Monitoring of Land use/ land cover changes of Daying Ering Wildlife Sanctuary, Arunachal Pradesh, India, using Remote Sensing and Geographic Information System
##plugins.themes.bootstrap3.article.main##
Yomto Mayi
Joanica Delicia Jyrwa
https://orcid.org/0000-0002-1861-0347
Santanu K Patnaik
https://orcid.org/0000-0002-1861-0347
Santanu K Patnaik
Abstract
The advent of geospatial technology plays a vital role in identifying environmental problems and provides solutions to good decision-making. In India, much of wildlife research and management occurs in protected areas. Therefore, it is imperative to study the landscape dynamics of such areas. The present study aimed to investigate the spatio-temporal of land use/land cover (LULC) changes that occurred in Daying Ering wildlife sanctuary, East Siang District, Arunachal Pradesh, for 10 years (2012-2022). The LULC were categorized into vegetation, water body, marsh, riverbed, and grassland. Supervised classification was used with the maximum likelihood algorithm in ERDAS 15.0 software. Post-assessment of the study area images revealed that there had been some major land changes whereby grassland has decreased by 25.10 %, an increase in the river bed (16.73%), and an increase in the water body (16.16%). The findings of the present study call for attention from researchers, environmentalists, policymakers, government officials and local villagers to study the consequences of LULC changes on vulnerable species and form mitigation/management measures accordingly.
##plugins.themes.bootstrap3.article.details##
##plugins.themes.bootstrap3.article.details##
Keywords
Daying Ering Wildlife Sanctuary , Eastern Himalayas , Land use/cover, Protected area, Remote sensing
References
Aditya, S. K. & Reghunath, R. (2016). Analysis of Land Cover Change in Shendurney Wildlife Sanctuary, Western Ghats, India using Remote Sensing and GIS. Emergent Life Sciences Research, 2, 39-42.
Annayat, W., Ashwini, K. & Sil, B. S. (2022). Monitoring Land Use and Land Cover Analysis of the Barak Basin Using Geospatial Techniques. In Anthropogeomorp hology (pp. 427- 441). Springer, Cham.
Balasubramanian, D., Arunachalam, K. & Arunachalam, A. (2016). Human-induced land use/land-cover change and bioresource management in Bura Chapori Wildlife Sanctuary in North-East India. Climate Change Environment &. Sustainability 4(1), 28-37. https://doi.org/10.5958/2320-642X.2016.00005.3
Behera, M. D., Borate, S. N., Panda, S. N., Behera, P. R. & Roy, P. S. (2012). Modelling and analyzing the watershed dynamics using Cellular Automata (CA)–Markov model–A Geo-information based approach. Journal of earth system science, 121(4), 1011-1024. https://doi.org/10.1007/s12040-012-0207-5
Bilyaminu, H., Radhakrishnan, P., Vidyasagaran, K. & Srinivasan, K. (2021). Monitoring Land Use and Land Cover Change of Forest Ecosystems of Shendurney Wildlife Sanctuary, Western Ghats, India. Asian Journal of Environment and Ecology, 15(4), 20-27. https://doi.org/10.9734/AJEE/2021/v15i430 234
Census (2011). Primary Census Abstracts, Registrar General of India, Ministry of Home Affairs, Government of India.
Chakraborty, R., Chakraborty, P., Borah, J. & Mize, T. (2014). Mammals of D’Ering Wildlife Sanctuary: A baseline survey report. WWF-India report.
Champion, H. G. & Seth, S. K. (1968). A revised survey of the forest types of India. Manager of publications.
Lo, C.P. & Choi, J. (2004). A hybrid approach to urban land use/cover mapping Using ‘ Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images. International Journal of Remote Sensing, 25. 2687-2700. https://doi.org/10.1080/0143 1160310001618428
Deka, J., Tripathi, O. P., Khan, M. L. & Srivastava, V. K. (2019). Study on land-use and land- cover change dynamics in Eastern Arunachal Pradesh, NE India using remote sensing and GIS. Tropical Ecology, 60(2), 199-208. https://doi.org/1 0.1007/s42965-019-00022-3
Dodum, A. (2016). Eco-tourism in Arunachal Pradesh: an appraisement of East Siang district. International Journal of Research in Social Sciences, 6(5), 360-375.
