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Title: Arctic delta Landsat image classifications

Abstract

This dataset contains binary geotiff masks/classifications of six Arctic deltas for channels, lakes, land, and other small water bodies (see methods). Tiff files can be opened with any image viewer, but use of georeferencing data attached to the imagery will require a GIS platform (e.g., QGIS). Dataset includes individually classified scene masks for Colville (2014), Kolyma (2014), Lena (2016), Mackenzie (2014), Yenisei (2013), and Yukon (2014). We also provide .mat files for each delta that include a 2D array of the mosaicked images that is cropped to include only the area used in our analyses (see Piliouras and Rowland, 2020, Journal of Geophysical Research - Earth Surface), as well as the X (easting) and Y (northing) arrays for georeferencing, with coordinates in UTMs.

Authors:
ORCiD logo ; ORCiD logo
  1. Los Alamos National Laboratory; Los Alamos National Laboratory
  2. Los Alamos National Laboratory
Publication Date:
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; HiLAT-RASM project
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES; EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL LANDFORMS > DELTAS; EARTH SCIENCE > OCEANS > COASTAL PROCESSES; EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES; EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL LANDFORMS > DELTAS; EARTH SCIENCE > SOLID EARTH > GEOMORPHIC LANDFORMS/PROCESSES > FLUVIAL LANDFORMS > ISLAND; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER FEATURES; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER FEATURES > LAKES/RESERVOIRS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER FEATURES > WATER CHANNELS; EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > VISUALIZATION/IMAGE PROCESSING; land_binary_mask
OSTI Identifier:
1505624
DOI:
https://doi.org/10.15485/1505624

Citation Formats

Piliouras, Anastasia, and Rowland, Joel. Arctic delta Landsat image classifications. United States: N. p., 2018. Web. doi:10.15485/1505624.
Piliouras, Anastasia, & Rowland, Joel. Arctic delta Landsat image classifications. United States. doi:https://doi.org/10.15485/1505624
Piliouras, Anastasia, and Rowland, Joel. 2018. "Arctic delta Landsat image classifications". United States. doi:https://doi.org/10.15485/1505624. https://www.osti.gov/servlets/purl/1505624. Pub date:Mon Dec 31 23:00:00 EST 2018
@article{osti_1505624,
title = {Arctic delta Landsat image classifications},
author = {Piliouras, Anastasia and Rowland, Joel},
abstractNote = {This dataset contains binary geotiff masks/classifications of six Arctic deltas for channels, lakes, land, and other small water bodies (see methods). Tiff files can be opened with any image viewer, but use of georeferencing data attached to the imagery will require a GIS platform (e.g., QGIS). Dataset includes individually classified scene masks for Colville (2014), Kolyma (2014), Lena (2016), Mackenzie (2014), Yenisei (2013), and Yukon (2014). We also provide .mat files for each delta that include a 2D array of the mosaicked images that is cropped to include only the area used in our analyses (see Piliouras and Rowland, 2020, Journal of Geophysical Research - Earth Surface), as well as the X (easting) and Y (northing) arrays for georeferencing, with coordinates in UTMs.},
doi = {10.15485/1505624},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Dec 31 23:00:00 EST 2018},
month = {Mon Dec 31 23:00:00 EST 2018}
}