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Remotely Sensed Agroclimatic Classification and Zoning in Water-Limited Mediterranean Areas towards Sustainable Agriculture

Authors :
Ioannis Faraslis
Nicolas R. Dalezios
Nicolas Alpanakis
Georgios A. Tziatzios
Marios Spiliotopoulos
Stavros Sakellariou
Pantelis Sidiropoulos
Nicholas Dercas
Alfonso Domínguez
José Antonio Martínez-López
Ramón López-Urrea
Fadi Karam
Hacib Amami
Radhouan Nciri
Source :
Remote Sensing, Vol 15, Iss 24, p 5720 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Agroclimatic classification identifies zones for efficient use of natural resources leading to optimal and non-optimal crop production. The aim of this paper is the development of a methodology to determine sustainable agricultural zones in three Mediterranean study areas, namely, “La Mancha Oriental” in Spain, “Sidi Bouzid” in Tunisia, and “Bekaa” valley in Lebanon. To achieve this, time series analysis with advanced geoinformatic techniques is applied. The agroclimatic classification methodology is based on three-stages: first, the microclimate features of the region are considered using aridity and vegetation health indices leading to water-limited growth environment (WLGE) zones based on water availability; second, landform features and soil types are associated with WLGE zones to identify non-crop-specific agroclimatic zones (NCSAZ); finally, specific restricted crop parameters are combined with NCSAZ to create the suitability zones. The results are promising as compared with the current crop production systems of the three areas under investigation. Due to climate change, the results indicate that these arid or semi-arid regions are also faced with insufficient amounts of precipitation for supporting rainfed annual crops. Finally, the proposed methodology reveals that the employment and use of remote sensing data and methods could be a significant tool for quickly creating detailed, and up to date agroclimatic zones.

Details

Language :
English
ISSN :
20724292
Volume :
15
Issue :
24
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.0c7c9622cf974e71907cd8919cb2ddf3
Document Type :
article
Full Text :
https://doi.org/10.3390/rs15245720