Development of the New Algorithm for Mangrove Classificationt

No image available for this title
The objective of the study is to develop the algorithm for mangrove classification and density. Regression and correlation analysis was used to perform the equation. CE1 = (0.663*Band 3) + (0.l55 *Band 4) - (l.4*Band 5) + 0.995 And CE2 = 36 * Band 4 +
6*Band 5 + Band 3 were two formula that have been used to classify the mangrove. The object will be classified as mangrove when the value of CE1 is between -31.439 and 0.888, and value of CE2 is greater than or equal to 2000. On the other hand, density of the mangrove was expressed as DE = (2 * Band 4)/(Band 1+Band 3). Mangrove classification result in this study was similar to those of the existing methods. Statistical approach in this study generally gives the higher result tendency than other methods. Key words: Mangrove, Landsat ETM+, Empirical Model, Image Classification
Informasi Detil
Judul Seri -
No. Panggil -
Penerbit LAPAN : Jakarta.,
Deskripsi Fisik p.57-64 : ilus. ; 30 cm
Bahasa English
ISBN/ISSN 0216-6739
Klasifikasi NONE
Edisi International Journal of Remote Sensing and Earth
Subyek Mangrove
Landsat ETM+,
Empirical Model
Image Classification
Pernyataan Tanggungjawab
Pusfatja
Versi lain/terkait
JudulEdisiBahasa
International Journal of Remote Sensing and Earth Sciences Vol 2 (2005)Vol 2 (2005)id
Vertical Distribution of Chlorophyll-a Based on Neural NetworkInternational Journal of Remote Sensing and Earth en
Study of Ocean Primary Productivity Using Ocean Color Data around JapanInternational Journal of Remote Sensing and Earth en
Study of Modis-Aqua Data for Mapping Total Suspended Matter (TSM) in Coastal WatersInternational Journal of Remote Sensing and Earth en
Coral Reef Habitat Changing Assessment of Derawan Islands, East Kalimantan, Using Remote Sensing DataInternational Journal of Remote Sensing and Earth en
Mapping Coral Reef Habitat With and Without Water Column Correction Using Quickbird ImageInternational Journal of Remote Sensing and Earth en
Spectral Characteristization of Rice Field Using Multitemporal Landsat ETM DataInternational Journal of Remote Sensing and Earth en
The Application of Wavelet Analysis for Internal Wave Detection in SAR and Optical Images Data over Tsushima StraitInternational Journal of Remote Sensing and Earth en
The Assessment of Pelagic Fish Stock and its Distributions in Indian Ocean by Split Beam Acoustic SystemInternational Journal of Remote Sensing and Earth en
Numerical Calculation for the Residual Tidal Current in Benoa Bay-Bali IslandInternational Journal of Remote Sensing and Earth en
Komentar

Pilih Bahasa

Tipe Koleksi Dipublikasikan

Tipe Koleksi Tidak Dipublikasikan.

Advanced Search

License

This software and this template are released Under GNU GPL License Version 3.