remote-sensing

IntroductionThe growing emphasis on sustainable practices in sports facilities highlights the need for advanced methodologies in environmental monitoring and sustainability assessment. This study presents a machine learning framework, EnviroNet, specifically developed for remote sensing-based environmental monitoring to evaluate sustainability and support climate action.MethodsEnviroNet incorpora…

A rainbow blanket of patchwork colors sprawls across South Africa in this new composite image created using data from NASA's latest Earth-observing mission.

Florida State University research published today in Science Advances demonstrates a new framework for predicting the motion of kilometer-scale underwater waves that complicate satellite readings of the ocean. By accurately modeling these subsurface waves, scientists can remove their interference from NASA's Surface Water and Ocean Topography, or SWOT, satellite, improving the satellite's signal …

Global warming is driving a significant increase in the frequency and intensity of extreme weather events, posing serious challenges to regional ecological security and sustainable agricultural development. Northeast China, situated at the climatic transition between temperate monsoon and cold temperate zones, is particularly sensitive to extreme heatwaves, heavy rainfall, and prolonged drought. …

Scientific Data, Published online: 02 June 2026; doi:10.1038/s41597-026-07524-5 Remote sEnsing obServations of source Parameters and data IntegRation at EtnA: the RESPIRA database

A team of researchers has developed a knowledge-guided machine learning algorithm that uses satellite measurements to provide much more precise estimates of soil moisture across the globe. The researchers hope the data can eventually help farmers make better decisions about when to sow crops or irrigate fields, explains one of the scientists behind the project.

Nature Geoscience, Published online: 01 June 2026; doi:10.1038/s41561-026-01996-1 Global soil mineral data from orbital spectroscopy reduce uncertainty in dust’s solar radiative impact and improve estimates of Earth’s energy imbalance, according to analyses integrating high-resolution soil composition into Earth system models.

Antarctica plays a crucial role in Earth’s radiative energy balance, with the surface albedo of its snow cover being a key parameter. Snow albedo depends strongly on the optical properties of snow grains in the near-surface layers. Other factors including illumination geometry, cloud conditions and impurities influence albedo, though Antarctic snow is generally pristine. Surface roughness (SR), o…

This book delivers digital tools to manage arid deltas facing climate change, sea-level rise, and growing demand. It covers remote sensing, GIS, groundwater modeling, and AI forecasting. Case studies: Nile, Indus, and Colorado deltas (models to policy), including digital twins and sensor networks.

Award: The William T. Pecora Award recognizes outstanding scientific contributions toward a better understanding of Earth through satellite or aerial remote sensing. The award is presented annually by the U.S. Geological Survey and NASA. Awarded to: Eric Vermote, a research physical scientist with NASA’s Goddard Space Flight Center in Greenbelt, Maryland. Vermote is recognized for […] The post Tw…

Glacier surges are dynamic instabilities that dramatically alter glacier flow and geometry. Their triggers remain poorly understood, and improved methods of monitoring to further constrain the phenomenon are therefore important. We present a novel method for detecting glacier surges automatically using surface elevation data from NASA’s ICESat-2 laser altimetry satellite. Elevation changes from 2…

In this paper focused on the identification of Flood risk areas for essential developing flood preventive techniques. Hence, we have been finding the vulnerable sites and developing effective flood management strategies are important task. In this study, we have selected the Panchganga River, flowing in the Kolhapur district of Maharashtra, which are facing flood problems hence we have examined a…

Against the backdrop of global warming, an intensified hydrological cycle has led to more frequent and more destructive short-duration extreme rainfall events. Rapid and objective delineation of flood inundation extent is therefore critical for emergency response and post-disaster assessment. Taking the extreme rainfall–triggered flood in Miyun District, Beijing, in July 2025 as a case study, thi…

Wetland carbon sink is considered to be one of the most important components of the global carbon cycle. Space-borne remote sensing serves as a vital data source for the classification and carbon sink estimation of wetland. However, inadequate spatial resolution often impedes the accurate classification of different vegetation types, substantially affecting the precision of carbon sink assessment…

From May 5 to 7, the Landsat Science Team meeting convened at the Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD. Co-moderated by Landsat 8, 9, and 10 Project Scientist Chris Neigh, the three-day event officially introduced the new 2026–2030 Science Team members. The post New Landsat Science Team Holds First In-Person Meeting appeared first on NASA Science .

Tropospheric delay is a major error source for the high-accuracy Very Long Baseline Interferometry (VLBI) technique due to rapid water vapor variations. The Niell mapping function (NMF) and Global Mapping Function (GMF) are extensively applied to convert zenith tropospheric delay to slant delays for real-time deep-space VLBI operations. In this study, we quantitatively evaluate the performance of…

This study investigated the spatial distribution and driving factors of evapotranspiration (ET) in the Kuye River Basin during the 2023 growing season. Landsat 8 remote sensing imagery and meteorological data were used to estimate ET based on the surface energy balance system (SEBS) model, and the results were evaluated against reference evapotranspiration calculated using the Penman-Monteith mod…

Water resources constitute an indispensable foundation for human survival and sustainable development, and their protection is a core objective of the United Nations Sustainable Development Goals. Conventional water quality monitoring methods are constrained by limitations in spatiotemporal coverage and operational costs, rendering them inadequate for meeting the demands of large-scale, dynamic m…