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_GI20210525114921-DIAS20210525095249-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 Japan Agency for Marine-Earth Science and Technology
Address 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, 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

2021-05-25

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

Data Processing (1)

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

DATA POLICY

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

If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/policy/) and DIAS Privacy Policy (https://diasjp.net/en/privacypolicy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Project

Data Integration and Analysis System

If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.

" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "

REFERENCES

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

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


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