Estimation of Aboveground Forest Biomass Carbon Stock by Satellite Remote Sensing - A Comparison between k-Nearest Neighbor and Regression Tree Analysis - |
Jung, Jaehoon
(School of Civil and Environmental Engineering, Yonsei University)
Nguyen, Hieu Cong (School of Civil and Environmental Engineering, Yonsei University) Heo, Joon (School of Civil and Environmental Engineering, Yonsei University) Kim, Kyoungmin (Center for Forest & Climate Change, Korea Forest Research Institute) Im, Jungho (School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology) |
1 | Brockhaus, J.A. and S. Khorram, 1992. A comparison of SPOT and Landsat-TM data for use in conducting inventories of forest resources, International Journal of Remote Sensing, 13(16): 3035-3043. DOI ScienceOn |
2 | Chander, G. and B. Markham, 2003. Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges, IEEE Transactions on Geoscience and Remote Sensing, 41(11): 2674-2677. DOI ScienceOn |
3 | Coomes, O.T., F. Grimard, C. Potvin and P. Sima, 2008. The fate of the tropical forest: Carbon or cattle?, Ecological Economics, 65(2): 207-212. DOI |
4 | Cho, K., J. Heo, J. Jung, C. Kim and K. Kim, 2011. Review and Comparative Analysis of Forest Biomass Estimation using Remotely Sensed Data: from Five Different Perspectives. Korean Society for Geospatial Information System, 19(1): 87-96 (in Korean with English abstract). 과학기술학회마을 |
5 | Chung, S.Y., J.S. Yim, H.K. Cho, J.H. Jeong, S.H. Kim and M.Y. Shin, 2009. Estimation of Forest Biomass for Muju County using Biomass Conversion Table and Remote Sensing Data, Journal of Korean Forest Society, 98(4): 409-416 (in Korean with English abstract). 과학기술학회마을 |
6 | Colby, J.D., 1991. Topographic normalization in rugged terrain, Photogrammetric Engineering and Remote Sensing, 57(5): 531-537. |
7 | Crist, E.P. and R.J. Kauth, 1986. The Tasseled Cap De-Mystified, Photogrammetric Engineering and Remote Sensing, 52: 81-86. |
8 | Fazakas, Z., M. Nilsson and H. Olsson, 1999. Regional forest biomass and wood volume estimation using satellite data and ancillary data, Agricultural and Forest Meteorology, 98: 417-425. |
9 | Franco-Lopez, H., A.R. Ek and M.E. Bauer, 2001. Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors method, Remote Sensing of Environment, 77(3): 251-274. DOI ScienceOn |
10 | Fuchs, H., P. Magdon, C. Kleinn and H. Flessa, 2009. Estimating aboveground carbon in a catchment of the Siberian forest tundra: Combining satellite imagery and field inventory, Remote Sensing of Environment, 113(3): 518-531. DOI ScienceOn |
11 | Gao, B.-c., 1996. NDWI?A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, 58(3): 257-266. DOI ScienceOn |
12 | Gemmell, F.M., 1995. Effects of forest cover, terrain, and scale on timber volume estimation with Thematic Mapper data in a rocky mountain site, Remote Sensing of Environment, 51(2): 291-305. DOI ScienceOn |
13 | Heo, J., J.H. Kim, J.S. Park and H.G. Sohn, 2006a. Timber age verification using historical satellite image analysis, Forest ecology and management, 236(2): 315-323. DOI |
14 | Heo, J., J.S. Park, Y.S. Song, S.K. Lee and H.G. Sohn, 2008. An integrated methodology for estimation of forest fire-loss using geospatial information, Environmental monitoring and assessment, 144(1): 285-299. DOI |
15 | Gjertsen, A.K., 2007. Accuracy of forest mapping based on Landsat TM data and a kNN-based method, Remote Sensing of Environment, 110(4): 420-430. DOI ScienceOn |
