ICESat-2 data classification and estimation of terrain height and canopy height

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2023, Volume and Issue: 118, P. 103233 - 103233

Published: Feb. 22, 2023

ICESat-2 (Ice, Cloud, and Land Elevation Satellite-2) was launched in 2018 with a photon-counting LiDAR (Light Detection Ranging) system, ATLAS (Advanced Topographic Laser Altimeter System). It is collecting massive earth elevation data all over the world, which has shown potential of large-scale forest monitoring. However, energy emitted by system low, received signals are easily affected noise. Accurate classification photons an important step for parameter retrieval. Given limitations existing photon algorithms areas complex terrain, we proposed improved local outlier factor algorithm rotating search area (LOFR). First, transformed to along-track direction, noise preliminarily filtered out using histogram statistical methods. Next, ground extracted LOF (Local Outlier Factor) horizontal ellipse (LOFE) during initial stage filter that far away from ground. During refined stage, core algorithm, terrain slope calculated according classification. The elliptic then rotated align its long axis slope. Finally, LOFR scores remove signal classified into top-of-canopy photons, canopy photons. results show can effectively classify Both estimated height derived good agreement airborne data. mean absolute error (MAE) relative 1.45 m root square (RMSE) 2.82 m. For validation, correlation coefficient (R2), MAE, RMSE at best study scale (80 m) were 0.86, 1.82 m, 2.72 respectively. These demonstrated improve without prior knowledge terrain. Therefore, it could provide robust approach processing.

Language: Английский

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Utilizing Building Offset and Shadow to Retrieve Urban Building Heights with ICESat-2 Photons

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(15), P. 3786 - 3786

Published: July 30, 2023

Building height serves as an essential feature of urban morphology that provides valuable insights into human socio-cultural behaviors and their impact on the environment in milieu. However, openly accessible building information at individual level is still lacking remains sorely limited. Previous studies have shown ICESat-2′s ATL03/08 products are good accuracy for heights retrieval, however, these limited to areas with available data coverage. To this end, we propose a method extracting by using ICESat-2 ATL03 photons high-resolution remote sensing images. We first extracted roof footprint offsets shadows from high resolution imagery multitasking CNN frameworks. Using samples calculated photons, developed estimation combines offset shadow length information. assessed efficacy proposed Wujiaochang area Shanghai city, China. The results indicated able extract MAE 4.7 m, outperforms traditional shadow-based offset-based method. believe candidate accurately retrieving city-wide scale.

Language: Английский

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Vertical Accuracy Assessment and Improvement of Five High-Resolution Open-Source Digital Elevation Models Using ICESat-2 Data and Random Forest: Case Study on Chongqing, China

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(11), P. 1903 - 1903

Published: May 25, 2024

Digital elevation models (DEMs) are widely used in digital terrain analysis, global change research, Earth applications, and studies concerning natural disasters. In this investigation, a thorough examination comparison of five open-source DEMs (ALOS PALSAR, SRTM1 DEM, SRTM3 NASADEM, ASTER GDEM V3) was carried out, with focus on the Chongqing region as specific case study. By utilizing ICESat-2 ATL08 data for validation employing random forest model to refine variables such slope, aspect, land cover, landform type, study undertaken assess precision DEM data. Research indicates that spatial resolution significantly impacts accuracy DEMs. ALOS PALSAR demonstrated satisfactory performance, reducing corrected root mean square error (RMSE) from 13.29 m 9.15 m. The implementation resulted significant improvement 30 NASADEM product. This supported by decrease RMSE 38.24 9.77 m, demonstrating 74.45% enhancement accuracy. Consequently, datasets considered preferred sources mountainous urban areas. Furthermore, established clear relationship between consistent decline slope steepness increases. influence aspect be relatively minor, while vegetated areas medium-to-high-relief terrains were identified main challenges attaining offers valuable insights into selecting complex areas, highlighting critical importance choosing appropriate scientific research.

Language: Английский

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A high-quality global elevation control point dataset from ICESat-2 altimeter data

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: June 13, 2024

The ICESat-2 satellite equipped with a new photon-counting laser altimeter has received much attention as source of accurate elevation observations. However, in this research field, there is lack an open-source high-accuracy control point dataset the specific quality requirements at global scale. To end, using data main source, we constructed and organized useful supplement for field. was generated by methodology based on detection environment evaluation, photon spatial analysis, redundant observation statistics. includes more than 600 million points covers land areas, except Greenland Antarctica. been validated multiple digital models (DEMs) from around world (sourced airborne LiDAR data). results show that points. overall root-mean-square error (RMSE) original elevations about 1.384–4.820 m, but RMSE 0.279–0.642 m. Moreover, obtained study suitable application within high vegetation cover areas.

