Results 81 to 90 of about 11,282,564 (182)
Abstract This study introduces Disease Vector Intelligence (DVI), an explainable Machine Learning (ML) framework developed within the EYWA (EarlY WArning system for mosquito‐borne diseases) ecosystem. DVI integrates big Earth Observation (EO), socioeconomic, and estimated mosquito abundance data to predict the presence or absence of West Nile Virus ...
Dimitrios Sainidis +2 more
wiley +1 more source
The estimation of crop evapotranspiration (ETc) is crucial for irrigation water management, especially in arid regions. This can be particularly relevant in the Po Valley (Italy), where arable lands suffer from drought damages on an annual basis, causing
Attila Nagy +8 more
doaj +1 more source
Climate change-induced glacier recession has sparked a dynamic transformation of glaciers in high-mountain areas worldwide, resulting in genesis, expansion, and dissipation of glacial lakes that pose a potential threat to downstream communities ...
Rimum Murtem +5 more
doaj +1 more source
Drought monitoring of forest vegetation using MODIS-based normalized difference drought index in Hungary [PDF]
In this paper, several spectral indices based on spectral reflectance data from the Terra satellite’s Moderate Resolution Imaging Spectro-radiometer (MODIS) sensor were evaluated in terms of their practical applicability for quantifying drought ...
Gulácsi András +5 more
core +1 more source
Water scarcity in Iran’s Gavkhoni Basin has intensified due to accelerated land-use change and ineffective water management. This study employs a spatially explicit Cellular Automata (CA) model to analyze drought-related transformations from 2010 to 2020
Asiyeh Abdollahi +4 more
doaj +1 more source
Genetically modified Cotton species detection by LISS-III satellite data [PDF]
It is possible to infer the genetically modified species by using remotely sensed data. Using ERDAS software the algorithm of BT (Bacillus thuringiensis) Cotton in Punjab, India was developed successfully.
Chander Kumar Singh +11 more
core +1 more source
Integrating the new variant OPTRAM and moisture-related indices for improved soil moisture prediction in Louisiana [PDF]
Accurate soil moisture prediction is essential for advancing agricultural productivity, optimizing water resource management, and strengthening climate adaptation strategies, particularly in hydrologically vulnerable regions such as Louisiana. This study
D. T. Gyan +7 more
doaj +1 more source
A Quantitative Approach for Analyzing the Relationship between Urban Heat Islands and Land Cover
With more than 80% of Brazilians living in cities, urbanization has had an important impact on climatic variations. São José dos Campos is located in a region experiencing rapid urbanization, which has produced a remarkable Urban Heat ...
Vanessa da Silva Brum Bastos +1 more
doaj +1 more source
Monitoring vegetation and hydrological dynamics in semi-arid ecosystems is critical for understanding responses to climate variability and anthropogenic pressures.
Ensaf Ahmed, Muna Ahmed
core +1 more source
Abstract The effective management and continuous monitoring of surface water resources are fundamental to environmental sustainability, climate science, and socio-economic stability. Remote sensing, powered by satellite technology, offers a powerful, scalable, and cost-effective methodology for mapping and monitoring the dynamics of water bodies over ...
openaire +1 more source