16 | Gonzalez, P., G.P. Asner, J.J. Battles, M.A. Lefsky, K.M. Waring and M. Palace, 2010. Forest carbon densities and uncertainties from Lidar, QuickBird, and field measurements in California, Remote Sensing of Environment, 114(7): 1561-1575. DOI |
17 | Goodenough, D.G., A. Bhogal, A. Dyk, M. Apps, R. Hall, P. Tickle, H. Chen, K. Butler and M. Gim. 2000. Determination of above ground carbon in Canada's forests-a multi-source approach, Proc. of 2000 Geoscience and Remote Sensing Symposium, Honolulu Hawaii, USA. Jul. 24-28, pp. 949-953. |
18 | Holopainen, M., R. Haapanen, M. Karjalainen, M. Vastaranta, J. Hyyppa, X. Yu, S. Tuominen and H. Hyyppa, 2010. Comparing accuracy of airborne laser scanning and TerraSAR-X radar images in the estimation of plot-level forest variables, Remote Sensing, 2(2): 432-445. DOI |
19 | Homer, C., J. Dewitz, J. Fry, M. Coan, N. Hossain, C. Larson, N. Herold, A. McKerrow, J.N. VanDriel and J. Wickham, 2007. Completion of the 2001 National Land Cover Database for the Counterminous United States, Photogrammetric Engineering and Remote Sensing, 73(4): 337. |
20 | Huang, F., 2006. Child development production functions. Available at SSRN: http://ssrn.com/abstract=889005 or http://dx.doi.org/10.2139/ssrn.889005. |
21 | Huete, A., K. Didan, T. Miura, E.P. Rodriguez, X. Gao and L.G. Ferreira, 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment, 83: 195-213. DOI ScienceOn |
22 | Hyyppa, J., H. Hyyppa, M. Inkinen, M. Engdahl, S. Linko and Y.H. Zhu, 2000. Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes, Forest Ecology and Management, 128(1): 109-120. DOI |
23 | Jung, J.H., J. Heo, S.H. Yoo, K.M. Kim and J.B. Lee, 2010. Estimation of Aboveground Biomass Carbon Stock in Danyang Area using kNN Algorithm and Landsat TM Seasonal Satellite Images, Journal of the Korean Society for GeoSpatial Information System, 18(4): 119-129 (in Korean with English abstract). 과학기술학회마을 |
24 | Huete, A.R., 1988. A soil-adjusted vegetation index, SAVI, Remote Sensing of Environment, 25(3): 295-309. DOI ScienceOn |
25 | Huete, A.R., H. Liu, K. Batchily and W.J.D. Leeuwen, 1997. A comparison of vegetation indices over a global set of TM images for EOS-MODIS, Remote Sensing of Environment, 59(3): 440-451. DOI |
26 | Jung, J.H., S.P. Kim, S.C. Hong, K.M. Kim, E.S. Kim, J.H. Im and J. Heo, 2013. Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm, ISPRS Journal of Photogrammetry and Remote Sensing, 81: 82-92. DOI |
27 | Katila, M. and E. Tomppo, 2001. Selecting estimation parameters for the Finnish multisource National Forest Inventory, Remote Sensing of Environment, 76(1): 16-32. DOI ScienceOn |
28 | Kim, C., J. Heo, J.B. Lee, S. Han, J.H. Jung and S. Jayakumar, 2012. A synergetic approach to estimating timber age using integrated remotely sensed optical image and InSAR height data, International Journal of Remote Sensing, 33(1): 243-260. DOI |
29 | Lu, D., 2006. The potential and challenge of remote sensing based biomass estimation, International Journal of Remote Sensing, 27(7): 1297-1328. DOI ScienceOn |
30 | Kim, K.M., 2012. Spatially explicit estimation and the uncertainty analysis of carbon stocks in pine forest using growth model and GIS: The case of Danyang area, Chungcheongbuk-do, doctoral dissertation, Seoul National University, Korea (in Korean with English abstract). |
