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Monitoring Changes in Coastal Mangrove Extents Using Multi-Temporal Satellite Data in Selected Communes, Hai Phong City, Vietnam
Corresponding Author(s) : Hai-Hoa Nguyen
Forest and Society,
Vol. 4 No. 1 (2020): APRIL
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- Congedo, L. (2020). Semi-Automatic Classification Plugin documentation. Release 6.4.0.2. 243p.
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References
Alongi, D. M. (2015). The impact of climate change on mangrove forests. Current Climate Change Reports, 1(1), 30-39. doi: https://doi.org/10.1007/s40641-015-0002-x.
Anh, N. N., & Hai-Hoa, N. (2017). Evaluating policy effectiveness on coastal mangrove management: case study in Kien Thuy and Do Son districts, Hai Phong city. Journal of Forestry Science and Technology, 2, 43- 54.
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), 239-250.
Armitage, D. (2002). Socio-institutional dynamics and the political ecology of mangrove forest conservation in Central Sulawesi, Indonesia. Global Environmental Change, 12(3), 203-217. doi: https://doi.org/10.1016/S0959-3780(02)00023-7.
Asokan, P. K. (2012). Mangroves and its importance to Fisheries. ISO 690.
Bao, T.Q., & Hoa, L. S. (2018). Using Sentinel satellite image to estimate biomass of mangrove forest in Vinh Quang commune, Tien Lang district, Hai Phong city. Journal of Forestry Science and Technology, 5, 71- 79.
Basyuni, M., Bimantara, Y., Siagian, M., Wati, R., Slamet, B., Sulistiyono, N., ... & Leidonad, R. (2018, March). Developing community-based mangrove management through eco-tourism in North Sumatra, Indonesia. In IOP Conference Series: Earth and Environmental Science (Vol. 126, No. 1, p. 012109). IOP Publishing. doi: https://doi.org/10.1088/1755-1315/126/1/012109
Bhandari, A. K., Kumar, A., & Singh, G. K. (2012). Feature extraction using Normalised Difference Vegetation Index (NDVI): A case study of Jabalpur city. Procedia Technology, 6, 612- 621.
Castillo, J. A. A., Apan, A. A., Maraseni, T. N., & Salmo, S. G. (2017). Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 134, 70-85. https://doi.org/10.1016/j.isprsjprs.2017.10.016
Chu, T. H. (2006). Environment and livelihoods in tropical coastal zones: Managing agriculture-fishery-aquaculture conflicts (Vol. 2). CABI.
Cissell, J. R., Delgado, A. M., Sweetman, B. M., & Steinberg, M. K. (2018). Monitoring mangrove forest dynamics in Campeche, Mexico, using Landsat satellite data. Remote Sensing Applications: Society and Environment, 9, 60-68. doi: https://doi.org/10.1016/j.rsase.2017.12.001.
Conchedda, G., Durieux, L., & Mayaux, P. (2008). An object-based method for mappng and change analysis in mangrove ecosystem. ISPRS Journal of Photogrammetry and Remote Sensing, 63, 578- 589. doi: https://doi.org/10.1016/j.isprsjprs.2008.04.002
Congedo, L. (2020). Semi-Automatic Classification Plugin documentation. Release 6.4.0.2. 243p.
Dan, T. T., Chen, C. F., Chiang, S. H., & Ogawa, S. (2016). Mapping and change analysis in mangrove forest by using Landsat imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Science, 8, 109- 116.
Dalezios, N. R., Gobin, A., Tarquis, A. M., & Eslamian, S. (2017). Agricultural drought indices: Combining crop, climate and soil factors in Handbook of Drought and Water Scarcity: Principles of Drought and Water Scarcity. CRC Press, Taylor and Francis Group.
Dat, P. T., & Yoshino, K. (2013). Comparing mangrove forest management in Hai Phong City, Vietnam towards sustainable aquaculture. Procedia Environmental Sciences, 17, 109-118. doi: https://doi.org/10.1016/j.proenv.2013.02.018
Dat, P.T., & Yoshino, K. (2011). Monitoring mangrove forest using multi-temporal satellite data in the Northern Coast of Vietnam. In the 32nd Asian Conf. on Remote Sensing.
Dat. P.T., & Yoshino, K. (2015). Mangrove mapping and change detection using multi-temporal Landsat imagery in Hai Phong City, Vietnam. In Int. Symp. on Cartography in Internet and Ubiquitous Environments.
Dat, P. T., & Yoshino, K. (2016). Impacts of mangrove management systems on mangrove changes in the Northern coast of Vietnam. Tropics, 24, 141- 151.
Datta, D., Chattopadhyay, R. N., & Guha, P. (2012). Community- based mangrove management: A review on status and sustainability. J Environ. Manage, 107, 84- 95.
Fensholt, R., Rasmussen, K., Nielsen, T. T., & Mbow, C. (2009). Evaluation of earth observation based on long-term vegetation trends—Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS, and SPOT VGT data. Remote Sensing of Environment, 113(9), 1886-1898. doi: https://doi.org/10.1016/j.rse.2009.04.004.
