ERMES EP_L3_IT_SeasonalPattern_MAP-E_2015_155

  • Title: ERMES EP_L3_IT_SeasonalPattern_MAP-E_2015_155
  • Abstract:

    Map of crop emergence calculated from Worldview-2 image data taken the 4th of June 2015 (doy 155) over the Italian local study area. This thematic map in four classes indicates ‘Bare soil (or Neither Water nor Vegetation)’, ‘Water only’, ‘Vegetation only’, ‘Both Water and Vegetation’) with Digital Number of 0, 1, 2 and 3 respectively. NoData value is set to -32767.
    This dataset was created in the framework of ERMES (an Earth obseRvation Model based ricE information Service), which is a FP7 Project co-funded by the European Commission with the objective of developing a prototype of downstream service dedicated to the rice sector to support authorities and farmers.

  • Publication Date: Aug. 5, 2015, midnight
  • Type: Raster Data
  • Keywords: Land use Land Use/Land Cover Crop/Plant Yields ERMES
  • Category: Farming
  • Regions: Italy
  • Point of contact:
    Nutini F. (National research Council of Italy, Institute for Electromagnetic Sensing of the Environment, Milan Support Unit)
    nutini.f@irea.cnr.it
    resourceProvider

  • Metadata responsible party:
    Nutini F. (National research Council of Italy, Institute for Electromagnetic Sensing of the Environment, Milan Support Unit)
    nutini.f@irea.cnr.it
    pointOfContact

  • StarterKit User: starterkit
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  • Restrictions: Access and fruition of data is open for non commercial uses.
  • Language: English
  • Data Quality: Thematic map of crop emergence calculated from Worldview-2 data taken the 4th of June 2015 (doy 155) over the Italian local study area (ERMES IT_EP_L3_Seasonal_Patterns_MCARI_2015_155). Imagery was corrected atmospherically using ATCOR and co-registered in ENVI. The steps for mapping poor or no emergence consist of computation of spectral indices from the TOA image, simple map algebra, and cartographic regularization, and are as follows: • Calculate NDVI: NDVI=(NIR-R)/(NIR+R) • Indicate an NDVI threshold (V) for vegetation presence (using in situ information, especially from inside rice fields), so as to catch even small amounts, e.g. 0 or 0.1 (in the Greek example, V=+0.1). • Create a binary map (0-1) for NDVI>V (MAP-V). • Multiply MAP-V x 2. • Indicate a threshold (W) for water presence low enough, so as to catch even shallow water on the band 8 (NIR) of Worldview-2. • Calibrate threshold W using in situ information, especially from inside rice fields. • Create a binary map (0-1) for NIR>W (MAP-W). • Sum MAP-V + MAP-V; results should take values: 0,1,2,3 corresponding to ‘Bare soil (or Neither Water nor Vegetation)’, ‘Water only’, ‘Vegetation only’, ‘Both Water and Vegetation’) (MAP-E). All the intermediate maps (NDVI, NIR) are not uploaded.
  • Supplemental Information:

    No information provided

Attribute Name Range Average Median Standard Deviation
Gray_Index NA

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