Application of a remote sensing-based soil water balance for the accounting of groundwater abstractions in large irrigation areas

2019 ◽  
Vol 37 (6) ◽  
pp. 709-724 ◽  
Author(s):  
Jesús Garrido-Rubio ◽  
David Sanz ◽  
Jose González-Piqueras ◽  
Alfonso Calera
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Soil Water ◽  
Soil Water Balance ◽  
Large Irrigation

scholarly journals Remote sensing-based soil water balance for irrigation water accounting at the Spanish Iberian Peninsula

2018 ◽  
Vol 380 ◽  
pp. 29-35 ◽  
Author(s):  
Jesús Garrido-Rubio ◽  
Alfonso Calera Belmonte ◽  
Lorena Fraile Enguita ◽  
Irene Arellano Alcázar ◽  
Mario Belmonte Mancebo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Water Balance ◽  
Iberian Peninsula ◽  
Soil Water ◽  
Irrigation Water ◽  
Water Governance ◽  
Soil Water Balance ◽  
Water Requirements ◽  
Water Accounting

Abstract. Temporal series maps of irrigated areas, and the corresponding irrigation water requirements based on remote sensing, is a recognized tool contributing to water governance at different scales, from water user associations to whole river basin districts. These thematic cartographies offer a first estimation of the crop irrigation requirements, and a biophysical based approach of the temporal and spatial distribution of the crop water use in the cultivated areas. This work describes the operational application of these methodologies, providing valuable information for water governance and management purposes. The basic products obtained in the whole Spanish part of the Iberian Peninsula during the period 2014–2017 were: (i) annual maps of irrigated crops based on time series of multispectral satellite imagery; and (ii) the direct remote sensing-based water accounting, by quantifying agricultural water flows (e.g. rainfall, irrigation, evapotranspiration, drainage and recharge), through a remote sensing-based soil water balance. Hence this paper provides a remote sensing based water accounting approach, which relies on dense time series of multispectral imagery acquired by the multisensor constellation arranged by Landsat 8 and Sentinel-2 satellites, jointly with meteorological data and agronomic knowledge. Then, based on these purpose and approach, annual and monthly maps of net irrigation water requirements have been elaborated at the most practical spatial and temporal scales for water governance purposes over big areas such river basin districts. This work summarizes the methodologies used and discuss the technical and non-technical feasibility of the proposed approach.

scholarly journals Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance

2016 ◽  
Vol 8 (3) ◽  
pp. 253 ◽  
Author(s):  
Magali Odi-Lara ◽  
Isidro Campos ◽  
Christopher Neale ◽  
Samuel Ortega-Farías ◽  
Carlos Poblete-Echeverría ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Soil Water ◽  
Apple Orchard ◽  
Soil Water Balance

scholarly journals Exploring the Use of Vegetation Indices for Validating Crop Transpiration Fluxes Computed with the MOHID-Land Model. Application to Vineyard

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1228
Author(s):  
Tiago B. Ramos ◽  
Lucian Simionesei ◽  
Ana R. Oliveira ◽  
Ramiro Neves ◽  
Hanaa Darouich
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Soil Water ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Vegetation Indices ◽  
Remote Sensing Data ◽  
Soil Water Balance ◽  
Growing Seasons ◽  
Crop Coefficients

The success of an irrigation decision support system (DSS) much depends on the reliability of the information provided to farmers. Remote sensing data can expectably help validate that information at the field scale. In this study, the MOHID-Land model, the core engine of the IrrigaSys DSS, was used to simulate the soil water balance in an irrigated vineyard located in southern Portugal during three growing seasons. Modeled actual basal crop coefficients and transpiration rates were then compared with the corresponding estimates derived from the normalized difference vegetation index (NDVI) computed from Sentinel-2 imagery. On one hand, the hydrological model was able to successfully estimate the soil water balance during the monitored seasons, exposing the need for improved irrigation schedules to minimize percolation losses. On the other hand, remote sensing products found correspondence with model outputs despite the conceptual differences between both approaches. With the necessary precautions, those products can be used to complement the information provided to farmers for irrigation of vine crop, further contributing to the regular validation of model estimates in the absence of field datasets.

