Título: A case-study of in-stream juvenile salmon habitat classification using decision-based fusion of multispectral aerial images
Autores: Christine Louise Woll; University of Alaska Fairbanks, School of Fisheries and Ocean Sciences
Anupma PRAKASH
Trent SUTTON
Fecha: 2011-01-18
Publicador: Applied Remote Sensing
Fuente:
Tipo:
Multispectral aerial photography; Supervised classification; Data fusion; Accuracy assessment
Tema: Fisheries; Remote sensing; Freshwater habitat
Accuracy Assessment, Classification, Decision-based Fusion, In-stream Habitat
Aerial photography; Data Fusion; Pacific Salmon; Salmon Habitat; Habitat Mapping
Descripción: Cataloging and monitoring the quality and quantity of freshwater rearing habitat for Pacific salmon Oncorhynchus spp. is essential for maintaining self-sustaining stocks of these species.  Field-based habitat monitoring in remote areas can be expensive, impractical, and subjective. We demonstrate the usefulness of high spatial resolution multispectral images acquired in the visible, near infrared and thermal infrared regions in effectively delineating habitat classes important to juvenile salmon rearing habitat. Our study showed that different spectral bands have complementary strengths, with visible bands being best for delineating main-channel habitats, visible and thermal infrared for off-channel habitats, and near infrared for landcover classes. Although no individual classification result captured all the habitat elements, a decision-based fusion that uses selected classes from all classified images provides a meaningful product that shows the spatial distribution and quantity of habitat classes.  An accuracy analysis using ground truth reference data demonstrated that habitat classes were identified with an overall accuracy of 82.5%, with in-stream classes having an overall accuracy of 76.0%.  This study has broad implications as it demonstrates that low-cost airborne images can be used to effectively determine the quality and quantity of juvenile Pacific salmon rearing habitat and decision-support in fisheries management.
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
Analysis of Spectral Vegetation Indices Related to Soil-Line for Mapping Mangrove Forests Using Satellite Imagery por Ibrahim Kasawani; Universiti Malaysia Terengganu, Malaysia,Usali Norsaliza; Universiti Putra Malaysia,Ismail Mohd Hasmadi; Universiti Putra Malaysia
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
Retrieving Tiger Habitats: Conserving Wildlife Geospatially por Suman Sinha; Research Fellow,Laxmikant Sharma; Assistant Professor,Mahendra Singh Nathawat; Professor & Head
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