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Manifestation of Land Use/Land Cover Change Analysis and Its Impacts on Soil Properties in Gadarif Region, Sudan Faculty of Forest, Geo and Hydro Sciences,

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Presentation on theme: "Manifestation of Land Use/Land Cover Change Analysis and Its Impacts on Soil Properties in Gadarif Region, Sudan Faculty of Forest, Geo and Hydro Sciences,"— Presentation transcript:

1 Manifestation of Land Use/Land Cover Change Analysis and Its Impacts on Soil Properties in Gadarif Region, Sudan Faculty of Forest, Geo and Hydro Sciences, Department of Geosciences, Institute for Cartography Khalid Guma Biro, PhD student Supervisor: Prof. Manfred Buchroithner Fortaleza, Ceará, Brazil, 01 – 12 November 2010

2 2 Main topics Use of multi-temporal satellite data for land use/land cover change analysis Impacts of land use/land cover changes on soil properties Soil compaction and infiltration rate characteristics under three different land use types in dryland vertisols Land use analyses in drylands: an object-oriented classification approach using TerraSAR-X data Synthesis: Discussion of interconnections and implications for soil conservation, soil management and sustainable land use Fortaleza, 21.12.2015

3 3 Study area African Sahel (Source: NASA Earth Observatory, 2007) Gadarif Region East Sudan Study site: Area: 40 x 30 km² Average altitude: 600 m

4 4 Analysis of LULC change using optical data Fortaleza, 21.12.2015 Unclassified (raw) images from Landsat and ASTER data Acquisition date SensorGeometric resolution Spectral resolution 05.11.1979MSS57 m4 bands 12.12.1989TM30 m6 bands 22.11.1999ETM+30 m7 bands 17.01.2009ASTER15 m3 bands

5 Fortaleza, 21.12.2015 5 Maximum likelihood classification showing LULC through the period 1979 – 2009

6 Fortaleza, 21.12.2015 6 Areas of LULC classes in the study area

7 Fortaleza, 21.12.2015 7 Change detection (%) for the period 1979-2009 (Diagonal represents unchanged fraction of each class) Change from Cultivated land WoodlandFallow landBarelandSettlementWater Cultivated land76310560 Woodland8146720 Fallow land682104160 Bareland57363130 Settlement11342800

8 Fortaleza, 21.12.2015 8 LULC changes in the period 1979 – 2009

9 Fortaleza, 21.12.2015 9 LULC changes in the period 1979 – 2009

10 10 Land use analysis using TerraSAR-X data Study area Descending Ascending Fortaleza, 21.12.2015 Acquisition date Sensor mode Geometric resolution Incidence Angle 07.11.2009Strip map4 m33.32º 12.11.2009Strip map4 m32.25º Data acquisition

11 Image filtering 11 Fortaleza, 21.12.2015 σ ºdB = βº dB + 10 * Log10 (sin (θloc) (1) (Infoterra, 2008) βºdB = 10 * Log10 (Ks * DN²) (2) Where: σ ºdB = backscattering coefficient in dB θloc = local incidence angle from GIM βºdB = radar brightness in dB Ks = TerraSAR-X calibration factor DN = digital number of TerraSAR-X EEC input image pixel. Normalize image backscattering coefficient

12 12 Gamma speckle filtering (7x7) HVHHHH/HV Raw Filtered Fortaleza, 21.12.2015

13 13 Image segmentation Fortaleza, 21.12.2015 Segmentation levelScale parameterColour/Shape ٭ Image weight Level 12500.9/0.11 : 1 Level 22500.8/0.21 : 1 Level 31500.9/0.11 : 1 Level 41500.8/0.21 : 1 Segmentation parameters (using multiresolution algorithm of eCognition) ٭ Smoothness/compactness were constant at 0.5/0.5 HV HH HH/HV

14 14 Feature space optimization Classification was based on nearest neighbour classifier using feature space optimisation GLCM = Gray level co-occurrence matrix StdDev = Standard deviation Invert expression also used for select class feature Fortaleza, 21.12.2015

15 15 TerraSAR-X land use/cover map

16 16 Fortaleza, 21.12.2015 TerraSAR-X land use/cover map

17 17 Fortaleza, 21.12.2015 TerraSAR-X land use/cover map

18 18 Summary of classification accuracies Fortaleza, 21.12.2015 Class Accuracy (%) Conditional kappaArea (%) Producer’sUser’s Cultivated land95970.9654.75 Harvested land97 0.9635.65 Fallow land95970.964.37 Woodland91860.850.58 Bareland97880.870.74 Rock91870.860.11 Settlement 190860.841.46 Settlement 287940.932.19 Water100 10.15 Overall accuracy (%)94 Kappa coefficient0.93

19 19 Impacts of land use change on soil properties Fortaleza, 21.12.2015 Soil physical properties

20 20 Fortaleza, 21.12.2015 Soil chemical properties

21 21 Fortaleza, 21.12.2015 Soil penetration resistance

22 22 Fortaleza, 21.12.2015 Soil infiltration (Kostiakov model)

23 23 Fortaleza, 21.12.2015 Maps of soil penetration resistance

24 24 Fortaleza, 21.12.2015 Maps of soil organic carbon

25 25 Fortaleza, 21.12.2015 Maps of soil moisture content

26 26 Use of multi-temporal satellite data for land use/land cover change analyses and its impacts on soil properties in the northern part of Gadarif region, Sudan; 30th EARSeL Symposium 31.05 - 01.06.2010 - Paris, France. (submitted to Land Degradation and Development, Revised). Land use analyses in the African Sahel: an object-oriented classification approach using TerraSAR-X data; 38th COSPAR Scientific Assembly, 18 - 25 July 2010,Bremen, Germany. (Submitted to Advances in Space Research, Revised). The effects of different land use types on soil compaction and infiltration rate in the drylands vertisol of Gadarif region, Sudan; Tropentag 2010, ETH Zurich September 14 - 16, 2010. (Under work). Fortaleza, 21.12.2015

27 26 Thank You! Khalidturk76@yahoo.co.uk Fortaleza, 21.12.2015

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