Technical Methodology for ASTER Global Water Body Data Base

A waterbody detection technique is an essential part of a digital elevation model (DEM) generation to delineate land–water boundaries and set flattened elevations. This paper describes the technical methodology for improving the initial tile-based waterbody data that are created during production of...

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Published in:Remote Sensing
Main Authors: Hiroyuki Fujisada, Minoru Urai, Akira Iwasaki
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/rs10121860
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spelling ftmdpi:oai:mdpi.com:/2072-4292/10/12/1860/ 2023-08-20T04:09:44+02:00 Technical Methodology for ASTER Global Water Body Data Base Hiroyuki Fujisada Minoru Urai Akira Iwasaki 2018-11-22 application/pdf https://doi.org/10.3390/rs10121860 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs10121860 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 12; Pages: 1860 ASTER instrument stereo digital elevation model global database optical sensor water body detection Text 2018 ftmdpi https://doi.org/10.3390/rs10121860 2023-07-31T21:51:28Z A waterbody detection technique is an essential part of a digital elevation model (DEM) generation to delineate land–water boundaries and set flattened elevations. This paper describes the technical methodology for improving the initial tile-based waterbody data that are created during production of the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) GDEM, because without improvement such tile-based waterbodies data are not suitable for incorporating into the new ASTER GDEM Version 3. Waterbodies are classified into three categories: sea, lake, and river. For sea-waterbodies, the effect of sea ice is removed to better delineate sea shorelines in high latitude areas: sea ice prevents accurate delineation of sea shorelines. For lake-waterbodies, the major part of the processing is to set the unique elevation value for each lake using a mosaic image that covers the entire lake area. Rivers present a unique challenge, because their elevations gradually step down from upstream to downstream. Initially, visual inspection is required to separate rivers from lakes. A stepwise elevation assignment, with a step of one meter, is carried out by manual or automated methods, depending on the situation. The ASTER global water database (GWBD) product consists of a global set of 1° latitude-by-1° longitude tiles containing water body attribute and elevation data files in geographic latitude and longitude coordinates and with one arc second posting. Each tile contains 3601-by-3601 data points. All improved waterbody elevation data are incorporated into the ASTER GDEM to reflect the improved results. Text Sea ice MDPI Open Access Publishing Remote Sensing 10 12 1860
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic ASTER instrument
stereo
digital elevation model
global database
optical sensor
water body detection
spellingShingle ASTER instrument
stereo
digital elevation model
global database
optical sensor
water body detection
Hiroyuki Fujisada
Minoru Urai
Akira Iwasaki
Technical Methodology for ASTER Global Water Body Data Base
topic_facet ASTER instrument
stereo
digital elevation model
global database
optical sensor
water body detection
description A waterbody detection technique is an essential part of a digital elevation model (DEM) generation to delineate land–water boundaries and set flattened elevations. This paper describes the technical methodology for improving the initial tile-based waterbody data that are created during production of the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) GDEM, because without improvement such tile-based waterbodies data are not suitable for incorporating into the new ASTER GDEM Version 3. Waterbodies are classified into three categories: sea, lake, and river. For sea-waterbodies, the effect of sea ice is removed to better delineate sea shorelines in high latitude areas: sea ice prevents accurate delineation of sea shorelines. For lake-waterbodies, the major part of the processing is to set the unique elevation value for each lake using a mosaic image that covers the entire lake area. Rivers present a unique challenge, because their elevations gradually step down from upstream to downstream. Initially, visual inspection is required to separate rivers from lakes. A stepwise elevation assignment, with a step of one meter, is carried out by manual or automated methods, depending on the situation. The ASTER global water database (GWBD) product consists of a global set of 1° latitude-by-1° longitude tiles containing water body attribute and elevation data files in geographic latitude and longitude coordinates and with one arc second posting. Each tile contains 3601-by-3601 data points. All improved waterbody elevation data are incorporated into the ASTER GDEM to reflect the improved results.
format Text
author Hiroyuki Fujisada
Minoru Urai
Akira Iwasaki
author_facet Hiroyuki Fujisada
Minoru Urai
Akira Iwasaki
author_sort Hiroyuki Fujisada
title Technical Methodology for ASTER Global Water Body Data Base
title_short Technical Methodology for ASTER Global Water Body Data Base
title_full Technical Methodology for ASTER Global Water Body Data Base
title_fullStr Technical Methodology for ASTER Global Water Body Data Base
title_full_unstemmed Technical Methodology for ASTER Global Water Body Data Base
title_sort technical methodology for aster global water body data base
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/rs10121860
genre Sea ice
genre_facet Sea ice
op_source Remote Sensing; Volume 10; Issue 12; Pages: 1860
op_relation Remote Sensing in Geology, Geomorphology and Hydrology
https://dx.doi.org/10.3390/rs10121860
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs10121860
container_title Remote Sensing
container_volume 10
container_issue 12
container_start_page 1860
_version_ 1774723385167708160