The document outlines an e-learning course on digital soil mapping (DSM). The 9-week course covers basic soil mapping principles, the evolution of DSM, input data collection and preprocessing, predictive modeling techniques, mapping soil properties, and accuracy assessment. Participants who successfully complete the course and final exam will receive a DSM certificate from FAO. The course aims to help participants understand and apply DSM approaches to produce and document soil maps.
This presentation was presented during the Workshop on Soil Cabon Mapping of the Global Soil Partnership (GSP) that took place at FAO headquarters 23 November 2016. The presentation was made by Rainer Baritz, GSP Secretariat
Global Soil Organic Carbon Map GSOC : develop a global SOC by 5th Dec 2017FAO
This presentation was presented during the second workshop of the International Network of Soil Information Institutions (INSII) that took place at FAO headquarters 24-25 november 2016. The presentation was made by Liesl Wiese from the GSP Secretariat
This presentation was presented during the Workshop on Soil Cabon Mapping of the Global Soil Partnership (GSP) that took place at FAO headquarters 23 November 2016. The presentation was made by Neil McKenzie from the Commonwealth Scientific and Industrial Research Organisation, Australia
GSOC17 Introduction, Product specifications, Existing SOC maps and methodologiesFAO
The document provides information on developing national soil organic carbon (SOC) maps according to Global Soil Partnership specifications. It outlines the methodological considerations for a country-driven approach, including compiling national SOC measurements, developing SOC soil grids using digital soil mapping, and delivering 1km version 0 SOC maps. Detailed specifications are provided for sharing national SOC data and auxiliary information. The document also discusses capacity planning and sharing examples from other national SOC inventories to support the creation of a cookbook for developing SOC maps.
This presentation was presented during the Workshop on Soil Cabon Mapping of the Global Soil Partnership (GSP) that took place at FAO headquarters 23 November 2016. The presentation was made by Carlos Cruz-Gaistardo from the National Institute of Statistics and Geography, Mexico
Can global soil organic carbon maps be used in policy decisions on practical ...ExternalEvents
This presentation was presented during the 1 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Mats Söderström from CIAT - Kenya, in FAO Hq, Rome
This presentation was presented during the 1 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Rainer Baritz from FAO, in FAO Hq, Rome
Status and challenges for mapping, monitoring and MRV of SOCFAO
This presentation was presented during the Plenary 1, GSOC17 – Setting the scientific scene for GSOC17 of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Martial Bernoux from FAO, in FAO Hq, Rome
This presentation was presented during the Workshop on Soil Cabon Mapping of the Global Soil Partnership (GSP) that took place at FAO headquarters 23 November 2016. The presentation was made by Rainer Baritz, GSP Secretariat
Global Soil Organic Carbon Map GSOC : develop a global SOC by 5th Dec 2017FAO
This presentation was presented during the second workshop of the International Network of Soil Information Institutions (INSII) that took place at FAO headquarters 24-25 november 2016. The presentation was made by Liesl Wiese from the GSP Secretariat
This presentation was presented during the Workshop on Soil Cabon Mapping of the Global Soil Partnership (GSP) that took place at FAO headquarters 23 November 2016. The presentation was made by Neil McKenzie from the Commonwealth Scientific and Industrial Research Organisation, Australia
GSOC17 Introduction, Product specifications, Existing SOC maps and methodologiesFAO
The document provides information on developing national soil organic carbon (SOC) maps according to Global Soil Partnership specifications. It outlines the methodological considerations for a country-driven approach, including compiling national SOC measurements, developing SOC soil grids using digital soil mapping, and delivering 1km version 0 SOC maps. Detailed specifications are provided for sharing national SOC data and auxiliary information. The document also discusses capacity planning and sharing examples from other national SOC inventories to support the creation of a cookbook for developing SOC maps.
This presentation was presented during the Workshop on Soil Cabon Mapping of the Global Soil Partnership (GSP) that took place at FAO headquarters 23 November 2016. The presentation was made by Carlos Cruz-Gaistardo from the National Institute of Statistics and Geography, Mexico
Can global soil organic carbon maps be used in policy decisions on practical ...ExternalEvents
This presentation was presented during the 1 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Mats Söderström from CIAT - Kenya, in FAO Hq, Rome
This presentation was presented during the 1 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Rainer Baritz from FAO, in FAO Hq, Rome
Status and challenges for mapping, monitoring and MRV of SOCFAO
This presentation was presented during the Plenary 1, GSOC17 – Setting the scientific scene for GSOC17 of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Martial Bernoux from FAO, in FAO Hq, Rome
The presentation was given by Mr. Bas Kempen and Ms. V.L. Mulder, ISRIC, during the GSOC Mapping Global Training hosted by ISRIC - World Soil Information, 6 - 23 June 2017, Wageningen (The Netherlands).
Global space-time soil organic carbon assessmentExternalEvents
This document summarizes the GlobalSoilMap project's efforts to produce a global digital soil database with soil organic carbon and other properties mapped at 100m resolution. A two-step modeling approach was used to generate baseline SOC predictions for 2001 and then track changes over time as land cover changes occurred between 2001-2013. Approximately 14,890 million pixels were tracked over this period, showing significant global carbon losses. The final product provides spatially explicit SOC predictions and estimates of change over time at a resolution useful for modeling and management.
Soil Organic Carbon mapping by geo- and class- matchingExternalEvents
The presentation was given by Mr. Bas Kempen & Ms. V.L. Mulder, ISRIC, during the GSOC Mapping Global Training hosted by ISRIC - World Soil Information, 6 - 23 June 2017, Wageningen (The Netherlands).
As part of the GSP’s capacity development and improvement programme, FAO/GSP have organised a one week training in Izmir, Turkey. The main goal of the training was to increase the capacity of Turkey on digital soil mapping, new approaches on data collection, data processing and modelling of soil organic carbon. This 5 day training is titled ‘’Training on Digital Soil Organic Carbon Mapping’’ was held in IARTC - International Agricultural Research and Education Center in Menemen, Izmir on 20-25 August, 2017.
