Digital Soil Mapping
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Digital Mapping of Soil Properties in the Western-Facing Slope of Jabal
JJEES (2020) 11 (3): 193-201 JJEES ISSN 1995-6681 Jordan Journal of Earth and Environmental Sciences Digital Mapping of Soil Properties in the Western-Facing Slope of Jabal Al-Arab at Suwaydaa Governorate, Syria Alaa Khallouf 1,4, Sami AlHinawi2, Wassim AlMesber3, Sameer Shamsham4,Younis Idries5 1General Commission for Scientific Agricultural Research (GCSAR), Damascus, Syria 2Suwayda Research Center- GCSAR, Suwayda, Syria 3Damascus University, Faculty of Agriculture, Department of Soil Science, Syria 4Al-Baath University, Faculty of Agriculture, Department of Soil and Land reclamation, Syria 5General Organization of Remote Sensing (GORS), Syria Received 28 December 2019; Accepted 10 April 2020 Abstract Digital soil mapping has been increasingly used to produce statistical models of the relationships between environmental variables and soil properties. This study aimed at determining and representing the spatial distribution of the variability in soil properties of western face-sloping of Jabal Al-Arab, Suwaydaa governorate. pH, organic matter (OM), total nitrogen (N), phosphorus (P, as P2O5), potassium (K, as K2O), iron (Fe), boron (B) and zinc (Zn) were studied, thus, Forty-five surface soil samples (0 to 30 cm) were collected and analyzed. Descriptive statistics demonstrated that most of the measured soil variables (except pH, P2O5, and Zn) were skewed and ab-normally distributed, and logarithmic transformation was then applied. Kriging was used- as geostatistical tool- in ArcGIS to interpolate observed values for those variables, and the digital map layers were produced based on each soil property. Geostatistical interpolation recognized a strong spatial variability for pH, P2O5 & Zn, moderate for OM, N, Fe & B, and weak for K2O. -
Digital Soil Mapping in the Bara District of Nepal Using Kriging Tool in Arcgis
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Agronomy & Horticulture -- Faculty Publications Agronomy and Horticulture Department 10-26-2018 Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS Dinesh Panday University of Nebraska-Lincoln, [email protected] Bijesh Maharjan University of Nebraska-Lincoln, [email protected] Devraj Chalise Nepal Agricultural Research Council Ram Kumar Shrestha Institute of Agriculture and Animal Science, Lamjung, Nepal Bikesh Twanabasu Westfalische Wilhelms Universitat, Munster Follow this and additional works at: https://digitalcommons.unl.edu/agronomyfacpub Part of the Agricultural Science Commons, Agriculture Commons, Agronomy and Crop Sciences Commons, Botany Commons, Horticulture Commons, Other Plant Sciences Commons, and the Plant Biology Commons Panday, Dinesh; Maharjan, Bijesh; Chalise, Devraj; Shrestha, Ram Kumar; and Twanabasu, Bikesh, "Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS" (2018). Agronomy & Horticulture -- Faculty Publications. 1130. https://digitalcommons.unl.edu/agronomyfacpub/1130 This Article is brought to you for free and open access by the Agronomy and Horticulture Department at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Agronomy & Horticulture -- Faculty Publications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. RESEARCH ARTICLE Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS 1 1 2 3 Dinesh PandayID *, Bijesh Maharjan , Devraj Chalise , Ram Kumar Shrestha , Bikesh Twanabasu4,5 1 Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America, 2 Nepal Agricultural Research Council, Lalitpur, Nepal, 3 Institute of Agriculture and Animal Science, Lamjung Campus, Lamjung, Nepal, 4 Hexa International Pvt. -
The Soil Survey
The Soil Survey The soil survey delineates the basal soil pattern of an area and characterises each kind of soil so that the response to changes can be assessed and used as a basis for prediction. Although in an economic climate it is necessarily made for some practical purpose, it is not subordinated to the parti cular need of the moment, but is conducted in a scientific way that provides basal information of general application and eliminates the necessity for a resurvey whenever a new problem arises. It supplies information that can be combined, analysed, or amplified for many practical purposes, but the purpose should not be allowed to modify the method of survey in any fundamental way. According to the degree of detail required, soil surveys in New