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Evan Dethier

Dartmouth College

 Recent Activity

ABSTRACT:

These data were compiled to evaluate changes due to mining in the Madre de Dios Region in Peru. Landsat data are from Landsat missions 5 and 7. The Landsat LT1 Spectral Reflectance product data in this compilation were retrieved automatically using Google Earth Engine.

DATA SOURCES:

IMAGERY
USGS Landsat LT1 Surface Reflectance, retrieved via Google Earth Engine

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ABSTRACT:

These data were compiled to calibrate suspended sediment concentration (SSC) remote sensing algorithms. They were collected originally by several agencies at each of 430 suspended sediment sampling locations operated in the United States (USGS) [USGS, 2018], Canada (HYDAT) [HYDAT, 2018], South America (ANA) [ANA, 2018], and Taiwan (WRA) [WRA, 2018] between 1984–present. Landsat data are from Landsat missions 5 and 7. The Landsat LT1 Spectral Reflectance product data in this compilation were retrieved automatically using Google Earth Engine.

DATA SOURCES:

SSC
ANA (2018), Agência Nacional de Águas, edited, doi:July, 2017.
HYDAT (2018), The Water Survey of Canada, edited, doi:August, 2018.
USGS (2018), U.S. Geological Survey, edited, doi:August, 2018.
WRA (2018), Taiwan Water Resource Agency, edited, doi:August, 2018.

IMAGERY
USGS Landsat LT1 Surface Reflectance, retrieved via Google Earth Engine

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Resources
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Multidimensional (NetCDF) 0
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Composite Resource Composite Resource
Suspended sediment concentration database
Created: Aug. 6, 2019, 1:04 a.m.
Authors: Dethier, Evan

ABSTRACT:

These data were compiled to calibrate suspended sediment concentration (SSC) remote sensing algorithms. They were collected originally by several agencies at each of 430 suspended sediment sampling locations operated in the United States (USGS) [USGS, 2018], Canada (HYDAT) [HYDAT, 2018], South America (ANA) [ANA, 2018], and Taiwan (WRA) [WRA, 2018] between 1984–present. Landsat data are from Landsat missions 5 and 7. The Landsat LT1 Spectral Reflectance product data in this compilation were retrieved automatically using Google Earth Engine.

DATA SOURCES:

SSC
ANA (2018), Agência Nacional de Águas, edited, doi:July, 2017.
HYDAT (2018), The Water Survey of Canada, edited, doi:August, 2018.
USGS (2018), U.S. Geological Survey, edited, doi:August, 2018.
WRA (2018), Taiwan Water Resource Agency, edited, doi:August, 2018.

IMAGERY
USGS Landsat LT1 Surface Reflectance, retrieved via Google Earth Engine

Show More
Composite Resource Composite Resource
Madre de Dios Landsat-derived SSC estimates
Created: Oct. 4, 2019, 2:15 p.m.
Authors: Dethier, Evan

ABSTRACT:

These data were compiled to evaluate changes due to mining in the Madre de Dios Region in Peru. Landsat data are from Landsat missions 5 and 7. The Landsat LT1 Spectral Reflectance product data in this compilation were retrieved automatically using Google Earth Engine.

DATA SOURCES:

IMAGERY
USGS Landsat LT1 Surface Reflectance, retrieved via Google Earth Engine

Show More