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p.198-211,fig.,ref.
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autor
- Department of Geography, Faculty of Arts and Culture, Eastern University, Chenkaladi, Sri Lanka
Bibliografia
- [1] Boyd, D. S., Foody, G. M., & Ripple, W. J. (2002). Evaluation of approaches for forest cover estimation in the Pacific Northwest, USA, using remote sensing. Applied Geography, 4(22), 375–392
- [2] Broich, M., Hansen, M. C., Potapov, P., Adusei, B., Lindquist, E., & Stehman, S. V. (2011). Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia. International Journal of Applied Earth Observation and Geoinformation, 13(2), 277–291. https://doi.org/10.1016/j.jag.2010.11.004
- [3] Coops, N. C., & Catling, P. C. (1997). Predicting the complexity of habitat in forests from airborne videography for wildlife management. International Journal of Remote Sensing, 18(12), 2677–2682. https://doi.org/10.1080/014311697217530
- [4] Department of Census and Statistics. (2012). Census of Population and Housing 2012. Ministry of Finance and Planning.
- [5] Dorren, L. K. A., Maier, B., & Seijmonsbergen, A. C. (2003). Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification. Forest Ecology and Management, 183(1), 31–46. https://doi.org/10.1016/S0378-1127(03)00113-0
- [6] Forkuo, E. K., & Frimpong, A. (2012). Analysis of Forest Cover Change Detection. International Journal of Remote Sensing Application, 2(4), 82–92.
- [7] Grainger, A. (2009). Controlling Tropical Deforestation. Earthscan. ISBN 1849710252, 9781849710251
- [8] Imbernon, J., & Branthomme, A. (2001). Characterization of landscape patterns of deforestation in tropical rain forests. International Journal of Remote Sensing, 22(9), 1753–1765. https://doi.org/10.1080/01431160118426
- [9] Karia, J. P., Porwal, M. C., Roy, P. S., & Sandhya, G. (2001). Forest change detection in Kalarani round, Vadodara, Gujarat— a Remote Sensing and GIS approach. Journal of the Indian Society of Remote Sensing, 29(3), 129. https://doi.org/10.1007/BF02989924
- [10] Kayet, N., & Pathak. (2015). Remote Sensing and GIS-Based Land use/Land cover Change Detection Mapping in Saranda Forest, Jharkhand, India. International Research Journal of Earth Sciences, 3(2321–2527), 1–6
- [11] Larsson, H. (2002). Acacia canopy cover changes in Rawashda forest reserve, Kassala Province, Eastern Sudan, using linear regression NDVI models. International Journal of Remote Sensing, 23(2), 335–339. https://doi.org/10.1080/01431160010014279
- [12] Luque, S. S. (2000). Evaluating temporal changes using Multi-Spectral Scanner and Thematic Mapper data on the landscape of a natural reserve: The New Jersey Pine Barrens, a case study. International Journal of Remote Sensing, 21(13–14), 2589–2610. https://doi.org/10.1080/01431160050110197
- [13] Mcleod, R. ., & Conglton, R. G. . (1998). A Quantitative Comparison of Change-Detection Algorithms for Monitoring Eelgrass from Remotely Sensed Data 172. Engineering and Remote Sensing, 64(3), 207–216
- [14] Mihai, B., Săvulescu, I., Rujoiu-Mare, M., & Nistor, C. (2017). Recent forest cover changes (2002–2015) in the Southern Carpathians: A case study of the Iezer Mountains, Romania. Science of The Total Environment, 599–600, 2166–2174. https://doi.org/10.1016/j.scitotenv.2017.04.226
- [15] O’Callaghan, J. (2012). Remote sensing: principles and interpretation. Journal Cartography, 11(4), 251–252. https://doi.org/10.1080/00690805.1980.10438124
- [16] Panigrahy, R. K., Kale, M. P., Dutta, U., Mishra, A., & Banerjee, B. (2010). Forest Cover Change Detection of Western Ghats of Maharashtra using Satellite Remote Sensing based Visual Interpretation Technique. Current Science, 98(5), 657–664
- [17] Reis, S., & Yomralioglu, T. (2006). Detection of current and potential hazelnut plantation areas in Tabzon, North East Turkey using GIS and RS. Journal of Environmental Biology, 27(4), 653–659
- [18] Roy, P. S., & Joshi, P. . (2010). Forest cover assessment in north-east India--the potential of temporal wide swath satellite sensor data (IRS-1C WiFS): International Journal of Remote Sensing. International Journal of Remote Sensing, 23(23), 4881–4896. https://doi.org/10.1080/01431160110114475
- [19] Sadeghi, M., Malekian, M., & Khodakarami, L. (2017). Forest losses and gains in Kurdistan province, western Iran: Where do we stand? The Egyptian Journal of Remote Sensing and Space Science, 20(1), 51–59. https://doi.org/10.1016/j.ejrs.2016.07.001
- [20] Sajjad, A., Hussain, A., Wahab, U., Adnan, S., Ali, S., Ahmad, Z., & Ali, A. (2015). Application of Remote Sensing and GIS in Forest Cover Change in Tehsil Barawal, District Dir, Pakistan. American Journal of Plant Sciences, 06, 1501. https://doi.org/10.4236/ajps.2015.69149
- [21] Sakthivel, R., Manivel, M., Raj, N. J., Pugalanthi, V., Ravichandran, N., & Anand, V. D. (2010). Remote sensing and GIS based forest cover change detection study in Kalrayan hills, Tamil Nadu. Journal of Environmental Biology, 31(5), 737–747
- [22] Singh, A. (1989). Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10, 989–1003
- [23] Unni, M. N. V, Roy, P. ., & Parthtasarathy, V. (1985). Evaluation of LANDSAT and airborne multispectral data and aerial photographs for mapping forest features and phenomena in a part of the Godavari basin: International Journal of Remote Sensing: Vol 6, No 3-4. International Journal of Remote Sensing, 6(3–4), 419–431. https://doi.org/10.1080/01431168508948464
- [24] Yismaw, A. (2014). Forest Cover Change Detection Using Remote Sensing and GIS in Banja District, Amhara Region, Ethiopia. International Journal of Environmental Monitoring and Analysis, 2(6), 354. https://doi.org/10.11648/j.ijema.20140206.19
- [25] Yismaw, A., Gedif, B., Addisu, S., & Zewudu, F. (2014). Forest Cover Change Detection Using Remote Sensing and GIS in Banja District, Amhara Region, Ethiopia. International Journal of Environmental Monitoring and Analysis, 2(6), 354. https://doi.org/10.11648/j.ijema.20140206.19
- [26] Young, S. S., & Wang, C. Y. (2001). Land-cover change analysis of China using global-scale Pathfinder AVHRR Landcover (PAL) data, 1982?92. International Journal of Remote Sensing, 22(8), 1457–1477. https://doi.org/10.1080/01431160116787
- [27] Yu, X. (2007). Methods and techniques for forest change detection and growth estimation using airborne laser scanning data. Geodeettinen Laitos, Kirkkonummi.
- [28] Zimble, D. A., Evans, D. L., Carlson, G. C., Parker, R. C., Grado, S. C., & Gerard, P. D. (2003). Characterizing vertical forest structure using small-footprint airborne LiDAR. Remote Sensing of Environment, 87(2), 171–182. https://doi.org/10.1016/S0034-4257(03)00139-1
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-41c338c9-8354-4503-b4aa-eccd664f3def