RiverPIXELS: paired Landsat images and expert-labeled sediment and water pixels for a selection of rivers v1.0
RiverPIXELS contains GeoTIFFs of hand-labeled water and sediment pixels from Landsat images containing rivers. Each of the 104 labeled patches contains 256 x 256 Landsat pixels (30 meter resolution). Our aim in releasing RiverPIXELS is to provide an "off-the-shelf" training and testing dat...
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ESS-DIVE: Deep Insight for Earth Science Data
2022
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dataone:ess-dive-dfcf1a60bbe90ca-20230405T003808439013 2024-06-03T18:46:31+00:00 RiverPIXELS: paired Landsat images and expert-labeled sediment and water pixels for a selection of rivers v1.0 Jon Schwenk Joel Rowland Colville River, Alaska, USA. Arctic river. Landsat path 76, row 11. Indigirka River, Russia. Arctic river. Landsat path 115, row 11. Kolyma River, Russia. Arctic river. Landsat path 109, row 14. Ucayali River, Peru. Landsat path 6, row 66. Waitaki River, New Zealand. Landsat path 74, row 91. Yana River, Russia. Arctic river. Landsat path 122, row 12. ENVELOPE(-151.753,-150.975,70.245,69.761) BEGINDATE: 1991-08-13T00:00:00Z ENDDATE: 2019-03-02T00:00:00Z 2022-01-01T00:00:00Z https://search.dataone.org/view/ess-dive-dfcf1a60bbe90ca-20230405T003808439013 unknown ESS-DIVE: Deep Insight for Earth Science Data rivers training data landsat sediment floodplain water water occurrence Dataset 2022 dataone:urn:node:ESS_DIVE 2024-06-03T18:19:24Z RiverPIXELS contains GeoTIFFs of hand-labeled water and sediment pixels from Landsat images containing rivers. Each of the 104 labeled patches contains 256 x 256 Landsat pixels (30 meter resolution). Our aim in releasing RiverPIXELS is to provide an "off-the-shelf" training and testing dataset for building machine-learned models to automatically identify rivers from multispectral imagery. While a number of trained models and/or surface water products already exist, RiverPIXELS aims for pixel-level accuracy in order to precisely identify river boundaries in particular. Our selection of rivers is heavily Arctic, but we include tropical and temperate rivers as well. Patches are provided for the Colville (7), Indigirka (6), Kolyma (4), Ucayali (54), Waitaki (21), and Yana (12) Rivers. For each patch, all surface water pixels are labeled (1) and all in-channel sediment pixels are labeled (2). Sediments not in-channel are considered part of the land (0) class. RiverPIXELS also includes paired surface water data from the Global Surface Water dataset that may be useful as additional features in machine learning models. Each patch therefore contains four aligned GeoTIFFs: labeled, landsat, gswmo, and gswocc. Dataset Arctic kolyma river Alaska ESS-DIVE: Deep Insight for Earth Science Data (via DataONE) Arctic New Zealand Kolyma ENVELOPE(161.000,161.000,69.500,69.500) Indigirka ENVELOPE(149.609,149.609,70.929,70.929) Yana River ENVELOPE(134.625,134.625,67.662,67.662) ENVELOPE(-151.753,-150.975,70.245,69.761) |
institution |
Open Polar |
collection |
ESS-DIVE: Deep Insight for Earth Science Data (via DataONE) |
op_collection_id |
dataone:urn:node:ESS_DIVE |
language |
unknown |
topic |
rivers training data landsat sediment floodplain water water occurrence |
spellingShingle |
rivers training data landsat sediment floodplain water water occurrence Jon Schwenk Joel Rowland RiverPIXELS: paired Landsat images and expert-labeled sediment and water pixels for a selection of rivers v1.0 |
topic_facet |
rivers training data landsat sediment floodplain water water occurrence |
description |
RiverPIXELS contains GeoTIFFs of hand-labeled water and sediment pixels from Landsat images containing rivers. Each of the 104 labeled patches contains 256 x 256 Landsat pixels (30 meter resolution). Our aim in releasing RiverPIXELS is to provide an "off-the-shelf" training and testing dataset for building machine-learned models to automatically identify rivers from multispectral imagery. While a number of trained models and/or surface water products already exist, RiverPIXELS aims for pixel-level accuracy in order to precisely identify river boundaries in particular. Our selection of rivers is heavily Arctic, but we include tropical and temperate rivers as well. Patches are provided for the Colville (7), Indigirka (6), Kolyma (4), Ucayali (54), Waitaki (21), and Yana (12) Rivers. For each patch, all surface water pixels are labeled (1) and all in-channel sediment pixels are labeled (2). Sediments not in-channel are considered part of the land (0) class. RiverPIXELS also includes paired surface water data from the Global Surface Water dataset that may be useful as additional features in machine learning models. Each patch therefore contains four aligned GeoTIFFs: labeled, landsat, gswmo, and gswocc. |
format |
Dataset |
author |
Jon Schwenk Joel Rowland |
author_facet |
Jon Schwenk Joel Rowland |
author_sort |
Jon Schwenk |
title |
RiverPIXELS: paired Landsat images and expert-labeled sediment and water pixels for a selection of rivers v1.0 |
title_short |
RiverPIXELS: paired Landsat images and expert-labeled sediment and water pixels for a selection of rivers v1.0 |
title_full |
RiverPIXELS: paired Landsat images and expert-labeled sediment and water pixels for a selection of rivers v1.0 |
title_fullStr |
RiverPIXELS: paired Landsat images and expert-labeled sediment and water pixels for a selection of rivers v1.0 |
title_full_unstemmed |
RiverPIXELS: paired Landsat images and expert-labeled sediment and water pixels for a selection of rivers v1.0 |
title_sort |
riverpixels: paired landsat images and expert-labeled sediment and water pixels for a selection of rivers v1.0 |
publisher |
ESS-DIVE: Deep Insight for Earth Science Data |
publishDate |
2022 |
url |
https://search.dataone.org/view/ess-dive-dfcf1a60bbe90ca-20230405T003808439013 |
op_coverage |
Colville River, Alaska, USA. Arctic river. Landsat path 76, row 11. Indigirka River, Russia. Arctic river. Landsat path 115, row 11. Kolyma River, Russia. Arctic river. Landsat path 109, row 14. Ucayali River, Peru. Landsat path 6, row 66. Waitaki River, New Zealand. Landsat path 74, row 91. Yana River, Russia. Arctic river. Landsat path 122, row 12. ENVELOPE(-151.753,-150.975,70.245,69.761) BEGINDATE: 1991-08-13T00:00:00Z ENDDATE: 2019-03-02T00:00:00Z |
long_lat |
ENVELOPE(161.000,161.000,69.500,69.500) ENVELOPE(149.609,149.609,70.929,70.929) ENVELOPE(134.625,134.625,67.662,67.662) ENVELOPE(-151.753,-150.975,70.245,69.761) |
geographic |
Arctic New Zealand Kolyma Indigirka Yana River |
geographic_facet |
Arctic New Zealand Kolyma Indigirka Yana River |
genre |
Arctic kolyma river Alaska |
genre_facet |
Arctic kolyma river Alaska |
_version_ |
1800867227058044928 |