Results 21 to 30 of about 6,073 (210)

Consolidating ICESat-2 Ocean Wave Characteristics with CryoSat-2 during the CRYO2ICE Campaign

open access: yesRemote Sensing, 2022
Using the Ice, Cloud, and land Elevation Satellite 2 (ICESat-2) global high-resolution elevation measurements, it is possible to distinguish individual surface ocean waves. With the vast majority of ocean surveying missions using radar satellites, ICESat-
Bjarke Nilsson   +3 more
doaj   +1 more source

GEDI: A New LiDAR Altimetry to Obtain the Water Levels of More Lakes on the Tibetan Plateau

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Remote sensing is an effective means for lake water level monitoring on the Tibetan Plateau (TP). The purpose of this study is to estimate water levels of lakes on the TP using the Global Ecosystem Dynamics Investigation (GEDI) and Cloud and Land ...
Juan Wu   +5 more
doaj   +1 more source

A Methodological Framework for Mapping Canopy Cover Using ICESat-2 in the Southern USA

open access: yesRemote Sensing, 2023
NASA’s Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) provides exceptional opportunities for characterizing the structure of ecosystems through the acquisition of along-track, three-dimensional observations.
Lana L. Narine   +2 more
doaj   +1 more source

Retrieval of DTM under Complex Forest Stand Based on Spaceborne LiDAR Fusion Photon Correction

open access: yesRemote Sensing, 2022
The new generation of satellite-borne laser radar Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) data has been successfully used for ground information acquisition.
Bin Li   +4 more
doaj   +1 more source

Calculation of Deflection of Vertical and Gravity Anomalies Over the South China Sea Derived from ICESat-2 Data

open access: yesFrontiers in Earth Science, 2021
The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) satellite uses a synchronized multi-beam photon-counting method to collect data from three pairs of synchronous ground tracks.
Defu Che   +3 more
doaj   +1 more source

Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example

open access: yesRemote Sensing, 2020
National Aeronautics and Space Administration’s (NASA’s) Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) provides rich insights over the Earth’s surface through elevation data collected by its Advanced Topographic Laser Altimeter System (ATLAS ...
Lana L. Narine   +2 more
doaj   +1 more source

Towards global spaceborne lidar biomass: Developing and applying boreal forest biomass models for ICESat-2 laser altimetry data

open access: yesScience of Remote Sensing
Space-based laser altimetry has revolutionized our capacity to characterize terrestrial ecosystems through the direct observation of vegetation structure and the terrain beneath it.
A. Neuenschwander   +20 more
doaj   +1 more source

A new Arctic MSS model derived from combined Cryosat-2 and ICESat observations

open access: yesInternational Journal of Digital Earth, 2022
Due to the existence of seasonal or perennial sea ice cover, the determination of the Arctic sea surface is more difficult than that of mid-low latitudinal oceans.
Guodong Chen   +5 more
doaj   +1 more source

Performance Assessment of ICESat-2 Laser Altimeter Data for Water-Level Measurement over Lakes and Reservoirs in China

open access: yesRemote Sensing, 2020
Although the Advanced Topographic Laser Altimeter System (ATLAS) onboard the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) was primarily designed for glacier and sea-ice measurement, it can also be applied to monitor lake surface height (LSH ...
Cui Yuan, Peng Gong, Yuqi Bai
doaj   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner   +21 more
wiley   +1 more source

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