LBA-ECO CD-34 Landsat Fractional Land Cover Analysis, Manaus, Brazil: 2004-2005

Metadata Updated: April 30, 2019

This data set provides the results of fractional land cover analysis for nonphotosynthetic vegetation (NPV) from two Landsat images of Manaus, Brazil, for October 14, 2004, and for July 29, 2005. Both images are from Landsat 5, path 231, row 62. The Manauas area experienced a squall line with intense downbursts from January 16-18, 2005, that resulted in widespread blowdown and tree mortality. The pre- and post-disturbance Landsat images were obtained and processed using spectral mixture analysis (SMA) in order to investigate forest disturbance and tree mortatility resulting from the downburst. SMA was based on scene-derived end-members of green vegetation (GV, photosynthetically active vegetation), NPV ( wood, dead vegetation, and surface litter), soil, and shade obtained using a pixel purity index (PPI) algorithm (Negron-Juarez et al., 2010). Changes in NPV due to disturbance were calculated by subtracting the 2004 NPV image from the 2005 NPV image. This NPV difference image is provided. There are three image files (.tif) with this data set: The two Landsat images that were georectified and converted to reflectance values and the NPV difference image. DATA QUALITY STATEMENT: The Data Center has determined that there are questions about the quality of the data reported in this data set. The data set has missing or incomplete data, metadata, or other documentation that diminishes the usability of the products.KNOWN PROBLEMS: Four additional images were needed to make this data set complete but are unavailable. Specifically, the two images resulting from SMA as applied to the Landsat images collected on the 14th of October, 2004 and the 29th of July, 2005 to determine per-pixel fractional abundance of GV, NPV (wood, dead vegetation, and surface litter), soil, and shade and the 2004 NPV and 2005 NPV images that were used to derive the NPV changes image (which we do provide) (Negron-Juarez, et al., 2010).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date August 1, 2018
Metadata Updated Date April 30, 2019

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Browse Image

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date April 30, 2019
Publisher ORNL_DAAC
Unique Identifier C179125225-ORNL_DAAC
Maintainer
undefined
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation Archived by National Aeronautics and Space Administration, U.S. Government, ORNL_DAAC. https://doi.org/10.3334/ORNLDAAC/1176. Negron-Juarez, R.I., J.Q. Chambers, G. Guimaraes, H.C. Zeng, C.F.M. Raupp, D.M. Marra, G.H.P.M. Ribeiro, S.S. Saatchi, B.W. Nelson, and N. Higuchi. 2013. LBA-ECO CD-34 Landsat Fractional Land Cover Analysis, Manaus, Brazil: 2004-2005. ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/1176.
Graphic Preview Description Browse Image
Graphic Preview File https://daac.ornl.gov/graphics/browse/project/square/lba_logo_square.png
Harvest Object Id e8207d0b-8275-4298-9487-d68d89ed6ed2
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2013-08-01
Homepage URL https://doi.org/10.3334/ORNLDAAC/1176
Language en-US
Metadata Type geospatial
Data Last Modified 2019-04-15
Program Code 026:001
Source Datajson Identifier True
Source Hash a68ca26ed7a4d3f1396e564b82c4d49b0379c71a
Source Schema Version 1.1
Spatial -2.63 -60.17
Temporal 2004-10-14T00:00:00Z/2005-07-29T23:59:59Z
Category LBA-ECO, geospatial

Didn't find what you're looking for? Suggest a dataset here.