ETC_ULS/Growing_Season_Soil_Moisture_Anomalies__2000

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Service 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’ 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. The 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.

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Growing_Season_Soil_Moisture_Anomalies__2000_2019 (0)

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Spatial Reference: 102100 (3857)

Single Fused Map Cache: false

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Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Supports Dynamic Layers: true

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true

Child Resources: Info Dynamic Layer

Supported Operations: Export Map Identify QueryLegends QueryDomains Find Return Updates Generate KML

ETC_ULS/Growing_Season_Soil_Moisture_Anomalies__2000_2019 (MapServer)