remote-sensing

In spectrometry--for example, in remote sensing--Gaussian filters or, because they are believed to cause less distortion, Savatzky-Golay filters are often used to improve the signal-to-noise ratio of spectra. Read here to find out how to do it bett...

Nature Water, Published online: 17 June 2026; doi:10.1038/s44221-026-00665-2 This Review synthesizes the transformative role of satellite remote sensing in reshaping global river science. It offers a strategic roadmap to overcome current challenges and update our fundamental understanding of Earth’s river systems.

LiDAR Patch Activity Use “laser-like” tools to map a hidden landscape just like a NASA scientist. What is LiDAR? Scientists use LiDAR to create topographical maps, meaning a type of map that shows the elevation of different areas. They use this to map different parts of the Earth’s surface, like forests or cities. Some types […] The post Girl Scout Patch – LiDAR appeared first on NASA Science .

High-precision satellite clock bias (SCB) prediction is essential for real-time remote sensing, real-time precise point positioning (RT-PPP), Earth observation, and spaceborne geodetic applications of Global Navigation Satellite Systems (GNSS). However, real-time services are frequently interrupted in data-scarce environments such as communication outages, which severely restrict the continuity a…

ABSTRACT This study examined the relationship between Land Use/Land Cover (LULC) changes and urban thermal behaviour in Jaipur City over 15 years, focusing on 2010, 2015, and 2025. In this study multi-temporal Landsat images and Sentinel-2 time-series data was used. It combines a Random Forest LULC classification, which achieved over 93% accuracy, with various spectral indices (NDVI, NDBI, MNDWI,…

The first time I stood on sea ice, I could not tell which direction the coast was. A community member named Bryan could. That gap in situational awareness, between what a trained remote sensing scientist could read from the landscape and what a local hunter understood instinctively, turned out to mirror almost exactly the gap in our satellite data: ICESat-2 produces reliable freeboard across the …

Scientific Data, Published online: 12 June 2026; doi:10.1038/s41597-026-07519-2 A global dataset of land-atmosphere coupling metrics based on observations for evaluating Earth system models

1. INTRODUCTION Land cover classification is one of the most important applications of remote sensing, as it helps in monitoring urban expansion, studying vegetation cover, identifying water bodies, and analyzing land use. Many traditional classification methods rely on classifying each pixel independently; however, this approach can produce noisy maps, especially when using Sentinel-2 imagery wi…

A compact, multifrequency radar built by a team at NASA’s Jet Propulsion Laboratory will make it easier to collect information about dynamic cloud systems. Called CloudCube, this new instrument simultaneously probes the atmosphere with three radar signals, spanning 36 to 240 GHz, for optimized sensitivity to a wide range of water droplet and ice particle sizes.

Scientific Reports, Published online: 10 June 2026; doi:10.1038/s41598-026-57084-2 RT-DETR-FCES: a lightweight ship detection algorithm from remote sensing perspective

A 2020 astronaut photo shows three uniquely colored lakes — Tahoe, Walker and Mono — straddling contrasting biomes on either side of the California-Nevada border.

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.