Relevant bibliographies by topics / Soil Organic Carbon model calibration

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers
Reports

Academic literature on the topic 'Soil Organic Carbon model calibration'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Soil Organic Carbon model calibration.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Soil Organic Carbon model calibration"

Hedley, C. B., I. J. Payton, I. H. Lynn, S. T. Carrick, T. H. Webb, and S. McNeill. "Random sampling of stony and non-stony soils for testing a national soil carbon monitoring system." Soil Research 50, no. 1 (2012): 18. http://dx.doi.org/10.1071/sr11171.

Full text

Abstract:

The New Zealand Soil Carbon Monitoring System (Soil CMS) was designed, and has been used, to account for soil organic carbon change under land-use change, during New Zealand’s first Commitment Period (2008–2012) to the Kyoto Protocol. The efficacy of the Soil CMS model has been tested for assessing soil organic carbon stocks in a selected climate–land-use–soil grouping (cell). The cell selected for this test represents an area of 709 683 ha and contains soils with a high-activity clay mineralogy promoting long-term stabilisation of organic matter, and is under low-producing grassland in a dry

APA, Harvard, Vancouver, ISO, and other styles

Jafarov, Elchin E., Hélène Genet, Velimir V. Vesselinov, et al. "Estimation of above- and below-ground ecosystem parameters for DVM-DOS-TEM v0.7.0 using MADS v1.7.3." Geoscientific Model Development 18, no. 12 (2025): 3857–75. https://doi.org/10.5194/gmd-18-3857-2025.

Full text

Abstract:

Abstract. The permafrost region contains a significant portion of the world's soil organic carbon, and its thawing, driven by accelerated Arctic warming, could lead to substantial release of greenhouse gases, potentially disrupting the global climate system. Accurate predictions of carbon cycling in permafrost ecosystems hinge on the robust calibration of model parameters. However, manually calibrating numerous parameters in complex process-based models is labor-intensive and is complicated further by equifinality – the presence of multiple parameter sets that can equally fit the observed data

APA, Harvard, Vancouver, ISO, and other styles

Mäkelä, Jarmo, Laura Arppe, Hannu Fritze, et al. "Implementation and initial calibration of carbon-13 soil organic matter decomposition in the Yasso model." Biogeosciences 19, no. 17 (2022): 4305–13. http://dx.doi.org/10.5194/bg-19-4305-2022.

Full text

Abstract:

Abstract. Soils account for the largest share of carbon found in terrestrial ecosystems, and their status is of considerable interest for the global carbon cycle budget and atmospheric carbon concentration. The decomposition of soil organic matter depends on environmental conditions and human activities, which raises the question of how permanent are these carbon storages under changing climate. One way to get insight into carbon decomposition processes is to analyse different carbon isotope concentrations in soil organic matter. In this paper we introduce a carbon-13-isotope-specific soil org

APA, Harvard, Vancouver, ISO, and other styles

Nielsen, Claudia Kalla, and Anton Gårde Thomsen. "Local Calibration of TDR Measurements for Determining Water and Organic Carbon Contents of Peaty Soils." Soil Systems 7, no. 1 (2023): 10. http://dx.doi.org/10.3390/soilsystems7010010.

Full text

Abstract:

Time domain reflectometry (TDR) measurements of the volumetric water content (θ) of soils are based on the dielectric permittivity (ε), relating ε to θ, using an empirical calibration function. Accurate determination of θ for peaty soils is vital but complicated by the complexity of organic soils and the lack of a general calibration model. Site-specific calibration models were developed to determine θ from TDR measurements for a heterogenous peatland across gradients of peat decomposition and organic carbon (OC) content; derived by soil organic matter conversion. The possibility of predicting

APA, Harvard, Vancouver, ISO, and other styles

Viskari, Toni, Janne Pusa, Istem Fer, Anna Repo, Julius Vira, and Jari Liski. "Calibrating the soil organic carbon model Yasso20 with multiple datasets." Geoscientific Model Development 15, no. 4 (2022): 1735–52. http://dx.doi.org/10.5194/gmd-15-1735-2022.

