Tree Biophysical Parameter Retrieval from Multi-source Remote Sensing Data Fusion
Concepts and Applications of Remote Sensing in Forestry, Page: 435-452
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Book Chapter Description
Malaysian tropical forest consists of marketed tree species such as Hopea, Neobalanocarpus and Shorea. According to the International Union for Conservation of Nature and Natural Resources (IUCN) Red list 2021, 160 tree species from the genus of Shorea are threatened. From this list, Shorea resinosa, Shorea exelliptica and Shorea macrantha are categorized as critically endangered species. Due to the current list, mapping and monitoring the tropical trees are deemed necessary. The recent remote sensing technology that allows for accurate operational and managerial inventories in a cost-effective and timely manner is constantly in demand. Multispectral remote sensing imagery such as WorldView-2, WorldView-3, GeoEye-1, Pleiades and SPOT 7 is extensively used in extracting the tree crown and classifying the tree species. Besides, airborne LiDAR is utilized mainly for accurate estimation of individual tree height. The fusion of multispectral imagery with airborne LiDAR data is believed to improve the estimation of tree biophysical parameters with the additional information. Therefore, this chapter provides an overview and analysis focused on Shorea spp. biophysical parameter retrieval from the fusion of multispectral and airborne LiDAR data using object-based image analysis (OBIA). The information provided should help readers to understand the characteristics, scale parameters, accuracy and limitations in retrieving the Shorea spp. in the tropical forest area.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85163515197&origin=inward; http://dx.doi.org/10.1007/978-981-19-4200-6_22; https://link.springer.com/10.1007/978-981-19-4200-6_22; https://dx.doi.org/10.1007/978-981-19-4200-6_22; https://link.springer.com/chapter/10.1007/978-981-19-4200-6_22
Springer Science and Business Media LLC
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