A Review Paper on Monitoring Environmental Consequences of Land Cover Dynamics with The Help of Geo-informatics Technologies

  • Ziyad Ahmed Abdo Department of Public Relation and Communication, Ethiopian Ministry of Health, Addis Ababa, Ethiopia
  • Satya Prakash Department of Civil Engineering, Sharda University , Greater Noida, Uttar Pradesh, 201310, India http://orcid.org/0000-0001-6633-7480

Abstract

Land cover dynamics is a challenging and vigorous process that associates natural and human systems that have undeviating effects on atmosphere, water and soil which lead to many environmental problems worldwide. Urbanization is one of a major land cover change that is highly correlated with many environmental problems that need emphasis. This paper aimed to review and present level and effect of land use land cover changes, urbanization, factors affecting land cover change and application of geographic information system & remote sensing in monitoring land cover changes. Over the past 300 years, about 1.2 million kilometer square of forests and 5.6 million kilometer square of pasture and rangeland were replaced by other uses worldwide, while cultivated land increased by 12 million km2. In 1950, only 30 percent of the world population lived in urban settings, the fraction raised to 55% by 2018. This led to about roughly 60% of the ecosystem services are being destroyed or used in unsustainable ways worldwide. Population expansion, change of technology, high land value, corruption, lack of awareness, migration of people and political pressure are among major driving force of land cover changes. Geo-informatics technology specially GIS and Remote Sensing is found to be an excellent tool for study of land cover change that enables observation across large area of earth’s surface with low cost, better efficient and high accuracy. Therefore monitoring, analyzing and evaluation of land cover dynamics with the help of geo-informatics is decisive for improved management & characterizing land cover alteration processes, and determining its environmental consequences.


Keywords :  land use; land cover change;  urbanization; GIS & remote sensing; environment


Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember


Creative Commons License
This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

References

Abebe, M. T., & Megento, T. L. (2016). The city of addis ababa from ‘forest city’ to ‘urban heat island’: Assessment of urban green space dynamics. Journal of Urban and Environmental Engineering, 10(2), 254–262. https://doi.org/10.4090/juee.2016.v10n2.254262

Afify, H. A. (2011). Evaluation of change detection techniques for monitoring land-cover changes : A case study in new Burg El-Arab area. Alexandria Engineering Journal, 50(2), 187–195. https://doi.org/10.1016/j.aej.2011.06.001
Al-doski, J., Mansor, S. B., Zulhaidi, H., & Shafri, M. (2013). Change Detection Process and Techniques. Civil and Environmental Research, 3(10), 37–46.

Ali Khawaldah, H. (2016). A Prediction of Future Land Use/Land Cover in Amman Area Using GIS-Based Markov Model and Remote Sensing. Journal of Geographic Information System, 8(8), 412–427. https://doi.org/10.4236/jgis.2016.83035.

Almutairi, A., & Warner, T. A. (2010). Change Detection Accuracy and Image Properties : A Study. Remote Sens, 2, 1508–1529. https://doi.org/10.3390/rs2061508.

Alqurashi, A. F., & Kumar, L. (2013). Investigating the Use of Remote Sensing and GIS Techniques to Detect Land Use and Land Cover Change: A Review. Advances in Remote Sensing, 02(02), 193–204. https://doi.org/10.4236/ars.2013.22022.

Al-wassai, F. A., & Kalyankar, N. V. (2013). Major limitations of satellite images. Journal of Global Research in Computer Science, 4(5), 51–59.Available Online at www.jgrcs.info.

Andreas B. B., Catherine, B., Lukas, B., Pierre, D., Celine, E., Francois, D., Andrea, L.& Katerina,T. (2013). Anthropogenic pressure in East Africa—Monitoring 20 years of land cover changes by means of medium resolution satellite data. International Journal of Applied Earth Observation and Geoinformation, 28, 60–69. https://doi.org/10.1016/j.jag.2013.11.006.

Awoke, B. G. (2010). The role of geo information technology for predicting and mapping of forest cover spatio-temporal variability: Dendi district case study, Ethiopia. Journal of Sustainable Development in Africa, 12(6), 9–33.

