Mapping land cover change of the Luvuvhu catchment, South Africa for environmental modelling

Considerable land cover changes have occurred in the Luvuvhu catchment in northeastern South Africa in the past two decades. These changes are associated with human population growth and may be contributing to observed reductions in winter river baseflows and increased episodes of river drying within Kruger National Park. Six-class land cover maps of the catchment were created from 1978 (MSS) and 2005 (TM) Landsat imagery using an iterative technique. Results indicate a 1,000 km2 (12%) increase in Bare Ground between 1978 and 2005, with a concomitant decrease in shrubland and indigenous forest cover. Overall classification accuracy in the 2005 image was 80%. Classification was most accurate for Water and Pine classes (100 and 92%) and least accurate for Indigenous Forest (46%), primarily due to misclassification as Shrubland. These maps are suitable for land cover change and landscape modeling analyses, and can serve as baseline data for further research.

[1]  R. Main,et al.  Estimating the potential role of commercial over‐harvesting in resource viability: a case study of five useful tree species in South Africa , 2005 .

[2]  Ramesh Sivanpillai,et al.  Mapping Locust Habitats in the Amudarya River Delta, Uzbekistan with Multi-Temporal MODIS Imagery , 2007, Environmental management.

[3]  Deutsche Ausgabe.  World Reference Base for Soil Resources 2006 , 2007 .

[4]  Sandra M. Guzmán,et al.  Estimating soil carbon fluxes following land‐cover change: a test of some critical assumptions for a region in Costa Rica , 2004 .

[5]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[6]  John A. Scrivani,et al.  Landsat TM-Based Forest Area Estimation Using Iterative Guided Spectral Class Rejection , 2001 .

[7]  Raghavan Srinivasan,et al.  Estimating regional forest cover in East Texas using Enhanced Thematic Mapper (ETM+) data , 2005 .

[8]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[9]  D. J. Mulla,et al.  Hydrology and the Management of Watersheds, 3rd ed. , 2003 .

[10]  Scott N. Miller,et al.  Assessing land cover change in Kenya's Mau Forest region using remotely sensed data , 2008 .

[11]  Modelling Hydrological Responses to Land Use and Climate Change: A Southern African Perspective , 2000 .

[12]  David R. Maidment,et al.  Handbook of Hydrology , 1993 .

[13]  Angela Lee,et al.  Perspectives on … Environmental Systems Research Institute, Inc , 1997 .

[14]  Megan Mehaffey,et al.  INTEGRATING LANDSCAPE ASSESSMENT AND HYDROLOGIC MODELING FOR LAND COVER CHANGE ANALYSIS 1 , 2002 .

[15]  Scott N. Miller,et al.  Benefits of pan‐sharpened Landsat imagery for mapping small waterbodies in the Powder River Basin, Wyoming, USA , 2008 .

[16]  J. R. Jensen,et al.  Inland wetland change detection using aircraft MSS data , 1987 .

[17]  John R. Williams,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .

[18]  Lu Zhang,et al.  The response of flow duration curves to afforestation , 2005 .

[19]  B. V. D. Waal.  FUNDUDZI, A UNIQUE, SACRED AND UNKNOWN SOUTH AFRICAN LAKE , 1997 .

[20]  L. Bruijnzeel,et al.  Hydrological functions of tropical forests: not seeing the soil for the trees? , 2004 .

[21]  Darius J. Semmens,et al.  The Automated Geospatial Watershed Assessment tool , 2007, Environ. Model. Softw..

[22]  B. R. Davies,et al.  Conservation and management of the rivers of the Kruger National Park: Suggested methods for calculating instream flow needs , 1991 .

[23]  Russell G. Congalton,et al.  Assessing the accuracy of remotely sensed data : principles and practices , 1998 .

[24]  G. Jewitt,et al.  Linking the hydrological cycle and rural livelihoods: A case study in the Luvuvhu catchment, South Africa , 2004 .

[25]  Valerie Kapos,et al.  The biological dynamics of tropical rainforest fragments A prospective comparison of fragments and continuous forest , 1992 .

[26]  R. Lal,et al.  Tillage systems and soil compaction in Africa , 1993 .

[27]  James R. Anderson,et al.  A land use and land cover classification system for use with remote sensor data , 1976 .

[28]  C. Kleynhans.  A qualitative procedure for the assessment of the habitat integrity status of the Luvuvhu River (Limpopo system, South Africa) , 1996 .

[29]  B. Cousins,et al.  Invisible capital: The contribution of communal rangelands to rural livelihoods in South Africa , 1999 .

[30]  Tatiana Mora Kuplich,et al.  Classifying regenerating forest stages in Amazônia using remotely sensed images and a neural network , 2006 .

[31]  S. M. Jong,et al.  Investigating relationships between Landsat-7 ETM + data and spatial segregation of LULC types under shifting agriculture in southern Cameroon , 2006 .

[32]  D. V. Wyk.  Some effects of afforestation on streamflow in the Western Cape Province, South Africa , 1987 .

[33]  Charlie M. Shackleton,et al.  Changes in woody community structure and composition under constrasting landuse systems in a semi‐arid savanna, South Africa , 1999 .

[34]  G. Jewitt,et al.  Water resources planning and modelling tools for the assessment of land use change in the Luvuvhu Catchment, South Africa , 2004 .

[35]  F. Kruger,et al.  The effect of afforestation with Eucalyptus grandis Hill ex Maiden and Pinus patula Schlecht. et Cham. on streamflow from experimental catchments at Mokobulaan, Transvaal , 1980 .

[36]  René R. Colditz,et al.  Spatial Relations Between Floodplain Environments and Land Use – Land Cover of a Large Lowland Tropical River Valley: Pánuco Basin, México , 2006, Environmental management.

[37]  Kenneth N. Brooks,et al.  Hydrology and the Management of Watersheds , 1991 .