Geospatial Applications in Land Use/Land Cover Change Detection for Sustainable Regional Development: The Case of Central Haryana, India

Surender Kumar; Ripudaman Singh

doi:10.7494/geom.2021.15.3.81

Geomatics and Environmental Engineering, vol. 15, no. 3

Issue

Vol. 15 No. 3 (2021): Geomatics and Environmental Engineering

Issue Published : Jun 2, 2021

Date Log

Submitted

Jan 27, 2021

Accepted

Mar 15, 2021

Published

Apr 27, 2021

This work is licensed under a Creative Commons Attribution 4.0 International License.

Geospatial Applications in Land Use/Land Cover Change Detection for Sustainable Regional Development: The Case of Central Haryana, India

https://doi.org/10.7494/geom.2021.15.3.81

Surender Kumar

Research Scholar, Lovely Professional University, Punjab, India

Ripudaman Singh

Lovely Professional University, School of Humanities, Department of Geography, Punjab, India

https://orcid.org/0000-0001-5141-7760

Corresponding Author(s) : Ripudaman Singh

ripudaman.17178@lpu.co.in

Geomatics and Environmental Engineering, Vol. 15 No. 3 (2021): Geomatics and Environmental Engineering
Article Published : Apr 27, 2021

Abstract

Timely and accurate detection of land use/land cover (LULC) change is important for the macro and micro level sustainable development of any region. For this purpose, geospatial techniques are the best tool for change analysis as they supply timely, cheaper, precise and up to date information. This paper examines the spatial temporal change trend in LULC in the case of Central Haryana. Landsat 2, 3, 5, 7 and 8 images for the years 1975‑2020 for pre‑ and post‑monsoon periods were analyzed for the study. Radiometric correction was performed to derive better information. ArcGIS 10.2 and ENVI 5.3 are used for thematic layout and thematic change preparation. An unsupervised classification using ERDAS IMAGINE 2015 has also been done to classify study area in eight classes. The year 1975 is considered as the base year for change detection analysis. Results showed an increasing trend for the land use classes of built‑up, water body, and agricultural land without waterlogging in the pre‑ and post‑monsoon periods between 1975 and 2020. Remaining land use classes of agriculture with waterlogging, open waterlogged area, vegetation and fallow land/sand dunes decreased during the same period. Increased human activities have changed the LULC in the region and have had a great impact on its sustainable regional development.

Keywords

geospatial India land use/land cover RS-GIS sustainable regional development thematic change

Kumar, S., & Singh, R. (2021). Geospatial Applications in Land Use/Land Cover Change Detection for Sustainable Regional Development: The Case of Central Haryana, India. Geomatics and Environmental Engineering, 15(3), 81–98. https://doi.org/10.7494/geom.2021.15.3.81

