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Phenoregions For Monitoring Vegetation Responses to Climate Change

Metadata Updated: December 6, 2023

The overall purpose in this research was to identify the regions of the world best suited for long-term monitoring of biospheric responses to climate change, i.e., monitoring land surface phenology. The user is referred to White et al. [2005] for further details. Using global 8 km 1982 to 1999 Normalized Difference Vegetation Index (NDVI) data and an eight-element monthly climatology, we identified pixels consistently dominated by annual cycles and then created phenologically and climatically self-similar clusters, which we term phenoregions. We then ranked and screened each phenoregion as a function of landcover homogeneity and consistency, evidence of human impacts, and political diversity.This dataset contains material providing users with direct access to data used to construct the figures in White et al. [2005]. Users are referred to this reference for additional information. Data files include ASCII and binary versions of the image files for the 500 elemental phenoregions and the 136 final monitoring phenoregions (shown in figure below) and a corresponding .jpg map. Also included are the classification data in tabular ACSII format for each of the 500 elemental phenoregions.Selected monitoring phenoregions. Phenoregions with fewer than 100 pixels or dominated by crop, urban or barren landcover removed. The 136 remaining phenoregions are those passing the screening factors in Table 1 and are shown with normalized rankings by landcover. (From White et al., 2005)

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.

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Dates

Metadata Created Date October 25, 2023
Metadata Updated Date December 6, 2023

Metadata Source

Harvested from NASA Data.json

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Additional Metadata

Resource Type Dataset
Metadata Created Date October 25, 2023
Metadata Updated Date December 6, 2023
Publisher ORNL_DAAC
Maintainer
Identifier C2784383305-ORNL_CLOUD
Data First Published 2023-10-15
Language en-US
Data Last Modified 2023-10-16
Category Vegetation, geospatial
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 White, M.A., F.M. Hoffman, W.W. Hargrove, and R.R. Nemani. 2005. Phenoregions For Monitoring Vegetation Responses to Climate Change. ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/799
Graphic Preview Description Browse Image
Graphic Preview File https://daac.ornl.gov/graphics/browse/sdat-tds/799_1_fit.png
Harvest Object Id cfc0f0cc-732e-43c6-a904-17fe2b5c2a73
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.3334/ORNLDAAC/799
Metadata Type geospatial
Old Spatial -180.0 -90.0 180.0 90.0
Program Code 026:001
Source Datajson Identifier True
Source Hash 6dcff9ec72d73dd959ce44fbcb8cd99bb8b5f4cb5d12fe7511c34489be6f0cfc
Source Schema Version 1.1
Spatial
Temporal 1982-01-01T00:00:00Z/1999-12-31T23:59:59Z

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