Spatial Extent of Data
USGS Data Source
USGS Thesaurus Keywords
ISO 19115 Topic Category
Place Keywords
Landsat and Sentinel-2 satellite data fusion-derived evapotranspiration maps of Palo Verde Irrigation District, California, USA
Three ET datasets were generated to evaluate the potential integration of Landsat and Sentinel-2 data for improved ET mapping. The first ET dataset was generated by linear interpolation (Lint) of Landsat-based ET fraction (ETf) images of before and after the selected image dates. The second ET dataset was generated using the regular SSEBop approach using the Landsat image only (Lonly). The third ET dataset was generated from the proposed Landsat-Sentinel data fusion (L-S) approach by applying ETf images from Landsat and Sentinel. The scripts (two) used to generate these three ET datasets are included – one script for processing SSEBop model to generate ET maps from Lonly and another script for generating ET maps from Lint and L-S approach.
Author(s) |
Kul Bikram Khand |
Publication Date | 2020-04-16 |
Beginning Date of Data | 2016-05-16 |
Ending Date of Data | 2018-07-25 |
Data Contact | |
DOI | https://doi.org/10.5066/P99ZBZ1S |
Citation | Khand, K.B., 2020, Landsat and Sentinel-2 satellite data fusion-derived evapotranspiration maps of Palo Verde Irrigation District, California, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P99ZBZ1S. |
Metadata Contact | |
Metadata Date | 2020-08-18 |
Related Publication | There was no related primary publication associated with this data release. |
Citations of these data | Loading https://doi.org/10.1080/02626667.2020.1817461 |
Access | public |
License | http://www.usa.gov/publicdomain/label/1.0/ |
Harvest Date: 2024-07-24T04:01:55.917Z