Water Quality Management in Agriculture: The Case of Lombardy - North Italy

Riparbelli, Carlo; Cambareri, M.; Pastori, Marco; Brenna, Stefano

doi:10.1007/1-4020-4800-9_20

Cited by 3 publications

(1 citation statement)

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“…Average air temperature is 13–14 °C, with summer (June-August) and winter (December-February) average values of 23–24 °C and 2–3 °C, respectively [ 51 ]. Precipitations are concentrated in autumn and spring, with a mean annual total of 800 mm.…”

Section: Methodsmentioning

confidence: 99%

A Weekly Indicator of Surface Moisture Status from Satellite Data for Operational Monitoring of Crop Conditions

Nutini

Stroppiana

Busetto

et al. 2017

Sensors

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The triangle method has been applied to derive a weekly indicator of evaporative fraction on vegetated areas in a temperate region in Northern Italy. Daily MODIS Aqua Land Surface Temperature (MYD11A1) data has been combined with air temperature maps and 8-day composite MODIS NDVI (MOD13Q1/MYD13Q1) data to estimate the Evaporative Fraction (EF) at 1 km resolution, on a daily basis. Measurements at two eddy covariance towers located within the study area have been exploited to assess the reliability of satellite based EF estimations as well as the robustness of input data. Weekly syntheses of the daily EF indicator (EFw) were then derived at regional scale for the years 2010, 2011 and 2012 as a proxy of overall surface moisture condition. EFw showed a temporal behavior consistent with growing cycles and agro-practices of the main crops cultivated in the study area (rice, forages and corn). Comparison with official regional corn yield data showed that variations in EFw cumulated over summer are related with crop production shortages induced by water scarcity. These results suggest that weekly-averaged EF estimated from MODIS data is sensible to water stress conditions and can be used as an indicator of crops’ moisture conditions at agronomical district level. Advantages and disadvantages of the proposed approach to provide information useful to issue operational near real time bulletins on crop conditions at regional scale are discussed.

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Section: Methodsmentioning

confidence: 99%