{
 "culture": "en-150",
 "name": "Growing_Season_Soil_Moisture_Anomalies__2000_2019",
 "guid": "34F42BD9-3E87-4A3A-B71C-D28F210EF6A3",
 "catalogPath": "",
 "snippet": "The dataset addresses average soil moisture anomalies during the vegetation growing season (GS) period",
 "description": "The dataset addresses average soil moisture anomalies during the vegetation growing season (GS) period. Positive values indicate that soil moisture is above the long-term average GS condition for the period 2000-2019, while negative values indicate that soil moisture is below the long-term average condition. Soil moisture anomalies during GS are derived from 10-days\u2019 time series of the Soil Moisture Index (SMI, ranging between 0 and 1), which is computed by normalizing the current local soil moisture conditions between the respective wilting point and the field capacity. The 10-day soil moisture anomaly values are expressed by zero mean (regarded as the long-term (i.e. 1995-2019) normal condition) and unit variance. Because the anomalies are in units of standard deviation from the long-term mean, they can be used to compare soil moisture deficits for any geographic location.\n\nThe dataset consists of a collection of yearly soil moisture anomalies values over the vegetation GS for the period 2000-2019. Yearly start and end of GS is defined according to the EEA Phenology Indicator.",
 "summary": "The dataset addresses average soil moisture anomalies during the vegetation growing season (GS) period",
 "title": "Growing_Season_Soil_Moisture_Anomalies__2000_2019",
 "tags": [
  "soil"
 ],
 "type": "Map Service",
 "typeKeywords": [
  "Data",
  "Service",
  "Map Service",
  "ArcGIS Server"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
 "extent": [
  [
   -50.2696243891161,
   25.2337310419576
  ],
  [
   73.2681307874551,
   72.7657546103346
  ]
 ],
 "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere",
 "accessInformation": "",
 "licenseInfo": ""
}