Satellite observations and malaria: new opportunities for research and applications
Satellite remote sensing provides a wealth of information about environmental factors that
influence malaria transmission cycles and human populations at risk. Long-term …
influence malaria transmission cycles and human populations at risk. Long-term …
[HTML][HTML] Monitoring spatial-temporal variations of surface areas of small reservoirs in Ghana's Upper East Region using Sentinel-2 satellite imagery and machine …
Small reservoirs are one of the most important sources of water for irrigation, domestic and
livestock uses in the Upper East Region (UER) of Ghana. Despite various studies on small …
livestock uses in the Upper East Region (UER) of Ghana. Despite various studies on small …
Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies
L Carrea, JF Crétaux, X Liu, Y Wu, B Calmettes… - Scientific Data, 2023 - nature.com
A consistent dataset of lake surface water temperature, ice cover, water-leaving reflectance,
water level and extent is presented. The collection constitutes the Lakes Essential Climate …
water level and extent is presented. The collection constitutes the Lakes Essential Climate …
[HTML][HTML] A hybrid deep convolutional neural network for accurate land cover classification
Land cover classification provides updated information regarding the Earth's resources,
which is vital for agricultural investigation, urban management, and disaster monitoring …
which is vital for agricultural investigation, urban management, and disaster monitoring …
[HTML][HTML] Predicting the number of dusty days around the desert wetlands in southeastern Iran using feature selection and machine learning techniques
In the past decades, some desert wetlands have become critical regions for dust production
in the arid and semi-arid regions of the world. Accurate prediction of the number of dusty …
in the arid and semi-arid regions of the world. Accurate prediction of the number of dusty …
Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone?
Spatiotemporal quantification of surface water and flooding is essential given that floods are
among the largest natural hazards. Effective disaster response management requires near …
among the largest natural hazards. Effective disaster response management requires near …
Advancing global hydrologic modeling with the GEOGloWS ECMWF streamflow service
Most people face some level of water insecurity. Wise water management practices to
address water security issues typically require data derived from a combination of …
address water security issues typically require data derived from a combination of …
A multi-sensor satellite imagery approach to monitor on-farm reservoirs
Fresh water stored by on-farm reservoirs (OFRs) is an important component of surface
hydrology and is critical for meeting global irrigation needs. Farmers use OFRs to store …
hydrology and is critical for meeting global irrigation needs. Farmers use OFRs to store …
Monitoring small water bodies using high spatial and temporal resolution analysis ready datasets
Basemap and Planet Fusion—derived from PlanetScope imagery—represent the next
generation of analysis ready datasets that minimize the effects of the presence of clouds …
generation of analysis ready datasets that minimize the effects of the presence of clouds …
Detecting streamflow in dryland rivers using CubeSats
Determining the flow regime of non‐perennial rivers is critical in hydrology. In this study, we
developed a new approach using CubeSat imagery to detect streamflow presence using …
developed a new approach using CubeSat imagery to detect streamflow presence using …