Abstract
Detection of changes in Earth surface features, for example lakes, is important for understanding the relationships between human and natural phenomena in order to manage better the increasingly scarce natural resources. This work presents a procedure of using modified normalised difference water index (MNDWI) to detect fluctuations of lake surface water area and relate it to a changing climate. The study used radiometrically and geometrically rectified Landsat images for 1986, 1995 and 2010 encompassing the Kyoga Basin lakes of Uganda, in order to investigate the changes in surface water area between the respective years. The standard precipitation index (SPI) and drought severity index (DSI) are applied to show the relationship between variability of surface water area and climate parameters. The present analysis reveals that surface water area fluctuation is linked to rainfall variability. In particular, Lake Kyoga sub-basin lakes experienced an increase in surface water area in 2010 compared to 1986. This work has important implications to water resources management for Lake Kyoga and could be vital to water resource managers across Ugandan lakes.
Similar content being viewed by others
Notes
First level administrative regions in Uganda
References
Abdelsalam MG, Youssef AM, Arafat SM, Alfarhan. (2008) Rise and demise of the New Lakes of Sahara, Geosphere, 4(2): 375–386.
Agnew CT (2000) Using the SPI to identify drought. Drought Network News 12(1):6–12
Alcamo J, Flörke M, Märker M (2007) Future long-term changes in global water resources driven by socio-economic and climatic changes. Hydrol Sci J 52(2):247–275
Anyah RO, Semazzi FHM (2004) Simulation of the sensitivity of Lake Victoria basin climate to lake surface temperatures. Theor Appl Climatol 79:55–69
Anyamba EK (1983) “On the monthly mean lower tropospheric circulations during the 1961/62 floods in east Africa”. Msc. Thesis, University of Nairobi
Arshad M, Gomez R, Falconer A, Roper W, Summers M (2014) A remote sensing technique detecting and identifying water activity sites along irrigation canals. Am J Environ Eng Sci 1(1):19–35
Awange JL, Ogalo L, Bae K-H, Were P, Omondi P, Omute P, Omullo M (2008) Falling Lake Victoria water levels: is climate a contributing factor? Climate Change 89:281–297
Ba MB, Nicholson SE (1998) “Analysis of convective activity and its relation to rainfall over the Rift Valley lakes of East Africa during 1983–1990 using the Meteosat Infrared channel. J Appl Meteorol 37:1250–1264
COWI (2010) “Operationalisation of catchment-based water resources management. Ministry of water and environment, Directorate of water resources management”, September 2010, Kampala Uganda.
DWRM (2011) “The declining trends of water resources in Uganda: a case study of river Rwizi, Lake Wamala, Lake Victoria catchments and representative groundwater monitoring stations”, water resources monitoring and assessment division. Entebbe, Uganda
Estrela T, Perez-Martin MA, Vargas E (2012) Impacts of climate change on water resources in Spain. Hydrol Sci J 57(6):1154–1167
Hulme M (1992) Rainfall changes in Africa: 1931–1960 to 1961–1990”Drought monitoring with multiple time scale,. Int J Climatol 12:685–699
Ji L, Zhang L, Wylie B (2009) Analysis of dynamic thresholds for the normalized difference water index. Photogramm Eng Remote Sens 75(11):1307–1317
Kraus EB (1977) “Subtropical droughts and cross-equatorial energy transports”. Mon weather rev 105: 1009–1018.
Kull D (2006) Connections between recent water level drops in Lake Victoria, dam operations and drought, viewed 24/03/2013, http://www.irn.org/programs/nile/pdf/060208vic.pdf.
Livada I, Assimakopoulos VD (2007) Spatial and temporal analysis of drought in Greece using the standardized precipitation index (SPI). Theor Appl Climatol 89:143–153
Lu D, Mausel P, Brondízio E, Moran E (2004) Change detection techniques. Int J Remote Sens 25(12):2365–2407
McFeeters SK (1996) The use of the normalized difference water index (NDWI) in the delineation of open water features. Int J Remote Sens 17(7):1425–1432
McKee TB, Doesken NJ & Kleist J (1995) “Drought monitoring with multiple time scales. Proceedings of the ninth conference on applied climatology”Am Meteorol Soc, 233–236.