Remote sensing–based soil water balance for irrigation water accounting at plot and water user association management scale

2020 ◽  
Vol 238 ◽  
pp. 106236 ◽  
Author(s):  
Jesús Garrido-Rubio ◽  
Jose González-Piqueras ◽  
Isidro Campos ◽  
Anna Osann ◽  
Laura González-Gómez ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Soil Water ◽  
Irrigation Water ◽  
Soil Water Balance ◽  
User Association ◽  
Water User ◽  
Water User Association ◽  
Association Management ◽  
Water Accounting

scholarly journals Assessing Irrigation Water Use with Remote Sensing-Based Soil Water Balance at an Irrigation Scheme Level in a Semi-Arid Region of Morocco

2021 ◽  
Vol 13 (6) ◽  
pp. 1133
Author(s):  
Mohamed Hakim Kharrou ◽  
Vincent Simonneaux ◽  
Salah Er-Raki ◽  
Michel Le Page ◽  
Saïd Khabba ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Soil Water ◽  
Irrigation Water ◽  
Management Practices ◽  
Irrigation District ◽  
Soil Water Balance ◽  
Balance Model ◽  
Irrigation Water Use ◽  
Semi Arid

This study aims to evaluate a remote sensing-based approach to allow estimation of the temporal and spatial distribution of crop evapotranspiration (ET) and irrigation water requirements over irrigated areas in semi-arid regions. The method is based on the daily step FAO-56 Soil Water Balance model combined with a time series of basal crop coefficients and the fractional vegetation cover derived from high-resolution satellite Normalized Difference Vegetation Index (NDVI) imagery. The model was first calibrated and validated at plot scale using ET measured by eddy-covariance systems over wheat fields and olive orchards representing the main crops grown in the study area of the Haouz plain (central Morocco). The results showed that the model provided good estimates of ET for wheat and olive trees with a root mean square error (RMSE) of about 0.56 and 0.54 mm/day respectively. The model was then used to compare remotely sensed estimates of irrigation requirements (RS-IWR) and irrigation water supplied (WS) at plot scale over an irrigation district in the Haouz plain through three growing seasons. The comparison indicated a large spatio-temporal variability in irrigation water demands and supplies; the median values of WS and RS-IWR were 130 (175), 117 (175) and 118 (112) mm respectively in the 2002–2003, 2005–2006 and 2008–2009 seasons. This could be attributed to inadequate irrigation supply and/or to farmers’ socio-economic considerations and management practices. The findings demonstrate the potential for irrigation managers to use remote sensing-based models to monitor irrigation water usage for efficient and sustainable use of water resources.

Estimation of total available water in the soil layer by integrating actual evapotranspiration data in a remote sensing-driven soil water balance

2016 ◽  
Vol 534 ◽  
pp. 427-439 ◽  
Author(s):  
Isidro Campos ◽  
Jose González-Piqueras ◽  
Arnaud Carrara ◽  
Julio Villodre ◽  
Alfonso Calera
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Soil Water ◽  
Soil Layer ◽  
Soil Water Balance ◽  
Actual Evapotranspiration ◽  
Available Water

scholarly journals VALIDAÇÃO DO MODELO SAFER NA ESTIMATIVA DA EVAPOTRANSPIRAÇÃO DA CANA-DE-AÇÚCAR

Irriga ◽  
2020 ◽  
Vol 25 (2) ◽  
pp. 247-262
Author(s):  
João Maurício Fernandes Souza ◽  
José Alves Jr. ◽  
Derblai Casaroli ◽  
Adão Wagner Pego Evangelista ◽  
Marcio Mesquita
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Soil Water ◽  
Satellite Images ◽  
Estimation Method ◽  
Simple Algorithm ◽  
Saccharum Officinarum ◽  
Soil Water Balance ◽  
Landsat 8 ◽  
Traditional Methods