Ayele, A.F., Hiroshi, Y., Nigussie, H., Ashebir, S. B., Zelalem, H., Mewcha, A. G.,and Getachew, M. (2018). The dynamics of urban expansion and land use / land cover changes using remote sensing and spatial metrics : the case of Mekelle City of northern Ethiopia. International Journal of Remote Sensing,38(14), 4107–4129. https://doi.org/10.1080/01431161.2017.1317936.

Azeb ,W.D., Florian, Z., & Wolfram, M. (2018). Assessing land use and land cover changes and agricultural farmland expansions in Gambella Region , Ethiopia , using Landsat 5 and Sentinel 2a multispectral data. Heliyon, 4, Article No-e00919. https://doi.org/10.1016/j.heliyon.2018.e00919.

Barani, S., Seelam S., Venkatesh A. & Reddy N.R (2018). Effectiveness of Geographic Information System and Remote Sensing Technology as a Decision Support Tool in Land Administration the Case of Yeka Sub City , Addis Ababa. International Journal of Innovative Research in Science, Engineering and Technology, 7(3), 1942–1948. https://doi.org/10.15680/IJIRCCE.2018.0603029.

Bagan, H., & Yamagata, Y. (2014). Land-cover change analysis in 50 global cities by using a combination of Landsat data and analysis of grid cells. Environmental Research Letters, 9(6), 2000–2010. https://doi.org/10.1088/1748-9326/9/6/064015.

Battista, G., & de Lieto Vollaro, R. (2017). Correlation between air pollution and weather data in urban areas: Assessment of the city of Rome (Italy) as spatially and temporally independent regarding pollutants. Atmospheric Environment, 165, 240–247. https://doi.org/10.1016/j.atmosenv.2017.06.050.

Bay, A. Q., & El-hattab, M. M. (2016). Applying post classification change detection technique to monitor an Egyptian coastal zone. The Egyptian Journal of Remote Sensing and Space Sciences, 19(1), 23–36. https://doi.org/10.1016/j.ejrs.2016.02.002.

Bisrat, K. A., Gizaw, M. T., Gerrit, H. S., & Tsegaye, T. (2018). Influence of urbanization-driven land use/cover change on climate: The case of Addis Ababa, Ethiopia. Physics and Chemistry of the Earth, 105, 212–223. https://doi.org/10.1016/j.pce.2018.02.009.

Charles, G., Julius, M. N., & Ramadhan, W. S. (2016). Hydrological responses to land use/cover changes in the Olifants Basin, South Africa. Water (MDPI), 8(12), 1–16. https://doi.org/10.3390/w8120588.

Chen, M., Zhang, H., Liu, W., & Zhang, W. (2014). The global pattern of urbanization and economic growth: Evidence from the last three decades. PLoS ONE, 9(8). https://doi.org/10.1371/journal.pone.0103799.

Chetan, Glen, M., J.Morgan Grove, Tom P.Evans, C. M. schwei. (2002). A Review and Assessment of Land-Use Change Models: Dynamics of Space, Time, and Human Choice. United States Department of Agriculture Northeastern Research Station. Washington, D.C. Retrieved from https://www.nrs.fs.fed.us/pubs/gtr/gtr_ne297.pdf.

Cui, L., & Shi, J. (2012). Urbanization and its environmental effects in Shanghai, China. Urban Climate, 2, 1–15. https://doi.org/10.1016/j.uclim.2012.10.008.

Dawson, R. J., Hall, J. W. andBarr. (2009). A blueprint for the integrated assessment of climate change in cities. Tyndall Centre for Climate Change Research, (129), 1–26.

Devi, R. N. (2015). Change detection techniques - a sur v ey. International Journal on Computational Science & Applications, 5(2), 45–57. https://doi.org/10.5121/ijcsa.2015.5205.

Erle Ellis. (2007). Land­use and land­cover change and Climate change. In The Encyclopedia of Earth (p. 4). Washington, D.C.: Environmental Information Coalition, National Council for Science and the Environment. Retrieved from https://web.archive.org/web/20070503192914/http://www.eoearth.org/article/Land­use_and_land­cover_change.

Faye, L. C., Sambou, H., Kyereh, B., & Sambou, B. (2016). Land Use and Land Cover Change in a Community-Managed Forest in South-Eastern Senegal Under a Formal Forest Management Regime, 5(1), 1–10. https://doi.org/10.11648/j.ajep.20160501.11.

