Título: Analysis of Spectral Vegetation Indices Related to Soil-Line for Mapping Mangrove Forests Using Satellite Imagery
Autores: Ibrahim Kasawani; Universiti Malaysia Terengganu, Malaysia
Usali Norsaliza; Universiti Putra Malaysia
Ismail Mohd Hasmadi; Universiti Putra Malaysia
Fecha: 2010-08-10
Publicador: Applied Remote Sensing
Fuente:
Tipo:
Classification using VIs
Tema: Remote Sensing
Remote sensing; Mangrove; Soil-line based vegetation indices; Kelantan delta
Mangrove forests
Descripción:  The study investigates the variation of spectral vegetation indices related to soil-line typically found in mangrove forest. This study carried out in the Kelantan Delta, Peninsular Malaysia by using soil-line based vegetation indices such as Perpendicular Vegetation Index (PVI), Soil-adjusted Vegetation Index (SAVI), Optimized Soil-Adjusted Vegetation Index (OSAVI), Transformed Soil-Adjusted Vegetation Index (TSAVI) and Modified Soil-Adjusted Vegetation Index (MSAVI). Landsat TM image was used to identify/classify mangrove areas within the study area. Soil-line based VI‟s which includes soil slope, intercept and parameter were introduced in mangrove mapping in order to remove the soil background for example humus, root and rock which can alter the vegetation spectral. A total of five mangrove classes were mapped out using unsupervised classification technique namely Avicennia-Sonneratia, Avicennia, Acanthus-Sonneratia, Mixed Acrostichum and Mixed Sonneratia. Avicennia-Sonneratia was the dominant mangrove type found in Kelantan Delta. The accuracy of mapping using five indices was ranges from 70% to 79%, respectively. Results indicate that SAVI was the best indices for mangrove mapping compared to other indices with accuracy of 79% and able to determine four mangrove classes. Based on the results soil influences in partially vegetated cover and SAVI shown the constant and sensitive correspond to spectral in the full range of vegetation covers.
Idioma: Inglés

Artículos similares:

Correlation of Multispectral Satellite Data with Plant Species Diversity vis-à-vis Soil Characteristics in a Landscape of Western Himalayan Region, India por Amit Chawla; Institute of Himalayan Bioresource Technology (CSIR),Amit Kumar,S Rajkumar,Rakesh Deosharan Singh,Ashwani Kumar Thukral,Paramvir Singh Ahuja
Evaluation of Forest Extent Changes: Multi-temporal Satellite Images por Podduwa Kankanamge Subash Chaninda Jayasinghe; Tokyo University of Agriculture and Technology,Masao Yoshida; Ibaraki University
A case-study of in-stream juvenile salmon habitat classification using decision-based fusion of multispectral aerial images por Christine Louise Woll; University of Alaska Fairbanks, School of Fisheries and Ocean Sciences,Anupma PRAKASH,Trent SUTTON
Retrieving Tiger Habitats: Conserving Wildlife Geospatially por Suman Sinha; Research Fellow,Laxmikant Sharma; Assistant Professor,Mahendra Singh Nathawat; Professor & Head
A Neural Network Model for Mapping and Predicting Unconventional Soils at A Regional Level por El-Sayed Ewis Omran; Soil and Water Department, Suez Canal University, Ismailia, Egypt
10 
Mapping Spatial and Temporal Distributions of Kuwait SST Using MODIS Remotely Sensed Data por Mohammad M M M Alsahli; Geography Department, Kuwait University,Mohammad M M M Alsahli; Geography Deprtment, Kuwait University,Kevin P Price; Geography Department, University of Kansas,Robert Buddemeier; Kansas Geological Survey, University of Kansas,Daphne G. Fautin; Ecology & Evolutionary Biology, University of Kansas,Stephen Egbert; 2Geography Department, University of Kansas