Assessment and Analysis of Crop Irrigation by the Combination of Modelling and Remote Sensing Techniques

Fabio Maselli, Luca Fibbi, Bernardo Rapi, Luca Angeli, Piero Battista, Marta Chiesi () and Bernardo Gozzini
Additional contact information
Fabio Maselli: CNR IBE
Luca Fibbi: CNR IBE
Bernardo Rapi: CNR IBE
Luca Angeli: LaMMA Consortium
Piero Battista: CNR IBE
Marta Chiesi: CNR IBE
Bernardo Gozzini: CNR IBE

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 12, No 14, 4823-4839

Abstract: Abstract Crop irrigation should be properly monitored to plan the use of land water resources and their repartition among competing activities. Appropriate statistical approaches can be applied to infer the irrigation water (IW) supplied over a cropped area relying on ground observations and the outputs of calibrated crop development models. The collection of such reference samples over relatively large areas and multiyear periods, however, is often hampered by practical problems that limit the possibility of obtaining precise estimates of the IW actually supplied. One of the possible ways to overcome these issues and increase the precision of the IW observations is through a regression correction versus wall-to-wall IW covariates obtained from remotely sensed images. Specifically, the correction of the reference IW observations can be performed using mapped IW estimates yielded by the combination of meteorological data and Sentinel-2 NDVI images. This strategy was tested in a 10 × 10 km2 agricultural area in Southern Tuscany (Central Italy) during 2018–2022. The high correlations found between the reference and remotely sensed IW values allowed us to obtain satisfactory results for all years. The regression corrections applied had very high relative efficiencies (> 30) and notably enhanced the IW precisions obtained from the reference samples. The dynamics of the corrected IW observations were finally analysed versus the possible drivers, yielding useful indications for the management of local water resources.

Keywords: Sentinel-2; NDVI; Irrigated fields; AquaCrop model; Mediterranean area (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11269-023-03585-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:37:y:2023:i:12:d:10.1007_s11269-023-03585-y

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-023-03585-y

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().