Home ›
Entities
› academia
› Optimizing spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms
Optimizing spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms
Research article (Progress in Physical Geography Earth and Environment, 2017) · cited 47× · AI/ML
Optimizing spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms
Summary
Optimizing spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms is a scholarly article[1].
Key Facts
Optimizing spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Optimizing spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-spaceborne-lidar-and-very-high-resolution-optical-sensor-parameters-for-biomass-estimation-at-icesat-glas-foo
MLA“Optimizing spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-spaceborne-lidar-and-very-high-resolution-optical-sensor-parameters-for-biomass-estimation-at-icesat-glas-foo.
BibTeX@misc{4ortxyz_optimizing-spaceborne-lidar-and-very-high-resolution-optical-sensor-parameters-for-biomass-estimation-at-icesat-glas-foo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-spaceborne-lidar-and-very-high-resolution-optical-sensor-parameters-for-biomass-estimation-at-icesat-glas-foo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms — https://4ort.xyz/entity/optimizing-spaceborne-lidar-and-very-high-resolution-optical-sensor-parameters-for-biomass-estimation-at-icesat-glas-foo (retrieved 2026-05-24)
