Irrigation volume assessment via Remote Sensing and Cloud Engine tools
Maria Vigon Canellas
Irrigation volume assessment via Remote Sensing and Cloud Engine tools.
Rel. Pierluigi Claps, Daniele Ganora. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2020
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Abstract
The aim of this project is to design and develop an irrigation volume assessment via remote sensing and cloud engine tools. This product objective is the estimation of soil moisture on agricultural fields in the North of Italy. The project was carried out not only to control the irrigation of this area, but also to increase the knowledge of the crops and the vegetation state to help to obtain the best possible agricultural products. The project was developed under the framework of the space technologies. Since 2010, with the launch of the Soil Moisture and Ocean Salinity (SMOS) Satellite conducted by the European Space Agency (ESA), or with the Soil Moisture Active Passive (SMAP) Satellite launch by the NASA in 2015, measuring soil moisture remotely became possible.
Despite their huge advantages, some limitations made the data from these satellites not useful for agricultural applications, especially their low spatial resolution (30km-50km)
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