Full Paper View Go Back

Rate of Land use land cover Changes of Setema District Jimma Zone South west, Ethiopia

Tadesse Leta Jiru1

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.2 , pp.30-41, Jun-2021


Online published on Jun 30, 2021


Copyright © Tadesse Leta Jiru . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

View this paper at   Google Scholar | DPI Digital Library


XML View     PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Tadesse Leta Jiru, “Rate of Land use land cover Changes of Setema District Jimma Zone South west, Ethiopia,” World Academics Journal of Engineering Sciences, Vol.8, Issue.2, pp.30-41, 2021.

MLA Style Citation: Tadesse Leta Jiru "Rate of Land use land cover Changes of Setema District Jimma Zone South west, Ethiopia." World Academics Journal of Engineering Sciences 8.2 (2021): 30-41.

APA Style Citation: Tadesse Leta Jiru, (2021). Rate of Land use land cover Changes of Setema District Jimma Zone South west, Ethiopia. World Academics Journal of Engineering Sciences, 8(2), 30-41.

BibTex Style Citation:
@article{Jiru_2021,
author = {Tadesse Leta Jiru},
title = {Rate of Land use land cover Changes of Setema District Jimma Zone South west, Ethiopia},
journal = {World Academics Journal of Engineering Sciences},
issue_date = {6 2021},
volume = {8},
Issue = {2},
month = {6},
year = {2021},
issn = {2347-2693},
pages = {30-41},
url = {https://www.isroset.org/journal/WAJES/full_paper_view.php?paper_id=2433},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/WAJES/full_paper_view.php?paper_id=2433
TI - Rate of Land use land cover Changes of Setema District Jimma Zone South west, Ethiopia
T2 - World Academics Journal of Engineering Sciences
AU - Tadesse Leta Jiru
PY - 2021
DA - 2021/06/30
PB - IJCSE, Indore, INDIA
SP - 30-41
IS - 2
VL - 8
SN - 2347-2693
ER -

208 Views    255 Downloads    58 Downloads
  
  

Abstract :
LULCC is the result of the long-time process of natural and anthropogenic activities that have been practiced on the land. The study intended to carry out the rate of land use /land cover changes, trends, and their magnitude over the last 30 years (1988-2018). The study has initiated loss of biodiversity (used for food, fuelwood, construction medicine, etc.) and wetland expansion to agricultural land. The study has used QGIS software 2.18.3. SCP plug-in extension 5.4.2 and MOULUSCE plug-in extended version.3 for image detection, classification, and Simulation. The LULCC classification result revealed that at the base period of 1988 Land sat imagery, forest land (56.22%), grassland (15.7%), Agricultural land(23.13%), Bare land(0.03%), wetland (2.18), and Settlement land(1. 58%) were identified with their respective percentage. On the contrary in the recent period of 2018 land sat imagery forest land, grassland, wetland were decreased to (39.71%), (6.53%), (0.87%),(23.13%) respectively. The maps of 1998 and 2008 were used to simulate the LULC for 2018 using MOLUSCE available in QGIS software. The predicted result was compared with the classified LULC map of 2018 to validate the model. Finally, based on this, the prediction of future LULC for the years 2028 was performed. The outcomes of this study show that there would be decreasing in forestland; grassland and increasing in agricultural land and settlement area.

Key-Words / Index Term :
Cellular Automata, Geographic Information system, Land use/land cover change, Modules for Land Use Change Evaluation, Quantum Geographical Information system, Semi-automatic Classification Plug-in

