Comparative Evaluation of Operational Land Imager sensor on board Landsat 8 and Landsat 9 for Land use Land Cover Mapping over a Heterogeneous Landscape-Reference-Cited by-同舟云学术

Comparative Evaluation of Operational Land Imager sensor on board Landsat 8 and Landsat 9 for Land use Land Cover Mapping over a Heterogeneous Landscape

Published:2022-11-28 Issue: Volume: Page:1-21
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Shahfahad ¹,Talukdar Swapan¹^ORCID,Naikoo Mohd Waseem¹^ORCID,Rahman Atiqur¹^ORCID,Gagnon A.S²^ORCID,Islam Abu Reza Md Towfiqul³^ORCID,Mosavi Amir⁴

Affiliation:

1. Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 110025, India

2. Department of Geography, Liverpool John Moores University, United Kingdom

3. Department of Disaster Management, Begum Rokeya University, Rangpur-5400, Bangladesh

4. Faculty of Informatics, Obuda University, Budapest, Hungary

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2152496

Reference83 articles.

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2. Adam E, Mutanga O, Odindi J, Abdel-Rahman EM. 2014. Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers. International Journal of Remote Sensing, 35(10):3440-3458.

3. Adnan MSG, Abdullah AYM, Dewan A, Hall JW. 2020. The effects of changing land use and flood hazard on poverty in coastal Bangladesh. Land Use Policy, 99:104868.

4. Alam A, Bhat MS, Maheen M. 2020. Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley. GeoJournal, 85(6): 1529-1543.

5. Amolins K, Zhang Y, Dare P. 2007. Wavelet based image fusion techniques—An introduction, review and comparison. ISPRS Journal of photogrammetry and Remote Sensing, 62(4):249-263.

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