VALIDAÇÃO DO MODELO SAFER NA ESTIMATIVA DA EVAPOTRANSPIRAÇÃO DA CANA-DE-AÇÚCAR     JOÃO MAURÍCIO FERNANDES SOUZA1; JOSÉ ALVES JÚNIOR2 DERBLAI CASAROLI2; ADÃO WAGNER PEGO EVANGELISTA2 E MARCIO MESQUITA2   1 Professor Doutor: Departamento de Agronomia, Centro Universitário de Anápolis – UniEvangélica, Av. Universitária Km 3,5, Cidade Universitária, CEP: 75083-515, Anápolis, Goiás, Brasil, e-mail: [email protected]. 2 Professores Doutores: Escola de Agronomia, Universidade Federal de Goiás - UFG, Av. Esperança s/n, Campus Samambaia, CEP 74.690-900, Goiânia, Goiás, Brasil, e-mails: [email protected], [email protected], [email protected], má[email protected]     1 RESUMO   Métodos que possam determinar o balanço hídrico de culturas a partir de imagens de satélites se mostram muito úteis, pois são capazes de propiciar a sua determinação em áreas com grande heterogeneidade e dimensão. Objetivou-se realizar um comparativo entre o método de estimativa de evapotranspiração real (ETr) obtida pelo SAFER (Simple algorithm for evapotranspiration retrieving), o balanço hídrico climatológico e de água no solo, de forma a validar a metodologia proposta como alternativa aos métodos tradicionais. O estudo foi realizado em Santo Antônio de Goiás-GO em área de 100 ha, com cana-de-açúcar (CTC-4) em sequeiro. A ETr foi estimada utilizando imagens do satélite Landsat 8 e os resultados comparados com o balanço hídrico do solo e climático de maio a agosto de 2015. Em geral, os resultados de ETr pelo SAFER, concordaram bem com os métodos tradicionais, estimando valores de ETr em média 0,70 mm dia-1 acima dos valores de estimativa obtidos com o balanço hídrico do solo e de 0,48 mm dia-1 para o balanço hídrico climatológico. O sensoriamento remoto e o modelo agrometeorológico SAFER podem ser utilizados para estimar a ETr da cana-de-açúcar na região, utilizando o ajuste ETr=0,87*ETSAFER-0,51 para o balanço hídrico do solo e o ajuste ETr=0,92*ETSAFER-0,36 para o balanço hídrico climático.   Keywords: déficit hídrico, necessidade hídrica, sensoriamento remoto, Saccharum spp.     SOUZA, J. M. F.; ALVES JÚNIOR, J.; CASAROLI, D.; EVANGELISTA, A. W. P.; MESQUITA, M. VALIDATION OF SAFER ALGORITHM TO ESTIMATE SUGARCANE CROP EVAPOTRANSPIRATION     2 ABSTRACT   Methods that can determine the water balance of cultures from satellite images prove to be very useful because they can provide its determination in large areas with high heterogeneity. The aim of this study was to compare the real evapotranspiration (ETr) estimation method obtained by SAFER (Simple Algorithm for Evapotranspiration Retrieving), to the climatological water balance and the soil water balance in order to validate the proposed methodology as an alternative to traditional methods. The study was conducted in Santo Antônio de Goiás – GO, Brazil, in a non-irrigated area with 100 hectares, planted with sugarcane (CTC-4 variety). The ETr was estimated using Landsat 8 (OLI / TIRS) satellite images and the results compared to the soil water and climate balance in the period from May toAugust 2015. In general, the results estimated by SAFER corroborated those of traditional methods, estimating ETr values of 0.70 mm dia-1, on average, above estimation values obtained with the soil water balance and 0.48 mm day-1 for the climatic water balance. The evapotranspiration estimation method using remote sensing and the agro-meteorological model SAFER can be used to estimate actual evapotranspiration (ETr) of sugarcane in the Cerrado region, using the adjustment ETr = 0.87*ETSAFER – 0.51 for the soil water balance and the adjustment ETr = 0.92*SAFER - 0.36 for the climatological water balance.   Keywords: water stress, water requirement, remote sensing, Saccharum officinarum L.

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