Galal, E. O., Babiker, A., & Fatima, A. M. (2015). Assessing the Impact of Different Land Use Activities on the Vegetation Cover and Sustainable Livelihoods along the Banks of Niles at Khartoum State, Sudan. Journal of Geoscience and Environment Protection, 03(03), 52–61. https://doi.org/10.4236/gep.2015.33005.

Gashu, K., & Egziabher, T. G. (2018). Spatiotemporal trends of urban land use / land cover and green infrastructure change in two Ethiopian cities : Bahir Dar and Hawassa. Environmental Systems Research, 7(8), 0111-3. https://doi.org/10.1186/s40068-018-0111-3.

Gebrekidan, W., Amare, B., and Habtamu T. (2014). Land use and land cover change in Ameleke Watershed, South Ethiopia. Journal of Natural Sciences Research Www, 4(14), 2225–921.

Ghosh, S., & Das, A. (2019). Remote Sensing Applications : Society and Environment Urban expansion induced vulnerability assessment of East Kolkata Wetland using Fuzzy MCDM method. Remote Sensing Applications: Society and Environment, 13, 191–203. https://doi.org/10.1016/j.rsase.2018.10.014.

Grafius, D. R., Corstanje, R., Warren, P. H., Evans, K. L., Hancock, S., & and Harris, J. A. (2016). The impact of land use / land cover scale on modelling urban ecosystem services. Landscape Ecology, 31(7), 1509–1522. https://doi.org/10.1007/s10980-015-0337-7.

Gregorio, L. J. M. J. and A. Di. (2002). Parametric land cover and land-use classifications as tools for environmental change detection. Agriculture, Ecosystems and Environment, 91(1–3), 89–100. https://doi.org/10.1016/S0167-8809(01)00243-2.

Grimm, B. N. B., Faeth, S. H., Golubiewski, N. E., Redman, C. L., Bai, X., Briggs, J. M., … Golubiewski, N. E. (2008). Global Change and the Ecology of Cities. American Association for the Advancement of Science, 319(5864), 756–760. https://doi.org/10.1126/science.1150195.Abstract.

Hailemariam, S. N., Soromessa, T., & Teketay, D. (2016). Land Use and Land Cover Change in the Bale. MDPI Land, 5(41). https://doi.org/10.3390/land5040041.

Afera, H., Asirat, T., Ermias. S., & Imran, A. (2018). Dynamics of Land Use and Land Cover Change Using Remote Sensing and GIS : A Case Study of Debre Tabor Town, South Gonder, Ethiopia. Geographic Information System, 10, 165–174. https://doi.org/10.4236/jgis.2018.102008.

Hassan, Z., Shabbir, R., Ahmad, S. S., Malik, A. H., Aziz, Neelam, A., & Butt, A. (2016). Dynamics of land use and land cover change ( LULCC ) using geospatial techniques : a case study of Islamabad Pakistan. SpringerPlus, 5, 812. https://doi.org/10.1186/s40064-016-2414-z.

Henderson, J. V and Davis J.C. (2003). Evidence on the political economy of the urbanization process. Journal of Urban Economics, 53(1), 98–125. https://doi.org/10.1016/S0094-1190(02)00504-1.

Hernández-Guzmán, R., Ruiz-Luna, A., & González, C. (2019). Assessing and modeling the impact of land use and changes in land cover related to carbon storage in a western basin in Mexico. Remote Sensing Applications: Society and Environment, 13, 318–327. https://doi.org/10.1016/j.rsase.2018.12.005.

Herold, M., Scepan, J., & Clarke, K. C. (2002). The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environment and Planning A, 34(8), 1443–1458. https://doi.org/10.1068/a3496.

Jing, Q., Qiming, Z., & Quan, H. (2007). Comparison of pixel-based and object-oriented classification methods for extracting built-up areas in arid zone. In ISPRS workshop on updating Geo-spatial databases with imagery & the 5th ISPRS workshop on DMGISs (Vol. 8, pp. 163–171).

Jokar, J. (2011). Dynamic land use/cover change simulation:Geosimulation and Multi Agent-Based Modelling. University of Vienna, Austria. https://doi.org/10.1007/978-3-642-23705-8.

