National Mapping & Statistics

142 Pages·2017·6.44 MB·English

by  Clifford Okembo

Conference Proceedings
11th Esri Eastern Africa User Conference
2 - 4 November, 2016

Acacia Premier Hotel, Kisumu, Kenya
Table of Contents
Foreword ....................................................................................................................................................... 7
Natural Resources ......................................................................................................................................... 8
GIS Utilization in Petroleum Data Management, A Case Study of National Data Centre (NDC) in
National Oil Corporation of Kenya ............................................................................................................... 9
Abstract ..................................................................................................................................................... 9
Introduction ............................................................................................................................................ 10
Examples of structured and unstructured .......................................................................................... 10
National Data Center (NDC) .................................................................................................................... 10
NDC System ............................................................................................................................................. 11
NDC Architecture .................................................................................................................................... 12
NDC Functionality ............................................................................................................................... 12
ArcGIS System. ........................................................................................................................................ 12
Conclusion ............................................................................................................................................... 17
Refrences ................................................................................................................................................ 17
Improved Analysis of Cheetah - (Acinonyx jubatus) Occupancy and Gene Flow in Kenya Using GIS
Tools ........................................................................................................................................................... 18
Abstracts: ................................................................................................................................................ 18
Problem Definition/ Background ............................................................................................................ 19
Methods/Methodology........................................................................................................................... 19
Expected outcomes (Results and major findings) ................................................................................... 21
Biological references ............................................................................................................................... 21
Biographical Notes .................................................................................................................................. 22
Contacts .................................................................................................................................................. 22
Impact of Climate Change on Desertification in Arid Areas of Kenya ...................................................... 23
Abstract ................................................................................................................................................... 23
Introduction ............................................................................................................................................ 24
Aridity .................................................................................................................................................. 24
Climate change. ................................................................................................................................... 24
Desertification. .................................................................................................................................... 25
Droughts causes and desert spread. ................................................................................................... 25
Magnitude of Desertification in Africa ................................................................................................ 26
Causes of Desertification. ................................................................................................................... 26

i
Objectives of Study ............................................................................................................................. 26
Methodology ........................................................................................................................................... 27
Description of study site ..................................................................................................................... 27
Results and Findings ................................................................................................................................ 32
Findings ............................................................................................................................................... 33
Interventions to Avert Future Occurrences ........................................................................................ 33
Acknowledgement .................................................................................................................................. 34
References .............................................................................................................................................. 34
Contacts .................................................................................................................................................. 36
Local Government ....................................................................................................................................... 37
A Village Level GIS-Based County Government and Environmental Risk Management Decision Support
System ......................................................................................................................................................... 38
Abstract ................................................................................................................................................... 38
Introduction ............................................................................................................................................ 39
Methodology ........................................................................................................................................... 40
Area of study ....................................................................................................................................... 40
Geodatabase Construction ................................................................................................................. 40
Chlorine gas plume footprint modeling and analysis ......................................................................... 42
Results and Discussion ............................................................................................................................ 44
Household Proximity to infrastructure ............................................................................................... 44
Environmental Risk Analysis and Management .................................................................................. 45
Conclusion and Recommendations ........................................................................................................ 47
Reference ................................................................................................................................................ 47
GIS Based Modeling to Assess Pollution Vulnerability to Groundwater in the Vicinity of Solid Waste
Disposal Site: A Case Study of Pugu Kinyamwezi Dumpsite in Dar Es Salaam, Tanzania....................... 48
Abstract ................................................................................................................................................... 48
Introduction ............................................................................................................................................ 49
Mapping and Site Characterizations of Existing Situation ...................................................................... 49
Location .............................................................................................................................................. 49
Description of Pugu dumpsite ............................................................................................................. 49
Water supply ....................................................................................................................................... 50
Social services ..................................................................................................................................... 50
Existing land use patterns ................................................................................................................... 50
Economic Activities ............................................................................................................................ 50