Full text

Abstract:

Abstract. Soil organic carbon (SOC) models are important tools for assessing global SOC distributions and how carbon stocks are affected by climate change. Their performances, however, are affected by data and methods used to calibrate them. Here we study how a new version of the Yasso SOC model, here named Yasso20, performs if calibrated individually or with multiple datasets and how the chosen calibration method affects the parameter estimation. We also compare Yasso20 to the previous version of the Yasso model. We found that when calibrated with multiple datasets, the model showed a better

APA, Harvard, Vancouver, ISO, and other styles

Robinson, Nathan, and Kurt Benke. "Analysis of Uncertainty in the Depth Profile of Soil Organic Carbon." Environments 10, no. 2 (2023): 29. http://dx.doi.org/10.3390/environments10020029.

Full text

Abstract:

The soil organic carbon (SOC) depth profile provides information for many applications, including monitoring climate change, carbon sequestration, reforestation, and land erosion. Models of the SOC profile support data interpolation, trend analysis, and carbon mapping, and can be used in larger pedometric models in support of carbon farming. Model errors may be due to statistical variability in discrete data and the limited sample size available for model calibration. Uncertainties in the model can arise from a process of iterative parameter adjustment and can be estimated by gradient-based me

APA, Harvard, Vancouver, ISO, and other styles

Skjemstad, J. O., L. R. Spouncer, B. Cowie, and R. S. Swift. "Calibration of the Rothamsted organic carbon turnover model (RothC ver. 26.3), using measurable soil organic carbon pools." Soil Research 42, no. 1 (2004): 79. http://dx.doi.org/10.1071/sr03013.

Full text

Abstract:

A fractionation scheme that provided the measurement of a labile pool (particulate organic carbon), a charcoal-carbon pool, and a humic pool by difference was tested as a means of initialising the Rothamsted organic carbon turnover model version 26.3. Equating these 3 fractions with the resistant plant material, inert organic matter, and humic pools of the model, respectively, gave good agreement between measured and modelled data for 2 long-term rotation trials in Australia using a soil depth of 30 cm. At one location, Brigalow Research Station in Queensland, there were 3 distinct soil types,

APA, Harvard, Vancouver, ISO, and other styles

Yu, Y. Y., P. A. Finke, H. B. Wu, and Z. T. Guo. "Sensitivity analysis and calibration of a soil carbon model (SoilGen2) in two contrasting loess forest soils." Geoscientific Model Development 6, no. 1 (2013): 29–44. http://dx.doi.org/10.5194/gmd-6-29-2013.

Full text

Abstract:

Abstract. To accurately estimate past terrestrial carbon pools is the key to understanding the global carbon cycle and its relationship with the climate system. SoilGen2 is a useful tool to obtain aspects of soil properties (including carbon content) by simulating soil formation processes; thus it offers an opportunity for both past soil carbon pool reconstruction and future carbon pool prediction. In order to apply it to various environmental conditions, parameters related to carbon cycle process in SoilGen2 are calibrated based on six soil pedons from two typical loess deposition regions (Be

APA, Harvard, Vancouver, ISO, and other styles

Yu, Y. Y., P. A. Finke, H. B. Wu, and Z. T. Guo. "Sensitivity analysis and calibration of a soil carbon model (SoilGen2) in two contrasting loess forest soils." Geoscientific Model Development Discussions 5, no. 3 (2012): 1817–49. http://dx.doi.org/10.5194/gmdd-5-1817-2012.

Full text

Abstract:

Abstract. To accurately estimate past terrestrial carbon pools is the key to understand the global carbon cycle and its relationship with the climate system. SoilGen2 is a useful tool to obtain aspects of soil properties (including carbon content) by simulating soil formation processes; thus it offers an opportunity for past soil carbon pool reconstruction. In order to apply it to various environmental conditions, parameters related to carbon cycle process in SoilGen2 are calibrated based on 6 soil pedons from two typical loess deposition regions (Belgium and China). Sensitivity analysis using

APA, Harvard, Vancouver, ISO, and other styles

Guy, Amanda L., Steven D. Siciliano, and Eric G. Lamb. "Spiking regional vis-NIR calibration models with local samples to predict soil organic carbon in two High Arctic polar deserts using a vis-NIR probe." Canadian Journal of Soil Science 95, no. 3 (2015): 237–49. http://dx.doi.org/10.4141/cjss-2015-004.