Giri, C., Pengra, B., Zhu, Z., Singh, A. & Tieszen, L. L. (2007). Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000. Estuarine, Coastal and Shelf Science, 73(1-2), 91-100. https://doi.org/10.1016/j.ecss.2006.12.019
Houghton, R.A., House, J.I., Pongratz, J., van der Werf, G.R., DeFries, R.S., Hansen, M.C., Le Quere, C. & Ramankutty, N. (2012). Carbon emissions from land use and land- cover change. Biogeosciences 9, 5125–5142. https://doi.org/10.5 194/bg-9-5125-2012
Jyrwa, J. D., Joshi, B. D., Ghosh, A., Mayi, Y., Nipa, M., Anga, N., Pali, M., Thakur, M., Chandra, K. & Sharma, L. K. (2020). Dimensions of changing perception towards wildlife conservation in East Siang district of Arunachal Pradesh, Eastern Himalayas. Global Ecology and Conservation, 24, e01265. https://doi.org/10.1016/j.gecco.2020.e01265
Kachhwaha, T.S. (1985). Temporal monitoring of forest land for change detection and forest cover mapping through satellite remote sensing. In: Proceedings of the 6th Asian Conference on Remote Sensing. National Remote Sensing Agency, Hyderabad, Page 77– 83.
Kumari, M., Das, A., Sharma, R. & Saikia, S. (2014). Change detection analysis using multi Temporal satellite data of Poba reserve forest, Assam and Arunachal Pradesh. International Journal of Geomatics and Geosciences, 4(3), 517.
Lodhi, M. S., Samal, P. K., Chaudhry, S., Palni, L. M. S. & Dhyani, P. P. (2014). Land cover mapping for Namdapha National Park (Arunachal Pradesh), India using harmonized
land cover legends. Journal of the Indian Society of Remote Sensing, 42(2), 461-467. https://doi.org/10.1007/s12524-013-0326-8
Mahato, R., Bushi, D., Nimasow, G., Nimasow, O. D. & Joshi, R. C. (2022). AHP and GIS- based Delineation of Groundwater Potential of Papum Pare District of Arunachal Pradesh, India. Journal of the Geological Society of India, 98(1), 102-112. https://doi.org/10.1007/s12594-022-1936-y
Mutanga, C. N., Vengesayi, S., Muboko, N. & Gandiwa, E. (2015). Towards harmonious conservation relationships: A framework for understanding protected area staff-local community relationships in developing countries. Journal for Nature Conservation, 25, 8-16. https://doi.org/10.1016/j.jnc.201 5.02.006
NMHS Report. (2020). Retrieved from: https://nmhs.org.in/pdf/Progress_Reports/Annual_Report_2020/Project/1 4.Dr.Ka ilash_Chandra/Annexure%201.II_%20NMHS_Annual_Pr ogress_Report_(APR)_2019-20.pdf
Pielke Sr, 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
Posti, R. & Baruah, D. (2020). Geospatial analysis of fishery resources in west Kameng District of Arunachal Pradesh. Message, 131. https://doi.org/10.5958/2349-4433.2020.00094.X
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. The Egyptian Journal of Remote Sensing and Space Science, 18(1), 77-84. https://doi.org/10.1016/j.ejrs.2015.0 2.002
Ritse, V., Basumatary, H., Kulnu, A. S., Dutta, G., Phukan, M. M. & Hazarika, N. (2020). Monitoring land use land cover changes in the Eastern Himalayan landscape of Nagaland, Northeast India. Environmental Monitoring and Assessment, 192(11), 1-17. https://doi.org/10.1007/s1066 1-020-08674-8
Shiferaw, A. & Singh, K. L. (2011). Evaluating the land use and land cover dynamics in Borena Woreda South Wollo Highlands, Ethiopia. Ethiopian Journal of Business and Economics (The), 2(1).
