Digital Soil Mapping Using Landscape Stratification for Arid Rangelands in the Eastern Great Basin, Central Utah
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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. -
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 -
The Use of Proximal Soil Sensor Data Fusion and Digital Soil Mapping For
The use of proximal soil sensor data fusion and digital soil mapping for precision agriculture Wenjun Ji, Viacheslav Adamchuk, Songchao Chen, Asim Biswas, Maxime Leclerc, Raphael Viscarra Rossel To cite this version: Wenjun Ji, Viacheslav Adamchuk, Songchao Chen, Asim Biswas, Maxime Leclerc, et al.. The use of proximal soil sensor data fusion and digital soil mapping for precision agriculture. Pedometrics 2017, Jun 2017, Wageningen, Netherlands. 298 p. hal-01601278 HAL Id: hal-01601278 https://hal.archives-ouvertes.fr/hal-01601278 Submitted on 2 Jun 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - ShareAlike| 4.0 International License Abstract Book Pedometrics 2017 Wageningen, 26 June – 1 July 2017 2 Contents Evaluating Use of Ground Penetrating Radar and Geostatistic Methods for Mapping Soil Cemented Horizon .................................... 13 Digital soil mapping in areas of mussunungas: algoritmos comparission .......... 14 Sensing of farm and district-scale soil moisture content using a mobile cosmic ray probe (COSMOS Rover) .................................... 15 Proximal sensing of soil crack networks using three-dimensional electrical resistivity to- mography ......................................... 16 Using digital microscopy for rapid determination of soil texture and prediction of soil organic matter ..................................... -
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. -
Selection and Use of Soil Characteristics in Digital Soil Mapping in Tanzania
Selection and use of soil characteristics in digital soil mapping in Tanzania A M. Kilasara ASokoine University of Agriculture, P.O. Box 3008 Morogoro, Tanzania, Email [email protected], [email protected] Abstract A study of soil characteristics was conducted in three different agro-ecological zones representing the humid, sub humid and semi-arid-sub humid zones in East Africa. The selected sites correspond to high potential medium and near-marginal areas for the production of maize. Emphasis was put on the topsoil characteristics which largely influence the performance of soils in terms of crop production in the inter-tropical African region. Topsoil depth, available water capacity, organic carbon content, pH, and bulk density, cation exchange capacity are among the key characteristics that influence the functioning of the studied soils. In certain cases, a few key characteristics determine the soils behaviour while in others the same do not. The selection of which ones are critical for a given soil requires detailed analysis supported by field evidence such as experimental data. Spatial heterogeneity in magnitude of individual soil characteristics was common in all sites. In the future digital soil mapping should provide room for subsequent upgrading of the soil information as more data become available. A digital soil map should be prepared such that it provides a possibility to extract information at various resolutions according to needs. Key Words Soil characterisatiation, digital soil map. Introduction The publication of the soil map of the World in 1981 paved the way for classifying soils using a widely accepted harmonised criteria and nomenclature at the global scale. -
Digital Mapping of Soil Associations and Eroded Soils (Prokhorovskii District, Belgorod Oblast) A
ISSN 1064-2293, Eurasian Soil Science, 2021, Vol. 54, No. 1, pp. 13–24. © Pleiades Publishing, Ltd., 2021. Russian Text © The Author(s), 2021, published in Pochvovedenie, 2021, No. 1, pp. 17–30. GENESIS AND GEOGRAPHY OF SOILS Digital Mapping of Soil Associations and Eroded Soils (Prokhorovskii District, Belgorod Oblast) A. P. Zhidkina, *, M. A. Smirnovaa, b, A. N. Gennadievb, S. V. Lukinc, Ye. A. Zazdravnykhd, and N. I. Lozbeneva aDokuchaev Soil Science Institute, per. Pyzhevskii 7, Moscow, 119017 Russia bLomonosov Moscow State University, Leninskie Gory 1, Moscow, 119999 Russia cBelgorod State University, ul. Pobedy 85, Belgorod, 308015 Russia. dBelgorod Agrarian Center, ul. Shchorsa 8, Belgorod, 308027 Russia *e-mail: [email protected] Received April 19, 2020; revised May 24, 2020; accepted June 17, 2020 Abstract—A new