Full text

Abstract:

Guy, A. L., Siciliano, S. D. and Lamb, E. G. 2015. Spiking regional vis-NIR calibration models with local samples to predict soil organic carbon in two High Arctic polar deserts using a vis-NIR probe. Can. J. Soil Sci. 95: 237–249. In situ visible and near-infrared (vis-NIR) spectroscopy is a potential solution to the logistic constraints limiting the accuracy and spatial resolution of soil organic carbon (SOC) estimates for Arctic regions. The objective of our study was to develop a calibration model based on field-condition soils for in situ applications to predict SOC in High Arctic polar d

APA, Harvard, Vancouver, ISO, and other styles

More sources

Dissertations / Theses on the topic "Soil Organic Carbon model calibration"

Karunaratne, Senani Bandara. "Modelling soil organic Carbon in space and time." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/10289.

Full text

Abstract:

In recent times there is an increasing interest in the quantification of the variation in soil organic carbon (SOC) in space and time. Quantification of this variation is important since SOC is important for many soil physical, chemical and biological properties and soil processes which lead to sustainable crop production in agricultural soil. In addition, SOC also helps to reduce the impacts of climatic change if it can be stored in soil for the long term in what is called “soil carbon sequestration”. The focus of the work included in this thesis is to model the space and time variation usi

APA, Harvard, Vancouver, ISO, and other styles

Shahid, Syeda Rubyat. "Simulating changes in soil organic carbon in Bangaladesh with the denitrification-decomposition (DNDC) model." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=107848.

Full text

Abstract:

Developed countries' growing awareness of greenhouse gas (CO2, CH4, N2O) emissions from agricultural soils has led to an increased interest in the management of soil organic matter (SOM), which now extends to developing countries, including Bangladesh. Bangladeshi agriculture follows a largely rice-based cropping rotation, for which insufficient site-specific information regarding gas emissions exists to identify temporal variability of SOM content. The objective of this study was to evaluate the applicability of the 'Denitrification-Decomposition' model (DNDC, version 9.3) as a tool to better

APA, Harvard, Vancouver, ISO, and other styles

Hammoudi, Alaaeddine. "Modeling and mathematical analysis of the dynamics of soil organic carbon." Thesis, Montpellier, 2015. http://www.theses.fr/2015MONTS205/document.

Full text

Abstract:

La compréhension du cycle de la matière organique du sol (MOS) est un outil majeur dans la lutte contre le réchauffement climatique, la préservation de la biodiversité ainsi que dans la consolidation de la sécurité alimentaire. Dans ce contexte, cette thèse porte sur la modélisation et l'analyse mathématique de modèles de la dynamique du carbone organique dans le sol.Dans le chapitre 2, nous avons étudié la robustesse et les propriétés mathématiques d'un modèle non linéaire (MOMOS). Nous avons montré que si les données sont périodiques nous obtenons l'existence d'une solution périodique attrac

APA, Harvard, Vancouver, ISO, and other styles

Orlando, Federico. "A system dynamic model to assess exploitability of agricultural residues and effects on soil organic carbon." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17415/.

Full text

Abstract:

Bio-based products are made from organic materials; the use of crop residues eliminates the competition with the food sector and lowers the costs. However, crop residues are also an important input of organic carbon in the soil, and are, therefore, important to maintain soil quality and productivity levels. The aim of this thesis is to evaluate the variation of Soil Organic Carbon (SOC) based on the amount of agricultural residues extracted during harvesting, by use of a dynamic model. To do so, a System Dynamic model of the turnover of C in soils, based on the RothC model, was implemented. T

APA, Harvard, Vancouver, ISO, and other styles

TADIELLO, TOMMASO. "CARBON SEQUESTRATION UNDER CONSERVATION AGRICULTURE STUDY AND MODELLING OF CARBON DYNAMIC." Doctoral thesis, Università degli Studi di Milano, 2022. https://hdl.handle.net/2434/949412.

Full text

Abstract:

This work aims to improve the existing modelling tools that allow quantifying and evaluating the CA impact on SOC sequestration with a specific link to the ARMOSA cropping system model. This model is a versatile tool to represent the carbon and nitrogen fluxes and the influence of high levels of agroecosystem processes varying in response to agricultural management and pedoclimatic conditions. To define which conservation agriculture practices impact the most on SOC sequestration and to quantify their single impact I reviewed the previous scientific research published between 1998 and 2020 w

APA, Harvard, Vancouver, ISO, and other styles

Ma, Yuxin. "Empirical and Mechanistic Modelling for Process Understanding in Digital Soil Mapping." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21413.

