Mapping Soil Organic Carbon Using Convolutional Neural Networks And Global Data

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Mapping Soil Organic Carbon Using Convolutional Neural Networks And Global Data

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Author : B.J.M. van Heumen
language : en
Publisher:
Release Date : 2019

Mapping Soil Organic Carbon Using Convolutional Neural Networks And Global Data written by B.J.M. van Heumen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Soil Organic Carbon Mapping Cookbook

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Author : Food and Agriculture Organization of the United Nations
language : en
Publisher: Food & Agriculture Org.
Release Date : 2018-05-21

Soil Organic Carbon Mapping Cookbook written by Food and Agriculture Organization of the United Nations and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-21 with Technology & Engineering categories.

The Soil Organic Carbon Mapping cookbook provides a step-by-step guidance for developing 1 km grids for soil carbon stocks. It includes the preparation of local soil data, the compilation and pre-processing of ancillary spatial data sets, upscaling methodologies, and uncertainty assessments. Guidance is mainly specific to soil carbon data, but also contains many generic sections on soil grid development, as it is relevant for other soil properties. This second edition of the cookbook provides generic methodologies and technical steps to produce SOC maps and has been updated with knowledge and practical experiences gained during the implementation process of GSOCmap V1.0 throughout 2017. Guidance is mainly specific to SOC data, but as this cookbook contains generic sections on soil grid development it can be applicable to map various soil properties.

Country To Global Prediction Of Soil Organic Carbon And Soil Moisture Using Digital Soil Mapping

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Author : Mario Guevara
language : en
Publisher:
Release Date : 2020

Country To Global Prediction Of Soil Organic Carbon And Soil Moisture Using Digital Soil Mapping written by Mario Guevara and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

The largest carbon pool in terrestrial ecosystems is contained in soils and it plays a key role regulating hydrological processes, such as the spatial variability of soil moisture dynamics. Specifically, soil moisture and soil organic carbon are variables directly linked to ecosystem services such as food production and water storage. However, there are important knowledge gaps in the spatial representation (e.g., maps) of soil moisture and soil organic information from the country specific to the global scales. There is a pressing need to update the spatial detail of soil moisture estimates and the accuracy of digital soil carbon maps for improved land management, improved Earth system modeling and improved strategies (i.e., public policy) to combat land degradation. From the country specific to the global scale, the overreaching goal of this PhD research is to develop a reproducible digital soil mapping framework to increase the statistical accuracy of spatially continuous information on soil moisture and soil organic carbon across different scales of data availability (e.g., country-specific, regional, global). Chapter 1 provides a general introduction. Chapters 2 and 3 are focused on up-scaling soil organic carbon from the country-specific scale to the continental scale. Chapter 2 provides a country-specific and multi-modeling approach for soil organic carbon mapping across Latin America, where I identify key predictors and conclude that there is no best modeling method in a quantifiable basis across all the analyzed countries. In Chapter 3, I compare and test different methods and combinations of prediction factors to model the variability of soil organic carbon across Mexico and conterminous United States (CONUS). I describe soil organic carbon stocks across different land covers across the region, quantify the model uncertainty and discuss estimates derived from previous studies. Chapters 4 and 5 are devoted to improving the statistical detail and accuracy of satellite soil moisture from the country to the global scale. Chapter 4 describes how the machine learning fusion of satellite soil moisture with Geomorphometry increase the statistical accuracy and spatial detail of current soil moisture estimates across CONUS. Chapter 5 extends the previous chapter to the global scale and identifies global soil moisture trends. I provide a novel (gap-free) soil moisture global estimate that could be potentially used to predict the global feedback between primary productivity and long-term soil moisture trends. Chapters 4 and 5 reveal evidence of soil moisture decline across large areas of the world. Finally, chapter 6 summarizes the main findings of this research, the key conclusions, emergent challenges and future steps. The results of this research were useful to generate benchmarks against which to assess the impact of climate and land cover changes on soil organic carbon stocks and soil moisture trends. This research provides a framework (including high quality data and novel methodologies) to generate environmentally relevant science that can be used for the formulation of public policy around soil and water conservation efforts.

Global Soil Organic Carbon Sequestration Potential Map Gsocseq V1 1 Technical Manual

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Author : Peralta, G., Di Paolo L., Luotto, I., Omuto, C., Mainka M., Viatkin, K., Yigini, Y.
language : en
Publisher: Food & Agriculture Org.
Release Date : 2022-01-18

Global Soil Organic Carbon Sequestration Potential Map Gsocseq V1 1 Technical Manual written by Peralta, G., Di Paolo L., Luotto, I., Omuto, C., Mainka M., Viatkin, K., Yigini, Y. and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-18 with Technology & Engineering categories.

Responding to a request for support in addressing the Sustainable Development Goal Indicators, especially Indicator 15.3 which includes the restoration of degraded soils, the Global Soil Partnership (GSP) Plenary Assembly in 2020 instructed the Intergovernmental Technical Panel on Soils (ITPS) and the GSP Secretariat to develop the Global Soil Organic Carbon Sequestration Potential map (GSOCseq map), following the same country-driven approach developed for the Global Soil Organic Carbon map (GSOCmap). This ‘bottom-up’ approach is expected to generate a GSOCseq map from national SOCseq maps, developed and validated by local experts, based on the implementation of SOC models using standardized procedures and by leveraging the best available local data.