Shimrah, T., Lungleng, P., Devi, A. R., Sarma, K., Varah, F. & Khuman, Y. S. (2022). Spatio-temporal Assessment on land use and land cover (LULC) and forest fragmentation in shifting Agroecosystem landscape in Ukhrul district of Manipur, Northeast India. Environmental Monitoring and Assessment, 194(1), 1-13. https://doi.org/10.1007/s10661-021-09548-3
The Wire (2018). Retrieved from: https://science.thewire.in/environment/china-issues-flood-alert-to-India-over-rising-water-level-in-siang-river/Weng, Q. (2010). A remote sensing? GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International journal of remote sensing, 22(10), 1999-2014.https://doi.org/10.108 0/71386 0788
Yuan, Y., Zhao, T., Wang, W., Chen, S. & Wu, F. (2013). Projection of the spatially explicit land use/cover changes in China, 2010–2100. Advances in Meteorology, 2013. https://doi.org/10.1155/2013/908307
Yin, J., Yin, Z., Zhong, H., Xu, S., Hu, X., Wang, J. & Wu, J. (2011). Monitoring urban expansion and land use/land cover changes of Shanghai metropolitan area during the transitional economy (1979–2009) in China. Environ. Monit. Assess. 177 (1–4), 609– 621. https://doi.org/10.1 007/s10661-010-1660-8.
Annayat, W., Ashwini, K. & Sil, B. S. (2022). Monitoring Land Use and Land Cover Analysis of the Barak Basin Using Geospatial Techniques. In Anthropogeomorp hology (pp. 427- 441). Springer, Cham.
Balasubramanian, D., Arunachalam, K. & Arunachalam, A. (2016). Human-induced land use/land-cover change and bioresource management in Bura Chapori Wildlife Sanctuary in North-East India. Climate Change Environment &. Sustainability 4(1), 28-37. https://doi.org/10.5958/2320-642X.2016.00005.3
Behera, M. D., Borate, S. N., Panda, S. N., Behera, P. R. & Roy, P. S. (2012). Modelling and analyzing the watershed dynamics using Cellular Automata (CA)–Markov model–A Geo-information based approach. Journal of earth system science, 121(4), 1011-1024. https://doi.org/10.1007/s12040-012-0207-5
Bilyaminu, H., Radhakrishnan, P., Vidyasagaran, K. & Srinivasan, K. (2021). Monitoring Land Use and Land Cover Change of Forest Ecosystems of Shendurney Wildlife Sanctuary, Western Ghats, India. Asian Journal of Environment and Ecology, 15(4), 20-27. https://doi.org/10.9734/AJEE/2021/v15i430 234
Census (2011). Primary Census Abstracts, Registrar General of India, Ministry of Home Affairs, Government of India.
Chakraborty, R., Chakraborty, P., Borah, J. & Mize, T. (2014). Mammals of D’Ering Wildlife Sanctuary: A baseline survey report. WWF-India report.
Champion, H. G. & Seth, S. K. (1968). A revised survey of the forest types of India. Manager of publications.
Lo, C.P. & Choi, J. (2004). A hybrid approach to urban land use/cover mapping Using ‘ Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images. International Journal of Remote Sensing, 25. 2687-2700. https://doi.org/10.1080/0143 1160310001618428
Deka, J., Tripathi, O. P., Khan, M. L. & Srivastava, V. K. (2019). Study on land-use and land- cover change dynamics in Eastern Arunachal Pradesh, NE India using remote sensing and GIS. Tropical Ecology, 60(2), 199-208. https://doi.org/1 0.1007/s42965-019-00022-3
Dodum, A. (2016). Eco-tourism in Arunachal Pradesh: an appraisement of East Siang district. International Journal of Research in Social Sciences, 6(5), 360-375.
Giri, C., Pengra, B., Zhu, Z., Singh, A. & Tieszen, L. L. (2007). Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000. Estuarine, Coastal and Shelf Science, 73(1-2), 91-100. https://doi.org/10.1016/j.ecss.2006.12.019
Houghton, R.A., House, J.I., Pongratz, J., van der Werf, G.R., DeFries, R.S., Hansen, M.C., Le Quere, C. & Ramankutty, N. (2012). Carbon emissions from land use and land- cover change. Biogeosciences 9, 5125–5142. https://doi.org/10.5 194/bg-9-5125-2012
Jyrwa, J. D., Joshi, B. D., Ghosh, A., Mayi, Y., Nipa, M., Anga, N., Pali, M., Thakur, M., Chandra, K. & Sharma, L. K. (2020). Dimensions of changing perception towards wildlife conservation in East Siang district of Arunachal Pradesh, Eastern Himalayas. Global Ecology and Conservation, 24, e01265. https://doi.org/10.1016/j.gecco.2020.e01265
Kachhwaha, T.S. (1985). Temporal monitoring of forest land for change detection and forest cover mapping through satellite remote sensing. In: Proceedings of the 6th Asian Conference on Remote Sensing. National Remote Sensing Agency, Hyderabad, Page 77– 83.
