DOI: https://doi.org/10.14710/geoplanning.10.1.1-10

Temporal Analysis of Land Use and Land Cover Changes in Vizianagaram District, Andhra Pradesh, India using Remote Sensing and GIS Techniques

Yenda Padmini  -  Dept of Geosciences, Dr. B.R. Ambedkar University, Srikakulam, India-532410, India
M Sreenivasa Rao  -  Department of Geology, Andhra University, Visakhapatnam-530003, India, India
*Gara Rao Raja  -  Department of Geology, Andhra University, Visakhapatnam-530003, India, India

Citation Format:
Abstract

Land use and land cover change (LULCC) has become a significant global concern due to its wide-ranging environmental, social and economic impacts. This literature review aims to provide a comprehensive overview of the key ideas, drivers, consequences and approaches to studying LULCC. By synthesizing various research articles, this review offers insights into the causes and impacts of LULCC, as well as the methods used to analyze and monitor these changes. The review also highlights the importance of understanding LULCC dynamics for sustainable land management and policy making. Between 2017 and 2022, the LULC categories underwent several changes. Data acquisition process for satellite imagery combining Sentinel-2 digital remote sensing data digital remote sensing data through the Copernicus Open Access Hub. The spectral resolution is 10, 20, and 30 meters respectively, while the spatial resolution is 10 meters which was used for the LULC analysis of the study area. This analysis underscores the importance of LULCC monitoring to inform sustainable land management practices and conservation efforts. The trends identified provide a basis for further investigation into the underlying drivers of these changes and their potential impacts on ecosystems, water resources and human well-being. Continued monitoring and proactive measures are essential to mitigate adverse impacts and promote sustainable land use in the future.

Fulltext View|Download
Keywords: Landuse, Landcover, Remote Sensing, GIS, Change Detection and Vegetation

Article Metrics:

Article Info
Section: Original Research
Language : EN
Recent articles
An Application of Cellular Automata (CA) and Markov Chain (MC) Model in Urban Growth Prediction: A case of Surat City, Gujarat, India Spatio-temporal Dynamics of Land Use and Land Cover in the Alibori Basin in Northern Benin Republic (West Africa) Impact Deforestation on Land Surface Temperature: A Case Study Highland Kundasang, Sabah More recent articles
Most cited articles
Evaluation of MODIS-Derived LST Products with Air Temperature Measurements in Cyprus EVALUASI CITRA WORLDVIEW-2 UNTUK PENDUGAAN KEDALAMAN PERAIRAN DANGKAL PULAU KELAPA-HARAPAN MENGGUNAKAN ALGORITMA RASIO BAND ASSESSMENT OF MANGROVE FOREST DEGRADATION THROUGH CANOPY FRACTIONAL COVER IN KARIMUNJAWA ISLAND, CENTRAL JAVA, INDONESIA QUALITY ANALYSIS OF SINGLE TREE OBJECT WITH OBIA AND VEGETATION INDEX FROM LAPAN SURVEILLANCE AIRCRAFT MULTISPECTRAL DATA IN URBAN AREA SLUM REVITALIZING PLAN OF BAGHDADIYAH BY SPATIAL RE-MODELING CONFIGURATION More cited articles

  1. Abd El-Kawy, O. R., Rød, J. K., Ismail, H. A., & Suliman, A. S. (2011). Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data. Applied Geography, 31(2), 483–494.

  2. Aneesha Satya, B., Shashi, M., & Deva, P. (2020). Future land use land cover scenario simulation using open source GIS for the city of Warangal, Telangana, India. Applied Geomatics, 12, 281–290.

  3. Areendran, G., Rao, P., Raj, K., Mazumdar, S., & Puri, K. (2013). Land use/land cover change dynamics analysis in mining areas of Singrauli district in Madhya Pradesh, India. Tropical Ecology, 54(2).

  4. Arévalo, P., Bullock, E. L., Woodcock, C. E., & Olofsson, P. (2020). A suite of tools for continuous land change monitoring in google earth engine. Frontiers in Climate, 2, 576740.