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References

Burley T.M.: Land use or land utilization? Professional Geographer, vol. 13, no. 6, 1961, pp. 18–20. https://doi.org/10.1111/j.0033-0124.1961.136_18.x.
Lo C.P.: Applied Remote Sensing, Geocarto International, vol. 60, issue 4, 1986, p. 60. https://doi.org/10.1080/10106048609354071.
Chamling M., Bera B.: Spatio‑temporal patterns of land use/land cover change in the Bhutan‑Bengal foothill region between 1987 and 2019: study towards geospatial applications and policy making. Earth Systems and Environment, vol. 4, 2020, pp. 117–130. https://doi.org/10.1007/s41748-020-00150-0.
Taloor A.K., Singh K.V.: Land use land cover dynamics using remote sens- ing and GIS techniques in Western Doon Valley, Uttarakhand, India. [in:] Sah‑ dev S., Singh R.B., Kumar M. (eds.), Geology of Landscape Dynamics, Advances in Geographical and Environmental Science, Springer, 2020, pp. 37–51. https://doi.org/10.1007/978-981-15-2097-6_4.
Stow D.A., Collins D., McKinsey D.: Land use change detection based on multi date imagery from different satellite sensor system. Geocarto International, vol. 5, no. 3, 1990, pp. 3–12. https://doi.org/10.1080/10106049009354263.
Ehelrs M., Jadkowaski M.A., Howard R.R., Brostuen D.E.: Application of SPOT data for regional growth analysis and local planning. Photogrammetric Engineering and Remote Sensing, vol. 58, 1990, pp. 175–180.
Agarwal C., Green G.M., Grove J.M., Evans T.P., Schweik C.M.: A review and assessment of land use change model: dynamics of space, time and human choice. General Technical Report (GTR), U.S. Department of Agriculture, Forest Service, Northeastern Research Station, 2002. https://doi.org/10.2737/NE-GTR-297.
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Saadat H., Adamowski J., Bonnell R., Sharif F., Namdar M., Ale-Ebrahim S.: Land use and land cover classification over a large area in the Iran based on single data analysis of satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 66, no. 5, 2011, pp. 608–619. https://doi.org/10.1016/j.isprsjprs.2011.04.001.
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Lv Z., Liu T., Wan Y., Benediktsson J.A., Zhang X.: Post‑processing approach for refining raw land cover change detection of very high‑resolution remote sensing images. Remote Sensing, vol. 10, no. 3, 2018, pp. 2–19. https://doi.org/10.3390/rs10030472.
Geist H.J., Lambin E.F.: What drivers tropical deforestation? A meta‑analysis of proximate and underlying cause of deforestation based on sub national case study evidence. LULC Report Series, no. 4, AGRIS, 2001.
Prakash A., Gupta R.P.: Land use mapping and change detection in a coal mining area – a case study in the Jharia coalfield, India. International Journal of Remote Sensing, vol. 19, issue 3, 1998, pp. 391–410. https://doi.org/10.1080/014311698216053.
Chaudhary B.S., Saroha G.P., Yadav M.: Human Induced Land Use/Land Cover Changes in Northern Part of Gurgaon District, Haryana, India: Natural Resources Census Concept. Journal of Human Ecology, vol. 23, no. 3, 2008, pp. 243–252. https://doi.org/10.1080/09709274.2008.11906077.
Kumar S.: Remote Sensing and Gis Based Groundwater Prospects and Quality Assessment in Fatehabad District, Haryana. i-Manager’s Journal on Future Engineering and Technology, vol. 14, no. 1, 2018, pp. 48–54. https://doi.org/10.26634/jfet.14.1.15255.
Nathalia D., Kumar K.E.M., Kishore N., Krishnan G.: Environmental change detection using geo‑spatial techniques in Aravalli hills and environs (Faridabad District, Haryana). International Journal of Applied Environmental Sciences, vol. 12, no. 5, 2017, pp. 865–875.
Xiuwan C.: Using remote sensing and GIS to analyze land cover change and its impacts on regional sustainable development. International Journal of Remote Sensing, vol. 23, no. 1, 2002, pp. 107–124. http://doi.org/10.1080/01431160010007051.
Mahiny A.S., Clarke K.C.: Guiding SLEUTH land use/land cover change modeling using multi criteria evaluation: towards dynamics sustainable land use planning. Environment and Planning B: Planning and Design, vol. 39, no. 5, 2012, pp. 925–944. https://doi.org/10.1068/b37092.
Singh A.: Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, vol. 10, pp. 989–1003. https://doi.org/10.1080/01431168908903939.
Lambin E.F.: Change detection at multiple scales: Seasonal and annual variations in landscape variables. Photogrammetric Engineering and Remote Sensing, vol. 62, no. 8, 1996, pp. 931–938. http://www.asprs.org/wp-content/uploads/pers/1996journal/aug/1996_aug_931-938.pdf [access: 15.12.2020].
Xiuwan C.: Using remote sensing and GIS to analyze land cover change and its impacts on regional sustainable development. International Journal of Remote Sensing, vol. 23, no. 1, 2002, pp. 107–124. https://doi.org/10.1080/01431160010007051.
Dewan A.M., Yamaguchi Y.: Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Ap‑ plied Geography, vol. 29, no. 3, 2009, pp. 390–401. https://doi.org/10.1016/j.apgeog.2008.12.005.
Central Groundwater Board: Ground Water Year Book. Ministry of Water Resources, River Development and Ganga Rejuvenation, Government of India, 2014‑15.
Landsat Missions: Bulk Metadata Service, Landsat Collection 2. https://www.usgs.gov/core-science-systems/nli/landsat/bulk-metadata-service [access: 15.04.2020].
Tech‑Tutor with Fitsum: how to do radiometric correction, Fix Landsat 7 Scan Line Error using Landsat Toolbox in ArcMap. https://www.youtube.com/user/fitsalem [access: 20.04.2020].
Government of Haryana: Statistical Abstract of Haryana, 2019. Department of Economic and Statistical Analysis, Government of Haryana, Panchkula 2020.
Singh R. (ed.): Re‑envisioning Remote Sensing Applications: Perspectives from Developing Countries. CRC Press, Boca Raton 2021. https://doi.org/10.1201/9781003049210.
Maan G.S., Aakanksha, Wasay S., Singh R.: A Comparison of Pixel Based and Object Based Image Analysis with Machine Learning Algorithms for Land Use/Land Cover Classification. Our Heritage, vol. 67, no. 4, 2019, pp. 286–294.