Kebede, A. S. (2018). Assessment of Land Use / Land Cover Change Using GIS and Remote Sensing Techniques : A Case Study of Dendi District , Oromiya Regional State , Ethiopia. Journal of Environment and Earth Science, 8(1), 123–128.

Kindu, M., Schneider, T., Teketay, D., & Knoke, T. (2015). Drivers of land use/land cover changes in Munessa-Shashemene landscape of the south-central highlands of Ethiopia. Environmental Monitoring and Assessment, 187(452). https://doi.org/10.1007/s10661-015-4671-7.

Kumar, K. S., Valasala, N. V. A. S. S., Subrahmanyam, J. V. V, Mallampati, M., Shaik, K., & Ekkirala, P. (2015). Prediction of Future Land Use Land Cover Changes of Vijayawada City Using Remote Sensing and Gis. International Journal of Innovative Research in Advanced Engineering (IJIRAE), 2(3), 91–97.

Kumar, M., Singh, R. B., Pravesh, R., Kumar, P., Tripathi, D. K., & Sahu, N. (2018). Urban growth dynamics and modelling using remote sensing data and multivariate statistical techniques. Current Science, 114(10), 2080–2091. https://doi.org/10.18520/cs/v114/i10/2080-2091.

Lepers, E. (2014). Dynamics Of Land -Use and Land -Cover Change in Tropical Regions. Annual Review of Environment and Resources, (June). https://doi.org/10.1146/annurev.energy.28.050302.105459.

Liu, Y. (2009). Exploring the relationship between urbanization and energy consumption in China using ARDL (autoregressive distributed lag) and FDM (factor decomposition model). Energy, 34(11), 1846–1854. https://doi.org/10.1016/j.energy.2009.07.029.

Liu, Z., He, C., Zhou, Y., & Wu, J. (2014). How much of the world’s land has been urbanized, really? A hierarchical framework for avoiding confusion. Landscape Ecology, 29(5), 763–771. https://doi.org/10.1007/s10980-014-0034-y
Lu, D., & Moran, E. (2004). Change Detection Techniques. Int. j. remote sensing, 25(12), 2365–2407. https://doi.org/10.1080/0143116031000139863.

Mausel, P., Brondi, E. and Moran, E. (2004). Change detection techniques. International Journal of Remote Sensing, 25(12), 2365–2401. https://doi.org/10.1080/0143116031000139863.

Mcgranahan, G and Ivan, T. (2013). Urbanization and economic growth: The arguments and evidence for Africa and Asia. Environment and Urbanization, 25(2), 465–482. https://doi.org/10.1177/0956247813490908.

Mengistu, T. (2016). Horizontal Urban Expansion And Livelihood Adjustment Problem Among Ex-Farmers In The Kebeles Surrounding Jimma Town: The Case Of Derba Kebele. European Scientific Journal, ESJ, 12(14), 308. https://doi.org/10.19044/esj.2016.v12n14p308.

Mercy, C. C., Matheaus, K .K., Patrick, D. K, and Patrick, K. (2016). Assessment of Land Use and Land Cover Change Using GIS and Remote Sensing. Remote Sensing & GIS, 5(4), 2469–4134. https://doi.org/10.4175/2469-4134.1000175.

Mikias, B. M. (2015). Land Use/Land Cover Dynamics in the Central Rift Valley Region of Ethiopia: Case of Arsi Negele District. African Journal of Agricultural Research, 10(5), 434–449. https://doi.org/10.5897/ajar2014.8728.

Mishra, S., & Dhurvey, P. (2018). Change Detection Techniques in Remote Sensing : A Review Change Detection Techniques in Remote Sensing : A Review. International Journal of Wireless and Mobile Communication for Industrial Systems, 4(1), 1–8. https://doi.org/10.21742/ijwmcis.2017.4.1.01.

Mohamed, N., & Mobarak, B. (2016). Change Detection Techniques using Optical Remote Sensing : A Survey. American Scientific Research Journal for Engineering, Technology, and Sciences, 17(1), 42–51.

Mohan, M., & Kandya, A. (2015). Impact of urbanization and land-use/land-cover change on diurnal temperature range: A case study of tropical urban airshed of India using remote sensing data. Science of the Total Environment, 453–465. https://doi.org/10.1016/j.scitotenv.2014.11.006.