  5. Ayele, G. T., Tebeje, A. K., Demissie, S. S., Belete, M. A., Jemberrie, M. A., Teshome, W. M., Mengistu, D. T., & Teshale, E. Z. (2018). Time series land cover mapping and change detection analysis using geographic information system and remote sensing, Northern Ethiopia. Air, Soil and Water Research, 11, 1178622117751603.

  6. Boori, M. S., & Voženílek, V. (2014). Geophysics & Remote Sensing Remote Sensing and Land Use / Land Cover Trajectories. 3(3), 1–7. https://doi.org/10.4172/2169-0049.1000123">[Crossref]

  7. Butt, A., Shabbir, R., Ahmad, S. S., & Aziz, N. (2015). Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan. The Egyptian Journal of Remote Sensing and Space Science, 18(2), 251–259.

  8. Buyadi, S. N. A., Mohd, W., & Misni, A. (2014). Impact of vegetation growth on urban surface temperature distribution. IOP Conference Series: Earth and Environmental Science, 18(1), 12104.

  9. Cihlar, J., & Jansen, L. J. M. (2001). From land cover to land use: a methodology for efficient land use mapping over large areas. The Professional Geographer, 53(2), 275–289.

  10. Civco, D. L., Hurd, J. D., Wilson, E. H., Song, M., & Zhang, Z. (2002). A comparison of land use and land cover change detection methods. ASPRS-ACSM Annual Conference, 21, 18–33.

  11. Division, G., & Road, K. (2013). Effect of Geology and Geomorphology on Landuse / Landcover in Himalayan Foothill , Dehradun. 81(June), 827–834.

  12. Erener, A., Düzgün, S., & Yalciner, A. C. (2012). Evaluating land use/cover change with temporal satellite data and information systems. Procedia Technology, 1, 385–389.

  13. Fahad, K. H., Hussein, S., & Dibs, H. (2020). Spatial-temporal analysis of land use and land cover change detection using remote sensing and GIS techniques. IOP Conference Series: Materials Science and Engineering, 671(1), 12046.

  14. Falcucci, A., & Maiorano, Æ. L. (2007). Changes in land-use / land-cover patterns in Italy and their implications for biodiversity conservation. 617–631. https://doi.org/10.1007/s10980-006-9056-4">[Crossref]

  15. Gandhi, G. M., Parthiban, B. S., Thummalu, N., & Christy, A. (2015). Ndvi: Vegetation change detection using remote sensing and gis--A case study of Vellore District. Procedia Computer Science, 57, 1199–1210.

  16. Hegazy, I. R., & Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117–124. https://doi.org/10.1016/j.ijsbe.2015.02.005">[Crossref]

  17. Jaiswal, R. K., Saxena, R., & Mukherjee, S. (1999). Application of remote sensing technology for land use/land cover change analysis. Journal of the Indian Society of Remote Sensing, 27, 123–128.

  18. Jiang, J., & Tian, G. (2010). Analysis of the impact of land use/land cover change on land surface temperature with remote sensing. Procedia Environmental Sciences, 2, 571–575.

  19. Kandrika, S., & Roy, P. S. (2008). Land use land cover classification of Orissa using multi-temporal IRS-P6 awifs data: A decision tree approach. International Journal of Applied Earth Observation and Geoinformation, 10(2), 186–193. https://doi.org/https:/doi.org/10.1016/j.jag.2007.10.003">[Crossref]

  20. Keerthi, N., & Nehru, T. J. (n.d.). Urban expansion impact on agriculture: A case study on Hyderabad, India. 15031.

  21. Krishna, P. V., & Reddy, M. A. (2017). Original Research Paper Environmental Science LAND USE AND LAND COVER MAPPING BY USING GEOSPATIAL TECHNIQUES – A CASE STUDY OF YELDURTHY MANDAL , MEDAK Reddy. I(12), 396–398.

