AGURAM Ground Information Database


The citation for this dataset is:
Hiroyuki Miyazaki. (2014). AGURAM Ground Information Database [Data set]. Data Integration and Analysis System (DIAS). https://doi.org/10.20783/DIAS.207
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IDENTIFICATION INFORMATION

Name AGURAM Ground Information Database
Edition 1
Abbreviation AGURAM
DOI doi:10.20783/DIAS.207
Metadata Identifier AGURAM_GI20200401053421-DIAS20180903143952-en

CONTACT

CONTACT on DATASET

Name Hiroyuki Miyazaki
Organization Earth Observation Data Integration & Fusion Research Initiative (EDITORIA), University of Tokyo
Address Cw-503 Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan
TEL +81-3-5452-6412
FAX +81-3-5452-6414
E-mail heromiya@csis.u-tokyo.ac.jp

CONTACT on PROJECT

Data Integration and Analysis System

Name DIAS Office
Organization Remote Sensing Technology Center of Japan
Address TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, Japan
E-mail dias-office@diasjp.net

DOCUMENT AUTHOR

Name Hiroyuki Miyazaki
Organization Earth Observation Data Integration & Fusion Research Initiative (EDITORIA), University of Tokyo
E-mail heromiya@csis.u-tokyo.ac.jp

DATASET CREATOR

Name Hiroyuki Miyazaki
Organization Earth Observation Data Integration & Fusion Research Initiative (EDITORIA), University of Tokyo
E-mail heromiya@csis.u-tokyo.ac.jp

DATE OF THIS DOCUMENT

2020-04-01

DATE OF DATASET

  • creation : 2014-01-02

DATASET OVERVIEW

Abstract

This dataset includes ground information derived by visual interpretation of satellite imageries taken by Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). The dataset consists of geometries of boundaries between urban and non-urban. Although the ground information dataset is originally developed for the ASTER Global URban Area Map (AGURAM; see details at https://eco.geogrid.org/), it will be a source of training and validation for satellite remote sensing applications, such as land cover classification and urban area mapping.

Topic Category(ISO19139)

  • structure

Temporal Extent

Begin Date 2000-04-07
End Date 2008-03-31

Geographic Bounding Box

North bound latitude -27.371628
West bound longitude -158.027344
Eastbound longitude 158.642439
South bound latitude 60.392148

Grid

Dimension Name Dimension Size (slice number of the dimension) Resolution Unit
row (deg)
column (deg)

Geographic Description

EPSG:4326

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Urbanization, Land Cover GEO_COP

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

Online Resource

DATA PROCESSING

General Explanation of the data producer's knowledge about the lineage of a dataset

1. Visual interpretation was performed with false color composite images of ASTER satellite imageries prepared for

development of the AGURAM dataset. Map scale of the visual interpretation was set to 1:10,000 or finer. For details

of the platform for visual interpretation, take a look at the reference below.

Kimijima et al., 2013, Crowdsourcing for urban area mapping.

http://www.geospatialworld.net/Paper/Application/ArticleView.aspx?aid=30462

2. Geometry data of the visual interpretation was converted to raster data by v.to.rast of GRASS GIS with a

resolution of 15 m to remove inconsistencies among and within geometries, such as geometry type (i.e. line and

polygon) and torsion.

http://grass.osgeo.org/grass65/manuals/v.to.rast.html

3. The raster data was converted to vector data by r.to.vect of GRASS GIS with smoothing option.

http://grass.osgeo.org/grass64/manuals/r.to.vect.html

LICENSE

Data Policy by the Data Provider

This work is licensed under a Creative Commons Attribution 4.0 International License (CC-BY).

http://creativecommons.org/licenses/by/4.0/

Data Policy by the Project

Data Integration and Analysis System

The terms of data use of data providers take first priority over the DIAS data usage policy. In the event a data provider has not established terms of use, the following DIAS project data terms of use apply.

1. Users shall prioritize and abide by terms of use stipulated by a data provider in the event such exist

2. The use of DIAS data sets is limited to research and educational purposes [*1]

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5. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall cite in parenthesis the text given as the data citation

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[*1] Data sets whose commercial usage are allowed under the data policy by data provider will be also allowed to be used commercially as DIAS data sets, after ongoing preparation works have been completed. Please contact the DIAS Office for more details.

[DIAS Office]

E-mail: dias-office@diasjp.net

Remote Sensing Technology Center of Japan

TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Project

Data Integration and Analysis System

Whenever DIAS dataset is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements.

"The DIAS dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

DISCLAIMER

Disclaimer of Project

Data Integration and Analysis System

1. DIAS data provider is not liable for any losses or any damage when DIAS data sets are used.

2. DIAS data and related information are subject to change without any prior notice.

3. DIAS data sets provided are not supported for any additional processing or analysis.

REFERENCES

Kimijima et al., 2013, Crowdsourcing for urban area mapping.

http://www.geospatialworld.net/Paper/Application/ArticleView.aspx?aid=30462


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