Full text

Abstract:

Empirical prediction of soil properties coupled with an understanding of soil processes, can uncover the complexity of the soil system. Digital soil mapping (DSM) has revolutionized the way soil information is delivered. While empirical DSM has greatly improved the quantitative prediction, we should be able to incorporate our physical and mechanistic understanding of the processes. Likewise, we should be able to use empirical knowledge to inform process-based models. This thesis delivers mechanistic and empirical models to improve the understanding of soil genesis and mapping of soil functiona

APA, Harvard, Vancouver, ISO, and other styles

Kuang, Boyan Y. "On-line measurement of some selected soil properties for controlled input crop management systems." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7939.

Full text

Abstract:

The evaluation of the soil spatial variability using a fast, robust and cheap tool is one of the key steps towards the implementation of Precision Agriculture (PA) successfully. Soil organic carbon (OC), soil total nitrogen (TN) and soil moisture content (MC) are needed to be monitored for both agriculture and environmental applications. The literature has proven that visible and near infrared (vis-NIR) spectroscopy to be a quick, cheap and robust tool to acquire information about key soil properties simultaneously with relatively high accuracy. The on-line vis-NIR measurement accuracy depends

APA, Harvard, Vancouver, ISO, and other styles

Barkle, Gregory Francis. "The fate of carbon and nitrogen from an organic effluent irrigated onto soil : process studies, model development and testing." Lincoln University, 2001. http://hdl.handle.net/10182/1959.

Full text

Abstract:

The fate of the carbon and nitrogen in dairy farm effluent (DFE) applied onto soil was investigated through laboratory experiments and field lysimeter studies. They resulted in the development and testing of a complex carbon (C) and nitrogen (N) simulation model (CaNS-Eff) of the soil-plant-microbial system. To minimise the risk of contamination of surface waters, regulatory authorities in New Zealand promote irrigation onto land as the preferred treatment method for DFE. The allowable annual loading rates for DFE, as defined in statutory regional plans are based on annual N balance calculati

APA, Harvard, Vancouver, ISO, and other styles

Mulumba, Lukman Nagaya. "Land use effects on soil quality and productitivity in the Lake Victoria Basin of Uganda." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1095711869.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Nemoto, Rie. "Soil organic carbon (SOC) now and in the future. Effect of soil characteristics and agricultural management on SOC and model initialisation methods using recent SOC data." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2013. http://tel.archives-ouvertes.fr/tel-00973853.

Full text

Abstract:

Soil organic carbon (SOC) concentrations and greenhouse gas (GHG) emissions are not uniform across the landscape, but assemble in "hotspots" in specific areas. These differences are mainly driven by human-induced activities such as agricultural management. 40-50% of the Earth's land surface is under agricultural land-use, for instance cropland, managed grassland and permanent crops including agro-forestry and bio-energy crops. Furthermore, 62% of the global soil C stock is SOC and the soil stores more than 3 times more C than the atmosphere. Thus, C sequestration in agricultural soil has a pot

APA, Harvard, Vancouver, ISO, and other styles

More sources

Books on the topic "Soil Organic Carbon model calibration"

United States. Natural Resources Conservation Service., ed. Model simulation of soil loss, nutrient loss, and change in soil organic carbon associated with crop production. U.S. Dept. of Agriculture, Natural Resources Conservation Service, 2006.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

Find full text

APA, Harvard, Vancouver, ISO, and other styles

United States. Natural Resources Conservation Service, ed. Model simulation of soil loss, nutrient loss, and change in soil organic carbon associated with crop production. U.S. Dept. of Agriculture, Natural Resources Conservation Service, 2006.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Soil Organic Carbon model calibration"

Coleman, K., and D. S. Jenkinson. "RothC-26.3 - A Model for the turnover of carbon in soil." In Evaluation of Soil Organic Matter Models. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61094-3_17.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Mueller, T., L. S. Jensen, S. Hansen, and N. E. Nielsen. "Simulating soil carbon and nitrogen dynamics with the soil-plant-atmosphere system model DAISY." In Evaluation of Soil Organic Matter Models. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61094-3_22.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Santore, Robert C., Charles T. Driscoll, and Michael Aloi. "A Model of Soil Organic Matter and its Function in Temperate Forest Soil Development." In Carbon Forms and Functions in Forest Soils. Soil Science Society of America, 2006. http://dx.doi.org/10.2136/1995.carbonforms.c13.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Didion, Markus, and Jürgen Zell. "Model of Carbon Cycling in Dead Organic Matter and Soil (Yasso07)." In Swiss National Forest Inventory – Methods and Models of the Fourth Assessment. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19293-8_18.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Christensen, Bent T. "Matching Measurable Soil Organic Matter Fractions with Conceptual Pools in Simulation Models of Carbon Turnover: Revision of Model Structure." In Evaluation of Soil Organic Matter Models. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61094-3_11.