The document discusses methods for generating a global soil organic carbon map. It describes using data from the Harmonized World Soil Database to calculate soil organic carbon stocks in the topsoil layer (0-30 cm) and subsoil layers (30-100 cm), and combining these values to estimate stocks to a 1m depth. Where data is missing, values are supplemented from other sources. The document also discusses analytical methods for determining soil organic matter and carbon, and calculating carbon stocks based on parameters like bulk density and stone content. Upscaling procedures are described, with digital soil mapping identified as the preferred method.
The presentation was given by Mr. Yusuf Yigini, FAO, during the GSOC Mapping Global Training hosted by ISRIC - World Soil Information, 6 - 23 June 2017, Wageningen (The Netherlands).
3. Technical introduction to the Digital Soil MappingFAO
Digital soil mapping involves creating digital maps of soil types and properties by using numerical models. It utilizes legacy soil data such as soil samples, profiles, and maps along with spatial data on soil forming factors like climate, organisms, relief, parent material, and lithology. Common soil inference models used in digital soil mapping include data mining techniques like regression, classification trees, and neural networks as well as geostatistical methods. The process produces quantified estimates of prediction uncertainty since soil variation cannot be perfectly modeled.
As part of the GSP’s capacity development and improvement programme, FAO/GSP have organised a one week training in Izmir, Turkey. The main goal of the training was to increase the capacity of Turkey on digital soil mapping, new approaches on data collection, data processing and modelling of soil organic carbon. This 5 day training is titled ‘’Training on Digital Soil Organic Carbon Mapping’’ was held in IARTC - International Agricultural Research and Education Center in Menemen, Izmir on 20-25 August, 2017.
Towards a Tier 3 approach to estimate SOC stocks at sub-regional scale in Sou...ExternalEvents
This presentation was presented during the 2 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Ms. Roberta Farina, from CREA - Italy, in FAO Hq, Rome
The presentation was given by Mr. Bas Kempen & Ms. V.L. Mulder, ISRIC, during the GSOC Mapping Global Training hosted by ISRIC - World Soil Information, 6 - 23 June 2017, Wageningen (The Netherlands).
This presentation was presented during the Plenary 1, Opening Ceremony of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Ms. Anne Larigauderies, Executive Secreatry of IPBES, in FAO Hq, Rome
Estimating soil organic carbon changes: is it feasible?ExternalEvents
This presentation was presented during the Plenary 1, GSOC17 – Setting the scientific scene for GSOC17 of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Ms. Eleanor Milne from Colorado State University - USA, in FAO Hq, Rome
This presentation was presented during the second workshop of the International Network of Soil Information Institutions (INSII) that took place at FAO headquarters 24-25 november 2016. The presentation was made by Rainer Baritz from the GSP Secretariat on behalf of the Pillar 4 working group
Soil carbon models for carbon stock estimation – where do we fail?ExternalEvents
This presentation was presented during the 2 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Aleksi Lethonen, from Natural Resources Institute - Finland, in FAO Hq, Rome
This document discusses the use of base maps in soil surveys. It defines a base map as a map that provides fundamental geographic information that can be overlaid with additional data. The document then describes several common types of base maps used in soil surveys, including line maps, cadastral maps, planimetric maps, and topographic maps. Each base map type provides different levels of geographic detail and features.
New Measurement and Mapping of SOC in Australia supports national carbon acco...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Raphael Viscarra-Rossel from CSIRO - Australia, in FAO Hq, Rome
Presented by Zuelclady M.F Araujo Gutierrez, IDOM, at Online Workshop Capacity Building on the IPCC 2013 Wetlands Supplement, FREL Diagnostic and Uncertainty Analysis, April 16th, 2020
This document provides an overview of geographic information systems (GIS). It discusses key concepts such as how GIS integrates remote sensing, mapping, GPS and other technologies to analyze spatial data. It describes the potential of GIS for applications in natural resource management, infrastructure development and other fields. Finally, it discusses GIS software, hardware requirements and the size of the GIS market in India.
Spatial data infrastructure in KyrgyzstanUnison Group
The document discusses the limitations of Kyrgyzstan's spatial data infrastructure and the implications for climate adaptation efforts. It finds that there is currently no national SDI, and data exists in silos with poor coordination and data sharing between institutions. This poses challenges for climate adaptation projects that require spatial data on topics like boundaries, satellite imagery, and climate/weather. The document recommends establishing a working group to develop an NSDI through improved data access, standards, and awareness of SDI benefits. This could help adaptation efforts and unlock economic opportunities through increased transparency, efficiency and investment.
The presentation was given by Mr. Bas Kempen and Ms. V.L. Mulder, ISRIC, during the GSOC Mapping Global Training hosted by ISRIC - World Soil Information, 6 - 23 June 2017, Wageningen (The Netherlands).
Global space-time soil organic carbon assessmentExternalEvents
This document summarizes the GlobalSoilMap project's efforts to produce a global digital soil database with soil organic carbon and other properties mapped at 100m resolution. A two-step modeling approach was used to generate baseline SOC predictions for 2001 and then track changes over time as land cover changes occurred between 2001-2013. Approximately 14,890 million pixels were tracked over this period, showing significant global carbon losses. The final product provides spatially explicit SOC predictions and estimates of change over time at a resolution useful for modeling and management.
Soil Organic Carbon mapping by geo- and class- matchingExternalEvents
The presentation was given by Mr. Bas Kempen & Ms. V.L. Mulder, ISRIC, during the GSOC Mapping Global Training hosted by ISRIC - World Soil Information, 6 - 23 June 2017, Wageningen (The Netherlands).
As part of the GSP’s capacity development and improvement programme, FAO/GSP have organised a one week training in Izmir, Turkey. The main goal of the training was to increase the capacity of Turkey on digital soil mapping, new approaches on data collection, data processing and modelling of soil organic carbon. This 5 day training is titled ‘’Training on Digital Soil Organic Carbon Mapping’’ was held in IARTC - International Agricultural Research and Education Center in Menemen, Izmir on 20-25 August, 2017.
