Evaluation and integration of ancillary datasets for coastal wetland landcover classification using Landsat TM Imagery /
Ancillary data were compared with ground-truth data for use in separating saline and fresh wetland-landcover classes exhibiting similar spectral signatures. Two ancillary datasets, United States Fish and Wildlife Service (USFWS) National Wetland Inventory (NWI) and United States Geological Service...
| Main Author: | |
|---|---|
| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1993.
|
| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | Ancillary data were compared with ground-truth data for use in separating saline and fresh wetland-landcover classes exhibiting similar spectral signatures. Two ancillary datasets, United States Fish and Wildlife Service (USFWS) National Wetland Inventory (NWI) and United States Geological Service (USGS) 5-foot contour, were evaluated for integration within the National Oceanic and Atmospheric Administration (NOAA) Coastal Change Analysis Program (CCAP) classification model. Comparison through 2-way matrix analysis showed that the USGS dataset was the superior dataset for separating saline and fresh wetland-landcover classes and was subsequently integrated into the classification model. The resulting wetland-landcover classification using Landsat Thematic Mapper (TM) imagery of West Galveston Bay, Texas was validated using 407 ground-truth locations. It was concluded, that integration of ancillary data within the NOAA C-CAP classification model can produce map classification accuracies in excess of 85%, thereby meeting the NOAA C-CAP objective. |
|---|---|
| Item Description: | "Major subject: Wildlife and Fisheries Sciences". Vita. |
| Physical Description: | ix, 104 leaves : illustrations ; 28 cm. Also available online. |
| Bibliography: | Includes bibliographical references. |