NDLI: Comparison of different sensors and analysis techniques for tropical mangrove forest mapping

Content Provider	IEEE Xplore Digital Library
Author	Aschbacher, J. Tiangco, P. Giri, C.P. Ofren, R.S. Paudyal, D.R. Ang, Y.K.
Copyright Year	1995
Description	Author affiliation: Joint Res. Centre, Comm. of the Eur. Communities, Ispra, Italy (Aschbacher, J.; Tiangco, P.)
Abstract	The objective of this study is to compare different remote sensing sensors and analysis techniques for the purpose of mangrove mapping. A study area in Southern Thailand of approximately 40/spl times/30 km size was selected. A systematic assessment of strengths and limitations of data taken from different sensors, namely Landsat TM, SPOT HRV, MOS MESSR, JERS-1 SAR and ERS-1 SAR, was carried out. The results of the investigation show that optical remote sensing data is highly suitable for mapping mangrove forests and can discriminate reasonably well four mangrove forest classes, namely homogeneous rhizophora, homogeneous nypa, mixed dense and mixed open mangrove forest. The classification accuracy is approximately 87%. The use of radar data alone resulted in a significantly lower classification accuracy, but on the other hand provided additional information related to the age distribution of rhizophora stands.
Starting Page	2109
Ending Page	2111
File Size	476730
Page Count	3
File Format	PDF
ISBN	0780325672
DOI	10.1109/IGARSS.1995.524122
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-07-10
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical sensors Satellites Remote sensing Remote monitoring Radar remote sensing Spaceborne radar Sensor systems Heart rate variability Ecosystems Sea measurements
Content Type	Text
Resource Type	Article

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