Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment

Immerzeel, Walter W.; Gaur, Anju; Zwart, Sander J.

doi:10.1016/j.agwat.2007.08.006

Cited by 112 publications

(52 citation statements)

References 13 publications

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“…The spatial distribution of soils was taken from the digital Soil Map of the World (FAO, 2003). Soil parameterization was partly adapted from a modeling study of the region by Immerzeel et al (2008), and partly taken from the FAO (2003) database. Measured weather data for the period from 1988 to 2008 was used.…”

Section: P D Wagner Et Al: Impacts Of Land Use Changes On Water Rementioning

confidence: 99%

An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India

Wagner

Kumar

Schneider

2013

Hydrol. Earth Syst. Sci.

162

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Abstract. Land use changes are altering the hydrologic system and have potentially large impacts on water resources. Rapid socio-economic development drives land use change. This is particularly true in the case of the rapidly developing city of Pune, India. The present study aims at analyzing past land use changes between 1989 and 2009 and their impacts on the water balance in the Mula and Mutha Rivers catchment upstream of Pune. Land use changes were identified from three Rivers catchment multitemporal land use classifications for the cropping years 1989/1990, 2000/2001, and 2009/2010. The hydrologic model SWAT (Soil and Water Assessment Tool) was used to assess impacts on runoff and evapotranspiration. Two model runs were performed and compared using the land use classifications of 1989/1990 and 2009/2010. The main land use changes were identified as an increase of urban area from 5.1 % to 10.1 % and cropland from 9.7 % to 13.5 % of the catchment area during the 20 yr period. Urbanization was mainly observed in the eastern part and conversion to cropland in the mid-northern part of the catchment. At the catchment scale we found that the impacts of these land use changes on the water balance cancel each other out. However, at the sub-basin scale urbanization led to an increase of the water yield by up to 7.6 %, and a similar decrease of evapotranspiration, whereas the increase of cropland resulted in an increase of evapotranspiration by up to 5.9 %.

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Section: P D Wagner Et Al: Impacts Of Land Use Changes On Water Rementioning

confidence: 99%

An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India

Wagner

Kumar

Schneider

2013

Hydrol. Earth Syst. Sci.

162

View full text Add to dashboard Cite

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“…For this we used the SEBAL model (Surface Energy Balance Algorithms for Land - Bastiaanssena et al, 1998) to generate input information from the hydrologic model SWAT (Soil Water Assessment Tools) to simulate the water balance in the Lajeado River basin in the state of Tocantins, Brazil. It is worth to be mentioned that only few published works address sensing data assimilated in SWAT model, such as Immerzeel et al (2008) and Immerzeel & Droogers (2008).…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia

et al. 2015

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“…albedo, crop coefficient, leaf area index (Choudhury et al, 1994;D'Urso et al, 1999;Schultz and Engman, 2000). The feasibility of using remotely sensed crop parameters in combination of agro-hydrological models has been investigated in recent studies (D'Urso, 2001; D'Urso and Immerzeel et al, 2008;Crown et al, 2008;Minacapilli et al, 2008) with the aim of enabling the spatially distributed evaluation of water balance components in the SPA system.…”

Section: Introductionmentioning

confidence: 99%

Estimation of actual evapotranspiration of Mediterranean perennial crops by means of remote-sensing based surface energy balance models

Minacapilli

Agnese

Blanda

et al. 2009

Hydrol. Earth Syst. Sci.

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Abstract. Actual evapotranspiration from typical Mediterranean crops has been assessed in a Sicilian study area by using surface energy balance (SEB) and soil-water balance models. Both modelling approaches use remotely sensed data to estimate evapotranspiration fluxes in a spatially distributed way. The first approach exploits visible (VIS), nearinfrared (NIR) and thermal (TIR) observations to solve the surface energy balance equation whereas the soil-water balance model uses only VIS-NIR data to detect the spatial variability of crop parameters. Considering that the study area is characterized by typical spatially sparse Mediterranean vegetation, i.e. olive, citrus and vineyards, alternating bare soil and canopy, we focused the attention on the main conceptual differences between one-source and two-sources energy balance models. Two different models have been tested: the widely used one-source SEBAL model, where soil and vegetation are considered as the sole source (mostly appropriate in the case of uniform vegetation coverage) and the twosources TSEB model, where soil and vegetation components of the surface energy balance are treated separately. Actual evapotranspiration estimates by means of the two surface energy balance models have been compared vs. the outputs of the agro-hydrological SWAP model, which was applied in a spatially distributed way to simulate one-dimensional water flow in the soil-plant-atmosphere continuum. Remote sensing data in the VIS and NIR spectral ranges have been used to infer spatially distributed vegetation parameters needed to Airborne hyperspectral data acquired during a NERC (Natural Environment Research Council, UK) campaign in 2005 have been used. The results of this investigation seem to prove a slightly better agreement between SWAP and TSEB for some fields of the study area. Further investigations are programmed in order to confirm these indications.

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Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment

Cited by 112 publications

References 13 publications

An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India

An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India

Evapotranspiration from Remote Sensing to Improve the Swat Model in Eastern Amazonia

Estimation of actual evapotranspiration of Mediterranean perennial crops by means of remote-sensing based surface energy balance models

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