nc_metadata.json

{
    "Conventions": "CF-1.6, ACDD-1.3",
    "title": "Fractional cover - MODIS, CSIRO Land and Water algorithm",
    "summary": "Vegetation fractional cover represents the exposed proportion of Photosynthetic Vegetation (PV), Non-Photosynthetic Vegetation (NPV) and Bare Soil (BS) within each pixel. In forested canopies the photosynthetic or non-photosynthetic portions of trees may obscure those of the grass layer and/or bare soil. The MODIS Fractional Cover product is derived from the MODIS Nadir BRDF-Adjusted Reflectance (NBAR) product (MCD43A4, collection 5). A suite of derivative are also produced, namely total vegetation cover (PV+NPV), monthly fractional cover and total vegetation cover, monthly anomaly of total cover against the time series, and three-monthly total cover difference. MODIS fractional cover has been validated for Australia.  ",
    "license": "Creative Commons BY 4.0 - Rights: Copyright 2008-2016 CSIRO. Rights owned by the Commonwealth Scientific and Industrial Research Organisation (CSIRO). Licence: Creative Commons BY 4.0, https://creativecommons.org/licenses/by/4.0 Access: These data can be freely downloaded and used subject to the CC BY licence. Attribution and citation is required as described at http://www.auscover.org.au/citation. We ask that you send us citations and copies of publications arising from work that use these data. ",
    "publisher_name": "CSIRO Land and Water ",
    "publisher_email": "juan.guerschman@csiro.au",
    "publisher_url": "http://people.csiro.au/G/J/Juan-Guerschman",
    "standard_name_vocabulary": "CF Standard Names, v28",
    "keywords_vocabulary": "GCMD Science Keywords, Version 8.0.0.0.0",
    "keywords": "EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER , EARTH SCIENCE > CLIMATE INDICATORS > LAND SURFACE/AGRICULTURE INDICATORS > VEGETATION COVER",
    "creator_name": "Pablo Rozas Larraondo",
    "creator_email": "pablo.larraondo@anu.edu.au",
    "institution": "National Computational Infrastructure (NCI)",
    "creator_url": "http://www.nci.org.au",
    "history": "Version 3.0: Fractional cover was derived using a linear unmixing methodology (Guerschman et al. 2015). The method uses all 7 MODIS bands and adds log transforms and band interaction terms to account for non-linearities in the spectral mixing. A cross-validation step was also included to select the optimal number of singular values to avoid over-fitting. The calibration and validation steps used 1171 field observations across Australia. Overall, the model fitted and applied to MCD43A4 fractional cover has a root mean square error (RMSE) of 12.9%, 18.1% and 16.6% for the PV, NPV and BS fractions respectively (percentage cover)",
    "source": "Source data are derived from the MODIS Nadir BRDF-Adjusted Reflectance product (MCD43A4, collection 5), referred to as MODIS NBAR, as described at https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mcd43a4 The combined Terra-Aqua MODIS NBAR provides 500-meter reflectance data adjusted using a bidirectional reflectance distribution function (BRDF) to model the values as if they were taken from nadir view. MODIS NBAR data are 16-day composites in a phased production strategy: Produced every 8 days with 16 days of acquisition (i.e., production period 2001001 includes acquisition between Days 001 and 016, production period 2001009 includes acquisition between Days 009 and 024). Both Terra and Aqua data are used in the generation of this product, providing the highest probability for quality input data.",
    "references": "Juan P. Guerschman, Peter F. Scarth, Tim R. McVicar, Luigi J. Renzullo, Tim J. Malthus, Jane B. Stewart, Jasmine E. Rickards, Rebecca Trevithick (2015). Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data. Remote Sensing of Environment, 161, 12 26. http://dx.doi.org/10.1016/j.rse.2015.01.021",
    "acknowledgement": " ",
    "NCO": "4.4.2"
}