Predictive Soil Mapping with R
Predictive Soil Mapping with R

Author: Tomislav Hengl

Publisher: Lulu.com

Published: 2019-02-16

Total Pages: 372

ISBN-13: 0359306357

DOWNLOAD EBOOK

Predictive Soil Mapping (PSM) is based on applying statistical and/or machine learning techniques to fit models for the purpose of producing spatial and/or spatiotemporal predictions of soil variables i.e. maps of soil properties and classes at different resolutions. It is a multidisciplinary field combining statistics, data science, soil science, physical geography, remote sensing, geoinformation science and a number of other sciences. Predictive Soil Mapping with R is about understanding the main concepts behind soil mapping, mastering R packages that can be used to produce high quality soil maps, and about optimizing all processes involved so that also the production costs can be reduced. The online version of the book is available at: https: //envirometrix.github.io/PredictiveSoilMapping/ Pull requests and general comments are welcome. These materials are based on technical tutorials initially developed by the ISRIC's Global Soil Information Facilities (GSIF) development team over the period 2014?2017

Soil Change Guide: Procedures for Soil Survey and Resource Inventory
Soil Change Guide: Procedures for Soil Survey and Resource Inventory

Author: U.S. Department of Agriculture

Publisher: Lulu.com

Published: 2019-04-06

Total Pages: 272

ISBN-13: 0359573665

DOWNLOAD EBOOK

Many soil properties have changed and can change as a result of management, historical land use, or even natural factors, such as drought, interacting with land use. National soil survey databases currently include soil property information for the relatively static soil properties, such as texture, and also for properties affected by management, such as soil organic matter. The databases do not, however, distinguish the values of dynamic soil properties (e.g., organic matter, bulk density, infiltration rate) according to their land use, management system, ecological state, or plant community. ?Dynamic soil properties? as defined in this Guide are soil properties that change within the human time scale. Differences that may exist in these properties can affect the performance of the soil. Furthermore, some dynamic soil properties change very little in response to management and disturbances.

Soil Conservation
Soil Conservation

Author: National Research Council

Publisher: National Academies Press

Published: 1986-02-01

Total Pages: 137

ISBN-13: 0309036496

DOWNLOAD EBOOK

This new volume is the first independent analysis of an important national data base, the National Resources Inventory. It cites potential uses of the NRI in controlling soil erosion; determining land use; deciding conservation treatment; classifying soils; and protecting groundwater quality. Methods for soil conservation activities, ranging from the ranking of the lands most susceptible to erosion to the measurement and prediction of both wind and water erosion, are recommended throughout the volume.

Remote Sensing of Soils
Remote Sensing of Soils

Author: S. Dharumarajan

Publisher: Elsevier

Published: 2023-11-28

Total Pages: 741

ISBN-13: 044318772X

DOWNLOAD EBOOK

Remote Sensing of Soils: Mapping, Monitoring and Measurement covers the basic, theoretical and scientific concepts of multidisciplinary subjects, including sections that relate to soil sciences, remote sensing, geoinformatics, geomatics, civil and water resource engineering, geography, agriculture, disaster management and the earth and environmental sciences. The book consists of defined elements to help guide the reader, including an abstract, introductions, a literature review, methodology, results and discussions, findings, recommendations and conclusions. Each chapter includes theoretical information that is illustrated with flow charts, tables, figures, diagrams and other related illustrations. Site-specific research and case studies are described throughout with geographical and demographical data, current scientific issues, impacts, solutions and societal benefits, thus providing readers from multi-disciplinary backgrounds the tools they need to successful map, analyze and monitor soils. Covers multispectral, hyperspectral and SAR remote sensing analysis of soil properties, soil moisture, soil salinity, and soil organic matters, etc., in spatio-temporal scale Includes a section on digital soil mapping, including integrated RS, GIS and insitu surveyed data analysis for digital soil mapping using widely accepted models and approaches Ideal for readers in the soil sciences, remote sensing, geoinformatics, geomatics, civil and water resource engineering, geography, agriculture, disaster management, and earth and environmental sciences