method of digital mapping of the soil cover pattern with calculation of the share of soils of different taxa and degree classes for soil erosion in the soil associations is proposed. A comparative analysis of soil maps obtained using different methods of construction (visual expert and digital) and with their differ- ent contents (displaying the dominant soil or soil associations) has been performed. In the case of mapping by the visual expert method (with the display of the dominant soil), a significant underestimation of the total area of moderately and strongly eroded soils in comparison with the digital mapping is noted. These differ- ences are due to the underestimation of the area of small polygons with moderately and strongly eroded soils in the composition of soil associations on slopes of low steepness and in shallow hollows in the visual expert method of mapping. -
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. -
Pedodiversity in the United States of America
Geoderma 117 (2003) 99–115 www.elsevier.com/locate/geoderma Pedodiversity in the United States of America Yinyan Guo, Peng Gong, Ronald Amundson* Division of Ecosystem Sciences and Center for Assessment and Monitoring of Forest and Environmental Resources (CAMFER), 151 Hilgard Hall, College of Natural Resources, University of California, Berkeley, CA 94720-3110, USA Received 8 July 2002; accepted 17 March 2003 Abstract Little attention has been paid to analyses of pedodiversity. In this study, quantitative aspects of pedodiversity were explored for the USA based on the State Soil Geographic database (STATSGO). First, pedodiversity indices for the conterminous USA were estimated. Second, taxa–area relationships were investigated in each soil taxonomic category. Thirdly, differences in pedodiversity between the USDA-NRCS geographical regions were compared. Fourth, the possible mechanisms underlying the observed relative abundance of soil taxa were explored. Results show that as the taxonomic category decreases from order to series, Shannon’s diversity index increases because taxa richness increased dramatically. The relationship between the number of taxa (S) and area (A) is formulated as S=cAz. The exponent z reflects the taxa-richness of soil ‘communities’ and increases constantly as taxonomic categories decrease from order to series. The ‘‘West’’ USDA-NRCS geographical region has the highest soil taxa richness, followed by the ‘‘Northern Plains’’ region. The ‘‘South Central’’ region has the highest taxa evenness, while taxa evenness in the ‘‘West’’ region is the lowest. The ‘‘West’’ or the ‘‘South Central’’ regions have the highest overall soil diversity in the four highest taxonomic categories, while the ‘‘West’’ or ‘‘Northern Plains’’ regions have the highest diversity in the two lowest taxonomic levels. -
Digital Soil Map of the World Could Lead to More Refi Ned Mapping and Pedro A
POLICYFORUM ENVIRONMENTAL SCIENCE Increased demand and advanced techniques Digital Soil Map of the World could lead to more refi ned mapping and Pedro A. Sanchez, 1 * Sonya Ahamed, 1 Florence Carré, 2 Alfred E. Hartemink, 3 Jonathan Hempel, 4 management of soils. Jeroen Huising, 5 Philippe Lagacherie, 6 Alex B. McBratney, 7 Neil J. McKenzie, 8 Maria de Lourdes Mendonça-Santos, 9 Budiman Minasny, 7 Luca Montanarella, 2 Peter Okoth, 5 Cheryl A. Palm, 1 Jeffrey D. Sachs, 1 Keith D. Shepherd, 10 Tor-Gunnar Vågen, 10 Bernard Vanlauwe, 5 Markus G. Walsh, 1 Leigh A. Winowiecki, 1 Gan-Lin Zhang 1 1 oils are increasingly recognized as major the degree of soil degradation ( 4). At present, dations, and serving the end users—all of contributors to ecosystem services such 109 countries have conventional soil maps at them backed by a robust cyberinfrastructure. Sas food production and climate regula- a scale of 1:1 million or fi ner, but they cover [See fig. S1, expanded from ( 7).] Specific tion ( 1, 2), and demand for up-to-date and rel- only 31% of the Earth’s ice-free land surface, countries may add their own modifi cations. evant soil information is soaring. But commu- leaving the remaining countries reliant on nicating such information among diverse audi- the FAO-UNESCO map ( 5). [See supporting Digital Soil Mapping ences remains challenging because of incon- online material (SOM) for more history.] Digital soil mapping began in the 1970s ( 8) sistent use of technical jargon, and outdated, To address these many shortcomings, and accelerated significantly in the 1980s imprecise methods.