References

Burley T.M.: Land use or land utilization? Professional Geographer, vol. 13, no. 6, 1961, pp. 18–20. https://doi.org/10.1111/j.0033-0124.1961.136_18.x.

Lo C.P.: Applied Remote Sensing, Geocarto International, vol. 60, issue 4, 1986, p. 60. https://doi.org/10.1080/10106048609354071.

Chamling M., Bera B.: Spatio‑temporal patterns of land use/land cover change in the Bhutan‑Bengal foothill region between 1987 and 2019: study towards geospatial applications and policy making. Earth Systems and Environment, vol. 4, 2020, pp. 117–130. https://doi.org/10.1007/s41748-020-00150-0.

Taloor A.K., Singh K.V.: Land use land cover dynamics using remote sens- ing and GIS techniques in Western Doon Valley, Uttarakhand, India. [in:] Sah‑ dev S., Singh R.B., Kumar M. (eds.), Geology of Landscape Dynamics, Advances in Geographical and Environmental Science, Springer, 2020, pp. 37–51. https://doi.org/10.1007/978-981-15-2097-6_4.

Stow D.A., Collins D., McKinsey D.: Land use change detection based on multi date imagery from different satellite sensor system. Geocarto International, vol. 5, no. 3, 1990, pp. 3–12. https://doi.org/10.1080/10106049009354263.

Ehelrs M., Jadkowaski M.A., Howard R.R., Brostuen D.E.: Application of SPOT data for regional growth analysis and local planning. Photogrammetric Engineering and Remote Sensing, vol. 58, 1990, pp. 175–180.

Agarwal C., Green G.M., Grove J.M., Evans T.P., Schweik C.M.: A review and assessment of land use change model: dynamics of space, time and human choice. General Technical Report (GTR), U.S. Department of Agriculture, Forest Service, Northeastern Research Station, 2002. https://doi.org/10.2737/NE-GTR-297.

Jasrotia A.S., Bhagat B.D., Kumar A., Kumar R.: Remote Sensing and GIS approach for delineation of groundwater potential and groundwater quality zones of Western Doon Valley, Uttrakhand, India. Journal of the Indian Society of Remote Sensing, vol. 41, no. 2, 2013, pp. 365–377. https://doi.org/10.1007/s12524-012-0220-9.

Xiong J., Thenkabail P.S., Gumma M.K., Teluguntla P., Poehnelt J., Congal‑ ton R.G., Yadav K., Thau D.: Automated cropland mapping of continental Africa using Google Earth Engine cloud computing. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 126, 2017, pp. 225–244. https://doi.org/10.1016/j.isprsjprs.2017.01.019.

Noor A.M., Alegana V.A., Gething P.W., Tatem A.J., Snow R.W.: Using remotely sensed night time light as a proxy for poverty in Africa. Population Health Metrics, vol. 6, no. 1, 2008, art. no. 5. https://doi.org/10.1186/1478-7954-6-5.

William E.R., William B.M., Turner B.L.: Modeling land use and land cover as part of global environment change. Climate Change, vol. 28, no. 1, 2002, pp. 45–64. https://doi.org/10.1007/BF01094100.

Saadat H., Adamowski J., Bonnell R., Sharif F., Namdar M., Ale-Ebrahim S.: Land use and land cover classification over a large area in the Iran based on single data analysis of satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 66, no. 5, 2011, pp. 608–619. https://doi.org/10.1016/j.isprsjprs.2011.04.001.

Lambin F.E., Geist J.H., Lepers E.: Dynamics of land use and land cover change in Tropical Regions. Annual Review of Environment and Resources, vol. 28, 2003, pp. 205–241. https://doi.org/10.1146/annurev.energy.28.050302.105459. [14] Jia K., Wei X., Gu X., Yo Y., Xie X., Li B.: Land cover classification using Landsat 8

Operational Land Imager data in Beijing, China. Geocarto International, vol. 29, no. 8, 2014, pp. 941–951. https://doi.org/10.1080/10106049.2014.894586.