Digital Soil Mapping

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Author : Janis L. Boettinger
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-28

Digital Soil Mapping written by Janis L. Boettinger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-28 with Science categories.

Digital Soil Mapping is the creation and the population of a geographically referenced soil database. It is generated at a given resolution by using field and laboratory observation methods coupled with environmental data through quantitative relationships. Digital soil mapping is advancing on different fronts at different rates all across the world. This book presents the state-of-the art and explores strategies for bridging research, production, and environmental application of digital soil mapping.It includes examples from North America, South America, Europe, Asia, and Australia. The chapters address the following topics: - evaluating and using legacy soil data - exploring new environmental covariates and sampling schemes - using integrated sensors to infer soil properties or status - innovative inference systems predicting soil classes, properties, and estimating their uncertainties - using digital soil mapping and techniques for soil assessment and environmental application - protocol and capacity building for making digital soil mapping operational around the globe.

Digital Soil Mapping Across Paradigms Scales And Boundaries

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Author : Gan-lin Zhang
language : en
Publisher: Springer
Release Date : 2016-02-15

Digital Soil Mapping Across Paradigms Scales And Boundaries written by Gan-lin Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-15 with Nature categories.

This book contains papers presented at the 6th Global Workshop on Digital Soil Mapping, held 11-14 November 2014 at the Institute of Soil Science, Chinese Academy of Sciences of Nanjing, China. Digital soil mapping is advancing on different fronts at different paces throughout the world. The researches and applications on DSM are moving from method development to realizations in different scales and regions, serving the generation of national and continental to global soil grids. Meanwhile, new ideas and insights on mapping complex soil-landscapes such as flat plains,anthropogenically altered agriculture and urban spaces are emerging, with the help of new paradigms and models.The goal of the sixth workshop was to review and discuss the state of the art in digital soil mapping, and to explore strategies for bridging research, production, and environmental applications. This book provides a very useful and comprehensive overview of the status of digital soil mapping, in which graduate students, scientists and specialists working within the field of geography can find the spatial prediction approaches and related theory.

Soil Carbon

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Author : Alfred E. Hartemink
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-04-01

Soil Carbon written by Alfred E. Hartemink and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-01 with Nature categories.

Few topics cut across the soil science discipline wider than research on soil carbon. This book contains 48 chapters that focus on novel and exciting aspects of soil carbon research from all over the world. It includes review papers by global leaders in soil carbon research, and the book ends with a list and discussion of global soil carbon research priorities. Chapters are loosely grouped in four sections: § Soil carbon in space and time § Soil carbon properties and processes § Soil use and carbon management § Soil carbon and the environment A wide variety of topics is included: soil carbon modelling, measurement, monitoring, microbial dynamics, soil carbon management and 12 chapters focus on national or regional soil carbon stock assessments. The book provides up-to-date information for researchers interested in soil carbon in relation to climate change and to researchers that are interested in soil carbon for the maintenance of soil quality and fertility. Papers in this book were presented at the IUSS Global Soil C Conference that was held at the University of Wisconsin-Madison, USA.

Global Soil Organic Carbon Sequestration Potential Map Gsocseq V 1 1

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Author : Food and Agriculture Organization of the United Nations
language : en
Publisher: Food & Agriculture Org.
Release Date : 2022-03-21

Global Soil Organic Carbon Sequestration Potential Map Gsocseq V 1 1 written by Food and Agriculture Organization of the United Nations and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-21 with Technology & Engineering categories.

This document presents the technical details of the first ever country-driven Global Soil Organic Carbon Sequestration Potential Map (GSOCseq). This map allows for the estimation of top (0–30 cm) soil organic carbon sequestration potential in agricultural areas under a business as usual and three sustainable soil management scenarios. The Global Soil Organic Carbon Sequestration Potential Map (GSOCseq) stands out as a game-changing program aimed at bridging this divide by raising technical expertise on SOC sequestration potential modeling and mapping while relying on a uniquely participatory and iterative process. The GSOCseq v1.1 was developed based on the submissions of national experts appointed by the Food and Agriculture Organization of the United Nations (FAO) Member Nations. Each of the appointed National Experts generated national maps following a bottom-up approach that was facilitated and coordinated by the Secretariat of FAO’s Global Soil Partnership (GSP).

Globalsoilmap

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Author : Dominique Arrouays
language : en
Publisher: CRC Press
Release Date : 2014-01-27

Globalsoilmap written by Dominique Arrouays and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-27 with Science categories.

GlobalSoilMap: Basis of the global spatial soil information system contains contributions that were presented at the 1st GlobalSoilMap conference, held 7-9 October 2013 in Orléans, France. These contributions demonstrate the latest developments in the GlobalSoilMap project and digital soil mapping technology for which the ultimate aim is to produce a high resolution digital spatial soil information system of selected soil properties and their uncertainties for the entire world. GlobalSoilMap: Basis of the global spatial soil information system aims to stimulate capacity building and new incentives to develop full GlobalSoilMap products in all parts of the world.

Predictive Soil Mapping With R

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Author : Tomislav Hengl
language : en
Publisher: Lulu.com
Release Date : 2019-02-16

Predictive Soil Mapping With R written by Tomislav Hengl and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-16 with categories.

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