Home ›
Entities
› academia
› The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China
The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China
Research article (International Journal of Remote Sensing, 2020) · cited 16× · AI/ML
The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China
Summary
The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China is a scholarly article[1].
Key Facts
The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China'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). The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-utility-of-fusing-multi-sensor-data-spatio-temporally-in-estimating-grassland-aboveground-biomass-in-the-three-river
MLA“The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-utility-of-fusing-multi-sensor-data-spatio-temporally-in-estimating-grassland-aboveground-biomass-in-the-three-river.
BibTeX@misc{4ortxyz_the-utility-of-fusing-multi-sensor-data-spatio-temporally-in-estimating-grassland-aboveground-biomass-in-the-three-river_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China}}, year = {2026}, url = {https://4ort.xyz/entity/the-utility-of-fusing-multi-sensor-data-spatio-temporally-in-estimating-grassland-aboveground-biomass-in-the-three-river}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The utility of fusing multi-sensor data spatio-temporally in estimating grassland aboveground biomass in the three-river headwaters region of China — https://4ort.xyz/entity/the-utility-of-fusing-multi-sensor-data-spatio-temporally-in-estimating-grassland-aboveground-biomass-in-the-three-river (retrieved 2026-05-24)