The document discusses methods for generating a global soil organic carbon map. It describes using data from the Harmonized World Soil Database to calculate soil organic carbon stocks in the topsoil layer (0-30 cm) and subsoil layers (30-100 cm), and combining these values to estimate stocks to a 1m depth. Where data is missing, values are supplemented from other sources. The document also discusses analytical methods for determining soil organic matter and carbon, and calculating carbon stocks based on parameters like bulk density and stone content. Upscaling procedures are described, with digital soil mapping identified as the preferred method.
The presentation was given by Mr. Yusuf Yigini, FAO, during the GSOC Mapping Global Training hosted by ISRIC - World Soil Information, 6 - 23 June 2017, Wageningen (The Netherlands).
3. Technical introduction to the Digital Soil MappingFAO
Digital soil mapping involves creating digital maps of soil types and properties by using numerical models. It utilizes legacy soil data such as soil samples, profiles, and maps along with spatial data on soil forming factors like climate, organisms, relief, parent material, and lithology. Common soil inference models used in digital soil mapping include data mining techniques like regression, classification trees, and neural networks as well as geostatistical methods. The process produces quantified estimates of prediction uncertainty since soil variation cannot be perfectly modeled.
As part of the GSP’s capacity development and improvement programme, FAO/GSP have organised a one week training in Izmir, Turkey. The main goal of the training was to increase the capacity of Turkey on digital soil mapping, new approaches on data collection, data processing and modelling of soil organic carbon. This 5 day training is titled ‘’Training on Digital Soil Organic Carbon Mapping’’ was held in IARTC - International Agricultural Research and Education Center in Menemen, Izmir on 20-25 August, 2017.
Towards a Tier 3 approach to estimate SOC stocks at sub-regional scale in Sou...ExternalEvents
This presentation was presented during the 2 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Ms. Roberta Farina, from CREA - Italy, in FAO Hq, Rome
The presentation was given by Mr. Bas Kempen & Ms. V.L. Mulder, ISRIC, during the GSOC Mapping Global Training hosted by ISRIC - World Soil Information, 6 - 23 June 2017, Wageningen (The Netherlands).
This presentation was presented during the Plenary 1, Opening Ceremony of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Ms. Anne Larigauderies, Executive Secreatry of IPBES, in FAO Hq, Rome
Estimating soil organic carbon changes: is it feasible?ExternalEvents
This presentation was presented during the Plenary 1, GSOC17 – Setting the scientific scene for GSOC17 of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Ms. Eleanor Milne from Colorado State University - USA, in FAO Hq, Rome
This presentation was presented during the second workshop of the International Network of Soil Information Institutions (INSII) that took place at FAO headquarters 24-25 november 2016. The presentation was made by Rainer Baritz from the GSP Secretariat on behalf of the Pillar 4 working group
Soil carbon models for carbon stock estimation – where do we fail?ExternalEvents
This presentation was presented during the 2 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Aleksi Lethonen, from Natural Resources Institute - Finland, in FAO Hq, Rome
This document discusses the use of base maps in soil surveys. It defines a base map as a map that provides fundamental geographic information that can be overlaid with additional data. The document then describes several common types of base maps used in soil surveys, including line maps, cadastral maps, planimetric maps, and topographic maps. Each base map type provides different levels of geographic detail and features.
New Measurement and Mapping of SOC in Australia supports national carbon acco...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Raphael Viscarra-Rossel from CSIRO - Australia, in FAO Hq, Rome
Presented by Zuelclady M.F Araujo Gutierrez, IDOM, at Online Workshop Capacity Building on the IPCC 2013 Wetlands Supplement, FREL Diagnostic and Uncertainty Analysis, April 16th, 2020
This document provides an overview of geographic information systems (GIS). It discusses key concepts such as how GIS integrates remote sensing, mapping, GPS and other technologies to analyze spatial data. It describes the potential of GIS for applications in natural resource management, infrastructure development and other fields. Finally, it discusses GIS software, hardware requirements and the size of the GIS market in India.
Spatial data infrastructure in KyrgyzstanUnison Group
The document discusses the limitations of Kyrgyzstan's spatial data infrastructure and the implications for climate adaptation efforts. It finds that there is currently no national SDI, and data exists in silos with poor coordination and data sharing between institutions. This poses challenges for climate adaptation projects that require spatial data on topics like boundaries, satellite imagery, and climate/weather. The document recommends establishing a working group to develop an NSDI through improved data access, standards, and awareness of SDI benefits. This could help adaptation efforts and unlock economic opportunities through increased transparency, efficiency and investment.
The document discusses establishing geospatial analysis capabilities within an exploration environment. It outlines collecting all relevant exploration data, representing it properly in a GIS database, and generating continuous geospatial grids using deterministic and geostatistical methods. These grids would support spatial analysis and decision making by allowing visualization and queries of parameters like probability of success. Maintaining data quality and understanding relationships between different data types is important for effective analysis.
This document provides an overview of Geographic Information Systems (GIS). It defines GIS as a system for capturing, storing, analyzing and displaying spatially referenced data. GIS links graphical map features to tabular attribute data. Spatial data can be represented as raster (grid cells) or vector (points, lines and polygons) formats. GIS performs functions like data input, storage, analysis including overlay and buffering, and output in maps and tables. Examples of GIS applications discussed include site selection, flight planning, facilities management, and military planning tools like battlefield visualization and convoy routing analysis.
Stephen Kuhlman seeks a position providing data management support for geologic interpretation in oil and gas exploration. He has over 20 years of experience managing geospatial datasets including seismic data, well logs, and geologic models. His skills include GIS analysis, 3D modeling, database management, and software such as Petrel, Rockworks, and ArcGIS. He holds a B.Sc. in Geophysics and has worked on projects involving environmental remediation and oil/gas exploration.
This document discusses the use of geographic information systems (GIS) for exploration spatial analysis (ESA) to support critical decision making in exploration workflows. It addresses:
1) The need to create GIS grids from point data to represent exploration attributes like probability of success factors. Both deterministic and geostatistical gridding methods are discussed.
