Enhancing Large-Area DEM modeling of GF-7 stereo imagery: Integrating ICESat-2 data with Multi-characteristic constraint filtering and terrain matching correction

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 138, P. 104485 - 104485

Published: March 15, 2025

Language: Английский

---

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

---

A Robust InSAR-DEM Block Adjustment Method Based on Affine and Polynomial Models for Geometric Distortion

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1346 - 1346

Published: April 10, 2025

DEMs derived from Interferometric Synthetic Aperture Radar (InSAR) imagery are frequently influenced by multiple factors, resulting in systematic horizontal and elevation inaccuracies that affect their applicability large-scale scenarios. To mitigate this problem, study employs affine models polynomial function to refine the relative planar precision accuracy of DEM. acquire high-quality control data for adjustment model, introduces a DEM feature matching method maintains invariance geometric distortions, utilizing filtered ICESat-2 ATL08 as enhance accuracy. We first validate effectiveness features proposed InSAR-DEM algorithm select 45 ALOS high-resolution scenes with different terrain block experiments. Additionally, we additional Sentinel-1 Copernicus verify reliability multi-source adjustment. The experimental results indicate errors across areas were reduced approximately 50% 5%, while improved around 93% 17%. TPs extraction paper is more accurate at sub-pixel level compared traditional sliding window methods robust case non-uniform deformations.

Language: Английский

---

Optimizing Forest Canopy Height Estimation Through Varied Photon-Counting Characteristic Parameter Analysis, Window Size, and Forest Cover

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 1957 - 1957

Published: Nov. 7, 2024

Forests are an important component of the Earth’s ecosystems. Forest canopy height is fundamental indicator for quantifying forest The current spaceborne photon-counting Light Detection and Ranging (LiDAR) technique has photon cloud characteristic parameters to estimate height, factors such as sampling window size have not been quantitatively studied. To better understand precision estimating using LiDAR ICESat-2/ATLAS (Ice, Cloud, Land Elevation Satellite-2/Advanced Topographic Laser Altimeter System), this study quantified impact parameters, size, cover. Estimation accuracy was evaluated across nine areas in North America. findings revealed that when parameter set H70 (70% height) length 20 m, estimation results aligned more closely with airborne validation data, yielding superior evaluation indicators a root mean square error (RMSE) 4.13 m. Under cover 81%–100%, our algorithms exhibited high accuracy. These offer novel perspectives application forestry.

Language: Английский

---