Showing results for: [ Guerschman, Juan ]
Vegetation Fractional Cover represents the exposed proportion of Photosynthetic Vegetation (PV), Non-Photosynthetic Vegetation (NPV) and Bare Soil (BS) within each pixel. The sum of the three fraction... mores is 100% (+/- 3%) and shown in Red/Green/Blue colors. In forested canopies the photosynthetic or non-photosynthetic portions of trees may obscure those of the grass layer and/or bare soil. This product is derived from the MODIS Nadir BRDF-Adjusted Reflectance product (MCD43A4) collection 6 and has 500 meters spatial resolution.
A suite of derivative products are also produced including monthly fractional cover, total vegetation cover (PV+NPV), and anomaly of total cover against the time series.
Monthly: The monthly product is aggregated from the 8-day composites using the medoid method.
Anomaly: represents the difference between total vegetation cover (PV+NPV) in a given month and the mean total vegetation cover for that month in all years available, expressed in units of cover. For example, if the mean vegetation cover in January (2001-current year) was 40% and the vegetation cover for the pixel in January 2018 was 30%, the anomaly for the pixel in Jan 2018 would be -10%.
Decile: represents the ranking (in ten value intervals) for the total vegetation cover in a given month in relation to the vegetation cover in that month for all years in the time-series.
MODIS fractional cover has been validated for Australia. less
DoAWR - Improving the RaPP Map monitoring tool for Australia - - Published 11 Nov 2019
This product provides estimates of canopy conductance at a global scale (0.05⁰) based on MODIS reflectance from MCD43C4 product and three vegetation indices (NDVI, EVI and Kc). The data is produced ... moreglobally at 0.05⁰ and every 8 days. Monthly and anuual climatologies are also available.
Base Period for Climatology: 2001-2011
Extra information about the pixel values:
Multiply by scale factor: 0.001
Fill values: -9999
The full reference for the algorithm is:
Yebra, M., Van Dijk, A., Leuning, R., Huete, A., Guerschman, J.P., 2013. Evaluation of optical remote sensing to estimate actual evapotranspiration and canopy conductance. Remote Sensing of Environment. 129, 250-261less
1212.0 OCE Post Doc Marta Yebra - Final mapping - Published 18 Dec 2012