Characterization of Potential Springs in the Lower Colorado Desert of Southern California using Satellite Radar and Landsat Time Series Analysis
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Characterization of Potential Springs in the Lower Colorado Desert of Southern California using Satellite Radar and Landsat Time Series Analysis |
| 2. | Creator | Author's name, affiliation, country | Christopher Potter; Senior Scientist, NASA Ames Research Center, United States |
| 2. | Creator | Author's name, affiliation, country | (doi: 10.23953/cloud.ijarsg.68) |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | Radar; Landsat; Surface Water; Springs; Seeps; Solar Energy Development; Lower Colorado Desert; DRECP |
| 4. | Description | Abstract | Renewable energy development in southern California is receiving increasing attention due to potential impacts on wildlife habitats and water sources. This study was designed to quantify and map, for the first time, sub-surface water sources from springs in the Lower Colorado Desert area of southern California using satellite radar data and 30 years of Landsat satellite image data. Synthetic Aperture Radar (SAR) data was used to identify sub-surface water sources not already documented as springs or seeps in the National Hydrography Database. Landsat imagery starting in 1985 was used to characterize vegetation growth patterns at these suspected spring locations detected from SAR analysis. Results showed a total of 104 potential spring locations across the Lower Colorado Desert study area, 19 of which were detected within Solar Energy Zone (SEZ) development boundaries, roughly evenly split between Riverside East and Imperial East, and 13 of which (both inside and outside SEZs) showed relatively high green vegetation index values over the period of 1985 to 2015 that would depend on non-precipitation water sources associated with active springs. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | Bureau of Land Management |
| 7. | Date | (YYYY-MM-DD) | 2016-09-13 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-675 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 5 (Year 2016) |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
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