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Mangrove Vegetation Health Assessment Based on Remote Sensing Indices for Tanjung Piai, Malay Peninsular


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Barau, A. S. (2017). Tension in the periphery: An analysis of spatial, public and corporate views on landscape change in Iskandar Malaysia, Landsc. Urban Plan., vol. 165, pp. 256–266.10.1016/j.landurbplan.2016.04.007Search in Google Scholar

Crist, E. P. & R. C. Cicone (1984). A Physically-Based Transformation of Thematic Mapper Data---The TM Tasseled Cap, IEEE Trans. Geosci. Remote Sens., vol. GE-22, no. 3, pp. 256–263.10.1109/TGRS.1984.350619Search in Google Scholar

De Sherbinin, A., D., Carr S. Cassels, and L. Jiang (2007). Population and environment, Annu Rev Env. Resour., vol. 32, pp. 345–373.10.1146/annurev.energy.32.041306.100243Search in Google Scholar

Drigo, R., Lasserre, B. and M. Marchetti (2009). Patterns and trends in tropical forest cover,” Plant Biosyst. - An Int. J. Deal. with all Asp. Plant Biol., vol. 143, no. 2, pp. 311–327, Jul.10.1080/11263500902722618Search in Google Scholar

Gobron, N., Pinty, B., Verstraete, M. M. and J. Widlowski (2000). Advanced Vegetation Indices Optimized for Applications, Contract, vol. 38, no. 6, pp. 2489–2505.10.1109/36.885197Search in Google Scholar

Heenkenda, M. K., Joyce, K. E., Maier, S. W. and S. De Bruin (2015). ISPRS Journal of Photogrammetry and Remote Sensing Quantifying mangrove chlorophyll from high spatial resolution imagery, ISPRS J. Photogramm. Remote Sens., vol. 108, pp. 234–244.10.1016/j.isprsjprs.2015.08.003Search in Google Scholar

Heenkenda, M., Maier, S. and K. Joyce (2016). Estimating Mangrove Biophysical Variables Using WorldView-2 Satellite Data: Rapid Creek, Northern Territory, Australia, J. Imaging, vol. 2, no. 3, p. 24.10.3390/jimaging2030024Search in Google Scholar

Hmimina, G., Dufrêne, E., Pontailler, J.-Y., Delpierre, N., Aubinet, M., Caquet, B., de Grandcourt, A., Burban, B., Flechard, C., Granier, A., Gross, P., Heinesch, B., Longdoz, B., Moureaux, C., Ourcival, J.-M., Rambal, S., Saint André, L. and K. Soudani (2013). Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements, Remote Sens. Environ., vol. 132, pp. 145–158, May.10.1016/j.rse.2013.01.010Search in Google Scholar

Hossain, M. D. & A. A. Nuruddin (2016). Soil and Mangrove: A Review, J. Environ. Sci. Technol., vol. 9, no. 2, pp. 198–207, Feb.10.3923/jest.2016.198.207Search in Google Scholar

Huang, C., Wylie, B., Yang, L., Homer, C. and G. Zylstra (2002). Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance, Int. J. Remote Sens., vol. 23, no. 8, pp. 1741–1748.10.1080/01431160110106113Search in Google Scholar

Jon Davies, N. Y., Mathhew U., Aikanathan, S., Chong, Ch. and G. Chong (2010). A Quick Scan of Peatlands in Malaysia, no. March, p. 86.Search in Google Scholar

Juliana, W. A., Wan, M., Razali, S. and A. Latiff (2014). Mangrove Ecosystems of Asia, Mangrove Ecosyst. Asia, pp. 199–211.Search in Google Scholar

Kamal, M., Phinn, S., Johansen, K. and N. S. Adi (2016). Estimation of mangrove leaf area index from ALOS AVNIR-2 data (A comparison of tropical and sub-tropical mangroves), AIP Conf. Proc., vol. 1755.10.1063/1.4958480Search in Google Scholar

Kanniah, K. D., Sheikhi, A., Cracknell, A. P., Goh, H. C., Tan, K. P., Ho, C. S. and F. N. Rasli (2015). Satellite images for monitoring mangrove cover changes in a fast growing economic region in southern Peninsular Malaysia, Remote Sens., vol. 7, no. 11, pp. 14360–14385.10.3390/rs71114360Search in Google Scholar

Kauth, R. J. & G. S. Thomas (1976). The tasseled cap-A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat, in The Symposium on Machine Processing of Remotely Sensed Data, p. 4B–41–4B–50.Search in Google Scholar

Kongwongjan, J., Suwanprasit, C. and P. Thongchumnum (2012). Comparison of vegetation indices for mangrove mapping using THEOS data, Proc. Asia-Pacific Adv. Netw., vol. 33, no. Mlc, pp. 56–64.10.7125/APAN.33.6Search in Google Scholar

Kovacs, J. M., Wang, J. and F. Flores-Verdugo (2005). Mapping mangrove leaf area index at the species level using IKONOS and LAI-2000 sensors for the Agua Brava Lagoon, Mexican Pacific, Estuar. Coast. Shelf Sci., vol. 62, no. 1–2, pp. 377–384.10.1016/j.ecss.2004.09.027Search in Google Scholar

