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Relevant bibliographies by topics / Soil surface parameter

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Journal articles

Academic literature on the topic 'Soil surface parameter'

Author: Grafiati

Published: 16 June 2023

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Journal articles on the topic "Soil surface parameter"

1

Schreiner, Simon, Dubravko Culibrk, Michele Bandecchi, Wolfgang Gross, and Wolfgang Middelmann. "Soil monitoring for precision farming using hyperspectral remote sensing and soil sensors." at - Automatisierungstechnik 69, no. 4 (2021): 325–35. http://dx.doi.org/10.1515/auto-2020-0042.

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Abstract This work describes an approach to calculate pedological parameter maps using hyperspectral remote sensing and soil sensors. These maps serve as information basis for automated and precise agricultural treatments by tractors and field robots. Soil samples are recorded by a handheld hyperspectral sensor and analyzed in the laboratory for pedological parameters. The transfer of the correlation between these two data sets to aerial hyperspectral images leads to 2D-parameter maps of the soil surface. Additionally, rod-like soil sensors provide local 3D-information of pedological parameter

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2

Dumbrovský, Miroslav, Ivana Kameníčková, Jana Podhrázská, František Pavlík, and Veronika Sobotková. "Evaluation of soil conservation technologies from the perspective of selected physical soil properties and infiltration capacity of the soil." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 59, no. 1 (2011): 37–48. http://dx.doi.org/10.11118/actaun201159010037.

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This paper evaluates different technologies of soil cultivation (conventional and minimization) in terms of physical properties and water regime of soils, where infiltration of surface water is a major component of subsurface water. Soil physical properties (the current humidity, reduced bulk density, porosity, water retention capacity of soil, pore distribution and soil aeration) is determined from soil samples taken from the organic horizon according to standard methodology. To observe the infiltration characteristics of surface layers of topsoil, the drench method (double ring infiltrometer

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3

Marthews, T. R., C. A. Quesada, D. R. Galbraith, et al. "High-resolution hydraulic parameter maps for surface soils in tropical South America." Geoscientific Model Development 7, no. 3 (2014): 711–23. http://dx.doi.org/10.5194/gmd-7-711-2014.

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Abstract. Modern land surface model simulations capture soil profile water movement through the use of soil hydraulics sub-models, but good hydraulic parameterisations are often lacking, especially in the tropics. We present much-improved gridded data sets of hydraulic parameters for surface soil for the critical area of tropical South America, describing soil profile water movement across the region to 30 cm depth. Optimal hydraulic parameter values are given for the Brooks and Corey, Campbell, van Genuchten–Mualem and van Genuchten–Burdine soil hydraulic models, which are widely used hydraul

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4

Marthews, T. R., C. A. Quesada, D. R. Galbraith, et al. "High-resolution hydraulic parameter maps for surface soils in tropical South America." Geoscientific Model Development Discussions 6, no. 4 (2013): 6741–74. http://dx.doi.org/10.5194/gmdd-6-6741-2013.

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Abstract. Modern land surface model simulations capture soil profile water movement through the use of soil hydraulics sub-models, but good hydraulic parameterisations are often lacking, especially in the tropics. We present much-improved gridded datasets of hydraulic parameters for surface soil for the critical area of tropical South America, describing soil profile water movement across the region to 30 cm depth. Optimal hydraulic parameter values are given for the Brooks and Corey, Campbell, van Genuchten–Mualem and van Genuchten–Burdine soil hydraulic models, which are widely-used hydrauli

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5

Mohanty, Binayak P., and Jianting Zhu. "Effective Hydraulic Parameters in Horizontally and Vertically Heterogeneous Soils for Steady-State Land–Atmosphere Interaction." Journal of Hydrometeorology 8, no. 4 (2007): 715–29. http://dx.doi.org/10.1175/jhm606.1.

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Abstract In this study, the authors investigate effective soil hydraulic parameter averaging schemes for steady-state flow in heterogeneous shallow subsurfaces useful to land–atmosphere interaction modeling. “Effective” soil hydraulic parameters of the heterogeneous shallow subsurface are obtained by conceptualizing the soil as an equivalent homogeneous medium. It requires that the effective homogeneous soil discharges the same mean surface moisture flux (evaporation or infiltration) as the heterogeneous media. Using the simple Gardner unsaturated hydraulic conductivity function, the authors d

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6

Fang, Xu, Anna Muntwyler, Pascal Schneider, et al. "Exploring Key Soil Parameters Relevant to Arsenic and Cadmium Accumulation in Rice Grain in Southern China." Soil Systems 6, no. 2 (2022): 36. http://dx.doi.org/10.3390/soilsystems6020036.

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Paddy soils in some areas of southern China are contaminated by arsenic (As) and cadmium (Cd), threatening human health via the consumption of As- and/or Cd-tainted rice. To date, a quantitative understanding of how soil characteristics control As and Cd accumulation in rice grains under field conditions is still deficient. Based on 31 paired soil-grain samples collected in southern China, we statistically explored which soil parameter or parameter combination from various soil analyses best estimates As and Cd in rice. We found that CaCl2 extraction of field-moist soil collected at rice harve

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7

Nie, S., J. Zhu, and Y. Luo. "Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: idealized twin experiments." Hydrology and Earth System Sciences Discussions 8, no. 1 (2011): 1433–68. http://dx.doi.org/10.5194/hessd-8-1433-2011.

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Abstract. The performance of the ensemble Kalman filter (EnKF) in soil moisture assimilation applications is investigated in the context of simultaneous state-parameter estimation in the presence of uncertainties from model parameters, initial soil moisture condition and atmospheric forcing. A physically-based land surface model is used for this purpose. Using a series of idealized twin experiments, model generated near-surface soil moisture observations are assimilated to estimate soil moisture state and three hydraulic parameters (the saturated hydraulic conductivity, the saturated soil mois

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8

ZHENG, Xingming, Kai ZHAO, and Xiaojie LI. "Accuracy Analysis of Agriculture Soil Surface Roughness Parameter." Journal of Geo-information Science 15, no. 5 (2013): 752. http://dx.doi.org/10.3724/sp.j.1047.2013.00752.

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9

Lehrsch, G. A., F. D. Whisler, and M. J. M. Römkens. "Selection of a Parameter Describing Soil Surface Roughness." Soil Science Society of America Journal 52, no. 5 (1988): 1439–45. http://dx.doi.org/10.2136/sssaj1988.03615995005200050044x.

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10

Nie, S., J. Zhu, and Y. Luo. "Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: identical twin experiments." Hydrology and Earth System Sciences 15, no. 8 (2011): 2437–57. http://dx.doi.org/10.5194/hess-15-2437-2011.

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Abstract. The performance of the ensemble Kalman filter (EnKF) in soil moisture assimilation applications is investigated in the context of simultaneous state-parameter estimation in the presence of uncertainties from model parameters, soil moisture initial condition and atmospheric forcing. A physically based land surface model is used for this purpose. Using a series of identical twin experiments in two kinds of initial parameter distribution (IPD) scenarios, the narrow IPD (NIPD) scenario and the wide IPD (WIPD) scenario, model-generated near surface soil moisture observations are assimilat

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