2) How to create geostatistical grids that account for spatial dependence and variability to improve probability of success estimations. Key steps involve checking for non-stationarity, detecting trends, identifying outliers, and examining spatial autocorrelation.
3) The types of critical exploration data needed for GIS grids, including reservoir, trap, seal, and charge factors, as well
This document provides an overview of geographic information systems (GIS) and introduces key concepts related to GIS. It outlines the objectives of GIS as handling geographical data through spatial analysis and modeling. The document then covers various GIS topics like representing real world data, software, data modeling, databases, and applications. It emphasizes that GIS is a system for capturing, storing, analyzing and managing spatial or geographic data and associated attributes.
The document provides course descriptions and prerequisites for training sessions at NCTC in Shepherdstown, WV on June 14, 2011. The first course is on ArcGIS 10 and requires a basic understanding of ArcGIS 9.x. It will cover new features, tools, editing workflows and more. The second course is on coordinate systems and best GPS practices, requiring experience with GPS and GIS software. It will cover aligning GPS and GIS data, selecting appropriate coordinate systems and datums, and best practices for GPS data collection. The last course listed is an internet mapping overview with no prerequisites that will discuss trends in internet mapping and how to communicate geographic data online.
GIS is a computer system for capturing, storing, analyzing and displaying geographic information. It allows users to integrate digital maps, aerial photos, satellite images and GPS data. The presentation introduces GIS components, data models, how GIS works in a 5 step process, and examples of GIS applications for 3D city modeling, traffic simulation, watershed delineation and political analysis. It also discusses the ArcGIS software suite, including ArcMap for mapping, ArcCatalog for data management and ArcToolbox for geoprocessing tools.
Emad Almasadeh has over 30 years of experience in cartography, GIS, and geospatial data management. He has worked on projects in Jordan, UAE, and the US involving production of topographic maps, database development, spatial analysis, and training. Currently he is a specialist at Bayanat for Mapping and Survey Services in Abu Dhabi, where he develops production plans and procedures, performs quality control, and creates navigable models and datasets from topographic maps.
The USGS is researching vector-based change detection to help minimize data maintenance costs for products like US Topo Maps and 1:1M-scale data. This includes evaluating coarse data sources to identify changes and developing tools to detect changes between databases, flag changed features, and identify which products need updates. A case study analyzing changes over 67 days found that these tools could reduce the number of vector staged products needing refresh by over 80%. The USGS aims to refine threshold change detection and apply it to tailoring update cycles for individual US Topo Maps and features classes.
This document summarizes a case study of implementing a mobile GIS system to support invasive species management strategies in Hawaii. Kauai island is working to detect mongooses, which could threaten native bird populations. Field staff needed accurate spatial data collection and map access in remote areas. The implemented solution involved collecting GPS data using rugged tablets and mapping GPS units. Field data integrated with an ArcGIS geodatabase to support analysis. Staff training covered GPS fundamentals and using the mobile devices and field software. The mobile GIS system improved spatial data quality, automated data transfer, and provided real-time map access to support effective invasive species detection and management.
Vinay Kumar is seeking a position in GIS or a related field that provides career development opportunities. He has over 2 years of experience in GIS tasks including network analysis, thematic mapping, modeling, geoprocessing, and data management. His skills include ArcGIS, ERDAS Imagine, AutoCAD, QGIS, Surfer, MATLAB, and Microsoft Excel. As a GIS analyst, his duties included using ArcMap for spatial analysis, data collection using GPS and total station, and map production. He has an M.Sc. in Applied Geology and Remote Sensing and GIS from Kuvempu University.
The document summarizes discussions from a National Geospatial Program conference. It describes updates to the National Map viewer and digital map services, including new visualization, download, and GIS functions. It also outlines goals and strategic planning for the National Geospatial Program, including collecting stakeholder requirements and defining the future of the National Map.
This document discusses how ExxonMobil Exploration Company integrated GIS technology into the work processes of multidisciplinary geoscience professionals to facilitate collaboration, synthesis, and analysis of regional geology data. Key techniques included compiling all spatial data within a common GIS environment, georeferencing maps and images, and classifying and integrating historic well data. This integration of GIS allowed seamless collaboration between geoscience specialists in different locations and disciplines and created a fully integrated geological understanding.
Dom Breadmore (@predacomdom) 's presentation on GPS and Geolocation ideas for Education delivered as part of Teachmeet Takeover at BETT 2011, Olympia, London.
Rajesh Kumar Dhinwa is currently a GIS Analyst at Cairn India Ltd, an oil and gas exploration company based in India. He has over 6 years of experience in GIS, CAD, and mapping roles in industries including telecom, utilities, and oil and gas. His responsibilities include supporting geospatial mapping needs, seismic data quality control, prospect mapping, well planning, and providing geomatics support across various teams. He has expertise in GIS software such as ArcGIS and skills in remote sensing, geodatabases, and integrating spatial data.
This document discusses the application of geographic information systems (GIS) techniques to exploration and production (E&P) data management and subsurface interpretation. It covers how GIS provides tools for data organization, visualization, querying, editing, spatial analysis, geoprocessing, and prediction. These capabilities allow GIS to be used across various stages of the E&P lifecycle including exploration, drilling, production, refining, transmission, and data management. The document concludes that using GIS in the oil and gas industry enables better decision making, cost savings and efficiency gains, and improved communication.
Similar to Capacity development on Digital soil Mapping (20)
The ICRAF Soil-Plant Spectral Diagnostics Laboratory in Kenya operates 1 spectral reference laboratory and provides technical support to 30 labs in 17 countries. It has helped build capacities for private mobile testing services and is working on developing handheld near-infrared spectrometers. The lab specializes in customized solutions, standard operating procedures, project planning, soil and plant health monitoring, and spectral technology support and training. It aims to improve end-to-end spectral advisory software and develop low-cost handheld devices. Through GLOSOLAN, the lab hopes to standardize dry spectroscopy methods, protocols, and data analysis globally.
