five

Supporting Datasets produced in Allen et al. (2020) Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://zenodo.org/record/3817346
下载链接
链接失效反馈
官方服务:
资源简介:
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
创建时间:
2020-05-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作