References :
[1] Adimasu Woldesenbet Worako. 2016, "Land Use Land Cover Change Detection by Using Remote Sensing Data in Akaki River Basin", International Journal of Environment, Agriculture and Biotechnology.1 (1).
[2] Anderson, J.R.1976, "A land use and land cover classification system for use with remote sensor data," (Vol. 964). US Government Printing Office.
[3] Araya, Y. H., & Cabral, P. 2009, "Analysis and Modeling of Urban Land Cover Change in Setúbal and Sesimbra, Portugal". Remote Sensing (Vol. 6).
[4] Bakker, W.H.; Gorte, B.G.H.; Janssen, L.L.E.; Pohl, C.; Prakash, A.; Reeves, C.V.; Weir, M.J.C.; Woldai, T, "Principles of Remote Sensing, " ITC: Enschede, The Netherlands, 2001. p:180.
[5] Baldyga, T. J., Miller, S. N., Driese, K. L., & & Gichaba, C. M. 2008, "Assessing land cover change in Kenya`s Assessing land cover change in Kenya`s", (Vol. 46): African Journal of Ecology.
[6] Binyam Tesfaw Hailu ,Mekbib Fekadu ,Thomas Naus.2018, "Availability of global and national scale land cover products and their accuracy in mountainous areas of Ethiopia: a review",Journal of Applied Remote Sensing.12 (4):41p.
[7] Congalton, R. G. 1991, "A Review of Assessing the Accuracy of Classifications of Remotely Sensed data, in Epilepsy Currents ",Available at:doi: 10.5698/1535-7511-16.3.198. 198–205p.
[8] DeFries, R. S., Rudel, T., Uriarte, M., & Hansen, M. 2010,"Deforestation driven by urban population growth and agricultural trade in the twenty-first century", (Vol. 3): Nature Geosciences.
[9] Evans, J. D. 1996, "Straightforward statistics for the behavioral sciences", Pacific Grove, CA: Brooks/Cole.
[10] Jaimes, N. B. P., Sendra, J. B., Delgado, M. G., & Plata, R. F. (2010), "Exploring the driving forces behind deforestation in the state of Mexico (Mexico) using geographically weighted regression", (Vol. 30): Applied Geography.
[11] Kim, C. 2016, "Land use classification and land use change analysis using satellite images in Lombok Island, Indonesia, Forest Science and Technology",Taylor & Francis, 12(4):183–191p.doi: 10.1080/21580103.2016.1147498.
[12] Landis, J. R., & Koch, G. G. 1997, "The measurement of observer agreement for categorical data",Biometrics 33(1):159-174p.
[13] Long, H., Tang, G., Li, X., & Heilig, G. K. 2007, "Socio-economic driving forces of land-use change in unshan, the Yangtze River Delta economic area of China", (Vol. 83): Journal of Environmental Management.
[14] Meyfroidt, P., & Lambin, E. F. 2008. The Causes of the Reforestation in Vietnam. 25: Land Use Policy.
[15] MoFED.2010, "Ministry of Finance and Economic Development Growth and Transformation Plan", 2010/11-2014/15, Federal Democratic Republic of Ethiopia .Volume I: Main Text Draft, Addis Ababa, Ethiopia, 2010
[16] Polisgowdar, B. S., Ayyanagowdar, M. S. and Dandekar, A. T. 2018, "Accuracy Assessment of Supervised and Unsupervised Classification using Landsat-8 Imagery of D-7 Shahapur Branch Canal of UKP Command Area Karnataka ,India",7(07):p.205–216.
[17] Pontius, R. G., & Suedmeyer, B. 2004",Components of Agreement between Categorical Maps at Multiple Resolutions".
[18] Prestele, Reinhard Arneth, Almut Bondeau, Alberte De Noblet-Ducoudré, Nathalie Pugh,Thomas A.M.Sitch, StephenStehfest, ElkeVerburg, Peter H.2017,"Current challenges of implementing anthropogenic land-use and land-cover change in models contributing to climate change assessments’, Earth System Dynamics", 8(2):p.369–386. doi: 10.5194/esd-8-369-2017
[19] Reddy, M. A. 2008, "Remote Sensing and Geographical Information Systems", Components.doi:10.1017/S0376892900039278.regression.(Vol.30):AppliedGeography
[20] Serneels, S., & Lambin, E. F. 2001,P"roximate causes of land-use change in Narok District, Kenya: a spatial statistical model",(Vol. 85): Agriculture, Ecosystems & Environment.
[21] Serra, P., & Pons, S., D. 2008. Land-cover
and land-use change in a Mediterranean
land scape: a Spatial analysis of driving
forces integrating biophysical and human
factors. Applied Geography,
28(3), (Vol. 28): Applied Geography.
[22] Seto, K. C., & Kaufmann, R. K. 2003, "Modeling the drivers of urban land use change in the Pearl River elta, China: integrating remote sensing with socioeconomic data", (Vol. 76): Land Economics, 79(1), 106-121.
[23] Verburg, P. H., Van Eck, J. R., De Nijs, T. C., Dijst, M. J., Schot, P.,. 2004, "Determinants of land use change patterns in the Netherlands",Environment and Planning B, 31(1), 125-150 (Vol. 31)
[24] Were, K., Dick, Ø. B., & Singh, B. R.2014, "Exploring the geophysical and socio-economic determinants of land cover changes in Eastern Mau forest reserve and Lake Nakuru drainage basin, Kenya",(Vol. 79): Geo Journal.factors. Applied Geography, 28(3), (Vol. 28): Applied Geography.

Authorization Required

 

You do not have rights to view the full text article.
Please contact administration for subscription to Journal or individual article.
Mail us at  support@isroset.org or view contact page for more details.

Go to Navigation