Updated information on the extent of irrigated areas and related soil moisture (SM) conditions can be valuable input for basin-scale approaches to irrigation planning. Irrigated fields contain persistently higher SM levels than non-irrigated areas. Thus, high resolution (~100m) SM maps, derived from Sentinel-1 (S-1) observations, hold the potential to discriminate irrigated from non-irrigated areas. In this paper, the spatial and temporal contrast between the SM level of the irrigated and non-irrigated fields is characterized as a function of classes of crops, meteorological conditions, the time span between irrigation event and S-1 acquisition and water supply. The experimental basis consists of S-1 and irrigation management data acquired from 2017 to 2021 over the Riaza irrigation district in Castilla y Léon (Spain)
SENTINEL-1 DATA TO DETECT IRRIGATED FIELDS
A Balenzano;F Mattia;G Satalino;F Lovergine;
2022
Abstract
Updated information on the extent of irrigated areas and related soil moisture (SM) conditions can be valuable input for basin-scale approaches to irrigation planning. Irrigated fields contain persistently higher SM levels than non-irrigated areas. Thus, high resolution (~100m) SM maps, derived from Sentinel-1 (S-1) observations, hold the potential to discriminate irrigated from non-irrigated areas. In this paper, the spatial and temporal contrast between the SM level of the irrigated and non-irrigated fields is characterized as a function of classes of crops, meteorological conditions, the time span between irrigation event and S-1 acquisition and water supply. The experimental basis consists of S-1 and irrigation management data acquired from 2017 to 2021 over the Riaza irrigation district in Castilla y Léon (Spain)I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
