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Remote sensing and Land cover change detection

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  • NKOMEJE Felicien ()Student ID: M2014047Tel: +86-18305160547

    E-mail: [email protected]

    Evaluation of Urban Growth Based on LU&LC Dynamics inKigali city, Rwanda

    A research proposal

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    The 05th January 2016

    Supervisor: Dr. Xiaoxiang ZHANG

  • Research outline1. Study area2. Background and motivation3. Research objectives 4. Research questions 5. Research relevance and rationale 6. Data sources and collection methods7. Proposed methodology8. Research structure9. Work plan10. Resources

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

  • Study area

    HOHAI UNIVERSITY

    School of Earth Sciences and Engineering

    KIgali

    The population of the city isslightly above 1M on 730 sqkmand the spread out city extendsover to several valleys and hills.

    Kigali is commercial and political life. The largest city of the country. is exhaustively composed by 3 district and Nyarugenge stays the urban center of the city.

  • Background and motivation

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    54% of world pop live in urban area and projected to66% (2050) (UN-DESA, 2014).

    Kigali founded in 1907 now has More than 1M people

    Density pop in Kigali was 1265 in 2006 and 1600/Sqkm in 2012.

    Source: Fourth Population and Housing Census in 2012 reported in 2014

  • Background and motivation

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    Urban change is 4% in last decade (25% in 2011, 26%in 2012, 27% in 2013 , 28 in 2014 ) and now must bemore (http://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS)

    Rwanda has been ranked the fastest developingcountry in the world in the last 25 years. China hasbeen ranked the second (http://www.economist.com December, 2015).

    Kigali One Stop Center has issued 282 constructionpermits since April 2010 to Oct 2012(http://www.independent.co.ug).

    Agriculture land reduced to a considerable rate.

  • Background and motivation (Contd)

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    Kigali master plan Vs field observation

    Rwandas seek to benefit from Kigalis land andproperty market; but its leaders also strive for much morein the city(Every day manifestation-residents income-developers and Government)

    RS and GIS as analysis and decision making tools.

    This study will generally help to understand urbandynamics and assess the future urban growth impacts onenvironment.

  • Background and motivation (Contd)

    HOHAI UNIVERSITY

    School of Earth Sciences and Engineering

    k Suburb in the city fringe

    Residential in planning_Gvt

    City Vs Rivers

    City Vs Swamps

    City and agriculture

    Environmental impactsAgents interactions in policy implementation

    City center

    Gatsata residentswary as rainspound risk zone

    Kigali master plan

  • Research objectives

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    The overall objective of the study isto evaluate the spatio-temporal urbangrowth process of Kigali city based onland use/land cover change.

  • Research objectives (Contd)

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    Specifically the research will tackle:

    Describing urban growth process and LUCCdynamics;

    Identifying Kigali urban patterns and itsdynamics;

    Generating LULCC models using RS/GISapproaches ;

  • Research questions

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    Why is Kigali city growing faster? (driving forces => Causes and impacts assessment)

    What are spatial patterns of Kigali urbangrowth?...(This will also deal with where question)

    How to model Kigali urban LUCC usingRS and GIS approaches?...(Geo-Simulations)

  • Relevance

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    The research is relevant in terms of:

    Understanding the evolution of Kigali urbangrowth in order to help decision makers;

    Improving the public policy in Kigali city (Kigalimaster plan updates, etc;

    Contributing as potential resource for furtherrelated or connected researches and will serveas model to similar case study

  • Data source

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    Primary data

    GCP (Ground control points): these GPSpoints will help in geo-referencing and groundchecking features

    Illustrative Photos: these are current photothat will provide a better understanding of thestudy area

  • Data source (Contd)

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    Secondary data

    Landsat images: in this research, landsat5, 7and 8 images will be used to perform someprocessing and analysis.