Zealand are classed as general, . district, or detailed. General surveys produce sufficient detail for a final map on the scale of 4 miles to an inch (1 :253440); they show the main sets of soils and their general relation to land forms; they are an aid to investigations and planning on the regional or national scale. District surveys, for maps, on the scale of 2 miles to an inch (1: 126720), show soil types or, where the pattern is detailed, combinations of types; they are designed to show the soil pattern in sufficient detail to allow the study of local soil problems and to provide a basis for assembling and distributing information in many fields such as agriculture, forestry, and engineering. Detailed surveys, mostiy for maps on the scale of 40 chains to an inch (1 :31680), delineate soil types and land-use phases, and show the soil pattern in relation to farm boundaries and subdivisional fences. -
Advanced Crop and Soil Science. a Blacksburg. Agricultural
DOCUMENT RESUME ED 098 289 CB 002 33$ AUTHOR Miller, Larry E. TITLE What Is Soil? Advanced Crop and Soil Science. A Course of Study. INSTITUTION Virginia Polytechnic Inst. and State Univ., Blacksburg. Agricultural Education Program.; Virginia State Dept. of Education, Richmond. Agricultural Education Service. PUB DATE 74 NOTE 42p.; For related courses of study, see CE 002 333-337 and CE 003 222 EDRS PRICE MF-$0.75 HC-$1.85 PLUS POSTAGE DESCRIPTORS *Agricultural Education; *Agronomy; Behavioral Objectives; Conservation (Environment); Course Content; Course Descriptions; *Curriculum Guides; Ecological Factors; Environmental Education; *Instructional Materials; Lesson Plans; Natural Resources; Post Sc-tondary Education; Secondary Education; *Soil Science IDENTIFIERS Virginia ABSTRACT The course of study represents the first of six modules in advanced crop and soil science and introduces the griculture student to the topic of soil management. Upon completing the two day lesson, the student vill be able to define "soil", list the soil forming agencies, define and use soil terminology, and discuss soil formation and what makes up the soil complex. Information and directions necessary to make soil profiles are included for the instructor's use. The course outline suggests teaching procedures, behavioral objectives, teaching aids and references, problems, a summary, and evaluation. Following the lesson plans, pages are coded for use as handouts and overhead transparencies. A materials source list for the complete soil module is included. (MW) Agdex 506 BEST COPY AVAILABLE LJ US DEPARTMENT OFmrAITM E nufAT ION t WE 1. F ARE MAT IONAI. ItiST ifuf I OF EDuCATiCiN :),t; tnArh, t 1.t PI-1, t+ h 4t t wt 44t F.,.."11 4. -
A Systemic Approach for Modeling Soil Functions
SOIL, 4, 83–92, 2018 https://doi.org/10.5194/soil-4-83-2018 © Author(s) 2018. This work is distributed under SOIL the Creative Commons Attribution 4.0 License. A systemic approach for modeling soil functions Hans-Jörg Vogel1,5, Stephan Bartke1, Katrin Daedlow2, Katharina Helming2, Ingrid Kögel-Knabner3, Birgit Lang4, Eva Rabot1, David Russell4, Bastian Stößel1, Ulrich Weller1, Martin Wiesmeier3, and Ute Wollschläger1 1Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15, 04318 Leipzig, Germany 2Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, 15374 Müncheberg, Germany 3TUM School of Life Sciences Weihenstephan, Technical University of Munich, Emil-Ramann-Straße 2, 85354 Freising, Germany 4Senckenberg Museum of Natural History, Sonnenplan 7, 02826 Görlitz, Germany 5Martin-Luther-University Halle-Wittenberg, Institute of Soil Science and Plant Nutrition, Von-Seckendorff-Platz 3, 06120 Halle (Saale), Germany Correspondence: Hans-Jörg Vogel ([email protected]) Received: 13 September 2017 – Discussion started: 4 October 2017 Revised: 2 February 2018 – Accepted: 14 February 2018 – Published: 15 March 2018 Abstract. The central importance of soil for the functioning of terrestrial systems is increasingly recognized. Critically relevant for water quality, climate control, nutrient cycling and biodiversity, soil provides more func- tions than just the basis for agricultural production. Nowadays, soil is increasingly under pressure as a limited resource for the production of food, energy and raw materials. This has led to an increasing demand for concepts assessing soil functions so that they can be adequately considered in decision-making aimed at sustainable soil management. The various soil science disciplines have progressively developed highly sophisticated methods to explore the multitude of physical, chemical and biological processes in soil. -