The National Soil Testing Center (NSTC) in Ethiopia has 18 soil analysis laboratories in various government ministries. The presenter, Fikre Mekuria, notes that the NSTC's strengths are its analytical service delivery, training, and research on soil microbiology and fertility. Areas for improvement include capacity building, sample exchange/quality control, and accreditation to international standards. The presenter's expectations for the meeting and GLOSOLAN network are to develop competency in soil/plant/water/fertilizer analysis, have periodic country member meetings, and share experiences.
Standard operating procedures (SOPs) are important to have in writing to ensure quality and consistency. Quality assurance (QA) policies aim to prevent errors and ensure standards, while quality control (QC) checks that standards are being met. This poster exercise divides participants into groups to discuss why SOPs are important, what quality assurance entails, whether an organization has a QA policy and how it is implemented, and how quality control is performed.
This document provides an overview of the status of soil laboratories in AFRILAB based on information received from various sources, including ZimLabs, AgLabs, the University of Zimbabwe lab, University of Nottingham, British Geological Survey, Chemistry and Soil Research Institute RS-DFID, WEPAL-ISE, WEPAL-IPE, University of Texas A&M, AgriLASA, BIPEA, CORESTA, University of Texas A&M (who provided testimony of satisfaction), and TUNAC (who provided accreditation). The document thanks the reader for their attention.
Item 9: Soil mapping to support sustainable agricultureExternalEvents
SOIL ATLAS OF ASIA
2ND EDITORIAL BOARD MEETING
RURAL DEVELOPMENT ADMINISTRATION, NATIONAL INSTITUTE OF AGRICULTURAL SCIENCES,
JEONJU, REPUBLIC OF KOREA | 29 APRIL – 3 MAY 2019
Markus Anda (Indonesia)
Item 8: WRB, World Reference Base for Soil ResoucesExternalEvents
SOIL ATLAS OF ASIA
2ND EDITORIAL BOARD MEETING
RURAL DEVELOPMENT ADMINISTRATION, NATIONAL INSTITUTE OF AGRICULTURAL SCIENCES,
JEONJU, REPUBLIC OF KOREA | 29 APRIL – 3 MAY 2019
Satira Udomsri (Thailand)
- Nepal has been working to systematically classify its soils since 1957, completing surveys of 55 districts by 1983, though some high hill districts remained unsurveyed for a long time.
- In 1998 and 2014, soil maps of Nepal were prepared using the USDA and WRB soil classification systems, respectively. Around 6000 soil profiles were studied from five physiographic regions.
- The data from 158 representative soil profiles were analyzed and converted to fit the HWSD format using formulas from Batjes et al. 2017 to standardize the data into layers from 0-30 cm and 30-100 cm.
- Major soils identified include Calcaric Fluvisols, Eutric Gleysols, Calcaric Ph
Item 6: International Center for Biosaline AgricultureExternalEvents
SOIL ATLAS OF ASIA
2ND EDITORIAL BOARD MEETING
RURAL DEVELOPMENT ADMINISTRATION, NATIONAL INSTITUTE OF AGRICULTURAL SCIENCES,
JEONJU, REPUBLIC OF KOREA | 29 APRIL – 3 MAY 2019
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
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How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
1. Capacity development on DSM
2nd Workshop of the INSII
Guillermo Federico Olmedo and Christian Omuto
23-25 November 2016, FAO HQ, Malaysia Room, Rome,
Italy
2. DSM
e learning course on DSM
soil mapping principles, DSM practice, and product
dissemination:
It begins by exposure to the basic principles of soil
formation and soil mapping, then illustrates the evolution of
soil mapping paradigms and advent of DSM, stresses on
the application of computing and GIS, and finally
demonstrating how to document and disseminate DSM
products.
Users of soil information intending to build their own
soil-map databases can also benefit from the course.
Duration: 9 learning weeks and a final examination
Certification: Successful participants will be given DSM
certificate of FAO, GSP
3. DSM
Course objectives
Understand the meaning and evolution of the concept of
digital soil mapping (DSM)
Understand soil mapping principles
Appreciate the differences between conventional and
digital soil mapping approaches
Identify sources of input data for DSM
Evaluate input and output data in a DSM process
Appreciate the strengths and weakness of legacy data,
computing and GIS in DSM
Produce a soil map using DSM approach
Properly document DSM products
5. DSM
Contents
Introduction to Digital Soil Mapping (1 week)
Soil formation and need for soil mapping
Conventional soil profile classification and soil mapping
Challenges with conventional soil Mapping
Evolution of digital soil mapping paradigm
Meaning, theory, Concepts and misconceptions
Soil mapping caucuses and fora
DSM specifications
DSM steps and requirements
Exercise (traditional soil classification and mapping)
6. DSM
Contents
Introduction to Digital Soil Mapping (1 week)
Soil formation and need for soil mapping
Conventional soil profile classification and soil mapping
Challenges with conventional soil Mapping
Evolution of digital soil mapping paradigm
Meaning, theory, Concepts and misconceptions
Soil mapping caucuses and fora
DSM specifications
DSM steps and requirements
Exercise (traditional soil classification and mapping)
7. DSM
Contents
Introduction to Digital Soil Mapping (1 week)
Soil formation and need for soil mapping
Conventional soil profile classification and soil mapping
Challenges with conventional soil Mapping
Evolution of digital soil mapping paradigm
Meaning, theory, Concepts and misconceptions
Soil mapping caucuses and fora
DSM specifications
DSM steps and requirements
Exercise (traditional soil classification and mapping)
8. DSM
Contents
Introduction to Digital Soil Mapping (1 week)
Soil formation and need for soil mapping
Conventional soil profile classification and soil mapping
Challenges with conventional soil Mapping
Evolution of digital soil mapping paradigm
Meaning, theory, Concepts and misconceptions
Soil mapping caucuses and fora
DSM specifications
DSM steps and requirements
Exercise (traditional soil classification and mapping)
9. DSM
Contents
Introduction to Digital Soil Mapping (1 week)
Soil formation and need for soil mapping
Conventional soil profile classification and soil mapping
