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USGS FCT Nepal

Entry ID: USGS_FCT_Nepal

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Summary

Abstract: The Forest Carbon Tracking Task (GEO FCT) has been established to support countries wanting to establish national forest-change, carbon estimation and reporting systems. It will facilitate access to long-term satellite, airborne and in situ data, provide the associated analysis and prediction tools, and create the appropriate framework and technical standards for a global network of national forest carbon tracking systems. The task follows the guidelines set out by the United Nations Framework Convention on Climate Change (UNFCCC). Its outputs will be available to support interested countries in their efforts to implement the Convention. The task is being carried out by a partnership of GEO member governments, key UN bodies, space agencies, the science community and the private sector.

Purpose: The GEO Forest Carbon Tracking Task seeks to:

1) Define a set of standards, methods and requirements that future spatially explicit National Forest Monitoring and Carbon Accounting Systems could adopt, to provide the most accurate results relying on the full potential of existing observational and processing capabilities.
2) Coordinate the use of data from current and planned Earth ...

Related URL

Link: VIEW PROJECT HOME PAGE

Description: Group on Earth Observations (GEO) Forest Carbon Tracking (FCT) home page.

Geographic Coverage

(Click for Interactive Map)

Spatial coordinates

N: 31.3

S: 24.98

E: 89.95

W: 78.11

Data Set Citation

Dataset Originator/Creator: U.S. Geological Survey

Dataset Title: Forest Carbon Tracking - Borneo Island

Dataset Release Date: 2010

Dataset Publisher: U.S. Geological Survey

Online Resource: http://lsiexplorer.cr.usgs.gov

Temporal Coverage

Start Date: 1975-02-25

Location Keywords

CONTINENT > ASIA > SOUTHCENTRAL ASIA > NEPAL

Data Resolution

Latitude Resolution: 30m
Longitude Resolution: 30m

Science Keywords

AGRICULTURE > FOREST SCIENCE > FOREST MANAGEMENT

AGRICULTURE > FOREST SCIENCE > FOREST PROTECTION

ISO Topic Category

GEOSCIENTIFIC INFORMATION

IMAGERY/BASE MAPS/EARTH COVER

Platform

TERRA > Earth Observing System, TERRA (AM-1)

Instrument

MODIS > Moderate-Resolution Imaging Spectroradiometer

SPECTRORADIOMETERS

Project

EOS > Earth Observing System

EOSDIS > Earth Observing System Data Information System

ESIP > Earth Science Information Partners Program

Quality Quality indicators for MODIS snow data are represented by AutomaticQualityFlag and ScienceQualityFlag metadata objects and their corresponding explanations, AutomaticQualityFlagExplanation and ScienceQualityFlagExplanation, in the CoreMetadata.0 global attribute, in custom local attributes associated with the snow cover Science Data Set (SDS), and also in the Snow Cover PixelQA data field. These ... are generated during production or in post-product scientific and quality checks of the data product. The AutomaticQualityFlag is automatically set according to conditions for meeting data criteria in the snow mapping algorithm. In most cases, the flag is set to either Passed or Suspect, and in rare instances, it may be set to Failed. Suspect means that a significant percentage of the data were anomalous and that further analysis should be done to determine the source of anomalies. The AutomaticQualityFlagExplanation contains a brief message explaining the reason for the setting of the AutomaticQualityFlag. The ScienceQualityFlag and the ScienceQualityFlagExplanation maybe updated after production, either after an automated QA program is run or after the data product is inspected by a qualified snow scientist. Content and explanation of this flag are dynamic so it should always be examined if present in the external metadata file. The snow algorithm identifies missing data and reports them in the output product. Certain expected anomalous conditions may exist with the input data such as a few missing lines or unusable data from the MODIS sensor. In these cases, the snow algorithm makes no snow decision for an affected pixel. Summary statistics are calculated for these conditions and reported as Valid EV Obs Band x percent and Saturated EV Obs Band 1 percent local attributes Riggs, Hall, and Salomonson 2003). In addition to these data values, the product contains quality information at the pixel level. The Snow Cover PixelQA data field provides additional information on algorithm results for each pixel within a MODIS scene and is used as a measure of usefulness for snow-cover data. The QA information tells if algorithm results were nominal, abnormal, or if other defined conditions were encountered for a pixel (Riggs, Hall, and Salomonson 2003). For example, intermediate checks for theoretical bounding of reflectance data and the NDSI ratio are made in the algorithm. In theory, reflectance values should lie within the 0-100 percent range, and the NDSI ratio should lie within the -1.0 to +1.0 range. Summary statistics are kept for pixels that exceed these theoretical limits; however, the test for snow is done regardless of violations of these limits. The NASA Goddard Space Flight Center: MODIS Land Quality Assessment Web site provides updated quality information for each product.

Ancillary Keywords

Antarctic

Arctic

Data Set Progress

COMPLETE

Data Center

NSIDC Distributed Active Archive Center

Data Center URL: http://nsidc.org/daac/index.html
Dataset ID: MOD10_L2V3, MOD10_L2V5

Data Center Personnel
Name: NSIDC USER SERVICES Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc at nsidc.org Contact Address: National Snow and Ice Data Center CIRES, 449 UCB University of Colorado City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA

National Snow and Ice Data Center

Data Center URL: http://nsidc.org
Dataset ID: MOD10_L2V3, MOD10_L2V5

Data Center Personnel
Name: NSIDC USER SERVICES Phone: +1 (303) 492-6199 Fax: +1 (303) 492-2468 Email: nsidc at nsidc.org Contact Address: National Snow and Ice Data Center CIRES, 449 UCB University of Colorado City: Boulder Province or State: CO Postal Code: 80309-0449 Country: USA

Distribution

Distribution Media: upon request

Distribution Size: 32.4

Distribution Format: GeoTIFF

Distribution Media: upon request

Distribution Size: 32.4

Distribution Format: HDF-EOS

Personnel

DOROTHY K. HALL

Role: INVESTIGATOR

Contact Address:

National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC)

Mail stop 614.1

City: Greenbelt

Province or State: MD

Postal Code: 20771

Publications/References

Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) systems and operations concept. Greenbelt, MD: Goddard Space Flight Center.

Hall, D.K., A.B. Tait, G.A. Riggs, and V.V. Salomonson. 1998. Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow, Lake Ice, and Sea Ice Mapping Algorithms (Version 4.0).

Hall, D.K., G.A. Riggs, and V.V. Salomonson. 1995. ...

Creation and Review Dates

DIF Creation Date: 2000-09-01

Last DIF Revision Date: 2012-05-04

Future DIF Review Date: 2008-09-01

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