Spaceborne satellite remote sensing of tropical montane forests: a review of applications and future trends

Altarez, Richard Dein D. and Apan, Armando ORCID: https://orcid.org/0000-0002-5412-8881 and Maraseni, Tek ORCID: https://orcid.org/0000-0001-9361-1983 (2022) Spaceborne satellite remote sensing of tropical montane forests: a review of applications and future trends. Geocarto International. pp. 1-29. ISSN 1010-6049


Abstract

While our knowledge of tropical montane forests (TMFs) is limited, human activities continue to damage them. Remote sensing has shown its usefulness for forest investigations with difficult terrain. This study systematically reviewed the applications of spaceborne remote sensing to TMFs with regards to time, spatial distribution, journal publication, methodology, theme, sensor systems, vegetation zones, research needs, and techniques applied. Our review found that the number of papers published between 1997 to 2021 has increased considerably. Experts used optical sensors with low to medium spatial resolution (85.76%), and that the use of synthetic aperture radar received little attention (12.70%). Published articles varied substantially between continents, with the Americas having the most studies (62.26%), leaving Asia, Africa, and Oceania behind. Most research has focused on forestry (42.66%), climate science (11.01%), and disaster management (9.63%). This paper highlighted the challenges and opportunities in the application of remote sensing in TMF conservation and management.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Sustainable Agricultural Systems (1 Aug 2018 -)
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Sustainable Agricultural Systems (1 Aug 2018 -)
Date Deposited: 10 May 2022 03:42
Last Modified: 10 May 2022 03:42
Uncontrolled Keywords: tropical montane forest; spaceborne; remote sensing; optical sensor; radar sensor machine learning
Fields of Research (2020): 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3007 Forestry sciences > 300707 Forestry management and environment
Socio-Economic Objectives (2020): 18 ENVIRONMENTAL MANAGEMENT > 1806 Terrestrial systems and management > 180601 Assessment and management of terrestrial ecosystems
Identification Number or DOI: https://doi.org/10.1080/10106049.2022.2060330
URI: http://eprints.usq.edu.au/id/eprint/48207

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