  • Data sources (Contd)

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    Secondary data

    DEM: this can be downloaded from differentwebsite or produced from DTM;

    Kigali master plan shp

    Geoeye or quickbird image for data validation

    Different hard and electronics materials willbe reviewed (more than 120 papers and booksare available now;

  • Methodology

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    The purpose, data availability, skills capability, timeand budget are major factors to define the researchmethod(Keith G., No date)

    However, the urbangrowth monitoringusing remotely senseddata will alwaysperformed around thischart.

  • Methodology (Contd) : Why, What and How questions?

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    RS Images+GCP+other data

    Mosaic subset Kigali boundary shp

    GCP+mapsOrthophotos

    Thematic Accuracy calibration

    Spatial reclassification

    Supervised Classification

    Image preprocessing Correct &Enhance

    Sieving and clumping(Possible Ground truth)

    Likelihood algorithm

    Kappa

    Classesdetermination/Patterns

    Built up, Agriculture land,lake/River, green spaces and nonused space

    Topo map, DEM,KMP shp

    RS data/landsat 5,7 and 8

    Dynamics model(AM)

    Change detection

    Modeling results& Interpretation

  • Methodology (Contd)

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    The research temporal scale is 1985 2015,divided in 3 time series(1985-1995-2005-2015).

    The classification will define Built up,Agriculture land, lake/River, green spaces andnon used space.

    The Kappa statistics: based on cell-by-cellcomparison of the observed map and thepredicted map (Hagen-Zanker et al, 2008).

    AM Spatial dynamics model will help toidentify spatial urban change rate and patterns.

  • Key terms

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    For a better understanding of this project, some key terms will be defined:

    GIS (Geographic Information System )

    RS ( Remote Sensing )

    LU/LCC (Land use and land cover change)

    Kigali

    Rwanda

    urban modeling

    Urbanization prediction

    Landsat images

  • Research structure

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    This research will be arranged in 4 chapters:

    Chap1. General introduction

    Chap2. Understanding urban growth and LUCC

    Chap3. Kigali urban growth dynamics

    Chap4. Conclusion and recommendations

  • Work plan (2016)

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    1 2 3 4 5 6 7 8 9 10 11 12

    Proposal preparation

    Proposal defense

    Gathering resources

    Experiments

    work (Paper)

    Chap 1

    Chap 2

    Chap 3

    Chap 4

    Final work Jan-March 2017

  • References

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    1. Mirkatouli J, Hosseini A, Neshat A: Analysis of land use and land cover spatial pattern based on Markov chains modelling. City, Territory and Architecture 2015, 2(1).2. Carvalho Ribeiro S, Migliozzi A, Incerti G, Pinto Correia T: Placing land cover pattern preferences on the map: Bridging methodological approaches of landscape preference surveys and spatial pattern analysis. Landscape and Urban Planning 2013, 114:53-68.3. ESRI, ARCGIS spatial analyst_advanved Spat analyst using Raster and Vector, ESRI 380 New York St., Redlands, CA 92373-8100, USA, 20014. John D. Bossler et al, Manual of geospatial science & technology, nd. 5. Addis getnet yesserie, spatiotemporal land use land cover changes analysis and monitoring, Castelln, Spain, march 2009.6. M F GOODCHILD et al,The future of GIS and spatial analysis, nd.7. Gilbert Nduwayezu, Modeling urban growth in Kigali city, Rwanda, Enschede, The Netherlands, February 2015.

  • References (Contd)

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    8. JAMES G. Watt et al, Secretary at United States Department of , Interior, A Land Use And Land Cover Classification System For Use With Remote Sensor Data, First Printing 1976, Conversion to Digital 2001.

    9. Atiqur RAHMAN et al, An assessment of urban environmental issues using remote sensing and gis techniques, Paris, 2009.

    10. University of Freiburg, GIS & Spatial Modeling, Course notes, Class 2: "Spatial Doing" - A discourse about analysis and modeling in a spatial context, nd.

    11. NISR, 2012 population and house hold census, Rwanda, November 2012

  • Cleanliness And Beauty Define Kigali City

    HOHAI UNIVERSITYSchool of Earth Sciences and Engineering

    THANK YOU

    FOR

    ATTENTION