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Original Articles

Analysis of spatio-temporal dynamics of land use and cover changes in Western Kenya

, ORCID Icon &
Pages 376-391 | Received 21 Jan 2019, Accepted 17 Mar 2019, Published online: 28 May 2019

References

  • Ahmad A, Hashim UKM, Mohd O, Abdullah MM, Sakidin H, Rasib AW, Sufahani SF. 2018. Comparative analysis of support vector machine, maximum likelihood and neural network classification on multispectral remote sensing data. Int J Adv Comput Sci Appl. 9(9):529–537.
  • Akech M. 2010. Institutional reform in the new constitution of Kenya. New York (NY): International Center for Transitional Justice; p. 15–32.
  • Alliance KL. 2015. Land use in Kenya: the case for a national land-use policy. Nairobi, Kenya: Kenya Land Alliance.
  • Anderson JR. 1977. Land use and land cover changes. A framework for monitoring. J Res Geol Surv. 5:143–153.
  • Ayuyo IOA, Sweta L. 2014. Land cover and land use mapping and change detection of Mau Complex in Kenya using geospatial technology. Int J Sci Res. 3(3):767–778.
  • Bello MN, Abbas II, Akpu B. 2014. Analysis of land use-land cover changes in Zuru and its environment of Kebbi state, Nigeria using remote sensing and geographic information system technology. J Geogr Earth Sci. 2(1):113–126.
  • Bruce CM, Hilbert DW. 2006. Pre-processing methodology for application to Landsat TM/ETM + imagery of the wet tropics. Cairns, Australia: Rainforest CRC.
  • Buys P. 2007. At loggerheads: agricultural expansion, poverty reduction, and environment in the tropical forests. Washington (DC): World Bank Publications.
  • Campbell DJ, Lusch DP, Smucker TA, Wangui EE. 2003. Root causes of land use change in the Loitokitok Area, Kajiado District, Kenya. Land Use Change Impacts and Dynamics (LUCID) Project working Paper 19. Nairobi, Kenya: International Livestock Research Institute.
  • Campbell DJ, Lusch DP, Smucker TA, Wangui EE. 2005. Multiple methods in the study of driving forces of land use and land cover change: a case study of SE Kajiado District, Kenya. Hum Ecol. 33(6):763–794.
  • Chavez PS. 1996. Image-based atmospheric corrections-revisited and improved. Photogramm Eng Remote Sen. 62(9):1025–1035.
  • Cheruto MC, Kauti MK, Kisangau PD, Kariuki PC. 2016. Assessment of land use and land cover change using GIS and remote sensing techniques: a case study of Makueni County, Kenya. J Remote Sens GIS. 5(4):2469–4134.
  • Codjoe SNA. 2007. Integrating remote sensing, GIS, census, and socioeconomic data in studying the population–land use/cover nexus in Ghana: a literature update. Afr Dev. 32(2):197–212.
  • Duggin M, Robinove C. 1990. Assumptions implicit in remote sensing data acquisition and analysis. Int J Remote Sens. 11(10):1669–1694.
  • Ekstrand S. 1994. Assessment of forest damage with Landsat TM: correction for varying forest stand characteristics. Remote Sens Environ. 47(3):291–302.
  • Gao J, Liu Y. 2010. Determination of land degradation causes in Tongyu County, Northeast China via land cover change detection. Int J Appl Earth Obs Geoinf. 12(1):9–16.
  • GoK. 2009. Food security in Kenya. M. O. agriculture. Nairobi, Kenya: Government Printers; p. 4–10.
  • GoK. 2013. Ministry of agriculture status report on food security assessment crops. Nairobi, Kenya: Government Printers.
  • Hassan Z, Shabbir R, Ahmad SS, Malik AH, Aziz N, Butt A, Erum S. 2016. Dynamics of land use and land cover change (LULCC) using geospatial techniques: a case study of Islamabad Pakistan. Springerplus. 5(1):812.
  • Hitimana J, Kiyiapi JL, Njunge JT. 2004. Forest structure characteristics in disturbed and undisturbed sites of Mt. Elgon Moist Lower Montane Forest, western Kenya. Forest Ecol Manag. 194(1–3):269–291.
