UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia
Mangrove forests are one of the most productive and bio-diverse wetlands environments on earth. In Malaysia, Forestry Department of Peninsular Malaysia (FDPM) has always been fully committed to the implementation of the sustainable forest management practices and in line with current concerns such...
| Main Author: | |
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| Format: | Article |
| Language: | English English |
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2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/7625/ http://psasir.upm.edu.my/id/eprint/7625/1/UPM.pdf |
| _version_ | 1848840648076034048 |
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| author | Jusoff, Kamaruzaman |
| author_facet | Jusoff, Kamaruzaman |
| author_sort | Jusoff, Kamaruzaman |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Mangrove forests are one of the most productive and bio-diverse wetlands environments on earth. In Malaysia, Forestry
Department of Peninsular Malaysia (FDPM) has always been fully committed to the implementation of the sustainable
forest management practices and in line with current concerns such as climate change, conservation of biodiversity and
Tsunami, have brought about a heightened expectation on the political, socio-economic, ecological and environmental
well-being of the country. Thus, managing mangrove forests is very challenging to the department and a precise
geospatial database is urgently required. The objectives of this paper are to assess the capability of UPM-APSB’s AISA
airborne hyperspectral imaging sensor for developing a geospatial database through an individual mangrove species
mapping and to determine the wavelength regions that define the inherent spectral characteristics amongst mangrove
species. A total of nine groups of mangrove species spectral separability were identified in Port Klang, Selangor namely
Lumnitzera littorea, Rhizophora mucronata, R. stylosa, Sonneratia alba, Avicennia officials, R. apiculata, Bruguiera
parviflora, B. gymnorhiza, B. cylindrical and S. caseolaris. The species were easily identified and separated in the NIR
range (700 nm to 900 nm) with the following spectral values namely (a) 1,750-6,000:B. cylindrical, (b) 2,000-7,750: B.
gymnorhiza, (c) 1,875-8,250: B. parviflora, (d) 1,875-5,500 :A. officials, (e) 1,625-6,250 :S. caseolaris, (f) 1,875-5,250:
S. alba, (g) 1,750-7,500: R. apiculata, (h) 2,000-8,000: R. stylosa, (i) 2,200-7,000: R. mucronata. Results of this study
indicated that the mangrove species could only be identified at the near infrared (NIR) wavelength (700 nm to 900 nm)
and not in the visible (VIS) spectrum. With such a capability, the sensor should be in a position to provide a geospatial
database of the Malaysian mangroves for Tsunami management and other purposes of interests. Future management of
mangrove forests in P.Malaysia should then adopt an integrated approach by further refining the current management
and incorporating latest findings and updated latest geospatial information through more vigorous airborne
hyperspectral data acquisition on mangrove forest. With the future geospatial database developed from the sensor, the
National Forestry Policy and other policies related to mangrove forests management can be revised from time to time to
match latest prevailing conditions and requirement. The future success in developing a mangrove geospatial database
using UPM-APSB’s AISA data by FDPM will in fact contribute to the sustainability of the wetlands in Malaysia which
is crucial to the survival and future health of our Mother Earth. |
| first_indexed | 2025-11-15T07:30:41Z |
| format | Article |
| id | upm-7625 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T07:30:41Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-76252015-10-20T01:37:55Z http://psasir.upm.edu.my/id/eprint/7625/ UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia Jusoff, Kamaruzaman Mangrove forests are one of the most productive and bio-diverse wetlands environments on earth. In Malaysia, Forestry Department of Peninsular Malaysia (FDPM) has always been fully committed to the implementation of the sustainable forest management practices and in line with current concerns such as climate change, conservation of biodiversity and Tsunami, have brought about a heightened expectation on the political, socio-economic, ecological and environmental well-being of the country. Thus, managing mangrove forests is very challenging to the department and a precise geospatial database is urgently required. The objectives of this paper are to assess the capability of UPM-APSB’s AISA airborne hyperspectral imaging sensor for developing a geospatial database through an individual mangrove species mapping and to determine the wavelength regions that define the inherent spectral characteristics amongst mangrove species. A total of nine groups of mangrove species spectral separability were identified in Port Klang, Selangor namely Lumnitzera littorea, Rhizophora mucronata, R. stylosa, Sonneratia alba, Avicennia officials, R. apiculata, Bruguiera parviflora, B. gymnorhiza, B. cylindrical and S. caseolaris. The species were easily identified and separated in the NIR range (700 nm to 900 nm) with the following spectral values namely (a) 1,750-6,000:B. cylindrical, (b) 2,000-7,750: B. gymnorhiza, (c) 1,875-8,250: B. parviflora, (d) 1,875-5,500 :A. officials, (e) 1,625-6,250 :S. caseolaris, (f) 1,875-5,250: S. alba, (g) 1,750-7,500: R. apiculata, (h) 2,000-8,000: R. stylosa, (i) 2,200-7,000: R. mucronata. Results of this study indicated that the mangrove species could only be identified at the near infrared (NIR) wavelength (700 nm to 900 nm) and not in the visible (VIS) spectrum. With such a capability, the sensor should be in a position to provide a geospatial database of the Malaysian mangroves for Tsunami management and other purposes of interests. Future management of mangrove forests in P.Malaysia should then adopt an integrated approach by further refining the current management and incorporating latest findings and updated latest geospatial information through more vigorous airborne hyperspectral data acquisition on mangrove forest. With the future geospatial database developed from the sensor, the National Forestry Policy and other policies related to mangrove forests management can be revised from time to time to match latest prevailing conditions and requirement. The future success in developing a mangrove geospatial database using UPM-APSB’s AISA data by FDPM will in fact contribute to the sustainability of the wetlands in Malaysia which is crucial to the survival and future health of our Mother Earth. 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/7625/1/UPM.pdf Jusoff, Kamaruzaman (2008) UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia. Modern Applied Science, 2 (6). pp. 90-96. ISSN 1913-1844 http://www.ccsenet.org/journal/index.php/mas/article/view/2126 English |
| spellingShingle | Jusoff, Kamaruzaman UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia |
| title | UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia |
| title_full | UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia |
| title_fullStr | UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia |
| title_full_unstemmed | UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia |
| title_short | UPM-APSB AISA Airborne Hyperspectral Technology for Managing Mangrove Forest in Malaysia |
| title_sort | upm-apsb aisa airborne hyperspectral technology for managing mangrove forest in malaysia |
| url | http://psasir.upm.edu.my/id/eprint/7625/ http://psasir.upm.edu.my/id/eprint/7625/ http://psasir.upm.edu.my/id/eprint/7625/1/UPM.pdf |