Share This Article:

RETRACTED:Remote Sensing Techniques for Accurate and Consistent Detection of Small-Scale Changes in a Tropical Forest: Exploring Details of Forest Cover Dynamics Using Multi-Temporal Landat Imagery

Abstract Full-Text HTML Download Download as PDF (Size:3245KB) PP. 583-596
DOI: 10.4236/nr.2015.612056    3,399 Downloads   4,083 Views  

ABSTRACT

Short Retraction Notice

This article has been retracted according to COPE's Retraction Guidelines.The authors requested withdrawal from journal Natural Resources due to institutional publication policy of some of the authors. The Editorial Board would like to extend its sincere apologies for any inconvenience this retraction may have caused.

The full retraction notice in PDF is preceding the original paper, which is marked "RETRACTED".

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

  

References

[1] Foley, J.A., DeFries, R., Asner, G.P., Barford, C., Bonan, G., Carpenter, S.R., Chapin, F.S., Coe, M.T., Daily, G.C. and Gibbs, H.K. (2005) Global Consequences of Land Use. Science, 309, 570-574.
http://dx.doi.org/10.1126/science.1111772
[2] Geist, H.J. and Lambin, E.F. (2002) Proximate Causes and Underlying Driving Forces of Tropical Deforestation Tropical Forests are Disappearing as the Result of Many Pressures, Both Local and Regional, Acting in Various Combinations in Different Geographical Locations. BioScience, 52, 143-150.
http://dx.doi.org/10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2
[3] Lambin, E.F. and Meyfroidt, P. (2011) Global Land Use Change, Economic Globalization, and the Looming Land Scarcity. Proceedings of the National Academy of Sciences, 108, 3465-3472.
http://dx.doi.org/10.1073/pnas.1100480108
[4] Gibbs, H.K., Ruesch, A., Achard, F., Clayton, M., Holmgren, P., Ramankutty, N. and Foley, J. (2010) Tropical Forests Were the Primary Sources of New Agricultural Land in the 1980s and 1990s. Proceedings of the National Academy of Sciences, 107, 16732-16737.
http://dx.doi.org/10.1073/pnas.0910275107
[5] Tadesse, W.G., Demel, T., Denich, M. and Borsch, T. (2001) Diversity of Traditional Coffee Production Systems in Ethiopia and Their Contribution for the Conservation of Coffee Genetic Diversity. In: Tropentag, D., Ed., Conference on International Agricultural Research for Development, Bonn.
[6] Nyssen, J., Poesen, J., Moeyersons, J., Deckers, J., Haile, M. and Lang, A. (2004) Human Impact on the Environment in the Ethiopian and Eritrean highlands—A State of the Art. Earth-Science Reviews, 64, 273-320.
http://dx.doi.org/10.1016/S0012-8252(03)00078-3
[7] Fisher, B. (2010) African Exception to Drivers of Deforestation. Nature Geoscience, 3, 375-376.
http://dx.doi.org/10.1038/ngeo873
[8] Joseph, S., Herold, M., Sunderlin, W.D. and Verchot, L.V. (2013) REDD+ Readiness: Early Insights on Monitoring, Reporting and Verification Systems of Project Developers. Environmental Research Letters, 8, 034038.
http://dx.doi.org/10.1088/1748-9326/8/3/034038
[9] Achard, F., Beuchle, R., Mayaux, P., Stibig, H.-J., Bodart, C., Brink, A., Carboni, S., Desclée, B., Donnay, F., Eva, H.D., et al. (2014) Determination of Tropical Deforestation Rates and Related Carbon Losses from 1990 to 2010. Global Change Biology, 20, 2540-2554.
http://dx.doi.org/10.1111/gcb.12605
[10] Madhurima, C. and Banerjee, A. (2013) Forest Degradation and Livelihood of Local Communities in India: A Human Rights Approach. Journal of Horticulture and Forestry, 5, 122-129.
[11] Demessie, A., Singh, B.R. and Lal, R. (2015) Land Degradation and Soil Carbon Pool in Different Land Uses and Their Implication for Food Security in Southern Ethiopia. In: Sustainable Intensification to Advance Food Security and Enhance Climate Resilience in Africa, Springer, Berlin, 45-62.
[12] Squires, G.D. (2002) Urban Sprawl and the Uneven Development of Metropolitan America. In: Squires, G.D., Ed., Urban Sprawl: Causes, Consequences and Policy Responses, The Urban Institute Press, Washington DC.