Good Practices for the Preparation of Digital Soil Maps
UNIVERSIDAD DE COSTA RICA CENTRO DE INVESTIGACIONES AGRONÓMICAS FACULTAD DE CIENCIAS AGROALIMENTARIAS GOOD PRACTICES FOR THE PREPARATION OF DIGITAL SOIL MAPS Resilience and comprehensive risk management in agriculture Inter-american Institute for Cooperation on Agriculture University of Costa Rica Agricultural Research Center UNIVERSIDAD DE COSTA RICA CENTRO DE INVESTIGACIONES AGRONÓMICAS FACULTAD DE CIENCIAS AGROALIMENTARIAS GOOD PRACTICES FOR THE PREPARATION OF DIGITAL SOIL MAPS Resilience and comprehensive risk management in agriculture Inter-american Institute for Cooperation on Agriculture University of Costa Rica Agricultural Research Center GOOD PRACTICES FOR THE PREPARATION OF DIGITAL SOIL MAPS Inter-American institute for Cooperation on Agriculture (IICA), 2016 Good practices for the preparation of digital soil maps by IICA is licensed under a Creative Commons Attribution-ShareAlike 3.0 IGO (CC-BY-SA 3.0 IGO) (http://creativecommons.org/licenses/by-sa/3.0/igo/) Based on a work at www.iica.int IICA encourages the fair use of this document. Proper citation is requested. This publication is also available in electronic (PDF) format from the Institute’s Web site: http://www.iica. int Content Editorial coordination: Rafael Mata Chinchilla, Dangelo Sandoval Chacón, Jonathan Castro Chinchilla, Foreword .................................................... 5 Christian Solís Salazar Editing in Spanish: Máximo Araya Acronyms .................................................... 6 Layout: Sergio Orellana Caballero Introduction .................................................. 7 Translation into English: Christina Feenny Cover design: Sergio Orellana Caballero Good practices for the preparation of digital soil maps................. 9 Printing: Sergio Orellana Caballero Glossary .................................................... 15 Bibliography ................................................. 18 Good practices for the preparation of digital soil maps / IICA, CIA – San Jose, C.R.: IICA, 2016 00 p.; 00 cm X 00 cm ISBN: 978-92-9248-652-5 1. -
A New Era of Digital Soil Mapping Across Forested Landscapes 14 Chuck Bulmera,*, David Pare´ B, Grant M
CHAPTER A new era of digital soil mapping across forested landscapes 14 Chuck Bulmera,*, David Pare´ b, Grant M. Domkec aBC Ministry Forests Lands Natural Resource Operations Rural Development, Vernon, BC, Canada, bNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, QC, Canada, cNorthern Research Station, USDA Forest Service, St. Paul, MN, United States *Corresponding author ABSTRACT Soil maps provide essential information for forest management, and a recent transformation of the map making process through digital soil mapping (DSM) is providing much improved soil information compared to what was available through traditional mapping methods. The improvements include higher resolution soil data for greater mapping extents, and incorporating a wide range of environmental factors to predict soil classes and attributes, along with a better understanding of mapping uncertainties. In this chapter, we provide a brief introduction to the concepts and methods underlying the digital soil map, outline the current state of DSM as it relates to forestry and global change, and provide some examples of how DSM can be applied to evaluate soil changes in response to multiple stressors. Throughout the chapter, we highlight the immense potential of DSM, but also describe some of the challenges that need to be overcome to truly realize this potential. Those challenges include finding ways to provide additional field data to train models and validate results, developing a group of highly skilled people with combined abilities in computational science and pedology, as well as the ongoing need to encourage communi- cation between the DSM community, land managers and decision makers whose work we believe can benefit from the new information provided by DSM. -
Evaluation of Digital Soil Mapping Approaches with Large Sets of Environmental Covariates
