http://www.cnr.it/ontology/cnr/individuo/prodotto/ID43167

Operational Monitoring of Daily Crop Water Requirements at the Regional Scale with Time Series of Satellite Data (Articolo in rivista)

Type

Articolo in rivista (Classe)
Prodotto della ricerca (Classe)

Label

Operational Monitoring of Daily Crop Water Requirements at the Regional Scale with Time Series of Satellite Data (Articolo in rivista) (literal)

Anno

2010-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

10.1061/(ASCE)IR.1943-4774.0000161 (literal)

Alternative label

Rossi S., Rampini A., Bocchi S. and Boschetti M. (2010)
Operational Monitoring of Daily Crop Water Requirements at the Regional Scale with Time Series of Satellite Data
in Journal of irrigation and drainage engineering; ASCE-American Society of Civil Engineers, Reston (Stati Uniti d'America)
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Rossi S., Rampini A., Bocchi S. and Boschetti M. (literal)

Pagina inizio

225 (literal)

Pagina fine

231 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

136 (literal)

Rivista

Journal of irrigation and drainage engineering (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

7 (literal)

Note

ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

Rossi S.: IES, JRC-EC, Ispra Rampini A, Boschetti M.: CNR IREA, Milano Bocchi S.: Agraria, Universita' di Milano, Milano (literal)

Titolo

Operational Monitoring of Daily Crop Water Requirements at the Regional Scale with Time Series of Satellite Data (literal)

Abstract

This work presents a simple, cost-effective, and operational approach to monitor crop water requirements at the regional scale for water management and monitoring purposes. The recommended Food and Agricultural Organization of the United Nations methodology ?FAO-56? calculates crop evapotranspiration using crop-specific coefficients ?Kc?, which vary according to the crop type, health, and phenological stage. This approach, though widely applied for irrigation planning, cannot always match the appropriate crop coefficient with the actual crop phenological stage and health condition, especially in anomalous situations. Previous research demonstrated that crop coefficients and spectral vegetation indexes are correlated. Recent studies have used this relationship with high-resolution satellite data from different sensors to provide information to irrigation advisory services. However, high-resolution data are not feasible for an operational and routine monitoring of water consumption and needs. This paper tests the usefulness of time series of coarse resolution satellite data such as those collected by the moderate-resolution imaging spectroradiometer ?MODIS? sensor, to monitor crop coefficients temporal and spatial variability and therefore crop water needs at the regional scale taking advantage of the peculiar characteristics offered by MODIS in terms of high temporal resolution and preprocessed products availability. The outlined methodology takes into account the actual growing stage of the crops and nearly real-time vegetation variations, overcoming some limitations of the traditional FAO approach while preserving the maximum operability. The analysis was carried out in the South Milan agricultural area on data referring to 2003 and 2004. The results agreed with those of other studies and proved to be able to account for the anomalous conditions of the summer in 2003. These results were then compared with those obtained using the traditional FAO crop coefficient curves built with data collected during field campaigns in the same years in rice fields. Constraints, limitations, and possible uses are discussed. (literal)

Editore