[13] Whittle, M., Quegan, S., Uryu, Y., Stüewe, M. and Yulianto, K. (2012) Detection of Tropical Deforestation Using ALOS-PALSAR: A Sumatran Case Study. Remote Sensing of Environment, 124, 83-98.
http://dx.doi.org/10.1016/j.rse.2012.04.027
[14] United States Geological Survey (2012) Landsat Data Archive, Multiple Dates.
http://glovis.usgs.gov
[15] Evangelidis, K., Ntouros, K., Makridis, S. and Papatheodorou, C. (2014) Geospatial Services in the Cloud. Computers & Geosciences, 63, 116-122.
http://dx.doi.org/10.1016/j.cageo.2013.10.007
[16] Wulder, M.A., Masek, J.G., Cohen, W.B., Loveland, T.R. and Woodcock, C.E. (2012) Opening the Archive: How Free Data Has Enabled the Science and Monitoring Promise of Landsat. Remote Sensing of Environment, 122, 2-10.
http://dx.doi.org/10.1016/j.rse.2012.01.010
[17] Boyd, D. and Danson, F. (2005) Satellite Remote Sensing of Forest Resources: Three Decades of Research Development. Progress in Physical Geography, 29, 1-26.
http://dx.doi.org/10.1191/0309133305pp432ra
[18] Goetz, S. and Dubayah, R. (2011) Advances in Remote Sensing Technology and Implications for Measuring and Monitoring Forest Carbon Stocks and Change. Carbon Management, 2, 231-244.
http://dx.doi.org/10.4155/cmt.11.18
[19] Hansen, M.C., Stehman, S.V. and Potapov, P.V. (2010) Quantification of Global Gross Forest Cover Loss. Proceedings of the National Academy of Sciences of the United States of America, 107, 8650-8655.
http://dx.doi.org/10.1073/pnas.0912668107
[20] Lehmann, E.A., Caccetta, P., Lowell, K., Mitchell, A., Zhou, Z.-S., Held, A., Milne, T. and Tapley, I. (2015) SAR and Optical Remote Sensing: Assessment of Complementarity and Interoperability in the Context of a Large-Scale Operational Forest Monitoring System. Remote Sensing of Environment, 156, 335-348.
http://dx.doi.org/10.1016/j.rse.2014.09.034
[21] Verbesselt, J., Hyndman, R., Newnham, G. and Culvenor, D. (2010) Detecting Trend and Seasonal Changes in Satellite Image Time Series. Remote Sensing of Environment, 114, 106-115.
http://dx.doi.org/10.1016/j.rse.2009.08.014
[22] Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S., Tyukavina, A., Thau, D., Stehman, S., Goetz, S. and Loveland, T. (2013) High-Resolution Global Maps of 21st-Century Forest Cover Change. Science, 342, 850-853.
http://dx.doi.org/10.1126/science.1244693
[23] Sexton, J.O., Song, X.-P., Feng, M., Noojipady, P., Anand, A., Huang, C., Kim, D.-H., Collins, K.M., Channan, S. and DiMiceli, C. (2013) Global, 30-m Resolution Continuous Fields of Tree Cover: Landsat-Based Rescaling of MODIS Vegetation Continuous Fields with Lidar-Based Estimates of Error. International Journal of Digital Earth, 6, 427-448.
http://dx.doi.org/10.1080/17538947.2013.786146
[24] Townshend, J.R., Masek, J.G., Huang, C., Vermote, E.F., Gao, F., Channan, S., Sexton, J.O., Feng, M., Narasimhan, R. and Kim, D. (2012) Global Characterization and Monitoring of Forest Cover Using Landsat Data: Opportunities and Challenges. International Journal of Digital Earth, 5, 373-397.
http://dx.doi.org/10.1080/17538947.2012.713190
[25] Potapov, P., Turubanova, S., Hansen, M.C., Zhuravleva, I., Yaroshenko, A. and Laestadius, L. (2012) Monitoring Forest Loss and Degradation at National to Global Scales Using Landsat Data. In: Achard, F. and Hansen, M., Eds., Global Forest Monitoring from Earth Observation, Taylor and Francis, New York, 143.
[26] Duveiller, G., Defourny, P., Desclée, B. and Mayaux, P. (2008) Deforestation in Central Africa: Estimates at Regional, National and Landscape Levels by Advanced Processing of Systematically-Distributed Landsat Extracts. Remote Sensing of Environment, 112, 1969-1981.
http://dx.doi.org/10.1016/j.rse.2007.07.026
[27] DeVries, B., Verbesselt, J., Kooistra, L. and Herold, M. (2015) Robust Monitoring of Small-Scale Forest Disturbances in a Tropical Montane Forest Using Landsat Time Series. Remote Sensing of Environment, 161, 107-121.
http://dx.doi.org/10.1016/j.rse.2015.02.012
