iSDAsoil: The first continent-scale soil property map at 30 m resolution provides a soil information revolution for Africa

The main objective of DOSoReMI.hu (Digital, Optimized, Soil Related Maps and Information in Hungary) initiative has been to broaden the possibilities, how demands on spatial soil related information could be satisfied in Hungary, how the gaps between the available and the expected could be filled with optimized digital soil (related) maps. During our activities we have significantly extended the potential, how goal-oriented, map-based soil information could be created to fulfill the requirements. Primary and specific soil property, soil type and certain tentative functional soil maps were compiled. The set of the applied digital soil mapping techniques has been gradually broadened incorporating and eventually integrating geostatistical, machine learning and GIS tools. Soil property maps have been compiled partly according to GlobalSoilMap.net specifications, partly by slightly or more strictly changing some of their predefined parameters (depth intervals, pixel size, property etc.) according to the specific demands on the final products. The nationwide, thematic digital soil maps compiled in the frame and spin-off of our research have been utilized in a number of ways.Soil hydraulic properties (saturated hydraulic conductivity, wilting point, field capacity, saturated water content) were mapped applying generalized pedotransfer functions on available, primary soil property maps supplemented with further environmental co-variables, which were also used in the elaboration of the specific PTF.Spatial assessment of certain provisioning and regulating soil functions and services was carried out by the involvement of soil property maps in digital process/crop models, which properly simulate the soil-plant-water environment conditioned by various factors based on actual, predicted or presumed data. Specific outputs of the modelled processes provided adequate information on functional behavior of soils.Programs or studies dedicated to the designation of areas suitable for irrigation; risk modelling of inland excess water hazard; mapping of potential habitats; spatial assessment and mapping of ecosystem services were heavily relied on the novel type spatial soil information. The approaches sometimes required certain modifications of the standard GSM products due to various reasons.The paper will present various national functional applications of primary soil property maps provided by DOSoReMI.hu.&#160;Acknowledgment: Our research was supported by the Hungarian National Research, Development and Innovation Office (NRDI; Grant No: KH126725).

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Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019)

10.5194/essd-2019-164 ◽

2019 ◽

Cited By ~ 1

Author(s):

Niels H. Batjes ◽

Eloi Ribeiro ◽

Ad van Oostrum

Keyword(s):

Soil Profile ◽

Soil Property ◽

Soil Mapping ◽

Digital Soil Mapping ◽

Total Carbon ◽

System Modelling ◽

Profile Data ◽

Wide Range ◽

Global Soil ◽

Soil Information

Abstract. The World Soil Information Service (WoSIS) provides quality-assessed and standardised soil profile data to support digital soil mapping and environmental applications at broad scale levels. Since the release of the first WoSIS snapshot, in July 2016, many new soil data were shared with us, registered in the ISRIC data repository, and subsequently standardised in accordance with the licences specified by the data providers. Soil profile data managed in WoSIS were contributed by a wide range of data providers, therefore special attention was paid to measures for soil data quality and the standardisation of soil property definitions, soil property values (and units of measurement), and soil analytical method descriptions. We presently consider the following soil chemical properties (organic carbon, total carbon, total carbonate equivalent, total Nitrogen, Phosphorus (extractable-P, total-P, and P-retention), soil pH, cation exchange capacity, and electrical conductivity) and physical properties (soil texture (sand, silt, and clay), bulk density, coarse fragments, and water retention), grouped according to analytical procedures (aggregates) that are operationally comparable. Further, for each profile, we provide the original soil classification (FAO, WRB, USDA, and version) and horizon designations insofar as these have been specified in the source databases. Measures for geographical accuracy (i.e. location) of the point data as well as a first approximation for the uncertainty associated with the operationally defined analytical methods are presented, for possible consideration in digital soil mapping and subsequent earth system modelling. The latest (dynamic) set of quality-assessed and standardised data, called wosis_latest, is freely accessible via an OGC-compliant WFS (web feature service). For consistent referencing, we also provide time-specific static snapshots. The present snapshot (September 2019) comprises 196,498 geo-referenced profiles originating from 173 countries. They represent over 832 thousand soil layers (or horizons), and over 5.8 million records. The actual number of observations for each property varies (greatly) between proﬁles and with depth, this generally depending on the objectives of the initial soil sampling programmes. In the coming years, we aim to fill gradually gaps in the geographic and feature space, this subject to the sharing of a wider selection of soil profile data for so far under-represented areas and properties by our existing and prospective partners. Part of this work is foreseen in conjunction within the Global Soil Information System (GloSIS) being developed by the Global Soil Partnership (GSP). The WoSIS snapshot – September 2019 is archived and freely accessible at https://doi.org/10.17027/isric-wdcsoils.20190901 (Batjes et al., 2019).

