. Twenty-four stands representing were geographically identified, sa...

To increase agricultural productivity and ensure food security, it is important to understand the reasons for variations in irrigation over time. However, researchers often avoid investigating water due data availability challenges. This study aimed assess performance of system winter wheat crops using a high-resolution satellite, Sentinel 2 A/B, combined with meteorological Google Earth Engine...

Abstract Urban greenspaces can affect the physical and mental health of city residents they also contribute to improving urban environmental quality in ways that benefit human health. Dhaka, a megacity with over 22.4 million residents, has progressively lost its greenspace past decade as grown urbanised. This study evaluates availability accessibility considering population residential areas, w...

Abstract. The urban heat island (UHI) is a common effect caused by urbanization and has been studied to evaluate the thermal condition in cities worldwide. However, most previous UHI analyses are performed major metropolitan cities. This study conducts spatiotemporal analysis of rapidly expanding low-density suburban centre determines how bio-productive land covers react extent disturbance each...

Land surface temperature (LST) is a key parameter closely related to various land processes and surface-atmosphere interactions. Analysis of spatiotemporal variation time-series LST may provide useful information understand eco-climatic characteristics. In this study, the pattern its trend characteristics in Henan Province were examined based on MODIS products from 2003 2021. addition, influenc...

Sembilang National Park, one of the best and largest mangrove areas in Indonesia, is very vulnerable to disturbance by community activities. Changes dynamic condition forests Park must be quickly easily accompanied monitoring efforts. One way monitor use remote sensing technology. Recently, machine-learning classification techniques have been widely used classify forests. This study aims invest...

Palm oil has become one of the most consumed vegetable oils in world, and it is a key element profitable global value chains. In Costa Rica, palm cultivation three crops with largest occupied agricultural area. The objective this study was to explain predict yield safe time lags for production management by using free-access satellite images. To end, machine learning methods were performed 20-y...

Lake Urmia is the 20th largest lake and the second largest hyper saline lake (before September 2010) in the world. It is also the largest inland body of salt water in the Middle East. Nevertheless, the lake has been in a critical situation in recent years due to decreasing surface water and increasing salinity. This study modeled the spatiotemporal changes of Lake Urmia in the period 2000–2013 ...