Advances in Remote Sensing for Forestry: Theory, Methods, Applications, and Validation

Forests comprise the largest ecosystem in the world and provide significant value to natural ecosystems and human society [...]

Authors

Ying Yu (ORCID: https://orcid.org/0000-0003-1413-2277)
Xiguang Yang

Institutions

Northeast Forestry University (CN)

Publication Details

Journal: Forests
Published: 2026-01-06
DOI: https://doi.org/10.3390/f17010073
Primary Topic: Remote Sensing in Agriculture
Type: article
Field-Weighted Citation Impact: 0.00

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article

Advances in Remote Sensing for Forestry: Theory, Methods, Applications, and Validation

Ying Yu, Xiguang Yang

Jan 6, 2026

Forests

Remote Sensing in Agriculture

article

Advances in Remote Sensing for Forestry: Theory, Methods, Applications, and Validation

Ying Yu, Xiguang Yang

January 6, 2026article en

Abstract

Forests comprise the largest ecosystem in the world and provide significant value to natural ecosystems and human society [...]

ForestsVol. 17(1)

Northeast Forestry University (CN)

Life in Land

Openalex Percentile: Top 97%

Remote Sensing in Agriculture

DOI Open Access PDF OpenAlex

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Advances in Remote Sensing for Forestry: Theory, Methods, Applications, and Validation — Ying Yu, Xiguang Yang · Forests (2026) | TGRS Research Map | TGRS