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Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019)

Earth System Science Data ◽

10.5194/essd-12-299-2020 ◽

2020 ◽

Vol 12 (1) ◽

pp. 299-320 ◽

Cited By ~ 9

Author(s):

Niels H. Batjes ◽

Eloi Ribeiro ◽

Ad van Oostrum

Keyword(s):

Soil Profile ◽

Soil Property ◽

Soil Mapping ◽

Digital Soil Mapping ◽

Total Carbon ◽

System Modelling ◽

Profile Data ◽

Wide Range ◽

Global Soil ◽

Soil Information

Abstract. The World Soil Information Service (WoSIS) provides quality-assessed and standardised soil profile data to support digital soil mapping and environmental applications at broadscale levels. Since the release of the first “WoSIS snapshot”, in July 2016, many new soil data were shared with us, registered in the ISRIC data repository and subsequently standardised in accordance with the licences specified by the data providers. Soil profile data managed in WoSIS were contributed by a wide range of data providers; therefore, special attention was paid to measures for soil data quality and the standardisation of soil property definitions, soil property values (and units of measurement) and soil analytical method descriptions. We presently consider the following soil chemical properties: organic carbon, total carbon, total carbonate equivalent, total nitrogen, phosphorus (extractable P, total P and P retention), soil pH, cation exchange capacity and electrical conductivity. We also consider the following physical properties: soil texture (sand, silt, and clay), bulk density, coarse fragments and water retention. Both of these sets of properties are grouped according to analytical procedures that are operationally comparable. Further, for each profile we provide the original soil classification (FAO, WRB, USDA), version and horizon designations, insofar as these have been specified in the source databases. Measures for geographical accuracy (i.e. location) of the point data, as well as a first approximation for the uncertainty associated with the operationally defined analytical methods, are presented for possible consideration in digital soil mapping and subsequent earth system modelling. The latest (dynamic) set of quality-assessed and standardised data, called “wosis_latest”, is freely accessible via an OGC-compliant WFS (web feature service). For consistent referencing, we also provide time-specific static “snapshots”. The present snapshot (September 2019) is comprised of 196 498 geo-referenced profiles originating from 173 countries. They represent over 832 000 soil layers (or horizons) and over 5.8 million records. The actual number of observations for each property varies (greatly) between profiles and with depth, generally depending on the objectives of the initial soil sampling programmes. In the coming years, we aim to fill gradually gaps in the geographic distribution and soil property data themselves, this subject to the sharing of a wider selection of soil profile data for so far under-represented areas and properties by our existing and prospective partners. Part of this work is foreseen in conjunction within the Global Soil Information System (GloSIS) being developed by the Global Soil Partnership (GSP). The “WoSIS snapshot – September 2019” is archived and freely accessible at https://doi.org/10.17027/isric-wdcsoils.20190901 (Batjes et al., 2019).

