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Remote Sens. 2016, 8(9), 731; doi:10.3390/rs8090731

Integration of Ground and Multi-Resolution Satellite Data for Predicting the Water Balance of a Mediterranean Two-Layer Agro-Ecosystem

1
Istituto di Biometeorologia (IBIMET), Consiglio Nazionale delle Ricerche, 50145 Firenze, Italy
2
Istituto Valorizzazione Legno e Specie Arboree (IVALSA), Consiglio Nazionale delle Ricerche, 50019 Sesto Fiorentino (FI), Italy
3
Istituto per la Protezione Sostenibile delle Piante (IPSP), Consiglio Nazionale delle Ricerche, 50019 Sesto Fiorentino (FI), Italy
4
Dipartimento di Bioscienze e Territorio, Università del Molise, 86090, Pesche (IS), Italy
*
Author to whom correspondence should be addressed.
Academic Editors: George P. Petropoulos, Clement Atzberger, Gabriel Senay and Prasad S. Thenkabail
Received: 8 June 2016 / Revised: 26 August 2016 / Accepted: 29 August 2016 / Published: 5 September 2016
View Full-Text   |   Download PDF [2135 KB, uploaded 5 September 2016]   |  

Abstract

The estimation of site water budget is important in Mediterranean areas, where it represents a crucial factor affecting the quantity and quality of traditional crop production. This is particularly the case for spatially fragmented, multi-layer agricultural ecosystems such as olive groves, which are traditional cultivations of the Mediterranean basin. The current paper aims at demonstrating the effectiveness of spatialized meteorological data and remote sensing techniques to estimate the actual evapotranspiration (ETA) and the soil water content (SWC) of an olive orchard in Central Italy. The relatively small size of this orchard (about 0.1 ha) and its two-layer structure (i.e., olive trees and grasses) require the integration of remotely sensed data with different spatial and temporal resolutions (Terra-MODIS, Landsat 8-OLI and Ikonos). These data are used to drive a recently proposed water balance method (NDVI-Cws) and predict ETA and then site SWC, which are assessed through comparison with sap flow and soil wetness measurements taken in 2013. The results obtained indicate the importance of integrating satellite imageries having different spatio-temporal properties in order to properly characterize the examined olive orchard. More generally, the experimental evidences support the possibility of using widely available remotely sensed and ancillary datasets for the operational estimation of ETA and SWC in olive tree cultivation systems. View Full-Text
Keywords: olive grove; NDVI; MODIS; Landsat OLI; evapotranspiration; soil water content olive grove; NDVI; MODIS; Landsat OLI; evapotranspiration; soil water content
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Battista, P.; Chiesi, M.; Rapi, B.; Romani, M.; Cantini, C.; Giovannelli, A.; Cocozza, C.; Tognetti, R.; Maselli, F. Integration of Ground and Multi-Resolution Satellite Data for Predicting the Water Balance of a Mediterranean Two-Layer Agro-Ecosystem. Remote Sens. 2016, 8, 731.

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