ii
Hydrological conditions ...................................................................................................................... 50
Solid waste existing practice ............................................................................................................... 51
Material and Method .............................................................................................................................. 52
Result and Discussions ............................................................................................................................ 52
Pugu Dump Site Pollution Modeling, Risk Analysis and Water Demand ................................................ 53
Pollution modeling .............................................................................................................................. 53
Groundwater flow predictions ............................................................................................................ 53
Modeling analysis and assumptions .................................................................................................... 54
Modeling development, assumption and Output ................................................................................ 54
Output of the model ............................................................................................................................ 55
Sensitivity of the model ...................................................................................................................... 58
Conclusion and Recommendations ........................................................................................................ 59
Conclusion .......................................................................................................................................... 59
Recommendations ............................................................................................................................... 59
Reference ................................................................................................................................................ 59
Comparing two geospatial approaches for delineating crop ecologies in Tanzania ................................... 62
Abstract ................................................................................................................................................... 62
Introduction ............................................................................................................................................ 63
Methods .................................................................................................................................................. 63
Study area ............................................................................................................................................ 63
Statistical analysis ............................................................................................................................... 64
Study area and the data ...................................................................................................................... 64
Data exploration and analysis ............................................................................................................. 66
Results ..................................................................................................................................................... 67
Selecting the best performing integrated technology .......................................................................... 67
Top-down approach ............................................................................................................................ 68
Bottom-up approach ............................................................................................................................ 69
Discussion................................................................................................................................................ 72
Differences in approaches ................................................................................................................... 72
Relevance ............................................................................................................................................ 73
Limitations .......................................................................................................................................... 73
References .............................................................................................................................................. 74
Contacts .................................................................................................................................................. 74

iii
Analysis of Urban Growth and Agricultural Land Use of Kuta in Shiroro L.G.A, Niger State, North-
Central Nigeria ............................................................................................................................................ 75
Abstract ................................................................................................................................................... 75
Introduction ............................................................................................................................................ 76
Study Area .......................................................................................................................................... 76
Research Methodology ........................................................................................................................... 79
Data Acquisition ................................................................................................................................. 79
Image Geometric Correction ............................................................................................................... 80
Data Analysis. ..................................................................................................................................... 80
Conclusion ............................................................................................................................................... 84
References .............................................................................................................................................. 85
Contacts .................................................................................................................................................. 85
National Government ................................................................................................................................. 86
A Geographic information System driven integrated land management System ....................................... 87
Abstract ................................................................................................................................................... 87
Introduction ............................................................................................................................................ 88
Problem Statement ................................................................................................................................. 89
Integrated Conceptual Framework ......................................................................................................... 90
Implementation Strategy ........................................................................................................................ 90
Implementation progress ..................................................................................................................... 91
GIS Integration .................................................................................................................................... 93
Conclusion ............................................................................................................................................... 93
Reference ................................................................................................................................................ 94
Challenges of Developing Land Information Management Systems (LIMS) for County Governments in
Kenya .......................................................................................................................................................... 95
Abstract ................................................................................................................................................... 95
Introduction ............................................................................................................................................ 96
Methodology ........................................................................................................................................... 96
Results and Findings ................................................................................................................................ 97
Legal challenge ................................................................................................................................... 97
Social challenges ................................................................................................................................. 98
Political challenges ............................................................................................................................. 98
Technical challenges ........................................................................................................................... 98
Economic challenges........................................................................................................................... 99

iv
Conclusion ............................................................................................................................................. 100
References ............................................................................................................................................ 100
Biographical Details .............................................................................................................................. 102
Contacts ................................................................................................................................................ 102
Utilities & Transportation ......................................................................................................................... 103
Ves Sites Selection Model for Ground Water Analysis and Mapping ...................................................... 104
Abstract ................................................................................................................................................. 104
Introduction .......................................................................................................................................... 105
Study Area ........................................................................................................................................ 105
Datasets and Methodology ................................................................................................................... 107
Datasets ............................................................................................................................................. 107
Methods............................................................................................................................................. 107
Results and Discussions ........................................................................................................................ 111
Conclusions. .......................................................................................................................................... 115
Acknowledgment. ................................................................................................................................. 116
References ............................................................................................................................................ 116
Biographical Notes ................................................................................................................................ 117
Contacts ................................................................................................................................................ 117
Cross-Cutting Issues .................................................................................................................................. 118
GI-diversity – Taking the activities in the Kakamega-Nandi forests area as example ............................. 119
Abstract ................................................................................................................................................. 119
Introduction .......................................................................................................................................... 120
More Recent Activities .......................................................................................................................... 121
A Web GIS-based viewing tool on forest use history ....................................................................... 121
Developing environmental education tools ....................................................................................... 123
Streamlining GIS teaching across universities .................................................................................. 124
Conclusions ........................................................................................................................................... 126
References ............................................................................................................................................ 126
Acknowledgements ............................................................................................................................... 128
Biographical Notes ................................................................................................................................ 128
Contacts ................................................................................................................................................ 128
Use of GIS and SDI in Promoting Coffee Quality in Maraba Sector, South Province of Rwanda .......... 129
Abstract ................................................................................................................................................. 129