Mouchot MC, Alföldi T, De Lisle D, McCullough G (1991) Monitoring water bodies of the Mackenzie delta by remote sensing methods. Arctic 44(1):21–28
Nath RK, Deb SK (2010) Water-body area extraction from high resolution satellite images—an introduction, review and comparison. Int J Image Process 3(6):353–372
NEMA (2002) “State of environment report for Uganda (2002)” National Environment Management Authority (NEMA), Kampala
NEMA (2008) “State of environment report for Uganda (2008)” National Environment Management Authority (NEMA), Kampala
Nicholson SE (1986) The nature of rainfall variability in Africa south of the equator. Int J Climatol 6:515–530
Niya AK, Alesheikh AA, Soltanpor M, Kheirkhahzarkesh (2013) Shoreline change mapping using remote sensing and GIS. Int J Remote Sens Appl 3(3):102–107
Nsubuga FWN, Botai OJ, Olwoch JM, CJ.deW Rautenbach, Bevis Y, Adetunji AO (2014) The nature of rainfall in the main drainage sub-basins of Uganda. Hydrol Sci J 59(2):278–299
Ouma YO, Tateishi R (2006) A water index for rapid mapping of shoreline changes of five East African Rift Valley lakes: an empirical analysis using Landsat TM and ETM+ data. Int J Remote Sens 27(15):3153–3181
Rasuly A, Naghdifar R, Rasoli M (2010) Detecting of Arasban Forest changes applying image processing procedures and GIS techniques. Procedia Environ Sci 2:454–464
Schäfer ML, Lundström JO (2012) Detection of temporary flooded areas with potential floodwater mosquito production using imaging radar. Int J Remote Sens 33(6):1943–1953
Schultz GA (1997) Use of remote sensing data in a GIS environment for water resources management. Remote Sensing and Geographic Information Systems for Design and Operation of Water Resources Systems (Proceedings of Rabat Symposium S3, April, 1997). IAHS Publ.no 242, 1997.
Shamsipour AA, Zawar-Reza P, Panah SKA, Azizi G (2011) Analysis of drought events for the semi-arid central plains of Iran with satellite and meteorological based indicators. Int J Remote Sens 32(24):9559–9569
Singh A (1989) Digital change detection techniques using remotely-sensed data. Int J Remote Sens 10(6):989–1003
Song C, Huang B, Ke L (2013) Modeling and analysis of lake water storage changes on the Tibetan plateau using multi-mission satellite data. Remote Sens Environ 135:25–35
Terekhin EA (2013) The procedure of seeking effective spectral indices for automated interpretation of water bodies (a case study of Belgorod Oblast). Geogr Nat Resour 34(3):272–277
Troitskaya YI, Rubushkina GV, Soustova IA, Balandina GN, Lebedev SA, Kostyanoi AG, Panyutin AA, Filina LV (2012) Satellite altimetry of inland water bodies. Water Resources 39(2):184–199
Otukei JR, Blaschke T (2010) Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms. Int J Applied Earth Obs Geoinf 12s, s27–s31.
Türkeş M (1996) Spatial and temporal analysis of annual rainfall variation in Turkey. Int J Climatol 16:1057–1076
UNWDR (2005) “Uganda National Water Development Report 2005”, Ministry of Water and Environment. Kampala, Uganda
Xu H (2006) Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens 27(14):3025–3033
Xu M, Cao C, Zhang H, Xue Y, Li Y, Guo J-P, Chang C, He Q, Gao M & Li X (2009) “Change detection of the Tangjiashan barrier lake based on multi-source remote sensing data”, IEEE Geoscience Remote Sens Soc. 303–306.
Acknowledgments
The authors would like to thank the USGS sites GLOVIS (http://glovis.usgs.gov/) and EarthExplorer (http://earthexplorer.usgs.gov/) where the Landsat images are obtained. They also like to thank the EARS group for their constructive criticisms and the DWRM, Entebbe for providing lake level data.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Nsubuga, F...N., Botai, J.O., Olwoch, J.M. et al. Detecting changes in surface water area of Lake Kyoga sub-basin using remotely sensed imagery in a changing climate. Theor Appl Climatol 127, 327–337 (2017). https://doi.org/10.1007/s00704-015-1637-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-015-1637-1