Identification

Title

USGS 30 ARC-second Global Elevation Data, GTOPO30

Alternative title(s)

d758000

Abstract

GTOPO30 is a global raster digital elevation model (DEM) providing terrain elevation data with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer). GTOPO30 was derived from several raster and vector sources of topographic information. For easier distribution, GTOPO30 has been divided into tiles [http://rda.ucar.edu/datasets/ds758.0/docs/tiles.gif]. Detailed information on the characteristics of GTOPO30 including the data distribution format, the data sources, production methods, accuracy, and hints for users, is found in the GTOPO30 README [http://rda.ucar.edu/datasets/ds758.0/docs/readme.txt] file. GTOPO30, completed in late 1996, was developed over a three year period through a collaborative effort led by staff at the U.S. Geological Survey's Center for Earth Resources Observation and Science (EROS). The following organizations participated by contributing funding or source data: the National Aeronautics and Space Administration (NASA), the United Nations Environment Program and Global Resource Information Database (UNEP and GRID), the U.S. Agency for International Development (USAID), the Instituto Nacional de Estadistica Geografica e Informatica (INEGI) of Mexico, the Geographical Survey Institute (GSI) of Japan, Manaaki Whenua Landcare Research of New Zealand, and the Scientific Committee on Antarctic Research (SCAR).

Resource type

dataset

Resource locator

https://rda.ucar.edu/datasets/d758000/

protocol: https

applicationProfile: browser

name: Dataset Description

description: Related Link

function: information

https://rda.ucar.edu/datasets/d758000/dataaccess/

protocol: https

applicationProfile: browser

name: Data Access

description: Related Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

elevation

Keywords

Keyword set

keyword value

dataset

originating controlled vocabulary

title

Resource Type

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

GRIDDING METHODS

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2024-07-23

Keyword set

keyword value

EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION

originating controlled vocabulary

title

U.S. National Aeronautics and Space Administration Global Change Master Directory

reference date

date type

revision

effective date

2024-07-24

Geographic location

West bounding longitude

-180

East bounding longitude

180

North bounding latitude

90

South bounding latitude

-90

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

1997-07-24

Frequency of update

notPlanned

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

UCAR/NCAR - Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

telephone number

(303)-497-1216

facsimile number

303-497-1291

email address

schuster@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

NCAR Research Data Archive

full postal address

National Center for Atmospheric Research

CISL/DECS

P.O. Box 3000

Boulder

80307

U.S.A.

facsimile number

303-497-1291

email address

rdahelp@ucar.edu

web address

https://rda.ucar.edu/

name: NCAR Research Data Archive

description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.

function: downlaod

responsible party role

pointOfContact

Metadata date

2024-08-04T02:11:42Z

Metadata language

eng; USA