Kumari, M., Das, A., Sharma, R. & Saikia, S. (2014). Change detection analysis using multi Temporal satellite data of Poba reserve forest, Assam and Arunachal Pradesh. International Journal of Geomatics and Geosciences, 4(3), 517.
Lodhi, M. S., Samal, P. K., Chaudhry, S., Palni, L. M. S. & Dhyani, P. P. (2014). Land cover mapping for Namdapha National Park (Arunachal Pradesh), India using harmonized
land cover legends. Journal of the Indian Society of Remote Sensing, 42(2), 461-467. https://doi.org/10.1007/s12524-013-0326-8
Mahato, R., Bushi, D., Nimasow, G., Nimasow, O. D. & Joshi, R. C. (2022). AHP and GIS- based Delineation of Groundwater Potential of Papum Pare District of Arunachal Pradesh, India. Journal of the Geological Society of India, 98(1), 102-112. https://doi.org/10.1007/s12594-022-1936-y
Mutanga, C. N., Vengesayi, S., Muboko, N. & Gandiwa, E. (2015). Towards harmonious conservation relationships: A framework for understanding protected area staff-local community relationships in developing countries. Journal for Nature Conservation, 25, 8-16. https://doi.org/10.1016/j.jnc.201 5.02.006
NMHS Report. (2020). Retrieved from: https://nmhs.org.in/pdf/Progress_Reports/Annual_Report_2020/Project/1 4.Dr.Ka ilash_Chandra/Annexure%201.II_%20NMHS_Annual_Pr ogress_Report_(APR)_2019-20.pdf
Pielke Sr, 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
Posti, R. & Baruah, D. (2020). Geospatial analysis of fishery resources in west Kameng District of Arunachal Pradesh. Message, 131. https://doi.org/10.5958/2349-4433.2020.00094.X
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. The Egyptian Journal of Remote Sensing and Space Science, 18(1), 77-84. https://doi.org/10.1016/j.ejrs.2015.0 2.002
Ritse, V., Basumatary, H., Kulnu, A. S., Dutta, G., Phukan, M. M. & Hazarika, N. (2020). Monitoring land use land cover changes in the Eastern Himalayan landscape of Nagaland, Northeast India. Environmental Monitoring and Assessment, 192(11), 1-17. https://doi.org/10.1007/s1066 1-020-08674-8
Shiferaw, A. & Singh, K. L. (2011). Evaluating the land use and land cover dynamics in Borena Woreda South Wollo Highlands, Ethiopia. Ethiopian Journal of Business and Economics (The), 2(1).
Shimrah, T., Lungleng, P., Devi, A. R., Sarma, K., Varah, F. & Khuman, Y. S. (2022). Spatio-temporal Assessment on land use and land cover (LULC) and forest fragmentation in shifting Agroecosystem landscape in Ukhrul district of Manipur, Northeast India. Environmental Monitoring and Assessment, 194(1), 1-13. https://doi.org/10.1007/s10661-021-09548-3
The Wire (2018). Retrieved from: https://science.thewire.in/environment/china-issues-flood-alert-to-India-over-rising-water-level-in-siang-river/Weng, Q. (2010). A remote sensing? GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International journal of remote sensing, 22(10), 1999-2014.https://doi.org/10.108 0/71386 0788
Yuan, Y., Zhao, T., Wang, W., Chen, S. & Wu, F. (2013). Projection of the spatially explicit land use/cover changes in China, 2010–2100. Advances in Meteorology, 2013. https://doi.org/10.1155/2013/908307
Yin, J., Yin, Z., Zhong, H., Xu, S., Hu, X., Wang, J. & Wu, J. (2011). Monitoring urban expansion and land use/land cover changes of Shanghai metropolitan area during the transitional economy (1979–2009) in China. Environ. Monit. Assess. 177 (1–4), 609– 621. https://doi.org/10.1 007/s10661-010-1660-8.
Issue
Section
Research Articles
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This work is licensed under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) © Author (s)
How to Cite
Monitoring of Land use/ land cover changes of Daying Ering Wildlife Sanctuary, Arunachal Pradesh, India, using Remote Sensing and Geographic Information System . (2023). Journal of Applied and Natural Science, 15(2), 713-719. https://doi.org/10.31018/jans.v15i2.4602