Full text

APA, Harvard, Vancouver, ISO, and other styles

VandenBygaart, A. J., E. G. Gregorich, D. A. Angers, M. A. Bolinder, H. H. Janzen, and C. A. Campbell. "Modeling Soil Organic Carbon Change in Canadian Agroecosystems: Testing the Introductory Carbon Balance Model." In SSSA Special Publications. American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub57.2ed.c2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Wang, Yong, Fugen Dou, Joseph O. Storlien, et al. "Simulating Impacts of Bioenergy Sorghum Residue Return on Soil Organic Carbon and Greenhouse Gas Emissions Using the DAYCENT Model." In Progress in Soil Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43394-3_15.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Stepanchenko, Olha, Liubov Shostak, Viktor Moshynskyi, Olena Kozhushko, and Petro Martyniuk. "Simulating Soil Organic Carbon Turnover with a Layered Model and Improved Moisture and Temperature Impacts." In Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16203-9_5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Zhang, Bei, and Sabine Grunwald. "Spatial Assessment of Soil Organic Carbon Using Bayesian Maximum Entropy and Partial Least Square Regression Model." In Springer Environmental Science and Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0415-5_12.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Xu, Minggang G., Jinzhou Z. Wang, and Chang’ai A. Lu. "Soil Organic Carbon Sequestration Under Long-Term Manure and Straw Fertilization in North and Northeast China by RothC Model Simulation." In Functions of Natural Organic Matter in Changing Environment. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5634-2_74.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Soil Organic Carbon model calibration"

Guo, Yan, Jia He, Zili Chen, et al. "Exploration of the primary controlling factors of soil organic carbon in agricultural land based on the CatBoost model and multisource data." In Second International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2025), edited by Fabio Tosti and Román Alvarez. SPIE, 2025. https://doi.org/10.1117/12.3067572.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Nešić, Srdjan, Hui Li, Jing Huang, and Dusan Sormaz. "An Open Source Mechanistic Model for CO2 / H2S Corrosion of Carbon Steel." In CORROSION 2009. NACE International, 2009. https://doi.org/10.5006/c2009-09572.

Full text

Abstract:

Abstract A mechanistic model is developed to predict the corrosion rate caused by CO2, H2S, organic acids and/or O2. The aim of this model was to provide the corrosion community with a theoretically sound, simple and effective corrosion model for internal corrosion of mild steel lines. This model is available in the open literature and can be easily accessed on the internet. All the background information, including theories behind, data used for calibration, limitations, etc. is shared with users. In addition, the source code of the model, which has been written in object-oriented fashion, is

APA, Harvard, Vancouver, ISO, and other styles

Abodeely, Jared M., David J. Muth, Joshua Koch, and Kenneth M. Bryden. "An Integrated Model Approach for Quantifying Carbon Emissions From Residue-Based Biofuel Production." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13491.

Full text

Abstract:

This paper presents an agricultural residue removal decision framework that couples the environmental process models WEPS, RUSLE2, SCI, and DAYCENT. One of the goals of this integrated model is to quantify the impacts of land management strategies on soil organic carbon and CO2 emissions. Soil, climate, and land management practices are considered in determining sustainable residue removal rates using wind- and water-induced soil erosion and qualitative soil organic carbon constraints and to quantify the long-term impacts of sustainable residue removal on soil organic carbon and greenhouse gas