Challenges with conventional soil Mapping
Evolution of digital soil mapping paradigm
Meaning, theory, Concepts and misconceptions
Soil mapping caucuses and fora
DSM specifications
DSM steps and requirements
Exercise (traditional soil classification and mapping)
10. DSM
Contents
Introduction to Digital Soil Mapping (1 week)
Soil formation and need for soil mapping
Conventional soil profile classification and soil mapping
Challenges with conventional soil Mapping
Evolution of digital soil mapping paradigm
Meaning, theory, Concepts and misconceptions
Soil mapping caucuses and fora
DSM specifications
DSM steps and requirements
Exercise (traditional soil classification and mapping)
11. DSM
Contents
Introduction to Digital Soil Mapping (1 week)
Soil formation and need for soil mapping
Conventional soil profile classification and soil mapping
Challenges with conventional soil Mapping
Evolution of digital soil mapping paradigm
Meaning, theory, Concepts and misconceptions
Soil mapping caucuses and fora
DSM specifications
DSM steps and requirements
Exercise (traditional soil classification and mapping)
12. DSM
Contents
Introduction to Digital Soil Mapping (1 week)
Soil formation and need for soil mapping
Conventional soil profile classification and soil mapping
Challenges with conventional soil Mapping
Evolution of digital soil mapping paradigm
Meaning, theory, Concepts and misconceptions
Soil mapping caucuses and fora
DSM specifications
DSM steps and requirements
Exercise (traditional soil classification and mapping)
13. DSM
Contents
Introduction to Digital Soil Mapping (1 week)
Soil formation and need for soil mapping
Conventional soil profile classification and soil mapping
Challenges with conventional soil Mapping
Evolution of digital soil mapping paradigm
Meaning, theory, Concepts and misconceptions
Soil mapping caucuses and fora
DSM specifications
DSM steps and requirements
Exercise (traditional soil classification and mapping)
14. DSM
Contents
Introduction to Digital Soil Mapping (1 week)
Soil formation and need for soil mapping
Conventional soil profile classification and soil mapping
Challenges with conventional soil Mapping
Evolution of digital soil mapping paradigm
Meaning, theory, Concepts and misconceptions
Soil mapping caucuses and fora
DSM specifications
DSM steps and requirements
Exercise (traditional soil classification and mapping)
15. DSM
Contents
Input data documentation (1 week)
Identifying data sources
Collecting and documenting data sources
Introduction to software for building GIS database (GIS
data preprocessing operations)
Exercise (GIS database development)
16. DSM
Contents
Input data documentation (1 week)
Identifying data sources
Collecting and documenting data sources
Introduction to software for building GIS database (GIS
data preprocessing operations)
Exercise (GIS database development)
17. DSM
Contents
Input data documentation (1 week)
Identifying data sources
Collecting and documenting data sources
Introduction to software for building GIS database (GIS
data preprocessing operations)
Exercise (GIS database development)
18. DSM
Contents
Input data documentation (1 week)
Identifying data sources
Collecting and documenting data sources
Introduction to software for building GIS database (GIS
data preprocessing operations)
Exercise (GIS database development)
19. DSM
Contents
Input data documentation (1 week)
Identifying data sources
Collecting and documenting data sources
Introduction to software for building GIS database (GIS
data preprocessing operations)
Exercise (GIS database development)
20. DSM
Contents
Data preprocessing and GIS database development (1
week)
Steps for building GIS database
Identifying data characteristics
Identifying data preprocessing needs
GIS preprocessing operations (coordinate transformation,
Image correction, spatial interpolation, format conversion,
clip operations, terrain modeling)
Harmonizing lateral and vertical data uniformity and
statistical uniformity
Developing a stack of harmonized GIS layers (SCORPAN
factors)
Build and document PCA of input data
Exercise (Building PCA of SCORPAN factors)
21. DSM
Contents
Data preprocessing and GIS database development (1
week)
Steps for building GIS database
Identifying data characteristics
Identifying data preprocessing needs
GIS preprocessing operations (coordinate transformation,
Image correction, spatial interpolation, format conversion,
clip operations, terrain modeling)
Harmonizing lateral and vertical data uniformity and
statistical uniformity
Developing a stack of harmonized GIS layers (SCORPAN
factors)
Build and document PCA of input data
Exercise (Building PCA of SCORPAN factors)
22. DSM
Contents
Data preprocessing and GIS database development (1
week)
Steps for building GIS database
Identifying data characteristics
Identifying data preprocessing needs
GIS preprocessing operations (coordinate transformation,
Image correction, spatial interpolation, format conversion,
clip operations, terrain modeling)
Harmonizing lateral and vertical data uniformity and
statistical uniformity
Developing a stack of harmonized GIS layers (SCORPAN
factors)
Build and document PCA of input data
Exercise (Building PCA of SCORPAN factors)
23. DSM
Contents
Data preprocessing and GIS database development (1
week)
Steps for building GIS database
Identifying data characteristics
Identifying data preprocessing needs
GIS preprocessing operations (coordinate transformation,
Image correction, spatial interpolation, format conversion,
clip operations, terrain modeling)
Harmonizing lateral and vertical data uniformity and
statistical uniformity
Developing a stack of harmonized GIS layers (SCORPAN
factors)
Build and document PCA of input data
Exercise (Building PCA of SCORPAN factors)
24. DSM
Contents
Data preprocessing and GIS database development (1
week)
Steps for building GIS database
Identifying data characteristics
Identifying data preprocessing needs
GIS preprocessing operations (coordinate transformation,
Image correction, spatial interpolation, format conversion,
clip operations, terrain modeling)
Harmonizing lateral and vertical data uniformity and
statistical uniformity
Developing a stack of harmonized GIS layers (SCORPAN
factors)
Build and document PCA of input data
