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Abstract

Dynamics of landscape features can significantly affect ecohydrological processes with strong connection to the fluxes of water, energy, and mass (pollutants and sediment). Knowledge of the spatial variability of these landscape variables is useful information in understanding how landscape patterns are related to hydrological variables including soil moisture, runoff, evapotranspiration, and groundwater flow. Among other environment parameters, topography is a determinant for magnitudes and spatial distributions of water and energy fluxes over natural landscapes.

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References

  • Bastiaanssen WGM (2000) SEBAL-based sensible and latent heat fluxes in the irrigated ediz Basin, Turkey. J Hydrol 229:87–100

    Article  Google Scholar 

  • French AN, Schmugge TJ, Kustas WP (2000) Estimating surface fluxes over the SGP site with remotely sensed data. Phys Chem Earth 25(2):167–172

    Article  Google Scholar 

  • Hemakumara HM, Chandrapala L, Moene AF (2003) Evapotranspiration fluxes over mixed vegetation areas measured from large aperture scintillometer. Agric Water Manag 58(2):109–122

    Article  Google Scholar 

  • Herzog T (2009) World greenhouse gas emissions in 2005. World Resources Institute

    Google Scholar 

  • Hou J, Fu B, Liu Y, Lu N, Gao G, Zhou J (2014) Ecological and hydrological response of farmlands abandoned for different lengths of time: evidence from the Loess Hill Slope of China. Global Planet Change 113:59–67

    Article  Google Scholar 

  • Kustas WP, Li F, Jackson TJ, Prueger JH, MacPherson JI, Wolde M (2004) Effects of remote sensing pixel resolution on modeled energy flux variability of croplands in Iowa. Remote Sens Environ 92(4):535–547

    Article  Google Scholar 

  • Kustas WP (1990) Estimates of evapotranspiration with a one-and two-layer model of eat transfer over partial canopy cover. J Appl Meteorol 29:704–715

    Article  Google Scholar 

  • Kustas WP, Perry EM, Doraiswamy PC, Moran MS (1994) Using satellite remote sensing to extrapolate evapotranspiration estimates in time and space over a semiarid Rangeland basin. Remote Sens Environ 49(3):275–286

    Article  Google Scholar 

  • Kustas WP, Norman J (1999) Evaluation of soil and vegetation heat flux predictions using simple two-source model with radiometric temperatures for partial canopy cover. Agric For Meteorol 94:13–29

    Article  Google Scholar 

  • Loiselle S, Bracchini L, Bonechi C, Rossi C (2001) Modeling energy fluxes in remote wetland ecosystems with the help of remote sensing. Ecol Model 45(2):243–261

    Article  Google Scholar 

  • Melesse A, Nangia V (2005) Spatially distributed surface energy flux estimation using remotely-sensed data from agricultural fields. Hydrol Process 19(14):2653–2670

    Article  Google Scholar 

  • Melesse A, Oberg J, Beeri O, Nangia V, Baumgartner D (2006) Spatiotemporal dynamics of evapotranspiration and vegetation at the Glacial Ridge prairie restoration. Hydrol Process 20(7):1451–1464

    Article  Google Scholar 

  • Melesse A, Nangia V, Wang X, McClain M (2007) Wetland restoration response analysis using MODIS and groundwater data. Special Issue: Remote Sens Nat Resour Environ Sens 7:1916–1933

    Google Scholar 

  • Melesse AM, Frank A, Nangia V, Liebig M, Hanson J (2008)  Analysis of energy fluxes and land surface parameters in grassland ecosystem: remote sensing perspective. Int J Remote Sens 29(11): 3325–3341

    Google Scholar 

  • Mohamed YA, Bastiaanssen WGM, Savenije HHG (2004) Spatial variability of evaporation and moisture storage in the swamps of the upper Nile studied by remote sensing techniques. J Hydrol 289:145–164

    Article  Google Scholar 

  • Oberg J, Melesse AM (2006) Evapotranspiration dynamics at an ecohydrological restoration site: an energy balance and remote sensing approach. J Am Water Resour Assoc 42(3): 565–582

    Google Scholar 

  • Popp A, Vogel M, et al (2009) Scaling up ecohydrological processes: role of surface water flow inwater-limited landscapes. J Geophys Res Biogeosci:114

    Google Scholar 

  • Porter G, Brown JW (1991) Global environmental politics. Westview Press, Boulder

    Google Scholar 

  • Shi ZH, Ai L et al (2013) Partial least-squares regression for linking land-cover patterns to soil erosion and sediment yield in watersheds. J Hydrol 498:165–176

    Article  Google Scholar 

  • Taha H (1997) urban climates and heat islands: albedo, evapotranspiration and anthropogenic heat. Energy Build 25:99–103

    Article  Google Scholar 

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Correspondence to Assefa M. Melesse .

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Melesse, A.M., Abtew, W. (2016). Introduction. In: Melesse, A., Abtew, W. (eds) Landscape Dynamics, Soils and Hydrological Processes in Varied Climates. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-319-18787-7_1

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