Home ›
Entities
› academia
› Mapping forest leaf area index using reflectance and textural information derived from WorldView-2 imagery in a mixed natural forest area in Florida, US
Mapping forest leaf area index using reflectance and textural information derived from WorldView-2 imagery in a mixed natural forest area in Florida, US
Research article (International Journal of Applied Earth Observation and Geoinformation, 2015) · cited 74× · AI/ML
Mapping forest leaf area index using reflectance and textural information derived from WorldView-2 imagery in a mixed natural forest area in Florida, US
Summary
Mapping forest leaf area index using reflectance and textural information derived from WorldView-2 imagery in a mixed natural forest area in Florida, US is a scholarly article[1].
Key Facts
Mapping forest leaf area index using reflectance and textural information derived from WorldView-2 imagery in a mixed natural forest area in Florida, US'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). Mapping forest leaf area index using reflectance and textural information derived from WorldView-2 imagery in a mixed natural forest area in Florida, US. Retrieved May 24, 2026, from https://4ort.xyz/entity/mapping-forest-leaf-area-index-using-reflectance-and-textural-information-derived-from-worldview-2-imagery-in-a-mixed-na
MLA“Mapping forest leaf area index using reflectance and textural information derived from WorldView-2 imagery in a mixed natural forest area in Florida, US.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mapping-forest-leaf-area-index-using-reflectance-and-textural-information-derived-from-worldview-2-imagery-in-a-mixed-na.
BibTeX@misc{4ortxyz_mapping-forest-leaf-area-index-using-reflectance-and-textural-information-derived-from-worldview-2-imagery-in-a-mixed-na_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mapping forest leaf area index using reflectance and textural information derived from WorldView-2 imagery in a mixed natural forest area in Florida, US}}, year = {2026}, url = {https://4ort.xyz/entity/mapping-forest-leaf-area-index-using-reflectance-and-textural-information-derived-from-worldview-2-imagery-in-a-mixed-na}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mapping forest leaf area index using reflectance and textural information derived from WorldView-2 imagery in a mixed natural forest area in Florida, US — https://4ort.xyz/entity/mapping-forest-leaf-area-index-using-reflectance-and-textural-information-derived-from-worldview-2-imagery-in-a-mixed-na (retrieved 2026-05-24)
