
Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown, P. e03386 - e03386
Published: Dec. 1, 2024
Language: Английский
Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown, P. e03386 - e03386
Published: Dec. 1, 2024
Language: Английский
Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1534 - 1534
Published: Sept. 22, 2024
Identifying the key climate variables affecting optical saturation values (OSVs) in forest aboveground biomass (AGB) estimation using remote sensing is crucial for analyzing OSV changes. This can improve AGB accuracy by addressing uncertainties associated with saturation. In this study, Pinus yunnanensis forests and Landsat 8 OLI imagery from Yunnan were used as case studies to explain issue. The spherical model was applied determine OSVs specific spectral bands (Blue, Green, Red, Near-Infrared (NIR), Short-Wave Infrared Band 2 (SWIR2)) derived imagery. Canonical correlation analysis (CCA) uncovered intricate relationships between climatic variations. results reveal following: (1) All showed a negative AGB, ranging 104.42 t/ha 209.11 t/ha, peaking southwestern region declining lowest levels southeastern region. (2) CCA effectively explained 93.2% of variations, identifying annual mean temperature (AMT) most influential factor. Additionally, wettest quarter (MTQ) precipitation (ANP) significant secondary determinants, higher observed warmer, more humid areas. These findings offer important insights into climate-driven reducing uncertainty enhancing precision estimations future research.
Language: Английский
Citations
0Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown, P. e03386 - e03386
Published: Dec. 1, 2024
Language: Английский
Citations
0