Lv Z., Liu T., Wan Y., Benediktsson J.A., Zhang X.: Post‑processing approach for refining raw land cover change detection of very high‑resolution remote sensing images. Remote Sensing, vol. 10, no. 3, 2018, pp. 2–19. https://doi.org/10.3390/rs10030472.

Geist H.J., Lambin E.F.: What drivers tropical deforestation? A meta‑analysis of proximate and underlying cause of deforestation based on sub national case study evidence. LULC Report Series, no. 4, AGRIS, 2001.

Prakash A., Gupta R.P.: Land use mapping and change detection in a coal mining area – a case study in the Jharia coalfield, India. International Journal of Remote Sensing, vol. 19, issue 3, 1998, pp. 391–410. https://doi.org/10.1080/014311698216053.

Chaudhary B.S., Saroha G.P., Yadav M.: Human Induced Land Use/Land Cover Changes in Northern Part of Gurgaon District, Haryana, India: Natural Resources Census Concept. Journal of Human Ecology, vol. 23, no. 3, 2008, pp. 243–252. https://doi.org/10.1080/09709274.2008.11906077.

Kumar S.: Remote Sensing and Gis Based Groundwater Prospects and Quality Assessment in Fatehabad District, Haryana. i-Manager’s Journal on Future Engineering and Technology, vol. 14, no. 1, 2018, pp. 48–54. https://doi.org/10.26634/jfet.14.1.15255.

Nathalia D., Kumar K.E.M., Kishore N., Krishnan G.: Environmental change detection using geo‑spatial techniques in Aravalli hills and environs (Faridabad District, Haryana). International Journal of Applied Environmental Sciences, vol. 12, no. 5, 2017, pp. 865–875.

Xiuwan C.: Using remote sensing and GIS to analyze land cover change and its impacts on regional sustainable development. International Journal of Remote Sensing, vol. 23, no. 1, 2002, pp. 107–124. http://doi.org/10.1080/01431160010007051.

Mahiny A.S., Clarke K.C.: Guiding SLEUTH land use/land cover change modeling using multi criteria evaluation: towards dynamics sustainable land use planning. Environment and Planning B: Planning and Design, vol. 39, no. 5, 2012, pp. 925–944. https://doi.org/10.1068/b37092.

Singh A.: Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, vol. 10, pp. 989–1003. https://doi.org/10.1080/01431168908903939.

Lambin E.F.: Change detection at multiple scales: Seasonal and annual variations in landscape variables. Photogrammetric Engineering and Remote Sensing, vol. 62, no. 8, 1996, pp. 931–938. http://www.asprs.org/wp-content/uploads/pers/1996journal/aug/1996_aug_931-938.pdf [access: 15.12.2020].

Dewan A.M., Yamaguchi Y.: Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Ap‑ plied Geography, vol. 29, no. 3, 2009, pp. 390–401. https://doi.org/10.1016/j.apgeog.2008.12.005.

Central Groundwater Board: Ground Water Year Book. Ministry of Water Resources, River Development and Ganga Rejuvenation, Government of India, 2014‑15.

Landsat Missions: Bulk Metadata Service, Landsat Collection 2. https://www.usgs.gov/core-science-systems/nli/landsat/bulk-metadata-service [access: 15.04.2020].

Tech‑Tutor with Fitsum: how to do radiometric correction, Fix Landsat 7 Scan Line Error using Landsat Toolbox in ArcMap. https://www.youtube.com/user/fitsalem [access: 20.04.2020].

Government of Haryana: Statistical Abstract of Haryana, 2019. Department of Economic and Statistical Analysis, Government of Haryana, Panchkula 2020.

Singh R. (ed.): Re‑envisioning Remote Sensing Applications: Perspectives from Developing Countries. CRC Press, Boca Raton 2021. https://doi.org/10.1201/9781003049210.

Maan G.S., Aakanksha, Wasay S., Singh R.: A Comparison of Pixel Based and Object Based Image Analysis with Machine Learning Algorithms for Land Use/Land Cover Classification. Our Heritage, vol. 67, no. 4, 2019, pp. 286–294.

Issue

Vol. 15 No. 3 (2021): Geomatics and Environmental Engineering

Date Log

Geospatial Applications in Land Use/Land Cover Change Detection for Sustainable Regional Development: The Case of Central Haryana, India

Corresponding Author(s) : Ripudaman Singh

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