Language: Английский

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Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data

Earth system science data, Journal Year: 2025, Volume and Issue: 17(1), P. 205 - 220

Published: Jan. 24, 2025

Abstract. Advancements in scientific inquiry and practical applications have created a higher demand for the accuracy of global digital elevation models (GDEMs), especially GDEMs whose main data source is optical imagery. To address this challenge, integrating GDEM satellite laser altimeter (global coverage high-accuracy ranging) an important research direction, addition to technological enhancement source. In paper, we describe datasets algorithms used generate product (IC2-GDEM) by correcting ASTER (Advanced Spaceborne Thermal Emission Reflection Radiometer Global Digital Elevation Model) with ICESat-2 data. The algorithm scheme presents details strategies various challenges, such as processing DEM boundaries, fusion different data, geographical layout We control point dataset multiple local DEMs validation comprehensive assessment at scale. results from comparison show that IC2-GDEM evidently superior product: (1) RMSE reduction ratio corrected between 16 % 82 %, average about 47 %; (2) analysis topographies land covers, error effective even areas high topographic relief (>15°) vegetation cover (>60 %). has been use more than decade, many historical are based on its facilitates seamless integration these datasets, which essential longitudinal studies examining long-term environmental change, dynamics, climate impacts. Meanwhile, can serve new complementary existing (such Copernicus DEM) mainly sourced synthetic aperture radar (SAR) observation. By cross-validating qualities, filling gaps, conducting multi-scale analyses, it lead reliable discoveries, thereby improving overall quality reliability Earth science research. openly available https://doi.org/10.11888/RemoteSen.tpdc.301229 (Xie et al., 2024).

Language: Английский

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Coupling ICESat-2 and Sentinel-2 data for inversion of mangrove tidal flat to predict future distribution pattern of mangroves

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 136, P. 104398 - 104398

Published: Feb. 1, 2025

Language: Английский

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Multi-source data joint processing framework for DEM calibration and fusion

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 139, P. 104484 - 104484

Published: March 20, 2025

Language: Английский

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Accuracy assessment of topography and forest canopy height in complex terrain conditions of Southern China using ICESat-2 and GEDI data

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: March 20, 2025

ICESat-2 and GEDI offer unique capabilities for terrain canopy height retrievals; however, their performance measurement precision are significantly affected by conditions. Furthermore, differences in data scales complicate direct comparisons of capabilities. This study evaluates the accuracy retrievals from LiDAR complex environments. Jinghong City Pu’er Southwest China were selected as areas, with high-precision airborne serving a reference. Ground elevation retrieval accuracies compared before after scale unification to 30 m × under varying slope Results indicate that shows significant advantage retrieval, RMSE values 4.75 4.21 unification, respectively. In comparison, achieved 4.94 4.96 m. Both systems maintain high flat regions, but declines increasing slope. For outperforms ICESat-2. Before an R² 0.73 5.15 m, 0.67 5.32 contrast, showed lower performance, 0.65 7.42 0.53 8.29 unification. maintains higher across all levels. Post-scale both show ground being superior. achieves better accuracy. These findings highlight synergistic strengths ICESat-2’s photon-counting GEDI’s full-waveform techniques, demonstrating advancements satellite laser altimetry retrieval.

Language: Английский

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Creation of ICESat-2 Footprint Level Global Geodetic Control Points Using Crossover Analysis

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1159 - 1159

Published: March 25, 2025

Precise measurements of the Earth’s surface are possible using satellite laser altimetry data, as demonstrated by NASA’s ICEsat-2 mission. Recently, vertical accuracy ICESat-2 data has been validated to <3 cm (bias) and <15 RMSE, making these a prime candidate for global reference system. This research will demonstrate methodology results creation network global, geodetic points based on crossover heights. In this study, we explore feasibility utilizing terrain heights at locations look evaluate from different beam combinations (i.e., strong–strong, weak–weak, weak–strong) well impact acquisition time, land cover, presence snow results. Comparisons high-quality crossovers against airborne lidar serving were found have mean error less than 15 each AOR examined RMSE 35 two three sites; value 85 was obtained third site. Preliminary indicate even in forested regions can be used vertically constrain other products such DEMs.

Language: Английский

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Correction of ICESat-2 terrain within urban areas using a water pump deployment criterion with the vertical contour of the terrain

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 298, P. 113817 - 113817

Published: Sept. 20, 2023

Language: Английский

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