Molders, N. (2012). Land-use and land-cover change impact on climate and air quality. (K. H. Lawrence A. Mysak, Ed.). New York: Springer atmospheric annd Oceanographic sciences library 44. https://doi.org/10.1007/978-94-007-1527-1.

Montgomery, M. R. (2008). The urban transformation of the developing world. Science, 319(5864), 761–764. https://doi.org/10.1126/science.1153012.

Mubea, K., & Menz, G. (2012). Monitoring Land-Use Change in Nakuru (Kenya) Using Multi-Sensor Satellite Data. Advances in Remote Sensing, 01(03), 74–84. https://doi.org/10.4236/ars.2012.13008.

Nation, U. (2018). World Urbanization Prospects: The 2018 Revision. Department of Economic and Social Affairs, Population Division. New York: Department of Economic and Social Affairs. https://doi.org/10.1016/j.ijgo.2007.03.023

Obodai, J., Amaning, K., Nii, S., & and Lumor, M. (2019). land cover dynamics using landsat data in a gold mining basin-the Ankobra, Ghana. Remote Sensing Applications: Society and Environment, 13, 247–256. https://doi.org/10.1016/j.rsase.2018.10.007.

Otukei, J. R., & Blaschke, T. (2010). Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms. International Journal of Applied Earth Observation and Geoinformation, 12, 27–31. https://doi.org/10.1016/j.jag.2009.11.002.

Padmanaban, R., Bhowmik, A. K., Cabral, P., Zamyatin, A., Almegdadi, O., & Wang, S. (2017). Modelling Urban Sprawl Using Remotely Sensed Data : A Case Study of Chennai City , Tamilnadu. Entropy, 19(163). https://doi.org/10.3390/e19040163.

Park, N. (2016). Detecting Trends in Landuse and Landcover Change of Nech Sar. Environmental Management, 57(1), 137–147. https://doi.org/10.1007/s00267-015-0603-0.

Patra, S., Sahoo, S., Mishra, P., & Mahapatra, S. C. (2018). Impacts of urbanization on land use /cover changes and its probable implications on local climate and groundwater level. Journal of Urban Management, 7(2), 70–84. https://doi.org/10.1016/j.jum.2018.04.006.

Phinn, S. R. (1998). A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and management. International Journal of Remote Sensing, 19(17), 3457–3463. https://doi.org/10.1080/014311698214136.

Phiri, D., & Morgenroth, J. (2017). Developments in Landsat Land Cover Classification Methods : A Review. Remote Sense, 9(967), 1–25. https://doi.org/10.3390/rs9090967.

Pielke, R. A., Pitman, A., Niyogi, D., Mahmood, R., McAlpine, C., Hossain, F., … de Noblet, N. (2011). Land use/land cover changes and climate: Modeling analysis and observational evidence. Wiley Interdisciplinary Reviews: Climate Change, 2(6), 828–850. https://doi.org/10.1002/wcc.144.

Popović, Z. (2017). Shifting Between Forests and Adjacent Areas: Ecotones and Zoonoses ☆. In Earth Systems and Environmental Sciences (pp. 1–9). https://doi.org/10.1016/b978-0-12-409548-9.10935-2.

Prashant, K. S., Dawei, Han., Miguel, A., Rico-Ramirez., Michaela, B., & Tanvir, I. (2012). Selection of classification techniques for land use/land cover change investigation. Advances in Space Research, 50(9), 1250–1265. https://doi.org/10.1016/j.asr.2012.06.032.

Reda, A. G. (2017). Framework for Carbon Sequestration and Accounting of SLM Practices for Climate Change Mitigation in Ethiopia. Internationatianal Journal of Environmental Science & Natural Resources, 4(2), 001-015. https://doi.org/10.19080/IJESNR.2017.04.555631.

Roland E. Schulze. (2000). Modelling Hydrological Responses to Land Use and Climate Change: A Southern African Perspective. AMBIO: A Journal of the Human Environment, 29(1), 12–22. https://doi.org/10.1579/0044-7447-29.1.12.

Rozenstein, O., & and Karnieli, A. (2011). Comparison of methods for land-use classi fi cation incorporating remote sensing and GIS inputs. Applied Geography, 31, 533–544. https://doi.org/10.1016/j.apgeog.2010.11.006.