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Mapping Soil Properties to Advance the State of Spatial Soil Information for Greater Food Security on US Tribal Lands

Frontiers in Soil Science ◽

10.3389/fsoil.2021.695386 ◽

2021 ◽

Vol 1 ◽

Author(s):

Bryan Fuentes ◽

Amanda J. Ashworth ◽

Mercy Ngunjiri ◽

Phillip Owens

Keyword(s):

Food Security ◽

High Resolution ◽

Soil Properties ◽

Cation Exchange ◽

Cation Exchange Capacity ◽

Soil Property ◽

Exchange Capacity ◽

Soil Survey ◽

Soil Information ◽

Tribal Lands

Knowledge, data, and understanding of soils is key for advancing agriculture and society. There is currently a critical need for sustainable soil management tools for enhanced food security on Native American Tribal Lands. Tribal Reservations have basic soil information and limited access to conservation programs provided to other U.S producers. The objective of this study was to create first ever high-resolution digital soil property maps of Quapaw Tribal Lands with limited data for sustainable soil resource management. We used a digital soil mapping (DSM) approach based on fuzzy logic to model the spatial distribution of 24 soil properties at 0–15 and 15–30 cm depths. A digital elevation model with 3 m resolution was used to derive terrain variables and a total of 28 samples were collected at 0–30 cm over the 22,880-ha reservation. Additionally, soil property maps were derived from Gridded Soil Survey Geographic Database (gSSURGO) for comparison. When comparing properties modeled by DSM to those derived from gSSURGO, DSM resulted in lower root mean squared error (RMSE) for percent clay and sand at 0–15 cm, and cation exchange capacity, percent clay, and pH at 15–30 cm. Conversely, gSSURGO-derived maps resulted in lower RMSE for cation exchange capacity, pH, and percent silt at the 0–15 cm depth, and percent sand and silt at the 15–30 cm depth. Although, some of the soil properties derived from gSSURGO had lower RMSE, spatial soil property patterns modeled by DSM were in better agreement with the topographic complexity and expected soil-landscape relationships. The proposed DSM approach developed property maps at high-resolution, which sets the baseline for production of new spatial soil information for Quapaw Tribal soils. It is expected that these maps and future versions will be useful for soil, crop, and land-use decisions at the farm and Tribal-level for increased agricultural productivity and economic development. Overall, this study provides a framework for developing DSM on Tribal Lands for improving the accuracy and detail of soil property maps (relative to off the shelf products such as SSURGO) that better represents soil-forming environments and the spatial variability of soil properties on Tribal Lands.

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Application of legacy soil data in digital soil mapping for the elaboration of novel, countrywide maps of soil conditions

Agrokémia és Talajtan ◽

10.1556/agrokem.63.2014.1.9 ◽

2014 ◽

Vol 63 (1) ◽

pp. 79-88 ◽

Cited By ~ 3

Author(s):

László Pásztor ◽

E. Dobos ◽

G. Szatmári ◽

A. Laborczi ◽

K. Takács ◽

...

Keyword(s):

Object Oriented ◽

Soil Mapping ◽

Digital Soil Mapping ◽

Soil Conditions ◽

Related Information ◽

Soil Information

The main objective of the DOSoReMI.hu (Digital, Optimized, Soil Related Maps and Information in Hungary) project is to significantly extend the potential, how demands on spatial soil related information could be satisfied in Hungary. Although a great amount of soil information is available due to former mappings and surveys, there are more and more frequently emerging discrepancies between the available and the expected data. The gaps are planned to be filled with optimized digital soil mapping (DSM) products heavily based on legacy soil data, which still represent a valuable treasure of soil information at the present time. The paper presents three approaches for the application of Hungarian legacy soil data in object oriented digital soil mapping.