  22. Kudnar, N. S., & Rajasekhar, M. (2019). A study of the morphometric analysis and cycle of erosion in Waingangā Basin, India. Modeling Earth Systems and Environment, 6(1), 311–327. https://doi.org/10.1007/s40808-019-00680-1">[Crossref]

  23. Langat, P. K., Kumar, L., Koech, R., & Ghosh, M. K. (2021). Monitoring of land use/land-cover dynamics using remote sensing: A case of Tana River Basin, Kenya. Geocarto International, 36(13), 1470–1488.

  24. Malaviya, S., Munsi, M., Oinam, G., & Kumar, P. (2010). Landscape approach for quantifying land use land cover change ( 1972 – 2006 ) and habitat diversity in a mining area in Central India ( Bokaro , Jharkhand ). 215–229. https://doi.org/10.1007/s10661-009-1227-8">[Crossref]

  25. Mishra, P. K., Rai, A., & Rai, S. C. (2020). Land use and land cover change detection using geospatial techniques in the Sikkim Himalaya, India. The Egyptian Journal of Remote Sensing and Space Science, 23(2), 133–143.

  26. Munahar, S., Purnomo, B. C., Ferdiansyah, N., Widodo, E. M., & Aman, M. (2022). Indonesian Journal of Science & Technology Risk-Based Leak Analysis of an LPG Storage Tank : A Case Study. 7(1), 37–64.

  27. Park, J., & Lee, J. (2016). Detection of landuse/landcover changes using remotely-sensed data. Journal of Forestry Research, 27, 1343–1350.

  28. Pattanaik, C., Reddy, C. S., & Reddy, P. M. (2011). Assessment of spatial and temporal dynamics of tropical forest cover: A case study in Malkangiri district of Orissa, India. Journal of Geographical Sciences, 21, 176–192.

  29. Perea-Ardila, M. A., Leal-Villamil, J., & Oviedo-Barrero, F. (2022). Spectral characterization and monitoring of mangrove forests with remote sensing in the Colombian pacific coast: Bajo BaudÓ, ChocÓ. Granja, 34(2), 26–42. https://doi.org/10.17163/LGR.N34.2021.02">[Crossref]

  30. Poyatos, R., Latron, J., & Llorens, P. (2003). Land use and land cover change after agricultural abandonment. Mountain Research and Development, 23(4), 362–368.

  31. Pradesh, A. (2018). Landuse and Landcover Analysis using Remote Sensing and GIS : A Case Study in Parts of Kadapa District ,. 9(3), 1–7.

  32. Rajasekhar, M, Raju, G. S., Raju, R. S., & Basha, U. I. (2018). Data in Brief Data on arti fi cial recharge sites identi fi ed by geospatial tools in semi-arid region of Anantapur District , Andhra Pradesh , India. Data in Brief, 19, 1–13. https://doi.org/10.1016/j.dib.2018.04.050">[Crossref]

  33. Rajasekhar, M, Sudarsana Raju, G., Imran Basha, U., Siddi Raju, R., Pradeep Kumar, B., & Ramachandra, M. (2019). Identification of suitable sites for artificial groundwater recharge structures in semi-arid region of Anantapur District: AHP approach. Hydrospatial Analysis, 3(1), 1–11.

  34. Rajasekhar, M, Sudarsana Raju, G., & Siddi Raju, R. (2019). Assessment of groundwater potential zones in parts of the semi-arid region of Anantapur District, Andhra Pradesh, India using GIS and AHP approach. Modeling Earth Systems and Environment, 5, 1303–1317.

  35. Rajasekhar, Madiga, Gadhiraju, S. R., Kadam, A., & Bhagat, V. (2020). Identification of groundwater recharge-based potential rainwater harvesting sites for sustainable development of a semiarid region of southern India using geospatial, AHP, and SCS-CN approach. Arabian Journal of Geosciences, 13, 1–19.

  36.  