  • Kadavi PR, Lee CW. 2018. Land cover classification analysis of volcanic island in Aleutian Arc using an Artificial Neural Network (ANN) and a Support Vector Machine (SVM) from Landsat imagery. Geosci J. 22:653–665.
  • KFS. 2017. Kenya forest service strategic plan (2017–2022). Kenya: GoK Printers.
  • Kiplimo L, Ngeno V. 2016. Understanding the effect of land fragmentation on farm level efficiency 2016. AAAE fifth international conference. Addis Ababa, Ethiopia: African Association of Agricultural Economists (AAAE).
  • Koei N. 2013. The project on the development of the national water master plan 2030. W. R. M. authority. Vol. V. Sectoral Report (E). Nairobi, Kenya: Government Printers.
  • Kumar L, Ghosh MK. 2012. Land cover change detection of Hatiya Island, Bangladesh, using remote sensing techniques. J Appl Remote Sens. 6(1):063608.
  • Lambin EF, Geist HJ, Lepers E. 2003. Dynamics of land-use and land-cover change in tropical regions. Annu Rev Environ Resour. 28(1):205–241.
  • Lea C, Curtis A. 2010. Thematic accuracy assessment procedures: National Park Service vegetation inventory, version 2.0. Natural resource report NPS/2010/NRR-2010/204. Fort Collins (CO): National Park Service, US Department of the Interior.
  • Lillesand T, Kiefer RW, Chipman J. 2014. Remote sensing and image interpretation. Hoboken (NJ): John Wiley & Sons.
  • Lu D, Mausel P, Brondizio E, Moran E. 2004. Change detection techniques. Int J Remote Sens. 25(12):2365–2401.
  • Lung T, Schaab G. 2004. Change-detection in Western Kenya: the documentation of fragmentation and disturbance for Kakamega forest and associated forest areas by means of remotelysensed imagery. ISPRS Arch. 35:1–6.
  • Lung T, Schaab G. 2006. Assessing fragmentation and disturbance of west Kenyan rainforests by means of remotely sensed time series data and landscape metrics. Afr J Ecol. 44(4):491–506.
  • Macleod RD, Congalton RG. 1998. A quantitative comparison of change-detection algorithms for monitoring eelgrass from remotely sensed data. Photogramm Eng Remote Sens. 64(3):207–216.
  • Mati BM. 2000. The influence of climate change on maize production in the semi-humid–semi-arid areas of Kenya. J Arid Environ. 46(4):333–344.
  • Mengistu DA, Salami AT. 2007. Application of remote sensing and GIS inland use/land cover mapping and change detection in a part of south western Nigeria. Afr J Environ Sci Technol. 1(5):99–109.
  • Meyer WB. 1995. Past and present land use and land cover in the USA. Consequences. 1(1):25–33.
  • Mu Q, Zhao M, Kimball JS, McDowell NG, Running SW. 2013. A remotely sensed global terrestrial drought severity index. Bull Am Meteor Soc. 94(1):83–98.
  • Mueller SD. 2008. The political economy of Kenya's crisis. J Eastern Afr Stud. 2(2):185–210.
  • Mugagga F, Kakembo V, Buyinza M. 2012. Land use changes on the slopes of Mount Elgon and the implications for the occurrence of landslides. Catena. 90:39–46.
  • Muigua K. 2014. Food security and environmental sustainability in Kenya. Nairobi, Kenya: Government Printers.
  • Muriithi FK. 2016. Land use and land cover (LULC) changes in semi-arid sub-watersheds of Laikipia and Athi River basins, Kenya, as influenced by expanding intensive commercial horticulture. Remote Sensing Appl Soc Environ. 3:73–88.
  • Musambayi NJ. 2013. The impact of land fragmentation/segmentation on production and food security (case study: three major regions in Kenya. Elixir Int J. 56:13493–13495.
  • Mwagore D. 2003. Land use in Kenya: the case for a national land-use policy. Nakuru, Kenya: Kenya Land Alliance.