Lewis, R. R., Milbrandt, E. C., Brown, B., Krauss, K. W., Rovai, A. S., Beever, J. W. and L. L. Flynn (2015). Stress in mangrove forests: Early detection and preemptive rehabilitation are essential for future successful worldwide mangrove forest management, Mar. Pollut. Bull.10.1016/j.marpolbul.2016.03.006Search in Google Scholar

Luo, Z., Sun, O. J., Wang, E., Ren, H. and H. Xu (2010). Modeling Productivity in Mangrove Forests as Impacted by Effective Soil Water Availability and Its Sensitivity to Climate Change Using Biome-BGC, Ecosystems, vol. 13, no. 7, pp. 949–965, Aug.10.1007/s10021-010-9365-ySearch in Google Scholar

Motamedi, S., Hashim, R., Zakaria, R., Song, K. Il and B. Sofawi (2014). Long-term assessment of an innovative mangrove rehabilitation project: Case study on Carey Island, Malaysia, Sci. World J., vol. 2014.10.1155/2014/953830410926225097894Search in Google Scholar

RAMSAR, (2003). Malaysia names three new Ramsar sites in Johor State. Retrieved September 8, 2003, from https://www.ramsar.org/news/malaysia-names-three-new-ramsar-sites-in-johor-state.Search in Google Scholar

Rouse, J. W., Haas, R. H., Schell, J. A. and D. W. Deering (1974). Monitoring vegetation systems in the Great Plains with ERTS, in Proceedings of the Third Earth Resource Technology Satellite-1 Symposium (pp. 3010–3017).Search in Google Scholar

Sánchez-Azofeifa, G. A., Castro, K. L., Rivard, B., Kalascka, M. R. and R. C. Harriss (2003). Remote Sensing Research Priorities in Tropical Dry Forest Environments1, Biotropica, vol. 35, no. 2, p. 134.10.1646/02072Search in Google Scholar

Satyanarayana, B., Mohamad, K. A., Idris, I. F., Husain, M. L. and F. Dahdouh-Guebas (2011). Assessment of mangrove vegetation based on remote sensing and ground-truth measurements at Tumpat, Kelantan Delta, East Coast of Peninsular Malaysia, Int. J. Remote Sens., vol. 32, no. 6, pp. 1635–1650.10.1080/01431160903586781Search in Google Scholar

Serina, R. (2017). Trends in Southeast Asia: Johor’s Forest City faces critical challenges, no. 3. Singapore: ISEAS Publishing.Search in Google Scholar

Shah, K., Mustafa Kamal, A. H., Rosli, Z., Hakeem, K. R. and M. M. Hoque (2016). Composition and diversity of plants in Sibuti mangrove forest, Sarawak, Malaysia, Forest Sci. Technol., vol. 12, no. 2, pp. 70–76.10.1080/21580103.2015.1057619Search in Google Scholar

Slik, J. W. F. & K. a O. Eichhorn (2003). Fire survival of lowland tropical rain forest trees in relation to stem diameter and topographic position., Oecologia, vol. 137, no. 3, pp. 446–55, Nov.10.1007/s00442-003-1359-412920641Search in Google Scholar

Smith, A. M. S, Kolden, C. a., Tinkham, W. T., Talhelm, A. F., Marshall, J. D., Hudak, A. T., Boschetti, L., Falkowski, M. J., Greenberg, J. a., Anderson, J. W., Kliskey, A., Alessa, L., Keefe, R. F. and J. R. Gosz (2014). Remote sensing the vulnerability of vegetation in natural terrestrial ecosystems, Remote Sens. Environ., vol. 154, pp. 322–337, Jun.10.1016/j.rse.2014.03.038Search in Google Scholar

Yang, X., Wang, F., Bento, C. P. M., Meng, L., van Dam, R., Mol, H., Liu, G., Ritsema, C. J. and V. Geissen (2015). Decay characteristics and erosion-related transport of glyphosate in Chinese loess soil under field conditions, Sci. Total Environ., vol. 530–531, pp. 87–95.10.1016/j.scitotenv.2015.05.08226026412Search in Google Scholar

Yarbrough, L. D., Navulur, K. and R. Ravi (2014). Presentation of the Kauth–Thomas transform for WorldView-2 reflectance data, Remote Sens. Lett., vol. 5, no. 2, pp. 131–138.10.1080/2150704X.2014.885148Search in Google Scholar

Zhang, J. & Y. Zhang (2007). Remote sensing research issues of the National Land Use Change Program of China, ISPRS J. Photogramm. Remote Sens., vol. 62, no. 6, pp. 461–472, Dec.10.1016/j.isprsjprs.2007.07.002Search in Google Scholar

Zhang, Q., Xiao, X., Braswell, B., Linder, E., Baret, F. and B. Mooreiii (2005). Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model, Remote Sens. Environ., vol. 99, no. 3, pp. 357–371, Nov.10.1016/j.rse.2005.09.009Search in Google Scholar

eISSN:
1805-4196
Language:
English
Publication timeframe:
3 times per year
Journal Subjects:
Geosciences, other, Life Sciences, Ecology