SOIL, 4, 1–22, 2018 https://doi.org/10.5194/soil-4-1-2018 © Author(s) 2018. This work is distributed under SOIL the Creative Commons Attribution 3.0 License. Evaluation of digital soil mapping approaches with large sets of environmental covariates Madlene Nussbaum1, Kay Spiess1, Andri Baltensweiler2, Urs Grob3, Armin Keller3, Lucie Greiner3, Michael E. Schaepman4, and Andreas Papritz1 1Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Universitätstrasse 16, 8092 Zürich, Switzerland 2Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, 8903 Birmensdorf, Switzerland 3Research Station Agroscope Reckenholz-Taenikon ART, Reckenholzstrasse 191, 8046 Zürich, Switzerland 4Remote Sensing Laboratories, University of Zurich, Wintherthurerstrasse 190, 8057 Zürich, Switzerland Correspondence: Madlene Nussbaum ([email protected]) Received: 19 April 2017 – Discussion started: 9 May 2017 Revised: 11 October 2017 – Accepted: 24 November 2017 – Published: 10 January 2018 Abstract. The spatial assessment of soil functions requires maps of basic soil properties. Unfortunately, these are either missing for many regions or are not available at the desired spatial resolution or down to the required soil depth. The field-based generation of large soil datasets and conventional soil maps remains costly. Mean- while, legacy soil data and comprehensive sets of spatial environmental data are available for many regions. Digital soil mapping (DSM) approaches relating soil data (responses) to environmental -
Pedometric Mapping of Key Topsoil and Subsoil Attributes Using Proximal and Remote Sensing in Midwest Brazil
UNIVERSIDADE DE BRASÍLIA FACULDADE DE AGRONOMIA E MEDICINA VETERINÁRIA PROGRAMA DE PÓS-GRADUAÇÃO EM AGRONOMIA PEDOMETRIC MAPPING OF KEY TOPSOIL AND SUBSOIL ATTRIBUTES USING PROXIMAL AND REMOTE SENSING IN MIDWEST BRAZIL RAÚL ROBERTO POPPIEL TESE DE DOUTORADO EM AGRONOMIA BRASÍLIA/DF MARÇO/2020 UNIVERSIDADE DE BRASÍLIA FACULDADE DE AGRONOMIA E MEDICINA VETERINÁRIA PROGRAMA DE PÓS-GRADUAÇÃO EM AGRONOMIA PEDOMETRIC MAPPING OF KEY TOPSOIL AND SUBSOIL ATTRIBUTES USING PROXIMAL AND REMOTE SENSING IN MIDWEST BRAZIL RAÚL ROBERTO POPPIEL ORIENTADOR: Profa. Dra. MARILUSA PINTO COELHO LACERDA CO-ORIENTADOR: Prof. Titular JOSÉ ALEXANDRE MELO DEMATTÊ TESE DE DOUTORADO EM AGRONOMIA BRASÍLIA/DF MARÇO/2020 ii iii REFERÊNCIA BIBLIOGRÁFICA POPPIEL, R. R. Pedometric mapping of key topsoil and subsoil attributes using proximal and remote sensing in Midwest Brazil. Faculdade de Agronomia e Medicina Veterinária, Universidade de Brasília- Brasília, 2019; 105p. (Tese de Doutorado em Agronomia). CESSÃO DE DIREITOS NOME DO AUTOR: Raúl Roberto Poppiel TÍTULO DA TESE DE DOUTORADO: Pedometric mapping of key topsoil and subsoil attributes using proximal and remote sensing in Midwest Brazil. GRAU: Doutor ANO: 2020 É concedida à Universidade de Brasília permissão para reproduzir cópias desta tese de doutorado e para emprestar e vender tais cópias somente para propósitos acadêmicos e científicos. O autor reserva outros direitos de publicação e nenhuma parte desta tese de doutorado pode ser reproduzida sem autorização do autor. ________________________________________________ Raúl Roberto Poppiel CPF: 703.559.901-05 Email: [email protected] Poppiel, Raúl Roberto Pedometric mapping of key topsoil and subsoil attributes using proximal and remote sensing in Midwest Brazil/ Raúl Roberto Poppiel. -- Brasília, 2020. -
The Dokuchaev Hypothesis As a Basis for Predictive Digital Soil Mapping (On the 125Th Anniversary of Its Publication) I
ISSN 10642293, Eurasian Soil Science, 2012, Vol. 45, No. 4, pp. 445–451. © Pleiades Publishing, Ltd., 2012. Original Russian Text © I.V. Florinsky, 2012, published in Pochvovedenie, 2012, No. 4, pp. 500–506. HISTORY OF SCIENCE The Dokuchaev Hypothesis as a Basis for Predictive Digital Soil Mapping (On the 125th Anniversary of Its Publication) I. V. Florinsky Institute of Mathematical Problems of Biology, Russian Academy of Sciences, Pushchino, Moscow oblast, 142290 Russia Email: [email protected] Received June 16, 2011; in final form, September 25, 2011 Abstract—Predictive digital soil mapping is widely used in soil science. Its objective is the prediction of the spatial distribution of soil taxonomic units and quantitative soil properties via the analysis of spatially distrib uted quantitative characteristics of soilforming factors. Western pedometrists stress the scientific priority and principal importance of Hans Jenny’s book (1941) for the emergence and development of predictive soil mapping. In this paper, we demonstrate that Vasily Dokuchaev explicitly defined the central idea and state ment of the problem of contemporary predictive soil mapping in the year 1886. Then, we reconstruct the his tory of the soil formation equation from 1899 to 1941. We argue that Jenny adopted the soil formation equa tion from Sergey Zakharov, who published it in a wellknown fundamental textbook in 1927. It is encouraging that this issue was clarified in 2011, the anniversary year for publications of Dokuchaev and Jenny. DOI: 10.1134/S1064229312040047 INTRODUCTION additional soil formers may be included in Eq. (2). In soil science, predictive digital soil mapping has McBratney et al. -