APA, Harvard, Vancouver, ISO, and other styles

"A framework for the fusion of earth observation and soil data to constrain soil organic carbon model parameters." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.ugbaje.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Xiaojia Li, Xianzhou Zhang, Yuping Zhao, et al. "Dynamics of soil organic carbon in alpine meadow of Tibetan Plateau with CENTURY model." In 2011 International Conference on Business Management and Electronic Information (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/icbmei.2011.5921085.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Wang, Deying, Yanmin Yao, Haiqing Si, Wenju Zhang, and Huajun Tang. "Simulation and prediction of soil organic carbon spatial change in arable lands based on DNDC model." In 2014 Third International Conference on Agro-Geoinformatics. IEEE, 2014. http://dx.doi.org/10.1109/agro-geoinformatics.2014.6910583.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Gahwagy, Rana, Vivienne Maxwell, Gregory de Wet, and Sara Stoudt. "TOWARDS A UNIVERSAL CALIBRATION MODEL TO PREDICT BIOGENIC SILICA AND ORGANIC CARBON PERCENTAGES IN LACUSTRINE SEDIMENT CORE SAMPLES." In Northeastern Section - 57th Annual Meeting - 2022. Geological Society of America, 2022. http://dx.doi.org/10.1130/abs/2022ne-374865.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Gras, A., and M. Ginovart. "INDISIM-SOM, An Individual-Based Model To Study Shortterm Evolutions Of Carbon And Nitrogen Pools Related To Microbial Activity In Soil Organic Matter." In 20th Conference on Modelling and Simulation. ECMS, 2006. http://dx.doi.org/10.7148/2006-0554.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Gopp, N., and T. Nechaeva. "DIGITAL MAPPING OF ORGANIC CARBON CONTENT AND STOCKS IN SOILS ON THE SLOPE (USING THE EXAMPLE OF A KEY SITE IN THE CIS-SALAIR DRAINED PLAIN)." In «PROBLEMS OF SOIL FERTILITY IN MODERN AGRICULTURE». Krasnoyarsk Scientific Research Institute of Agriculture is a separate division of the Federal Research Center KSC SB RAS, 2024. http://dx.doi.org/10.52686/9785605087878_403.

Full text

Abstract:

Digital mapping of the content and stock of soil organic carbon (SOC) in the arable layer (0–30 cm) of soils based on a set of geospatial data characterizing soil formation factors was carried out on the territory of the Cis-Salair drained plain . For comparison, maps of the content of the SOC were compiled on the basis of various sets of geospatial data (selected according to the correlation table): 1) BIO11+RVI; 2) Longitude+CNBL; 2) CAT10+KK+Texture. The modeling method is multiple linear regression. The result of modeling of the SOC content with the data set (CAT10+KK+Texture) according to

APA, Harvard, Vancouver, ISO, and other styles

Melniks, Raitis, Janis Ivanovs, and Andis Lazdins. "Machine learning based classification of peat layer thickness in Latvia using national forest inventory data." In Research for Rural Development 2024 : annual 30th international scientific conference. Latvia University of Life Sciences and Technologies, 2024. https://doi.org/10.22616/rrd.30.2024.047.

Full text

Abstract:

This study investigates the distribution and carbon content of organic soils in Latvia, leveraging machine learning techniques alongside remote sensing and National Forest Inventory (NFI) data to enhance the precision of organic soil mapping. Our approach integrates data from various sources, including airborne laser scanning (ALS) data, digital elevation models (DEM), depth-to-water (DTW) and wet area maps (WAM), and historical organic soil data. By classifying over 24,000 soil probing measurements across Latvia into distinct peat layer thickness categories, we develop a machine learning mode

APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Soil Organic Carbon model calibration"

Walthert, Lorenz, Douglas R. Cobos, and Patrick Schleppi. Technical report. Equations for improving the accuracy of Decagon MPS-2 matric potential readings in dry soils. Swiss Federal Institute for Forest, Snow and Landscape Research, WSL, 2023. http://dx.doi.org/10.55419/wsl:33724.

Full text

Abstract:

Soil matric potential quantifies water availability in soils. Low soil matric potentials are difficult to measure with most in situ techniques. This is also the case for the widely-used dielectric MPS-2 sensor. This probe determines matric potential indirectly from the measured water content in its porous sensor ceramics using dielectric permittivity as a proxy for water content. The accuracy of MPS-2 readings was analyzed in desiccation experiments using 13 soils with different texture and organic carbon content and a WP4C dewpoint potentiometer as reference instrument. Further, it was explor

APA, Harvard, Vancouver, ISO, and other styles

VanderGheynst, Jean, Michael Raviv, Jim Stapleton, and Dror Minz. Effect of Combined Solarization and in Solum Compost Decomposition on Soil Health. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7594388.bard.

Full text

Abstract:

In soil solarization, moist soil is covered with a transparent plastic film, resulting in passive solar heating which inactivates soil-borne pathogen/weed propagules. Although solarization is an effective alternative to soil fumigation and chemical pesticide application, it is not widely used due to its long duration, which coincides with the growing season of some crops, thereby causing a loss of income. The basis of this project was that solarization of amended soil would be utilized more widely if growers could adopt the practice without losing production. In this research we examined three

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!