Supporting Datasets produced in Allen et al. (2020) Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers
Authors/Creators
- 1. Texas A&M
- 2. UNC Chapel Hill
- 3. Caltech Jet Propulsion Laboratory
- 4. Colorado State University
Description
Supporting Datasets produced in Allen et al. (2020) Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers
Published in Remote Sensing (DOI coming soon)
Description:
These CSV tables contain daily discharge data of large rivers measured by USGS gauges. We used overpass timing and cloud cover information for Landsat 5, 7, and 8 over a 35-year study period. Code that was used to produce, process and analyze these data can be found in the following code repository: https://github.com/geoallen/ROTFL
About the data:
Each column contains data from an individual gauge. The column name is the USGS gauge number. If the gauge number (column name) is 7 digits, it is understood that the number begins with a zero (all gauge numbers are 8 digits; this is only important if you are re-downloading data).
All tables are equal dimensions. The position of a discharge measurement in the DischargeValues table can be used to look up it’s date recorded/qualification code in the Dates and Codes tables as every row-col combination refers to the same measurement.
Measurements span data range: 1984-01-01 to 2019-08-13
DischargeValues = Discharge recorded in cubic feet per second
DischargeDates = Unix date that discharge measurement was recorded on.
DischargeCodes = Daily Value Qualification Code