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Improved model for estimating the biomass of<i>Populus euphratica</i>forest using the integration of spectral and textural features from the Chinese high-resolution remote sensing satellite GaoFen-1
Research article (Journal of Applied Remote Sensing, 2015) · cited 15× · AI/ML
Improved model for estimating the biomass ofPopulus euphraticaforest using the integration of spectral and textural features from the Chinese high-resolution remote sensing satellite GaoFen-1
Summary
Improved model for estimating the biomass ofPopulus euphraticaforest using the integration of spectral and textural features from the Chinese high-resolution remote sensing satellite GaoFen-1 is a scholarly article[1].
Key Facts
Improved model for estimating the biomass ofPopulus euphraticaforest using the integration of spectral and textural features from the Chinese high-resolution remote sensing satellite GaoFen-1'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 model for estimating the biomass of<i>Populus euphratica</i>forest using the integration of spectral and textural features from the Chinese high-resolution remote sensing satellite GaoFen-1. Retrieved May 24, 2026, from https://4ort.xyz/entity/improved-model-for-estimating-the-biomass-of-i-populus-euphratica-i-forest-using-the-integration-of-spectral-and-textura
MLA“Improved model for estimating the biomass of<i>Populus euphratica</i>forest using the integration of spectral and textural features from the Chinese high-resolution remote sensing satellite GaoFen-1.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improved-model-for-estimating-the-biomass-of-i-populus-euphratica-i-forest-using-the-integration-of-spectral-and-textura.
BibTeX@misc{4ortxyz_improved-model-for-estimating-the-biomass-of-i-populus-euphratica-i-forest-using-the-integration-of-spectral-and-textura_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improved model for estimating the biomass of<i>Populus euphratica</i>forest using the integration of spectral and textural features from the Chinese high-resolution remote sensing satellite GaoFen-1}}, year = {2026}, url = {https://4ort.xyz/entity/improved-model-for-estimating-the-biomass-of-i-populus-euphratica-i-forest-using-the-integration-of-spectral-and-textura}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improved model for estimating the biomass of<i>Populus euphratica</i>forest using the integration of spectral and textural features from the Chinese high-resolution remote sensing satellite GaoFen-1 — https://4ort.xyz/entity/improved-model-for-estimating-the-biomass-of-i-populus-euphratica-i-forest-using-the-integration-of-spectral-and-textura (retrieved 2026-05-24)
