Billion Tree Tsunami Forests Classification Using Image Fusion Technique and Random Forest Classifie...
Billion Tree Tsunami Forests Classification Using Image Fusion Technique and Random Forest Classifier Applied to Sentinel-2 and Landsat-8 Images: A Case Study of Garhi Chandan Pakistan
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Basel: MDPI AG
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English
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Basel: MDPI AG
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In order to address the challenges of global warming, the Billion Tree plantation drive was initiated by the government of Khyber Pakhtunkhwa, Pakistan, in 2014. The land cover changes as a result of Billion Tree Tsunami project are relatively unexplored. In particular, the utilization of remote sensing techniques and satellite image classification...
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Billion Tree Tsunami Forests Classification Using Image Fusion Technique and Random Forest Classifier Applied to Sentinel-2 and Landsat-8 Images: A Case Study of Garhi Chandan Pakistan
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TN_cdi_doaj_primary_oai_doaj_org_article_b0c7597b2f96461fb289d2fad2d00f08
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b0c7597b2f96461fb289d2fad2d00f08
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ISSN
2220-9964
E-ISSN
2220-9964
DOI
10.3390/ijgi12010009
