Mapping of Forest Structural Parameters in Tianshan Mountain Using Bayesian-Random Forest Model, Syn...
Mapping of Forest Structural Parameters in Tianshan Mountain Using Bayesian-Random Forest Model, Synthetic Aperture Radar Sentinel-1A, and Sentinel-2 Imagery
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Basel: MDPI AG
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English
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Basel: MDPI AG
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The assessment of forest structural parameters is crucial for understanding carbon storage, habitat suitability, and timber stock. However, the labor-intensive and expensive nature of field measurements, coupled with inadequate sample sizes for large-scale modeling, poses challenges. To address the forest structure parameters in the Western Tiansha...
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Mapping of Forest Structural Parameters in Tianshan Mountain Using Bayesian-Random Forest Model, Synthetic Aperture Radar Sentinel-1A, and Sentinel-2 Imagery
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TN_cdi_doaj_primary_oai_doaj_org_article_7d0d06d9bbdb42059870c40b04ac3908
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7d0d06d9bbdb42059870c40b04ac3908
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16071268
