Home › Entities › academia › AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION

AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION

Research article (˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences, 2015) · cited 10× · AI/ML
academia openalex:W2180196505
Press Enter · cited answer in seconds

AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION

Summary

AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION is a scholarly article[1].

Key Facts

  • AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION. Retrieved May 24, 2026, from https://4ort.xyz/entity/airborne-hyperspectral-remote-sensing-for-identification-grassland-vegetation
MLA “AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/airborne-hyperspectral-remote-sensing-for-identification-grassland-vegetation.
BibTeX @misc{4ortxyz_airborne-hyperspectral-remote-sensing-for-identification-grassland-vegetation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION}}, year = {2026}, url = {https://4ort.xyz/entity/airborne-hyperspectral-remote-sensing-for-identification-grassland-vegetation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AIRBORNE HYPERSPECTRAL REMOTE SENSING FOR IDENTIFICATION GRASSLAND VEGETATION — https://4ort.xyz/entity/airborne-hyperspectral-remote-sensing-for-identification-grassland-vegetation (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/airborne-hyperspectral-remote-sensing-for-identification-grassland-vegetation · Last refreshed: