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...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2018
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs10121860 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/10/12/1860/ |
---|---|
record_format |
openpolar |
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 |