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Monitoring and forecasting spatio-temporal LULC for Akure rainforest habitat in Nigeria Cover

Monitoring and forecasting spatio-temporal LULC for Akure rainforest habitat in Nigeria

Open Access
|Dec 2020

Figures & Tables

Figure 1

Study site, (a) map of Nigeria with the riverine area in black; (b) map of Ondo State; (c) Akure city
Study site, (a) map of Nigeria with the riverine area in black; (b) map of Ondo State; (c) Akure city

Figure 2

Methodological chart
Methodological chart

Figure 3

Spatial distribution (classified image) of the land cover of Akure
Spatial distribution (classified image) of the land cover of Akure

Figure 4

Change variation of land use/land cover classes in Akure. (a–c) gains (in green) and losses (in purple), (d–f) net variation (km2) in land use land cover (in purple) and (g–i) contributing the land use/cover to the net variation (km2) in built-up area for the study period (in purple)
Change variation of land use/land cover classes in Akure. (a–c) gains (in green) and losses (in purple), (d–f) net variation (km2) in land use land cover (in purple) and (g–i) contributing the land use/cover to the net variation (km2) in built-up area for the study period (in purple)

Figure 5

Land cover projections for the year 2039
Land cover projections for the year 2039

Accuracy assessment of LULC for the study period

Classified DataBare LandBuilt-Up AreaCultivated LandForest CoverGrasslandTotalUser Accuracy (%)
December 1999Bare Land3720014092.50
Built-Up Area2320003494.12
Cultivated Land0031123491.18
Forest Cover1123403889.47
Grassland1010333594.29
Total4135343536181
Producer Accuracy (%)90.2491.4391.1897.1491.67
Overall Accuracy = 92.27%; Kappa Statistics = 0.89; KHisto = 0.96; KLoc = 0.93

November 2009Bare Land3160023979.49
Built-Up Area1340003597.14
Cultivated Land1033123789.19
Forest Cover0013023390.91
Grassland0021343791.89
Total3340363240181
Producer Accuracy (%)93.3485.0091.6793.7585.00
Overall Accuracy = 89.50%; Kappa Statistics = 0.84; KHisto = 0.91; KLoc = 0.92

January 2019Bare Land3410003597.14
Built-Up Area2460004895.83
Cultivated Land0031113393.94
Forest Cover1112903290.63
Grassland0021303390.91
Total3748343131181
Producer Accuracy (%)91.8995.8391.1893.5596.77
Overall Accuracy = 93.92%; Kappa Statistics = 0.91; KHisto = 0.93; KLoc = 0.98

Description of Landsat datasets

S/NInstrumentScene IdentifierBands StackedCloud Cover (%)Geometric RMSE Model (m)
1Landsat 7 ETM+LE71900551999347AGS011–811.003.59
2Landsat 7 ETM+LE71900552009326ASN001–88.004.22
3Landsat 8 OLILC81900552019010LGN001–913.027.52

Temporal change/percentage of land cover classes for the study period

Land Cover199920092019

Area [km2]Area [%]Area [km2]Area [%]Area [km2]Area [%]
Bare Land513.23050.97379.88837.7387.2078.66
Built-Up Area19.8861.98163.61216.25489.40048.61
Cultivated Land5.4660.5416.3511.62106.00010.52
Forest Cover102.44510.18135.02413.41143.64414.27
Grassland365.83736.33311.98930.99180.61317.94

TOTAL1,006.864100.001,006.864100.001,006.864100.00
DOI: https://doi.org/10.2478/rgg-2020-0009 | Journal eISSN: 2391-8152 | Journal ISSN: 0867-3179
Language: English
Page range: 29 - 38
Submitted on: Feb 26, 2020
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Accepted on: Nov 9, 2020
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Published on: Dec 31, 2020
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2020 Yahaya A. Aliyu, Terwase T. Youngu, Aliyu Z. Abubakar, Adamu Bala, Christianah I. Jesulowo, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.