Remote Monitoring

In a groundbreaking study published in ‘PLoS ONE’, researchers have unveiled critical insights into the pervasive issue of mycotoxin contamination in maize, particularly within smallholder farming systems in Tanzania. Led by William Stafstrom, the re

A recent systematic review published in Geocarto International has shed light on the critical role of geospatial technologies in monitoring freshwater lakes, a resource increasingly threatened by human activities. The research, led by Kamilia Kamaruz

Recent research has shed light on the ecological impacts of open-pit mining on the Loess Plateau, an area known for its unique geological and environmental characteristics. Conducted by Xingbang Wang and his team at the Key Laboratory of Western Chin

In a significant advancement for agricultural resilience in water-scarce regions, a recent study led by Gurjeet Singh from the Department of Civil and Environmental Engineering at Michigan State University and the Sustainable Intensification Innovati

Recent research has unveiled significant insights into flood hazard monitoring in the Hennops River catchment area of Centurion, South Africa, a development that could have far-reaching implications for the mining sector. As climate change continues

Recent research from Huanhua Peng and his team at the Institute for Local Sustainable Development Goals at Hunan University of Science and Technology sheds light on the dynamic water storage variations in Dongting Lake, a critical ecological area in

In a significant advancement for soil management and agricultural productivity, researchers have unveiled a powerful method for estimating soil organic matter content (SOMC) using hyperspectral imaging technology. This innovative approach, led by Lin

In a groundbreaking study published in ‘Avian Conservation and Ecology’, researchers have shed light on the habitat preferences of the Dusky Grouse (Dendragapus obscurus) in Montana, a species that has long been under-monitored. This research, led by

A recent study published in ‘Ecological Informatics’ has unveiled a groundbreaking approach to accurately estimate leaf chlorophyll content (LCC) in Jujube trees, which could have significant implications for precision agriculture and environmental m

Recent advancements in satellite technology and machine learning are revolutionizing how we understand and mitigate the impacts of natural disasters, particularly floods. A groundbreaking study led by Nutchapon Prasertsoong from the Faculty of Econom