Integrating Remote Sensing Data and CNN-LSTM-Attention Techniques for Improved Forest Stock Volume E...
Integrating Remote Sensing Data and CNN-LSTM-Attention Techniques for Improved Forest Stock Volume Estimation: A Comprehensive Analysis of Baishanzu Forest Park, China
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Author / Creator
Wang, Bo , Chen, Yao , Yan, Zhijun and Liu, Weiwei
Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Forest stock volume is the main factor to evaluate forest carbon sink level. At present, the combination of multi-source remote sensing and non-parametric models has been widely used in FSV estimation. However, the biodiversity of natural forests is complex, and the response of the spatial information of remote sensing images to FSV is significantl...
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Full title
Integrating Remote Sensing Data and CNN-LSTM-Attention Techniques for Improved Forest Stock Volume Estimation: A Comprehensive Analysis of Baishanzu Forest Park, China
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_1e1ed3d2603e4fd68f8ab234c59037e2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1e1ed3d2603e4fd68f8ab234c59037e2
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16020324