Russell G. Congalton, K. G. (2009). Assessing the accuracy of remotely sensed data principle and practice (Second). New York: Library of Congress Cataloging-in-Publication Data Congalton,. Retrieved from http://www.crcpress.com.

Sadoun, B., & Al Rawashdeh, S. (2009). Applications of GIS and Remote Sensing techniques to land use management. In 2009 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2009 (pp. 233–237). https://doi.org/10.1109/AICCSA.2009.5069330.

Sarkar, A. (2018). Accuracy Assessment and Analysis of Land Use Land Cover Change Using Geoinformatics Technique in Raniganj Coalfield Area , India. Environmental Sciences & Natural Resources, 11(1), IJESNR.MS.ID.555805. https://doi.org/10.19080/IJESNR.2018.10.555805.

Seto, K. C., Guneralp, B., & Hutyra, L. R. (2012). Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences, 109(40), 16083–16088. https://doi.org/10.1073/pnas.1211658109.

Seto, K. C., Parnell, S., Masundire, H., Güneralp, B., & Lwasa, S. (2017). Urbanization in Africa: challenges and opportunities for conservation. Environmental Research Letters, 13(1), 015002. https://doi.org/10.1088/1748-9326/aa94fe

Shiferaw, A. (2011). Evaluating the land use an land cover dynamics in Borena Woreda of south Wollo highlands, Ethiopia. Journal of Sustainable Development in Africa, 13(1), 87–107.

Song, Y. (2011). Ecological city and urban sustainable development. Procedia Engineering, 21, 142–146. https://doi.org/10.1016/j.proeng.2011.11.1997.

Srivasatava, M.R. and Satyaprakash. (2020). Urban heat island effect over Delhi NCR usingLANDSAT™ data, Int. J. Global Warming, In press.

Stéphenne, N., & Lambin, E. F. (2001). A dynamic simulation model of land-use changes in Sudano-sahelian countries of Africa ( SALU ). Agricultural Ecosystems and Environment, 85, 145–161.

Stephen, J., & Kelley, A. C. (2002). Linking people, pkace, and policy: A GIScience approach. (S. J. and K. A. C.-M. Walsh, Ed.). Austin, USA: Springer science+ buslness media, LLC. https://doi.org/10.1007/978-1-4615-0985-1.

Summers, J. K., Smith, L. M., Case, J. L., & Linthurst, R. A. (2012). A review of the elements of human well-being with an emphasis on the contribution of ecosystem services. The Royal Swedish Academy of Science, 41(4), 327–340. https://doi.org/10.1007/s13280-012-0256-7.

Tadesse Amsalu, A. M. (2014). GIS Based Soil Loss Estimation Using RUSLE Model: The Case of Jabi Tehinan Woreda, ANRS, Ethiopia. Natural Resources, 05(11), 616–626. https://doi.org/10.4236/nr.2014.511054.

Taha, H. (2008). Urban climates and heat islands: albedo, evapotranspiration, and anthropogenic heat. Energy and Buildings, 96(25), 985–986. https://doi.org/10.1016/S0378-7788(96)00999-1.

Tawhida, A. Y., Abdelrahim, A. M., and Elmugheira, M. I. (2015). Land Use / Land Cover Change Detection due to Urbanization Case Study : Southern part of Khartoum. Journal of Natural Resources and Environmental Study, 6(2), 1–8.

Terefe, T., Feyera, S., & Moges, K. (2017). The impact of land use/land cover change on ecosystem services in the central highlands of Ethiopia. Ecosystem Services, 23, 47–54. https://doi.org/10.1016/j.ecoser.2016.11.010.

Tesfa, W. M., Tripathi S.K, & Deepak, K (2016). Analyses of land use and land cover change dynamics using GIS and remote sensing during 1984 and 2015 in the Beressa Watershed Northern Central Highland of Ethiopia. Modeling Earth Systems and Environment, 2(4), 1–12. https://doi.org/10.1007/s40808-016-0233-4.

Thomas M. Lillesand, Ralph W. Kiefer, J. W. C. (2015). Remote sensing and Image interpretation. Library ofCongress Cataloging-in-Publication (7th ed.). New York.