[28] Mitchard, E., Saatchi, S., White, L., Abernethy, K., Jeffery, K., Lewis, S., Collins, M., Lefsky, M., Leal, M. and Woodhouse, I. (2011) Mapping Tropical Forest Biomass with Radar and Spaceborne LiDAR: Overcoming Problems of High Biomass and Persistent Cloud. Biogeosciences Discussions, 8, 8781-8815.
http://dx.doi.org/10.5194/bgd-8-8781-2011
[29] Broich, M., Hansen, M.C., Potapov, P., Adusei, B., Lindquist, E. and 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, 277-291.
http://dx.doi.org/10.1016/j.jag.2010.11.004
[30] Jamali, S., Jönsson, P., Eklundh, L., Ardö, J. and Seaquist, J. (2015) Detecting Changes in Vegetation Trends Using Time Series Segmentation. Remote Sensing of Environment, 156, 182-195.
http://dx.doi.org/10.1016/j.rse.2014.09.010
[31] Griffiths, P., Kuemmerle, T., Baumann, M., Radeloff, V.C., Abrudan, I.V., Lieskovsky, J., Munteanu, C., Ostapowicz, K. and Hostert, P. (2013) Forest Disturbances, Forest Recovery and Changes in Forest Types across the Carpathian Ecoregion from 1985 to 2010 Based on Landsat Image Composites. Remote Sensing of Environment, 151, 72-88.
[32] Grainger, A. (2008) Difficulties in Tracking the Long-Term Global Trend in Tropical Forest Area. Proceedings of the National Academy of Sciences of the United States of America, 105, 818-823.
http://dx.doi.org/10.1073/pnas.0703015105
[33] Aerts, R., Berecha, G., Gijbels, P., Hundera, K., Glabeke, S., Vandepitte, K., Muys, B., Roldán-Ruiz, I. and Honnay, O. (2013) Genetic Variation and Risks of Introgression in the Wild Coffea arabica Gene Pool in South-Western Ethiopian Montane Rainforests. Evolutionary Applications, 6, 243-252.
http://dx.doi.org/10.1111/j.1752-4571.2012.00285.x
[34] Takahashi, R. and Todo, Y. (2013) The Impact of a Shade Coffee Certification Program on Forest Conservation: A Case Study from a Wild Coffee Forest in Ethiopia. Journal of Environmental Management, 130, 48-54.
http://dx.doi.org/10.1016/j.jenvman.2013.08.025
[35] Gebrehiwot, K. and Hundera, K. (2014) Species Composition, Plant Community Structure and Natural Regeneration Status of Belete Moist Evergreen Montane Forest, Oromia Regional State, Southwestern Ethiopia. Momona Ethiopian Journal of Science, 6, 97-101.
[36] Exelis Visual Information Solutions (2010) ENVI v. 4.8, Boulder, Colorado.
[37] USGS. SLC-Off Products: Background. 2007.
http://landsat.usgs.gov/data_products/slc_off_data_products/slc_off_background.php
[38] Lillesand, T.M., Kiefer, R.W. and Chipman, J.W. (2004) Remote Sensing and Image Interpretation. 5th Edition, John Wiley & Sons, Inc., Hoboken.
[39] Zhao, H. and Chen, X. (2005) Use of Normalized Difference Bareness Index in Quickly Mapping Bare Areas from TM/ETM+. Proceedings of 2005 IEEE International Geoscience and Remote Sensing Symposium, 3, 1666-1668.
[40] Pal, M. and Mather, P. (2005) Support Vector Machines for Classification in Remote Sensing. International Journal of Remote Sensing, 26, 1007-1011.
http://dx.doi.org/10.1080/01431160512331314083
[41] Mountrakis, G., Im, J. and Ogole, C. (2011) Support Vector Machines in Remote Sensing: A Review. ISPRS Journal of Photogrammetry and Remote Sensing, 66, 247-259.
http://dx.doi.org/10.1016/j.isprsjprs.2010.11.001
[42] Ben-Hur, A. and Weston, J. (2010) A User’s Guide to Support Vector Machines. In: Ben-Hur, A. and Weston, J., Eds., Data Mining Techniques for the Life Sciences, Humana Press, New York, 223-239.
[43] Pal, M. (2005) Random Forest Classifier for Remote Sensing Classification. International Journal of Remote Sensing, 26, 217-222.
http://dx.doi.org/10.1080/01431160412331269698
[44] Pal, M. and Mather, P.M. (2005) Support Vector Machines for Classification in Remote Sensing. International Journal of Remote Sensing, 26, 1007-1011.
http://dx.doi.org/10.1080/01431160512331314083
[45] Lek, S. and Guégan, J.-F. (2012) Artificial Neuronal Networks: Application to Ecology and Evolution. Springer Science & Business Media, Berlin.
[46] Michie, D., Spiegelhalter, D.J. and Taylor, C.C. (1994) Machine Learning, Neural and Statistical Classification.
