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Article Dans Une Revue Revista Brasileira de Meteorologia Année : 2018

Estimation of Irrigation Water Pumping by Remote Sensing: Application of the SAMIR Model to Citrus under Mediterranean Climate Conditions

Résumé

Abstract Agricultural intensification has led to overexploitation of water resources, in particular of the underground resource. Estimating groundwater exploitation remains a serious problem in arid and semi-arid countries such as Algeria. The objective of this work is to estimate volumes of pumped irrigation water using the SAtellite Monitoring of Irrigation (SAMIR) model from satellite imagery. Eleven (11) Landsat-TM images covering an area of 20 hectares of citrus orchards with a drip irrigation system were used. Irrigation volumes simulated by SAMIR were compared with volumes of pumped irrigation water. The latter were recorded digitally by specific programmers over a one-year observation period. The results shows a slight discrepancy between total simulated and observed volumes, 138,782 m3 and 135,688.5 m3, respectively. The index of agreement d and RMSE were 80.94 and 0.11, respectively, while the ratio of observed to simulated volumes varied from 0.76 to 1.27. 65% of the values compared differed by less than 10%. A significant correlation was found between the two methods. This confirms the feasibility of estimating pumping by remote sensing without calculating theoretical crop water requirements.
Resumo A intensificação da agricultura levou à sobreexploração de recursos hídricos, em particular os recursos subterrâneos. A dificuldade na sua estimativa continua a ser um problema sério em países como a Argélia. O objetivo deste trabalho é estimar o bombeamento de água agrícola através do modelo SAMIR (SAtellite Monitoring of IRrigation), com base no uso de imagens de satélite. Foram utilizadas onze (11) imagens Landsat-TM que abarcam uma área de 20 hectares de citrinos irrigados com sistema de gota a gota. As irrigações simuladas pelo SAMIR são confrontadas com as irrigações resultantes do bombeamento. Estes últimos foram gravados digitalmente por programadores específicos durante um período de observação de um ano. Os resultados mostram uma discrepância ligeira nos volumes totais simulados e observados, respectivamente de 138782 m3 e 135688,5 m3. O índice de concordância d e RMSE são respectivamente 80,94 e 0,11, enquanto a relação entre observações e simulações varia de 0,76 a 1,27. 65% dos valores comparados têm diferenças inferiores a 10%. Os métodos utilizados mostram uma correlação significativa. Isso confirma o nível de relevância da estimativa de bombeamento pelo método de sensoriamento remoto, sem calcular os requisitos teóricos de água das culturas.

Dates et versions

hal-03821729 , version 1 (19-10-2022)

Identifiants

Citer

Idir Tazekrit, Mohamed Benslimane, Vincent Simonneaux, Tarik Hartani, Abderrahmane Hamimed. Estimation of Irrigation Water Pumping by Remote Sensing: Application of the SAMIR Model to Citrus under Mediterranean Climate Conditions. Revista Brasileira de Meteorologia, 2018, 33 (3), pp.391-400. ⟨10.1590/0102-7786333016⟩. ⟨hal-03821729⟩
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