Tolera, M., Taffa, T., & Mekuria, A. (2018). Effects of Urban Land Use / Cover Dynamics on Peri-urban. International Journal of Energy and Environmental Science, 3(3), 51–60. https://doi.org/10.11648/j.ijees.20180303.11

UnitedNation. (2018a). The World ’s Cities in 2018. Economics & Social Affairs. New York.

UnitedNation. (2018b). World Urbanization Prospects:The speed of urbanization around the world. Department of Economic and Social Affairs Population Division, (No. 2018/1), 1–2. Retrieved from https://population.un.org/wup/Publications/Files/WUP2018-PopFacts_2018-1.pdf

Verburg, P. H., van de Steeg, J., Veldkamp, A., & Willemen, L. (2009). From land cover change to land function dynamics: A major challenge to improve land characterization. Journal of Environmental Management, 90(3), 1327–1335. https://doi.org/10.1016/j.jenvman.2008.08.005.

Walter V. Reid, Harold A. Mooney, Angela Cropper, Doris Capistrano, Stephen R. Carpenter, Kanchan Chopra, Partha Dasgupta, Thomas Dietz, Anantha Kumar Duraiappah, Rashid Hassan, Roger Kasperson, Rik Leemans, Robert M. May, Tony (A.J.) McMichael, Prabhu Pi, and M. B. Z. (2005). Ecosystems and human well- being: Millennium Ecosystem Assessment. (J. S. and A. Whyte, Ed.). Washigton DC: Jose Sarukhan and Anne Whyte. Retrieved from https://www.millenniumassessment.org/documents/document.356.aspx.

Weng, Q and Lu D. (2007). A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28(5), 823–870. https://doi.org/10.1080/01431160600746456.

Weng, Q. (2016). Remote Sensing and GIS Integration. In Encyclopedia of Environmental Management (pp. 2271–2274). https://doi.org/10.1081/e-eem-120001835.

Wossenu, A., & Assefa, M. M. and. (2016). Landscape Processes in and Hydrological Dynamics, Soils in Varied Climates. (W. A. Assefa M.Melesse, Ed.). switzerland: Springer Geography. https://doi.org/10.1007/978-3-319-18787-7.

Yan, Z. W., Wang, J., Xia, J. J., & Feng, J. M. (2016). Review of recent studies of the climatic effects of urbanization in China. Advances in Climate Change Research, 7(3), 154–168. https://doi.org/10.1016/j.accre.2016.09.003.

Yared, G., Heyaw, T., Stephan, P., & Mengistie, K. (2019). Urban green spaces supply in rapidly urbanizing countries: The case of Sebeta Town, Ethiopia. Remote Sensing Applications: Society and Environment, 13(27), 138–149. https://doi.org/10.1016/j.rsase.2018.10.019.

Yue C., Kang H., Xuxiang Li., & Yunwei Z, & Pei Chen (2018). Review of Land Use and Land Cover Change research progress. In IOP Conference Series: Earth and Environmental Science (p. 012087). https://doi.org/10.1088/1755-1315/113/1/012087.

Zhang, M., Huang, X., Chuai, X., Yang, H., Lai, L., & Tan, J. (2015). Impact of land use type conversion on carbon storage in terrestrial ecosystems of China : A spatial- temporal perspective. Sci. Rep, 5, 1–13. https://doi.org/10.1038/srep10233.

Zhang, P., Rijal, S., Keshtkar, H., Rimal, B., Zhang, L., & Haack, B. (2018). Land Use/Land Cover Dynamics and Modeling of Urban Land Expansion by the Integration of Cellular Automata and Markov Chain. ISPRS International Journal of Geo-Information, 7(4), 154. https://doi.org/10.3390/ijgi7040154.
Published
2020-12-30
How to Cite
ABDO, Ziyad Ahmed; PRAKASH, Satya. A Review Paper on Monitoring Environmental Consequences of Land Cover Dynamics with The Help of Geo-informatics Technologies. Geosfera Indonesia, [S.l.], v. 5, n. 3, p. 364-389, dec. 2020. ISSN 2614-8528. Available at: <https://jurnal.unej.ac.id/index.php/GEOSI/article/view/18284>. Date accessed: 07 nov. 2024. doi: https://doi.org/10.19184/geosi.v5i3.18284.
Section
Review Articles