Exercise (Building PCA of SCORPAN factors)
25. DSM
Contents
Data preprocessing and GIS database development (1
week)
Steps for building GIS database
Identifying data characteristics
Identifying data preprocessing needs
GIS preprocessing operations (coordinate transformation,
Image correction, spatial interpolation, format conversion,
clip operations, terrain modeling)
Harmonizing lateral and vertical data uniformity and
statistical uniformity
Developing a stack of harmonized GIS layers (SCORPAN
factors)
Build and document PCA of input data
Exercise (Building PCA of SCORPAN factors)
26. DSM
Contents
Data preprocessing and GIS database development (1
week)
Steps for building GIS database
Identifying data characteristics
Identifying data preprocessing needs
GIS preprocessing operations (coordinate transformation,
Image correction, spatial interpolation, format conversion,
clip operations, terrain modeling)
Harmonizing lateral and vertical data uniformity and
statistical uniformity
Developing a stack of harmonized GIS layers (SCORPAN
factors)
Build and document PCA of input data
Exercise (Building PCA of SCORPAN factors)
27. DSM
Contents
Data preprocessing and GIS database development (1
week)
Steps for building GIS database
Identifying data characteristics
Identifying data preprocessing needs
GIS preprocessing operations (coordinate transformation,
Image correction, spatial interpolation, format conversion,
clip operations, terrain modeling)
Harmonizing lateral and vertical data uniformity and
statistical uniformity
Developing a stack of harmonized GIS layers (SCORPAN
factors)
Build and document PCA of input data
Exercise (Building PCA of SCORPAN factors)
28. DSM
Contents
Data preprocessing and GIS database development (1
week)
Steps for building GIS database
Identifying data characteristics
Identifying data preprocessing needs
GIS preprocessing operations (coordinate transformation,
Image correction, spatial interpolation, format conversion,
clip operations, terrain modeling)
Harmonizing lateral and vertical data uniformity and
statistical uniformity
Developing a stack of harmonized GIS layers (SCORPAN
factors)
Build and document PCA of input data
Exercise (Building PCA of SCORPAN factors)
29. DSM
Contents
Introduction to DSM predictive models (2 weeks)
Parametric models
Non-parametric models
Neural networks
Exercise (software selection)
Software for DSM predictive modeling (1 weeks)
Commercial software
Free and open source software
Example applications
Exercise (DSM predictive modeling)
30. DSM
Contents
Introduction to DSM predictive models (2 weeks)
Parametric models
Non-parametric models
Neural networks
Exercise (software selection)
Software for DSM predictive modeling (1 weeks)
Commercial software
Free and open source software
Example applications
Exercise (DSM predictive modeling)
31. DSM
Contents
Introduction to DSM predictive models (2 weeks)
Parametric models
Non-parametric models
Neural networks
Exercise (software selection)
Software for DSM predictive modeling (1 weeks)
Commercial software
Free and open source software
Example applications
Exercise (DSM predictive modeling)
32. DSM
Contents
Introduction to DSM predictive models (2 weeks)
Parametric models
Non-parametric models
Neural networks
Exercise (software selection)
Software for DSM predictive modeling (1 weeks)
Commercial software
Free and open source software
Example applications
Exercise (DSM predictive modeling)
33. DSM
Contents
Introduction to DSM predictive models (2 weeks)
Parametric models
Non-parametric models
Neural networks
Exercise (software selection)
Software for DSM predictive modeling (1 weeks)
Commercial software
Free and open source software
Example applications
Exercise (DSM predictive modeling)
34. DSM
Contents
Introduction to DSM predictive models (2 weeks)
Parametric models
Non-parametric models
Neural networks
Exercise (software selection)
Software for DSM predictive modeling (1 weeks)
Commercial software
Free and open source software
Example applications
Exercise (DSM predictive modeling)
35. DSM
Contents
Introduction to DSM predictive models (2 weeks)
Parametric models
Non-parametric models
Neural networks
Exercise (software selection)
Software for DSM predictive modeling (1 weeks)
Commercial software
Free and open source software
Example applications
Exercise (DSM predictive modeling)
36. DSM
Contents
Introduction to DSM predictive models (2 weeks)
Parametric models
Non-parametric models
Neural networks
Exercise (software selection)
Software for DSM predictive modeling (1 weeks)
Commercial software
Free and open source software
Example applications
Exercise (DSM predictive modeling)
37. DSM
Contents
Introduction to DSM predictive models (2 weeks)
Parametric models
Non-parametric models
Neural networks
Exercise (software selection)
Software for DSM predictive modeling (1 weeks)
Commercial software
Free and open source software
Example applications
Exercise (DSM predictive modeling)
38. DSM
Contents
Introduction to DSM predictive models (2 weeks)
Parametric models
Non-parametric models
Neural networks
Exercise (software selection)
Software for DSM predictive modeling (1 weeks)
Commercial software
Free and open source software
Example applications
Exercise (DSM predictive modeling)
39. DSM
Contents
DSM of soil properties (1 week)
Mapping of continuous soil properties
Mapping of categorical soil properties
Exercise (DSM of soil properties)
Accuracy assessment of DSM outputs (1 week)
Meaning of accuracy and uncertainty
Methods of uncertainty and accuracy assessment
Reporting uncertainty and accuracy
Uncertainty and accuracy assessment of DSM outputs
Exercise (Uncertainty and Accuracy assessment of DSM)
40. DSM
Contents
DSM of soil properties (1 week)
Mapping of continuous soil properties
Mapping of categorical soil properties
Exercise (DSM of soil properties)
Accuracy assessment of DSM outputs (1 week)
Meaning of accuracy and uncertainty
Methods of uncertainty and accuracy assessment
Reporting uncertainty and accuracy
Uncertainty and accuracy assessment of DSM outputs
Exercise (Uncertainty and Accuracy assessment of DSM)
41. DSM
Contents
DSM of soil properties (1 week)
Mapping of continuous soil properties
Mapping of categorical soil properties
Exercise (DSM of soil properties)