v
Introduction .......................................................................................................................................... 130
Methodologies ...................................................................................................................................... 130
Methodology Using Site Selection (Environment) and GIS ............................................................. 130
Methodology Using SD .................................................................................................................... 138
Results: Geoportal Creation .................................................................................................................. 139
Conclusion ............................................................................................................................................. 140
References: ........................................................................................................................................... 140
Biographical notes: ............................................................................................................................... 141
Contacts: ............................................................................................................................................... 141

vi
Natural Resources
Use smart maps and spatial
analysis to better manage the
earth's natural resources.
Increase production,
optimize workflows,
and mitigate risk.
GIS Utilization in Petroleum Data Management, A Case Study of National
Data Centre (NDC) in National Oil Corporation of Kenya

Diana Matee, Kenya

Abstract
The petroleum industry is an information led business in which the market capitalization of any oil
companies is mainly dependent on an expectation of the value of future production. This number depends
entirely on interpretation and understanding of datasets about resources that are both hidden far below
earth’s surface and are often also in remote inaccessible locations. Oil companies are not unique on how
much they rely on information, but E&P is one of the activities where the financial impact of data is
highest. Therefore, data and information management is crucial for the success of any oil company.
National Oil Corporation of Kenya as a custodian of all the oil and gas data, it embarked on a process of
implementing a National Data Center (NDC). NDC is a centralized dynamic system that manages and
preserves a country’s petroleum data assets with diverse set of data management tools such as automated,
quality assured workflows and services that help to encourages external investment. Most of the data in
NDC has spatial component to them such as well coordinates, seismic line location or a regional span survey
the design of NDC utilizes GIS as the defector spatial tool.

Natural Resources Track 9/141
Diana Matee
GIS Utilization in Petroleum Data Management, A Case Study of National Data Centre (NDC) in National Oil
Corporation of Kenya

11th Esri Eastern Africa User Conference (EAUC)
2 – 4 November 2016|Acacia Premier Hotel, Kisumu, Kenya
Introduction
Petroleum industry just like most of research based industries is an information led business .In order to
capitalize on the market, companies mainly depend on an expectation of the value of future production.
This value depends entirely on the interpretation of data about resources that are location based.

The data can be categorized into-structured and unstructured data. Structured data which is organized
geoscientific data e.g. seismic, well logs, gravity and magnetic data just to mention a few, whereas
unstructured data entails mostly support reports for the geoscientific data.

Examples of structured and unstructured
• Geological -surface & sub-surface geology
maps
• Geophysical -Seismic, gravity, magnetic,
Structured data
navigation data
• Petro physical -logs, cores, cuttings
• Geochemical -fluid samples
• Reports e.g. geological reports, seismic sections
images,core images e.t.c
Unstructured data

To manage this National Oil Corporation of Kenya with the Ministry of Energy deployed a National Data
Center.

National Data Center (NDC)
A National Data Center (NDC) is a platform that enables archival and retrieval of regional, national, or
governmental exploration and production data.

It manages a country’s petroleum resources by preserving data resources through centralizing the data.
Moreover it assists in promoting more investments to and from the data by having a safe and secure platform
where investors can view and buy data. In addition to increasing collaboration among government bodies,
international oil companies (IOC) together with research centers.

The country’s NDC works flow is dynamic such that is caters for the different data formats ranging from
physical to softcopy.

The below diagram shows the work flow of the NDC

Natural Resources Track 10/141
Diana Matee
GIS Utilization in Petroleum Data Management, A Case Study of National Data Centre (NDC) in National Oil
Corporation of Kenya

11th Esri Eastern Africa User Conference (EAUC)
2 – 4 November 2016|Acacia Premier Hotel, Kisumu, Kenya