[47] Lu, D., Mausel, P., Brondizio, E. and Moran, E. (2004) Change Detection Techniques. International Journal of Remote Sensing, 25, 2365-2401.
http://dx.doi.org/10.1080/0143116031000139863
[48] METI/NASA, M.o.E. Trade and Industry (METI) of Japan and the United States National Aeronautics and Space Administration (NASA). Release Version 2 ASTER Global DEM (2011).
http://gdem.ersdac.jspacesystems.or.jp/search.jsp
[49] Congalton, R.G. and Green, K. (1999) Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Lewis Publishers, Boca Raton, London, New York.
[50] Yuan, D., Elvidge, C.D. and Lunetta, R.S. (1999) Survey of Multispectral Methods for Land Cover Change Analysis. In: Lunetta, R.S. and Elvidge, C.D., Eds., Remote Sensing Change Detection: Environmental Monitoring Methods and Applications, Taylor & Francis, London.
[51] Getahun, K., Van Rompaey, A., Van Turnhout, P. and Poesen, J. (2013) Factors Controlling Patterns of Deforestation in Moist Evergreen Afromontane Forests of Southwest Ethiopia. Forest Ecology and Management, 304, 171-181.
http://dx.doi.org/10.1016/j.foreco.2013.05.001
[52] Potapov, P.V., Turubanova, S.A., Hansen, M.C., Adusei, B., Broich, M., Altstatt, A., Mane, L. and Justice, C.O. (2012) Quantifying Forest Cover Loss in Democratic Republic of the Congo, 2000-2010, with Landsat ETM+ Data. Remote Sensing of Environment, 122, 106-116.
http://dx.doi.org/10.1016/j.rse.2011.08.027
[53] Margono, B.A., Potapov, P.V., Turubanova, S., Stolle, F. and Hansen, M.C. (2014) Primary Forest Cover Loss in Indonesia over 2000-2012. Nature Climate Change, 4, 730-735.
http://dx.doi.org/10.1038/nclimate2277
[54] Petursson, J.G., Vedeld, P. and Sassen, M. (2013) An Institutional Analysis of Deforestation Processes in Protected Areas: The Case of the Transboundary Mt. Elgon, Uganda and Kenya. Forest Policy and Economics, 26, 22-33.
http://dx.doi.org/10.1016/j.forpol.2012.09.012
[55] Islam, K. and Sato, N. (2012) Deforestation, Land Conversion and Illegal Logging in Bangladesh: The Case of the Sal (Shorea robusta) Forests. iForest-Biogeosciences and Forestry, 5, 171-178.
[56] Armenteras, D., Rodríguez, N., Retana, J. and Morales, M. (2011) Understanding Deforestation in Montane and Lowland Forests of the Colombian Andes. Regional Environmental Change, 11, 693-705.
http://dx.doi.org/10.1007/s10113-010-0200-y
[57] Htun, N.Z., Mizoue, N. and Yoshida, S. (2013) Changes in Determinants of Deforestation and Forest Degradation in Popa Mountain Park, Central Myanmar. Environmental Management, 51, 423-434.
http://dx.doi.org/10.1007/s00267-012-9968-5
[58] Robalino, J.A. and Pfaff, A. (2012) Contagious Development: Neighbor Interactions in Deforestation. Journal of Development Economics, 97, 427-436.
http://dx.doi.org/10.1016/j.jdeveco.2011.06.003
[59] Vanderhaegen, K., Verbist, B., Hundera, K. and Muys, B. (2015) REALU vs. REDD+: Carbon and Biodiversity in the Afromontane Landscapes of SW Ethiopia. Forest Ecology and Management, 343, 22-33.
http://dx.doi.org/10.1016/j.foreco.2015.01.016
[60] Woldemariam, T. (2003) Vegetation of the Yayu Forest in SW Ethiopia: Impacts of Human Use and Implications for in Situ Conservation of Wild Coffea arabica L. Populations. University of Bonn, Bonn.
[61] Berecha, G., Aerts, R., Vandepitte, K., Van Glabeke, S., Muys, B., Roldán-Ruiz, I. and Honnay, O. (2014) Effects of Forest Management on Mating Patterns, Pollen Flow and Intergenerational Transfer of Genetic Diversity in Wild Arabica Coffee (Coffea arabica L.) from Afromontane Rainforests. Biological Journal of the Linnean Society, 112, 76-88.
http://dx.doi.org/10.1111/bij.12274
[62] Gamfeldt, L., Snäll, T., Bagchi, R., Jonsson, M., Gustafsson, L., Kjellander, P., Ruiz-Jaen, M.C., Fröberg, M., Stendahl, J. and Philipson, C.D. (2013) Higher Levels of Multiple Ecosystem Services Are Found in Forests with More Tree Species. Nature Communications, 4, Article No. 1340.
http://dx.doi.org/10.1038/ncomms2328

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.