10.5281/zenodo.1194516
https://zenodo.org/records/1194516
oai:zenodo.org:1194516
Zhenhua Zou
Zhenhua Zou
0000-0002-1682-0893
University of Oklahoma
Xiangming Xiao
Xiangming Xiao
University of Oklahoma
Jinwei Dong
Jinwei Dong
Institute of Geographic Sciences and Natural Resources Research, CAS
Yuanwei Qin
Yuanwei Qin
University of Oklahoma
Russell B. Doughty
Russell B. Doughty
University of Oklahoma
Michael A. Menarguez
Michael A. Menarguez
LinkedIn Corp.
Geli Zhang
Geli Zhang
University of Oklahoma
Jie Wang
Jie Wang
University of Oklahoma
Annual and 33-year water body frequency maps of the contiguous US from 1984 to 2016
Zenodo
2018
surface water, water frequency, map, US
2018-03-08
eng
Figure
10.1073/pnas.1719275115
10.5281/zenodo.1194515
1
Creative Commons Attribution 4.0 International
There are 50 5-by-5 degree tiles covering the entire CONUS. In each zipped tile folder, there are 33 annual water body frequency images (e.g. freq_2016_-070_040.tif), one 33-year water body frequency image (e.g. 33YearFreq_1984_2016_-070_040.tif), and one 33-year good observation image (e.g. 33YearGoodObs_1984_2016_-070_040.tif).
The annual and 33-year water body frequency are defined as the ratio of water observations to total good observations in a year and in 1984-2016, respectively. The frequency stored in these image is compressed in 8 bits (1-255). To get the frequency in floating point (0-1.0), use the equation: f = (F-1)/254.0, where F is in 8 bits while f is in floating point.
For each Landsat image, the CFmask band was used as a quality control band to remove the cloud, cloud shadow, and snow pixels. The solar azimuth and zenith angles of each image were used along with the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) to simulate terrain shadows and remove them. The remaining pixels were considered as good observations that can be used for water body detection. The total good observation number during 1984-2016 is stored in the 33-year good observation images.
Projection is WGS84, while spatial resolution is 0.000269494585236.
For additional details, please go to our lab server (http://mangrove.rccc.ou.edu/eomfftp/conus_water_dataset/).
To use this data, please cite our articles:
Zou, Z., Xiao, X., Dong, J., Qin, Y., Doughty, R.B., Menarguez, M.A., Zhang, G., Wang, J. Divergent Trends of Open Surface Water Body Area in the Contiguous United States from 1984 to 2016, PNAS, doi: 10.1073/pnas.1719275115
Zou, Z., J. Dong, M. A. Menarguez, X. Xiao, Y. Qin, R. B. Doughty, K. V. Hooker, and K. David Hambright (2017), Continued decrease of open surface water body area in Oklahoma during 1984-2015, Sci Total Environ, 595, 451-460, doi: 10.1016/j.scitotenv.2017.03.259.
For additional details, please go to our lab server (http://mangrove.rccc.ou.edu/eomfftp/conus_water_dataset/).
To use this data, please cite our articles:
Zou, Z., Xiao, X., Dong, J., Qin, Y., Doughty, R.B., Menarguez, M.A., Zhang, G., Wang, J. Divergent Trends of Open Surface Water Body Area in the Contiguous United States from 1984 to 2016, PNAS, doi: 10.1073/pnas.1719275115
Zou, Z., J. Dong, M. A. Menarguez, X. Xiao, Y. Qin, R. B. Doughty, K. V. Hooker, and K. David Hambright (2017), Continued decrease of open surface water body area in Oklahoma during 1984-2015, Sci Total Environ, 595, 451-460, doi: 10.1016/j.scitotenv.2017.03.259.