Results 71 to 80 of about 1,535 (174)

Flood Inundation Modeling Using the Surface Water Ocean Topography Mission

open access: yesWater Resources Research, Volume 62, Issue 7, July 2026.
Abstract Flood risk mapping requires detailed river bathymetry, yet these data are unavailable for most rivers. We propose a new algorithm to estimate river bathymetry from multitemporal observations of water height by the Surface Water and Ocean Topography (SWOT) mission.
Jeffrey C. Neal   +7 more
wiley   +1 more source

Leveraging ICESat, ICESat‐2, and Landsat for Global‐Scale, Multi‐Decadal Reconstruction of Lake Water Levels

open access: yesWater Resources Research
AbstractLakes provide important water resources and many essential ecosystem services. Some of Earth's largest lakes recently reached record‐low levels, suggesting increasing threats from climate change and anthropogenic activities. Yet, continuous monitoring of lake levels is challenging at a global scale due to the sparse in situ gauging network and ...
Yao, Fangfang   +7 more
openaire   +3 more sources

Advancing High‐Resolution Lake Bathymetry Reconstruction Through Geomorphologically Informed Deep Learning in High Mountain Asia

open access: yesWater Resources Research, Volume 62, Issue 7, July 2026.
Abstract Accurate three‐dimensional (3D) lake bathymetry reconstruction is critical for water resources assessment and hydrological modeling yet remains constrained by data scarcity and oversimplified geometric assumptions. To address these challenges, we propose the Geomorphologically informed deep learning (GIDL) framework for high‐resolution 3D lake
Minglei Hou   +7 more
wiley   +1 more source

A Scalable, Cloud‐Based Workflow for Spectrally‐Attributed ICESat‐2 Bathymetry With Application to Benthic Habitat Mapping Using Deep Learning

open access: yesEarth and Space Science
Since the 2018 launch of NASA's ICESat‐2 satellite, numerous studies have documented the bathymetric measurement capabilities of the space‐based laser altimeter.
Forrest Corcoran   +3 more
doaj   +1 more source

Evaluation of ICESat-2 ATL09 Atmospheric Products Using CALIOP and MODIS Space-Based Observations

open access: yesRemote Sensing
Since its launch in 2018, the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) mission has provided atmospheric products, including calibrated backscatter profiles and cloud and aerosol layer detection.
Kenneth E. Christian   +3 more
doaj   +1 more source

Quantifying Permafrost Deformation with ICESat-2

open access: yes, 2020
We use ICESat-2 laser altimetry crossovers and repeat tracks collected over the North Slope of Alaska to estimate elevation changes due to the deformation of seasonally freezing and thawing permafrost. We compare these measurements with a time series of surface deformation from Sentinel-1 interferometric synthetic aperture radar (InSAR) and demonstrate
Roger J Michaelides   +2 more
openaire   +1 more source

Spaceborne LiDAR footprint-level AGB estimation and mapping across forest types using multisource remote sensing and U-Net

open access: yesInternational Journal of Digital Earth
Spaceborne light detection and ranging (LiDAR), including ICESat-2 and GEDI, supports large-scale forest aboveground biomass (AGB) mapping, but accurate estimation across heterogeneous forest types remains challenging.
Chu Wang   +5 more
doaj   +1 more source

A Software Tool for ICESat and ICESat-2 Laser Altimetry Data Processing, Analysis, and Visualization: Description, Features, and Usage

open access: yesSoftware
This paper presents a web-based software tool designed to process, analyze, and visualize satellite laser altimetry data, specifically from the Ice, Cloud, and land Elevation Satellite (ICESat) mission, which collected data from 2003 to 2009, and ICESat-2, which was launched in 2018 and is currently operational.
Bruno Silva 0009, Luiz Guerreiro Lopes
openaire   +2 more sources

Derivation and Evaluation of LAI from the ICESat-2 Data over the NEON Sites: The Impact of Segment Size and Beam Type

open access: yesRemote Sensing
The leaf area index (LAI) is a critical variable for forest ecosystem processes. Passive optical and active LiDAR remote sensing have been used to retrieve LAI.
Yao Wang, Hongliang Fang
doaj   +1 more source

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