Land cover land use mapping and change detection analysis using geographic information system and remote sensing

Akumu, C.E.; Dennis, S.; Reddy, C.

doi:10.22034/IJHCUM.2018.03.01

Document Type : ORIGINAL RESEARCH ARTICLE

Authors

Department of Agricultural and Environmental Sciences, College of Agriculture, Tennessee State University, Nashville, Tennessee, USA

https://doi.org/10.22034/IJHCUM.2018.03.01

Abstract

Land cover/land use categories are relevant components in land management. Understanding how land cover/land use change over time is necessary to assess the consequences of humans and natural stressors on the earth’s environment and resources. The aim of the study was to map and monitor the spatial and temporal change in land cover/land use for the periods of 1977, 1991 and 2016 and to predict change detection areas in Davidson County, Tennessee. The land cover/land use categories were classified using maximum likelihood algorithm and post classification comparison change detection analysis was performed. Classified image differencing technique was also used to predict change detection areas in Geographic Information System. The land cover/land use categories were successfully classified with a kappa value of about 78%. The land cover/land use classes changed significantly from 1977 to 2016 in Davidson County, Tennessee. Wetlands and bare land had a net decrease on average of about 97% between 1977 and 2016 whereas; developed areas and forest had a net increase on average of around 40% between 1977 and 2016. Urbanization appeared to be one of the main drivers of the change in land cover/land use. This information could be used in land management and planning by environmental managers, policy makers and other stakeholders.

Keywords

Main Subjects

Human capital in urban management

References

Akumu, C.E.; Pathirana, S.; Baban, S.; Bucher, D., (2010). Monitoring coastal wetland communities in north-eastern NSW using ASTER and Landsat satellite data. Wet. Ecol. Manage.,18: 357–365 (9 pages).

Akumu, C.E.: Henry, J.; Gala, T.; Dennis, S.; Reddy, C.; Tegegne, F.; Haile, S.; Archer, R.S., (2018). Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques. Global J. Environ. Sci. Manage., 4(4): 387-400 (14 pages).

Anderson, J.R.; Hardy, E.E.; Roach, J. T.; Witmer, R.E., (1976). A Land Use And Land Cover Classification System For Use With Remote Sensor Data, Geological Survey Professional Paper 964 , United States Government Printing Office, Washington.

Archard, F.; D’Souza, G., (1994). Collection and Pre-Processing of NOAA-AVHRR 1 km Resolution Data for Tropical Forest Resource Assessment: Report EUR 16055, European Commission: Luxembourg.

Cohen, M.J.; Irena, F.; Creed, I.F.; Alexander, L.; Basu, N.B.; Calhoun, A. J. K.; Craft, C.; D’amico, E.; Dekeyser, E.; Fowler, L., (2016). Do geographically isolated wetlands influence landscape functions? Proc. Natl. Acad. Sci. USA, 113: 1978–1986 (9 pages).

Congalton, R.G., (1991). A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Rem. Sens. Environ., 37: 35-46 (12 pages).

d’Amour, C.B.; Reitsma, F.; Baiocchi, G.; Barthel, S.; Güneralp, B.; Erb, K. H.; Haberl, H.; Creutzig, F.; Seto, K.C., (2017). Future urban land expansion and implications for global croplands. PNAS, 114(34): 8939-8944 (6 pages).

Environmental Systems Research Institute, (2018). Environmental Systems Research Institute (ESRI), Redlands, CA.

Eva, H.; Lambin, E.F., (1998). Burnt area mapping in Central Africa using ATSR data. Internat. J. of Remote Sens, 19: 3473-3497 (25 pages).

Hodges, J. A.; Norrell, R. J.; Sarah, M. H., (2018). Tennessee: Encyclopedia Britannica, Inc.

Homer, C.; Dewitz, J.; Yang, L.; Jin, S.; Danielson, P.; Xian, G.; Coulston, J.; Herold, N.; Wickham, J.; Megown, K., (2015). Completion of the 2011 National Land Cover Database for the Conterminous United States – Representing a Decade of Land Cover Change Information. Photogramm. Eng. Rem. Sens., 81: 345-354 (10 pages).

Liping, C.; Yujun, S.; Saeed, S., (2018). Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques -A case study of a hilly area, Jiangle, China. PLoS ONE, 13(7): e0200493 (24 pages).

Luo, K.; Hu, X.; He, Q.; Wu, Z.; Cheng, H.; Hu, Z.; Mazumder, A., (2018). Impacts of rapid urbanization on the water quality and macroinvertebrate communities of streams: A case study in Liangjiang New Area, China. Scie. of The Tot. Envir., 621: 1601-1614 (14 pages).

