Spaceborne satellite remote sensing of tropical montane forests: a review of applications and future trends
Article
Article Title | Spaceborne satellite remote sensing of tropical montane forests: a review of applications and future trends |
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ERA Journal ID | 2010 |
Article Category | Article |
Authors | Altarez, Richard Dein D. (Author), Apan, Armando (Author) and Maraseni, Tek (Author) |
Journal Title | Geocarto International |
Journal Citation | 37 (26), pp. 11900-11928 |
Number of Pages | 29 |
Year | 2022 |
Place of Publication | United Kingdom |
ISSN | 1010-6049 |
1752-0762 | |
Digital Object Identifier (DOI) | https://doi.org/10.1080/10106049.2022.2060330 |
Web Address (URL) | https://www.tandfonline.com/doi/full/10.1080/10106049.2022.2060330 |
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. |
Keywords | tropical montane forest; spaceborne; remote sensing; optical sensor; radar sensormachine learning |
Related Output | |
Is part of | Machine learning-based assessment of deforestation, successional stages, and carbon stocks in a tropical montane forest using radar and optical satellite imagery |
ANZSRC Field of Research 2020 | 300707. Forestry management and environment |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
This article is part of a UniSQ Thesis by publication. See Related Output. | |
Byline Affiliations | Institute for Life Sciences and the Environment |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7479/spaceborne-satellite-remote-sensing-of-tropical-montane-forests-a-review-of-applications-and-future-trends
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