Estimating feature extraction changes of Berkelah Forest, Malaysia from multisensor remote sensing data using and object-based technique

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Estimating feature extraction changes of Berkelah Forest, Malaysia from multisensor remote sensing data using and object-based technique

The study involves an object-based segmentation method to extract feature changes in tropical rainforest cover using Landsat image and airborne LiDAR (ALS). Disturbance event that are represents the changes are examined by the classification of multisensor data; that is a highly accurate ALS with di...

書誌詳細
出版年:	Geocarto International
第一著者:	Rozali S.; Abd Latif Z.; Adnan N.A.; Hussin Y.; Blackburn A.; Pradhan B.
フォーマット:	論文
言語:	English
出版事項:	Taylor and Francis Ltd. 2022
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098498136&doi=10.1080%2f10106049.2020.1852610&partnerID=40&md5=66e511d48b0eb6730529c21f505b8a19

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