Mather, P.M., (1999). Computer processing of remotely-sensed images, John Wiley and Sons, Chichester, England.

McCarthy, J.K.; Mokany, K.; Ferrier, S.; Dwyer, J.M., (2018). Predicting community rank‐abundance distributions under current and future climates. Ecograp., 41(9): 1572-1582 (11 pages).

McConnell, W.J., (2015). Land Change: The Merger of Land Cover and Land use Dynamics A2, in Wright, J.D., (Ed.),International Encyclopedia of the Social & Behavioral Sciences.Elsevier, Oxford.

Meador, M.R., (1996). Tennessee wetland resources, in: Fretwell, J.D.; Williams, J.S.; Redman, P.J.; comps., (Eds.), National water summary on wetland resources. : U.S. Geological Survey Water-Supply Paper 2425.

Mitsch, W.J.; Gosselink, J.G.; Zhang, L.; Anderson, C.J., (2009). Wetland ecosystems, Wiley Hoboken NJ.

Mojica, A., (2018). Population Boom: Middle Tennessee counties among fastest growing in state. Fox 17 News Nashville Web.

Montserud, R.A.; Leamans, R., (1992). Comparing global vegetation maps with kappa statistics. Ecol. Model., 62: 275-293 (19 pages).

National Aeronautics and Space Administration, (2017). Landsat User Guide, National Aeronautics and Space Administration, United States Geological Society.

National Aeronautics and Space Administration, (2018). Landsat 8 Science Data Users Handbook, National Aeronautics and Space Administration, United States Geological Society.

Pacheco, S.; Malizia, L.R.; Cayuela, L., (2010). Effects of Climate Change on Subtropical Forests of South America. Trop. Conserv. Sci., 3(4): 423-437 (15 pages).

Rawat, J.S.; Kumar, M., (2015). Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. Egypt. J. Remote Sen. Space Sci., 18(1): 77-84 (7 pages).

Schwaab, J.; Debb, K.; Goodman, E.; Lautenbach, S.; Strien, M.; Grêt-Regamey, A., (2017). Reducing the loss of agricultural productivity due to compact urban development in municipalities of Switzerland. Computers, Environ. and Urban Systs., 65:162-177 (15 pages).

Sellers, J.B., (2018). Nashville is one of the fastest growing U.S. cities, Crossville Chronicle, Tennessee.

United States Census Bureau, (1996). Population of States and Counties of the United States: 1790 to 1990, Population Division, U.S. Department of Commerce.

United States Census Bureau, (2018). Davidson County, Tennessee, U.S. Department of Commerce.

United States Climate Data, (2018). Climate Nashville – Tennessee, Your Weather Sevice-World Climate.

Wang, R.; Kalin, L., (2018). Combined and synergistic effects of climate change and urbanization on water quality in the Wolf Bay watershed, southern Alabama. J. of Environ. Sciences, 64: 107-121 (15 pages).

Xia, J.; Zhang, Y.; Xiong, L.; He, S.; Wang, L.; Yu, Z., (2017). Opportunities and challenges of the Sponge City construction related to urban water issues in China. Sci. China Earth Sci, 60(4): 652–658 (7 pages).

LETTERS TO EDITOR

International Journal of Human Capital in Urban Management (IJHCUM) welcomes letters to the editor for the post-publication discussions and corrections which allows debate post publication on its site, through the Letters to Editor. Letters pertaining to manuscript published in IJHCUM should be sent to the editorial office of IJHCUM within three months of either online publication or before printed publication, except for critiques of original research. Following points are to be considering before sending the letters (comments) to the editor.

[1] Letters that include statements of statistics, facts, research, or theories should include appropriate references, although more than three are discouraged.

[2] Letters that are personal attacks on an author rather than thoughtful criticism of the author’s ideas will not be considered for publication.

[3] Letters can be no more than 300 words in length.

[4] Letter writers should include a statement at the beginning of the letter stating that it is being submitted either for publication or not.

[5] Anonymous letters will not be considered.

[6] Letter writers must include their city and state of residence or work.

[7] Letters will be edited for clarity and length.

Name *

Email Address *

Affiliation *

Comments *

Security Code *

International Journal of Human Capital in Urban Management

Land cover land use mapping and change detection analysis using geographic information system and remote sensing

References

References

Send comment about this article

Volume 3, Issue 3 - Serial Number 11
July 2018
Pages 167-178

Land cover land use mapping and change detection analysis using geographic information system and remote sensing

References

References

Send comment about this article

Volume 3, Issue 3 - Serial Number 11July 2018Pages 167-178

Volume 3, Issue 3 - Serial Number 11
July 2018
Pages 167-178