Agricultural water use estimation using geospatial modeling and a geographic information system

Boken, Vijendra K.; Hoogenboom, Gerrit; Hook, Jerry B.; Thomas, Daniel L.; Guerra, Larry C.; Harrison, Kerry A.

doi:10.1016/j.agwat.2004.01.003

Cited by 27 publications

(20 citation statements)

References 7 publications

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“…Preferiu-se a krigagem ordinária em blocos, por resultar em superfície mais suavizada quando comparada com a krigagem ordinária pontual (Burrough & McDonnell, 1998).…”

Section: Krigagem Ordináriaunclassified

“…A disponibilidade de recursos hídricos é limitada e sua demanda cresceu com o aumento populacional, de forma a determinar disputas pelo direito de uso de quotas de água (Boken et al, 2004). As principais fontes de recursos hídri-cos disponíveis ao sustento humano não excedem 90.000 km 3 ou 0,26% da água doce da Terra (Shiklomanov, 1998); poderia ser o bastante para uma demanda global de 5.000 km 3 por ano, se não fosse considerada a variabilidade da distribuição de água ao longo da superfície terrestre, as enchentes e secas catastróficas em algumas regiões, a degradação dos recursos naturais e as mudanças climáticas globais (Salinger, 2005).…”

Section: Introductionunclassified

“…Por meio de metodologias de análise baseadas em Sistema de Informações Geográficas (SIG) e Geoestatística, foi demonstrada a possibilidade de otimização da preservação ambiental, caracterização do meio físico, o uso e o manejo dos recursos naturais de bacias hidrográficas considerandose a variabilidade espacial de atributos geobiofísicos (Boken et al, 2004;Pinto et al, 2004;Vieira et al, 1992). Para representar os valores da variável estudada em áreas não amostradas, foram utilizados métodos de interpolação dos dados com diferenças quanto à qualidade dos resultados (Burrough & McDonell, 1998;Isaaks & Srivastava, 1989;Carvalho & Vieira, 2001).…”

Section: Introductionunclassified

“…Estimativas acuradas de variáveis ambientais foram obtidas por meio dos métodos de interpolação pelo inverso da potência da distância (IPD) e por krigagem (Boken et al, 2004;Kravchenko, 2003;Musa et al, 2002). Esses métodos apresentaram a vantagem de estimar valores baseados em locais não amostrados, atribuindo pesos diferenciados segundo a localização da amostra e sua vizinhança (Mueller et al, 2001;Kravchenko & Bullock, 1999).…”

Section: Introductionunclassified

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Variabilidade espacial de variáveis geobiofísicas nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz

Alves¹,

Botelho²,

Pinto³

et al. 2008

Rev. bras. eng. agríc. ambient.

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R ESU MOObjetivou-se, em Lavras, MG, caracterizar a estrutura e a magnitude de dependência espacial de variáveis ambientais nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz, por métodos de interpolação geoestatística. Os métodos de interpolação por krigagem ordinária e inverso da potência da distância (IPD) foram utilizados para representar altitude, vazão, áreas de recarga e de vegetação de 175 nascentes perenes em 86,99 km 2 de área. Observou-se melhor desempenho da estimação por krigagem quando comparado ao método IPD.Palavras-chave: geoestatística, krigagem ordinária, inverso da potência da distância, semivariograma Spatial variability of geobiophysical variables in the springs of the Ribeirão Santa Cruz watershed ABST RACTThe objective of this study was to characterize the structure and the spatial dependence magnitude of geobiophysical variables in the springs of the Ribeirão Santa Cruz stream watershed, Lavras, MG, using geostatistical interpolation methods. Ordinary kriging system and inverse power distance (IPD) interpolation methods were used to map the altitude, flow, areas of recharge and vegetation of 175 perennial springs in an area of 86.99 km 2 . Better peformance was observed with estimation using the kriging method as compared to the IPD method.

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“…Preferiu-se a krigagem ordinária em blocos, por resultar em superfície mais suavizada quando comparada com a krigagem ordinária pontual (Burrough & McDonnell, 1998).…”

Section: Krigagem Ordináriaunclassified

Section: Introductionunclassified

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Variabilidade espacial de variáveis geobiofísicas nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz

Alves¹,

Botelho²,

Pinto³

et al. 2008

Rev. bras. eng. agríc. ambient.

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“…Early methods applied to assess irrigation requirements include water metering, questionnaires, water use coefficients, water rights, pumping hours or electricity consumption [2]. For example, Boken et al [3] used irrigation requirements (mm) for cotton, peanut and maize measured at a limited number of sample sites combined with GIS and geospatial techniques to estimate regional water use at a county level in Georgia. These methods are direct and can be quite accurate, but are laborious and lacking in predictive capacity.…”

Section: Introductionmentioning

confidence: 99%

Regional Water Balance Based on Remotely Sensed Evapotranspiration and Irrigation: An Assessment of the Haihe Plain, China

Yang

Liu

et al. 2014

Remote Sensing

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Optimal planning and management of the limited water resources for maximum productivity in agriculture requires quantifying the irrigation applied at a regional scale. However, most efforts involving remote sensing applications in assessing large-scale irrigation applied (IA) have focused on supplying spatial variables for crop models or studying evapotranspiration (ET) inversions, rather than directly building a remote sensing data-based model to estimate IA. In this study, based on remote sensing data, an IA estimation model together with an ET calculation model (ETWatch) is set up to simulate the spatial distribution of IA in the Haihe Plain of northern China. We have verified this as an effective approach for the simulation of regional IA, being more reflective of regional characteristics and of higher resolution compared to single site-specific results. The results show that annual ET varies from 527 mm to 679 mm and IA varies from 166 mm to We confirm that the region along the Taihang Mountain in Hebei Plain has serious water resource sustainability problems, even while receiving water from the South-North Water Transfer (SNWT) project. This is due to the region's intensive agricultural production and declining groundwater tables. Water-saving technologies, including more timely and accurate geo-specific IA assessments, may help reduce this threat.

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Spatial Estimation of Soil Moisture and Salinity With Neural Kriging

Zheng

Zhang

Chai

et al. 2009

IFIP Advances in Information and Communication Technology

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The study was carried out with 107 measurements of volumetric soil water content (SWC) and electrical conductivity (EC) for soil profile (0-30 cm) and the estimating accuracy of ordinary kriging (OK) and back-propagation neural network (BPNN) was compared. The results showed that BPNN method predicted a slightly better accurate SWC than that of OK, but differences between both methods were not significant based on the analysis of covariance (ANOVA) test (P >0.05). In addition, BPNN performed much better in EC prediction with higher model efficiency factor (E) and ratio of prediction to deviation (RPD) (E=0.8044 and RPD=3.54) than that of OK (E=0.7793 and RPD=0.39). Moreover, a novel neural kriging (NK) resulting from the integration of neural network (NN) and ordinary kriging (OK) techniques was developed through a geographic information system (GIS) environment for obtaining trend maps of SWC and EC. There was no significance between results of NK and OK through trend maps. Comparing with OK, NK gives better spatial estimations for its great advantage of establishing spatial nonlinear relationships through training directly on the data without building any complicated mathematical models and making assumptions on spatial variations.

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Agricultural water use estimation using geospatial modeling and a geographic information system

Cited by 27 publications

References 7 publications

Variabilidade espacial de variáveis geobiofísicas nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz

Variabilidade espacial de variáveis geobiofísicas nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz

Regional Water Balance Based on Remotely Sensed Evapotranspiration and Irrigation: An Assessment of the Haihe Plain, China

Spatial Estimation of Soil Moisture and Salinity With Neural Kriging

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