  • Mwenda AK. 2010. Economic and administrative implications of the devolution framework established by the constitution of Kenya. Nairobi, Kenya: Institute of Economic Affairs.
  • Nagendra H, Munroe DK, Southworth J. 2004. From pattern to process: landscape fragmentation and the analysis of land use/land cover change. Agric Ecosyst Environ. 101(2–3):111–115.
  • Nathalia D, Kumar KM, Kishore N, Krishnan G. 2017. Environmental change detection using geo-spatial techniques in Aravalli hills and environs (Faridabad District, Haryana). Int J Appl Environ Sci. 12(5):865–875.
  • Nyoro JK, Kirimi L, Jayne TS. 2004. Competitiveness of Kenyan and Ugandan maize production: Challenges for the future. Working paper 10, Tegemeo Institute, Nairobi, Kenya.
  • Ogweno D, Opanga P, Obara AO. 2008. Forest landscape and Kenya’s vision 2030. In Proceedings of the 3rd annual forestry society of Kenya (FSK) Conference and Annual General Meeting Forest Society of Kenya (FSK) Conference and Annual General Meeting held at the Sunset Hotel, Kisumu.
  • Ojwang GO, Agatsiva J, Situma C. 2010. Analysis of climate change and variability risks in the smallholder sector. Rome, Italy: FAO.
  • Olang LO, Kundu P, Bauer T, Fürst J. 2011. Analysis of spatio-temporal land cover changes for hydrological impact assessment within the Nyando River Basin of Kenya. Environ Monit Assess. 179(1–4):389–401.
  • Ongugo POJ, Wandago BO, Gachanja M, Mbuvi MT. 2008. Better managed forests and improved livelihoods. 1st National Participatory Forest Management Conference. Kenya: Kenya Forest Service.
  • Owojori A, Xie H. 2005. Landsat image-based LULC changes of San Antonio, Texas using advanced atmospheric correction and object-oriented image analysis approaches. 5th International symposium on remote sensing of urban areas, Tempe, AZ.
  • Rosenfield GH, Fitzpatrick-Lins K. 1986. A coefficient of agreement as a measure of thematic classification accuracy. Photogramm Eng Remote Sens. 52(2):223–227.
  • Sihanya B. 2012. Constitutional implementation in Kenya, 2010–2015: challenges and prospects. Bonn, Germany: Germany Friedrich-Ebert-Stiftung.
  • Singh A. 1989. Review article on digital change detection techniques using remotely-sensed data. Int J Remote Sens. 10(6):989–1003.
  • Song C, Woodcock CE, Seto KC, Lenney MP, Macomber SA. 2001. Classification and change detection using Landsat TM data: when and how to correct atmospheric effects? Remote Sens Environ. 75(2):230–244.
  • Spanner MA, Pierce LL, Peterson DL, Running SW. 1990. Remote sensing of temperate coniferous forest leaf area index The influence of canopy closure, understory vegetation and background reflectance. Int J Remote Sens. 11(1):95–111.
  • Veldkamp A, Fresco L. 1996. CLUE: a conceptual model to study the conversion of land use and its effects. Ecol Modell. 85(2–3):253–270.
  • Wohlfart C, Mack B, Liu G, Kuenzer C. 2017. Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: exemplary analysis in mining, agriculture, forest, and urban areas. Appl Geogr. 85:73–88.
  • Yadav P, Kapoor M, Sarma K. 2012. Land use land cover mapping, change detection and conflict analysis of Nagzira-Navegaon Corridor, Central India using geospatial technology. Int J Remote Sens GIS. 1(2):90–98.
  • Yang X, Lo C. 2002. Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. Int J Remote Sens. 23(9):1775–1798.
  • Zewdu S, Suryabhagavan K, Balakrishnan M. 2016. Land-use/land-cover dynamics in Sego Irrigation Farm, southern Ethiopia: a comparison of temporal soil salinization using geospatial tools. J Saudi Soc Agric Sci. 15(1):91–97.

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