Digital Soil Mapping Using Landscape Stratification for Arid Rangelands in the Eastern Great Basin, Central Utah
Utah State University DigitalCommons@USU All Graduate Theses and Dissertations Graduate Studies 5-2015 Digital Soil Mapping Using Landscape Stratification for Arid Rangelands in the Eastern Great Basin, Central Utah Brook B. Fonnesbeck Utah State University Follow this and additional works at: https://digitalcommons.usu.edu/etd Part of the Soil Science Commons Recommended Citation Fonnesbeck, Brook B., "Digital Soil Mapping Using Landscape Stratification for Arid Rangelands in the Eastern Great Basin, Central Utah" (2015). All Graduate Theses and Dissertations. 4525. https://digitalcommons.usu.edu/etd/4525 This Thesis is brought to you for free and open access by the Graduate Studies at DigitalCommons@USU. It has been accepted for inclusion in All Graduate Theses and Dissertations by an authorized administrator of DigitalCommons@USU. For more information, please contact [email protected]. DIGITAL SOIL MAPPING USING LANDSCAPE STRATIFICATION FOR ARID RANGELANDS IN THE EASTERN GREAT BASIN, CENTRAL UTAH by Brook B. Fonnesbeck A thesis submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in Soil Science Approved: _____________________________ _____________________________ Dr. Janis L. Boettinger Dr. Joel L. Pederson Major Professor Committee Member _____________________________ _____________________________ Dr. R Douglas Ramsey Dr. Mark R. McLellan Committee Member Dean of the School of Graduate Studies UTAH STATE UNIVERSITY Logan, Utah 2015 ii Copyright © Brook B. Fonnesbeck 2015 iii ABSTRACT Digital Soil Mapping Using Landscape Stratification for Arid Rangelands in the Eastern Great Basin, Central Utah by Brook B. Fonnesbeck, Master of Science Utah State University, 2015 Major Professor: Dr. Janis L. Boettinger Department: Plants, Soils and Climate Digital soil mapping typically involves inputs of digital elevation models, remotely sensed imagery, and other spatially explicit digital data as environmental covariates to predict soil classes and attributes over a landscape using statistical models. -
Rusell Review
European Journal of Soil Science, March 2019, 70, 216–235 doi: 10.1111/ejss.12790 Rusell Review Pedology and digital soil mapping (DSM) Yuxin Ma , Budiman Minasny , Brendan P. Malone & Alex B. Mcbratney Sydney Institute of Agriculture, School of Life and Environmental Sciences, The University of Sydney, Eveleigh, New South Wales, Australia Summary Pedology focuses on understanding soil genesis in the field and includes soil classification and mapping. Digital soil mapping (DSM) has evolved from traditional soil classification and mapping to the creation and population of spatial soil information systems by using field and laboratory observations coupled with environmental covariates. Pedological knowledge of soil distribution and processes can be useful for digital soil mapping. Conversely, digital soil mapping can bring new insights to pedogenesis, detailed information on vertical and lateral soil variation, and can generate research questions that were not considered in traditional pedology. This review highlights the relevance and synergy of pedology in soil spatial prediction through the expansion of pedological knowledge. We also discuss how DSM can support further advances in pedology through improved representation of spatial soil information. Some major findings of this review are as follows: (a) soil classes can bemapped accurately using DSM, (b) the occurrence and thickness of soil horizons, whole soil profiles and soil parent material can be predicted successfully with DSM techniques, (c) DSM can provide valuable information on pedogenic processes (e.g. addition, removal, transformation and translocation), (d) pedological knowledge can be incorporated into DSM, but DSM can also lead to the discovery of knowledge, and (e) there is the potential to use process-based soil–landscape evolution modelling in DSM.