Field, C., Osborn, J., Hoffman, L., Polsenberg, J., Ackerly, D., Berry, J., & Mooney, H. (1998). Mangrove biodiversity and ecosystem function. Global Ecology & Biogeography Letters, 7(1), 3-14. doi: https://doi.org/10.2307/2997693.
Gilman, E. L., Ellison, J., Duke, N. C., & Field, C. (2008). Threats to mangroves from climate change and adaptation options: a review. Aquatic Botany, 89(2), 237-250. doi: https://doi.org/10.1016/j.aquabot.2007.12.009
Giri, C. (2016). Observation and monitoring of mangrove forests using remote sensing: Opportunities and challenges. doi: https://doi.org/10.3390/rs8090783.
Giri, C., Ochieng, E., Tieszen, L. L., Zhu, Z., Singh, A., Loveland, T., & Duke, N. (2011). Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography, 20(1), 154-159. doi: https://doi.org/10.1111/j.1466-8238.2010.00584.x
Giri, C., Zhu, Z., Tieszen, L. L., Singh, A., Gillette, S., & Kelmelis, J. A. (2008). Mangrove forest distributions and dynamics (1975–2005) of the tsunami‐affected region of Asia. Journal of Biogeography, 35(3), 519-528. https://doi.org/10.1111/j.1365-2699.2007.01806.x
Green, E. P., Clark, C. D., Mumby, P. J., Edwards, A. J., & Ellis, A. C. (1998). Remote sensing techniques for mangrove mapping. International journal of remote sensing, 19(5), 935-956. doi: https://doi.org/10.1080/014311698215801.
Godoy, M. D. P., & Lacerda, L. D. D. (2015). Mangrove response to climate change: A review of recent findings on mangronve extension and distribution. Annals of the Brazilian Academy of Sciences, 87, 651- 667.
Hai- Hoa, N. (2016). Using landsat imagery and vegetation indices differencing to detect mangrove change: a case in Thai Thuy district, Thai Binh province.
Hai-Hoa, N., McAlpine, C., Pullar, D., Johansen, K., & Duke, N. C. (2013). The relationship of spatial-temporal changes in fringe mangrove extent and adjacent land-use: a Case study of Kien Giang coast, Vietnam. Ocean & coastal management, 76, 12-22. doi: https://doi.org/10.1016/j.ocecoaman.2013.01.003.
Hanifah, A., & Addiwan, A. (2018). Community-based mangrove forest management action in Rangsang region, district of Kepulauan Meranti, Riau. MOJ Ecology and Environmental Sciences, 3, 339- 347.
Hashim, H., Latif, Z. A., & Adnan, N. A. (2019). Urban vegetation classification with NDVI threshold value method with very high resolution (VHR) Pleiades imagery. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information System. 6th International Conference on Geomatics and Geospatial Technology. Kuala Lumpur, Malaysia.
Hawkins, S., Robertson, S., Thu Thuy, P., Xuan To, P., McNally, R., Van Cuong, C., & Duc Tu, N. (2010). Roots in the water: legal frameworks for mangrove PES in Vietnam.
Hogarth, P. J. (2015). The biology of mangroves and seagrasses. Oxford University Press. doi: https://doi.org/10.1093/acprof:oso/9780198716549.001.0001
Hong, P. N., & San, H. T. (1993). Mangroves of Vietnam (Vol 7). IUCN.
Hu, L., Li, W., & Xu, B. (2018). The role of remote sensing on studying mangrove forest extent change. International Journal of Remote Sensing, 1-23. doi: https://doi.org/10.1080/01431161.2018.1455239 .
Hu, Q., Wu, W., Xia, T., Yu, Q., Yang, P., Li, Z., & Song, Q. (2013). Exploring the use of Google Earth imagery and object-based methods in land use/cover mapping. Remote Sensing, 5(11), 6026-6042. doi: https://doi.org/10.3390/rs5116026.
Ibrahim, N. A., Mustapha, M. A., Lihan, T., & Ghaffar, M. A. (2013). Determination of mangrove change in Matang mangrove forest using multi-temporal satellite imageries. AIP. Proc, 1571, 487- 492. https://doi.org/10.1063/1.4858702
Jhaveri, N. J., Petrova, S., Sommerville, M., Van Hue, L. T., & Ngoc Huy. N. (2017). Red River Delta Coastal Spatial Planning and Mangrove Governance Assessment. Washington, DC: USAID Tenure and Global Climate Change Program.
Kongkeaw, C., Kittitornkool, J., Vandergeest, P., & Kittiwatanawong, K. (2019). Explaining success in community based mangrove management: four coastal communities along the Andaman Sea, Thailand. Ocean and Coastal Management. doi: https://doi.org/10.1016/j.ocecoaman.2019.104822
Kuenzer, C., Bluemel, A., Gebhardt, S., Quoc, T. V., & Dech, S. (2011). Remote sensing of mangrove ecosystems: A review. Remote Sensing, 3(5), 878-928. https://doi.org/10.3390/rs3050878.
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