| Abstract: | Small bodies of water can be mapped with moderate-resolution satellite data using methods where water is mapped as subpixel fractions using field measurements or high-resolution images as training datasets. A new method, developed from a regression-tree technique, uses a 30 m Landsat image for training the regression tree that, in turn, is applied to the same image to map subpixel water. The self-trained method was evaluated by comparing the percent-water map with three other maps generated from established percent-water mapping methods: (1) a regression-tree model trained with a 5 m SPOT 5 image, (2) a regression-tree model based on endmembers and (3) a linear unmixing classification technique. The results suggest that subpixel water fractions can be accurately estimated when high-resolution satellite data or intensively interpreted training datasets are not available, which increases our ability to map small water bodies or small changes in lake size at a regional scale. |
| Genre: | Article |
| ProdID: | 70043294 |
| Citation Author: | Rover, Jennifer ; Wylie, Bruce K.; Ji, Lei |
| Citation Contributing Office: | Earth Resources Observation and Science (EROS) Center |
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| Citation End Page: | 2203 |
| Citation Issue: | 8 |
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| Citation Language: | English |
| Citation Larger Work Title: | International Journal of Remote Sensing |
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| Citation Phsyical Description: | 7 p. |
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| Citation Publisher: | Taylor and Francis |
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| Citation Search Results Text: | A self-trained classification technique for producing 30 m percent-water maps from Landsat data; 2010; Article; Journal; International Journal of Remote Sensing; Rover, Jennifer ; Wylie, Bruce K.; Ji, Lei |
| Citation Start Page: | 2197 |
| Citation Volume: | 31 |
| Citation Year: | 2010 |
| Type: | citation/reference |
| Text: | A self-trained classification technique for producing 30 m percent-water maps from Landsat data; 2010; Article; Journal; International Journal of Remote Sensing; Rover, Jennifer ; Wylie, Bruce K.; Ji, Lei |
| URL (DIGITAL OBJECT IDENTIFIER): | http://dx.doi.org/10.1080/01431161003667455 |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Tue, 1 Jan 2013 00:00 -0600 |
| Publisher: | Taylor and Francis |