  37. Rajasekhar, N. S. K. M. (2019). A study of the morphometric analysis and cycle of erosion in Waingangā Basin , India. Modeling Earth Systems and Environment, 2004. https://doi.org/10.1007/s40808-019-00680-1">[Crossref]

  38. Reddy, K. R., Devaraj, S., Biradar, S., Yarrakula, K., & Kumar, K. S. (2019). Spatial distribution of land use/land cover analysis in Hanamkonda taluk, Telangana-A case study.

  39. Schmid, J. N. (2017). Using Google Earth Engine for Landsat NDVI time series analysis to indicate the present status of forest stands. Georg-August-Universität Göttingen: Basel, Switzerland.

  40. Scroll, P., & For, D. (n.d.). International Journal of Mapping , monitoring and conservation of Harike wetland ecosystem , Punjab , India , through remote sensing. July 2013, 37–41. https://doi.org/10.1080/014311601750038866">[Crossref]

  41. Sethi, R. R., SagarSahu, A., Srivastava, R. C., Das, M., Kumar, A., & Tripathy, J. K. (2014). Monitoring land cover changes in coastal tract of Odisha using landsat ETM+ imagery. Current World Environment, 9(2), 430–436. https://doi.org/10.12944/CWE.9.2.26">[Crossref]

  42. Shalaby, A., & Tateishi, R. (2007). Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Applied Geography, 27(1), 28–41.

  43. Siddi Raju, R., Sudarsana Raju, G., & Rajasekhar, M. (2018). Estimation of rainfall runoff using SCS-CN method with RS and GIS techniques for Mandavi Basin in YSR Kadapa District of Andhra Pradesh, India. Hydrospatial Anal, 2(1), 1–15.

  44. Singh, D. K., Reddy, D. M. A., & B, N. K. (2019). Remote Sensing and Gis Based Land Use and Land Cover Information of Medchal Mandalof Medchal District. International Journal of Engineering and Advanced Technology, 9(2), 4682–4685. https://doi.org/10.35940/ijeat.b5127.129219">[Crossref]

  45. Srivastava, R., Singh, S., & Oran, A. (2020). Changes in Vegetation Cover Using GIS and Remote Sensing: A Case Study of South Campus BHU, Mirzapur, India. Journal of Scientific Research, 64(02), 135–141. https://doi.org/10.37398/jsr.2020.640219">[Crossref]

  46. Sudhakar, S., Srinivas, T., Palit, A., Kar, S. K., & Battacharya, S. K. (2006). Mapping of risk prone areas of kala-azar (Visceral leishmaniasis) in parts of Bihar state, India: An RS and GIS approach. Journal of Vector Borne Diseases, 43(3), 115–122.

  47. Suneela, T., & Mamatha, G. (2016). Detection of land use and land cover changes using remote sensing and geographical information system (GIS) techniques. Electron. Int. JInt. J. Electr. Electr., 4(12).

  48. Treitz, P., & Rogan, J. (2004). Remote sensing for mapping and monitoring land-cover and land-use change-an introduction. Progress in Planning, 61(4), 269–279.[Crossref]

  49. Wolch, J. R., Byrne, J., & Newell, J. P. (2014). Landscape and Urban Planning Urban green space , public health , and environmental justice : The challenge of making cities ‘ just green enough .’ Landscape and Urban Planning, 125, 234–244. https://doi.org/10.1016/j.landurbplan.2014.01.017">[Crossref]

  50. Yadav, P. K., Kapoor, M., & Sarma, K. (2012). Land Use Land Cover Mapping, Change Detection and Conflict Analysis of Nagzira-Navegaon Corridor, Central India Using Geospatial Technology. International Journal of Remote Sensing and GIS, 1(2), 90–98. www.rpublishing.org

  51. Yang, X., & Lo, C. P. (2002). Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. International Journal of Remote Sensing, 23(9), 1775–1798. https://doi.org/10.1080/01431160110075802">[Crossref]


Last update:

No citation recorded.

Last update: 2024-11-20 14:53:06

No citation recorded.