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Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region
Research article (Remote Sensing, 2022) · cited 40× · AI/ML
Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region
Summary
Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region is a scholarly article[1].
Key Facts
Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region. Retrieved May 24, 2026, from https://4ort.xyz/entity/improved-object-based-estimation-of-forest-aboveground-biomass-by-integrating-lidar-data-from-gedi-and-icesat-2-with-mul
MLA“Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improved-object-based-estimation-of-forest-aboveground-biomass-by-integrating-lidar-data-from-gedi-and-icesat-2-with-mul.
BibTeX@misc{4ortxyz_improved-object-based-estimation-of-forest-aboveground-biomass-by-integrating-lidar-data-from-gedi-and-icesat-2-with-mul_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region}}, year = {2026}, url = {https://4ort.xyz/entity/improved-object-based-estimation-of-forest-aboveground-biomass-by-integrating-lidar-data-from-gedi-and-icesat-2-with-mul}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region — https://4ort.xyz/entity/improved-object-based-estimation-of-forest-aboveground-biomass-by-integrating-lidar-data-from-gedi-and-icesat-2-with-mul (retrieved 2026-05-24)