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Applying the Method of Lagrange Multipliers to Derive an Estimator for Unsampled Soil Properties

Scientific Research Journal ◽

10.24191/srj.v11i1.5416 ◽

2014 ◽

Vol 11 (1) ◽

pp. 15

Author(s):

Set Foong Ng ◽

Pei Eng Ch’ng ◽

Yee Ming Chew ◽

Kok Shien Ng

Keyword(s):

Soil Properties ◽

Lagrange Multipliers ◽

Unbiased Estimator ◽

Soil Property ◽

Minimum Variance ◽

Distance Method ◽

True Value ◽

A Site ◽

Method Of Lagrange Multipliers ◽

Inverse Distance

Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this paper is an unbiased estimator. The partiality of the estimator with respect to the true value is zero. Hence, the estimated value will be equal to the true value of the soil property. It is also shown that the variance between the estimator and the soil property is minimised. Hence, the distribution of this unbiased estimator with minimum variance spreads the least from the true value. With this characteristic of minimum variance unbiased estimator, a high accuracy estimation of soil property could be obtained.

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Contemporary Machiavellian theses "The strategy of the role of the absurd state as a model"

Tikrit Journal For Political Science ◽

10.25130/poltic.v0i20.223 ◽

2020 ◽

pp. 3

Author(s):

Ali Hussein Hameed ◽

Saif Hayder AL.Husainy

Keyword(s):

International Relations ◽

Decision Maker ◽

Turning Point ◽

Information Revolution ◽

Main Hypothesis ◽

The Subject ◽

Area Of Influence ◽

The Right ◽

Modern Technologies

In the anarchism that governs the nature and patterns of international relations characterized by instability and uncertainty in light of several changes, as well as the information revolution and the resulting developments and qualitative breakthroughs in the field of scientific and advanced technological knowledge and modern technologies. All of these variables pushed toward the information flow and flow tremendously, so rationality became an indispensable matter for the decision maker as he faces these developments and changes. There must be awareness and rationality in any activity or behavior because it includes choosing the best alternative and making the right decision and selecting the information accurately and mental processing Through a mental system based on objectivity, methodology, and accumulated experience away from idealism and imagination, where irrationality and anarchy are a reflection of the fragility of the decision-maker, his lack of awareness of the subject matter, his irresponsibility, and recklessness that inevitably leads to failure by wasting time and Effort and potential. The topic acquires its importance from a search in the strategies of the frivolous state and its characteristics with the ability to influence the regional, and what it revealed is a turning point in how to adapt from the variables and employ them to their advantage and try to prove their existence. Thus, the problem comes in the form of a question about the possibility of the frivolous state in light of the context of various regional and international events and trends. The answer to this question stems from the main hypothesis that (the aim which the frustrating state seeks to prove is that it finds itself compelled to choose several strategies that start from the nature of its characteristics and the goals that aim at it, which are centered in the circle of its interests in the field of its struggle for the sake of its survival and area of influence).

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Site specific agricultural soil management with the use of new technologies

Global NEST Journal ◽

10.30955/gnj.001203 ◽

2013 ◽

Vol 16 (1) ◽

pp. 59-67

Keyword(s):

New Technologies ◽

Digital Interface ◽

Appropriate Treatment ◽

Wide Range ◽

Soil Variation ◽

Soil Information ◽

Remote Sensing Techniques ◽

Agricultural Areas

The Soil Science Institute of Thessaloniki produces new digitized Soil Maps that provide a useful electronic database for the spatial representation of the soil variation within a region, based on in situ soil sampling, laboratory analyses, GIS techniques and plant nutrition mathematical models, coupled with the local land cadastre. The novelty of these studies is that local agronomists have immediate access to a wide range of soil information by clicking on a field parcel shown in this digital interface and, therefore, can suggest an appropriate treatment (e.g. liming, manure incorporation, desalination, application of proper type and quantity of fertilizer) depending on the field conditions and cultivated crops. A specific case study is presented in the current work with regards to the construction of the digitized Soil Map of the regional unit of Kastoria. The potential of this map can easily be realized by the fact that the mapping of the physicochemical properties of the soils in this region provided delineation zones for differential fertilization management. An experiment was also conducted using remote sensing techniques for the enhancement of the fertilization advisory software database, which is a component of the digitized map, and the optimization of nitrogen management in agricultural areas.

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