Accuracy assessment of DSM outputs (1 week)
Meaning of accuracy and uncertainty
Methods of uncertainty and accuracy assessment
Reporting uncertainty and accuracy
Uncertainty and accuracy assessment of DSM outputs
Exercise (Uncertainty and Accuracy assessment of DSM)
42. DSM
Contents
DSM of soil properties (1 week)
Mapping of continuous soil properties
Mapping of categorical soil properties
Exercise (DSM of soil properties)
Accuracy assessment of DSM outputs (1 week)
Meaning of accuracy and uncertainty
Methods of uncertainty and accuracy assessment
Reporting uncertainty and accuracy
Uncertainty and accuracy assessment of DSM outputs
Exercise (Uncertainty and Accuracy assessment of DSM)
43. DSM
Contents
DSM of soil properties (1 week)
Mapping of continuous soil properties
Mapping of categorical soil properties
Exercise (DSM of soil properties)
Accuracy assessment of DSM outputs (1 week)
Meaning of accuracy and uncertainty
Methods of uncertainty and accuracy assessment
Reporting uncertainty and accuracy
Uncertainty and accuracy assessment of DSM outputs
Exercise (Uncertainty and Accuracy assessment of DSM)
44. DSM
Contents
DSM of soil properties (1 week)
Mapping of continuous soil properties
Mapping of categorical soil properties
Exercise (DSM of soil properties)
Accuracy assessment of DSM outputs (1 week)
Meaning of accuracy and uncertainty
Methods of uncertainty and accuracy assessment
Reporting uncertainty and accuracy
Uncertainty and accuracy assessment of DSM outputs
Exercise (Uncertainty and Accuracy assessment of DSM)
45. DSM
Contents
DSM of soil properties (1 week)
Mapping of continuous soil properties
Mapping of categorical soil properties
Exercise (DSM of soil properties)
Accuracy assessment of DSM outputs (1 week)
Meaning of accuracy and uncertainty
Methods of uncertainty and accuracy assessment
Reporting uncertainty and accuracy
Uncertainty and accuracy assessment of DSM outputs
Exercise (Uncertainty and Accuracy assessment of DSM)
46. DSM
Contents
DSM of soil properties (1 week)
Mapping of continuous soil properties
Mapping of categorical soil properties
Exercise (DSM of soil properties)
Accuracy assessment of DSM outputs (1 week)
Meaning of accuracy and uncertainty
Methods of uncertainty and accuracy assessment
Reporting uncertainty and accuracy
Uncertainty and accuracy assessment of DSM outputs
Exercise (Uncertainty and Accuracy assessment of DSM)
47. DSM
Contents
DSM of soil properties (1 week)
Mapping of continuous soil properties
Mapping of categorical soil properties
Exercise (DSM of soil properties)
Accuracy assessment of DSM outputs (1 week)
Meaning of accuracy and uncertainty
Methods of uncertainty and accuracy assessment
Reporting uncertainty and accuracy
Uncertainty and accuracy assessment of DSM outputs
Exercise (Uncertainty and Accuracy assessment of DSM)
48. DSM
Contents
DSM of soil properties (1 week)
Mapping of continuous soil properties
Mapping of categorical soil properties
Exercise (DSM of soil properties)
Accuracy assessment of DSM outputs (1 week)
Meaning of accuracy and uncertainty
Methods of uncertainty and accuracy assessment
Reporting uncertainty and accuracy
Uncertainty and accuracy assessment of DSM outputs
Exercise (Uncertainty and Accuracy assessment of DSM)
49. DSM
Contents
Documentation of DSM output (1/2 week)
Importance of documentation in DSM
Steps in documenting DSM outputs
Exercise (Documenting DSM output)
Methods for disseminating DSM outputs (1/2 week)
Need for dissemination
Dissemination approaches
Google-earth and online information service
Exercise (Dissemination of DSM outputs)
50. DSM
Contents
Documentation of DSM output (1/2 week)
Importance of documentation in DSM
Steps in documenting DSM outputs
Exercise (Documenting DSM output)
Methods for disseminating DSM outputs (1/2 week)
Need for dissemination
Dissemination approaches
Google-earth and online information service
Exercise (Dissemination of DSM outputs)
51. DSM
Contents
Documentation of DSM output (1/2 week)
Importance of documentation in DSM
Steps in documenting DSM outputs
Exercise (Documenting DSM output)
Methods for disseminating DSM outputs (1/2 week)
Need for dissemination
Dissemination approaches
Google-earth and online information service
Exercise (Dissemination of DSM outputs)
52. DSM
Contents
Documentation of DSM output (1/2 week)
Importance of documentation in DSM
Steps in documenting DSM outputs
Exercise (Documenting DSM output)
Methods for disseminating DSM outputs (1/2 week)
Need for dissemination
Dissemination approaches
Google-earth and online information service
Exercise (Dissemination of DSM outputs)
53. DSM
Contents
Documentation of DSM output (1/2 week)
Importance of documentation in DSM
Steps in documenting DSM outputs
Exercise (Documenting DSM output)
Methods for disseminating DSM outputs (1/2 week)
Need for dissemination
Dissemination approaches
Google-earth and online information service
Exercise (Dissemination of DSM outputs)
54. DSM
Contents
Documentation of DSM output (1/2 week)
Importance of documentation in DSM
Steps in documenting DSM outputs
Exercise (Documenting DSM output)
Methods for disseminating DSM outputs (1/2 week)
Need for dissemination
Dissemination approaches
Google-earth and online information service
Exercise (Dissemination of DSM outputs)
55. DSM
Contents
Documentation of DSM output (1/2 week)
Importance of documentation in DSM
Steps in documenting DSM outputs
Exercise (Documenting DSM output)
Methods for disseminating DSM outputs (1/2 week)
Need for dissemination
Dissemination approaches
Google-earth and online information service
Exercise (Dissemination of DSM outputs)
56. DSM
Contents
Documentation of DSM output (1/2 week)
Importance of documentation in DSM
Steps in documenting DSM outputs
Exercise (Documenting DSM output)
Methods for disseminating DSM outputs (1/2 week)
Need for dissemination
Dissemination approaches
Google-earth and online information service
Exercise (Dissemination of DSM outputs)
57. DSM
Contents
Documentation of DSM output (1/2 week)
Importance of documentation in DSM
Steps in documenting DSM outputs
Exercise (Documenting DSM output)
Methods for disseminating DSM outputs (1/2 week)
Need for dissemination
Dissemination approaches
Google-earth and online information service
Exercise (Dissemination of DSM outputs)