31 | Kim, S., J.H. Heo, J. Heo and S. Kim, 2008. Impervious Surface Estimation of Jungnangcheon Basin using Satellite Remote Sensing and Classification and Regression Tree, Korean Society of Civil Engineers, 28(6D): 915-922 (in Korean with English abstract). 과학기술학회마을 |
32 | Korea Forest Research Institute, 2009. The 5th national forest inventory surveying: field surveying guide book ver. 1.3 37. Korea Forest Research Institute (in Korean). |
33 | Labrecque, S., R. Fournier, J. Luther and D. Piercey, 2006. A comparison of four methods to map biomass from Landsat-TM and inventory data in western Newfoundland, Forest Ecology and Management, 226(1): 129-144. DOI ScienceOn |
34 | Lu, D., P. Mausel, E. Brondı'zio and E. Moran, 2004. Relationships between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin, Forest Ecology and Management, 198(1-3): 149-167. DOI |
35 | Luther, J., R. Fournier, D. Piercey, L. Guindon and R. Hall, 2006. Biomass mapping using forest type and structure derived from Landsat TM imagery, International journal of applied earth observation and geoinformation, 8(3): 173-187. DOI |
36 | Major, D.J., F. Baret and G. Guyot, 1990. A ratio vegetation index adjusted for soil brightness, International Journal of Remote Sensing, 11: 727-740. DOI |
37 | Qi, J., A. Chehbouni, A.R. Huete, Y.H. Kerr and S. Sorooshian, 1994. A modified soil adjusted vegetation index, Remote Sensing of Environment, 48(2): 119-126. DOI ScienceOn |
38 | McVey, G.R. and G.S. Gerald, 1968. Measuring the Color of Growing Turf with a Reflectance Spectrophotometer, Agronomy Journal, 60: 640-643. DOI |
39 | Muukkonen, P., 2006. Forest inventory-based largescale forest biomass and carbon budget assessment: new enhanced methods and use of remote sensing for verification, doctoral dissertation, University of Helsinki, Finland. |
40 | Myeong, S., D.J. Nowak and M.J. Duggin, 2006. A temporal analysis of urban forest carbon storage using remote sensing, Remote Sensing of Environment, 101(2): 277-282. DOI ScienceOn |
41 | Penman, J., M. Gytarsky, T. Hiraishi, T. Krug, D. Kruger, R. Pipatti, L. Buendia, K. Miwa, T. Ngara and K. Tanabe, 2003. Good practice guidance for land use, land-use change and forestry, IPCC National Greenhouse Gas Inventories Programme and Institute for Global Environmental Strategies, IGES), Kanagawa, Japan. |
42 | Pinty, B. and M. Verstraete, 1992. GEMI: A Non-Linear Index to Monitor Global Vegetation from Satellites, Vegetatio, 101: 15-20. DOI |
43 | Prasad, A.M., L.R. Iverson and A. Liaw, 2006. Newer classification and regression tree techniques: bagging and random forests for ecological prediction, Ecosystems, 9(2): 181-199. DOI ScienceOn |
44 | Reese, H., M. Nilsson, T.G. Pahlen, O. Hagner, S. Joyce, U. Tingelof, M. Egberth and H. Olsson, 2003. Countrywide estimates of forest variables using satellite data and field data from the National Forest Inventory, AMBIO: A Journal of the Human Environment, 32(8): 542-548. DOI |
45 | Ripple, W.J., S. Wang, D.L. Isaacson and D.P. Paine, 1991. A preliminary comparison of Landsat Thematic Mapper and SPOT-1 HTV multispectral data for estimating coniferous forest volume, International Journal of Remote Sensing, 12: 1971-1977. DOI |
46 | Rondeaux, G., M. Steven and F. Baret, 1996. Optimization of soil-adjusted vegetation indices, Remote Sensing of Environment, 55(2): 95-107. DOI ScienceOn |
47 | Roujean, J.L. and F.M. Breon, 1995. Estimating PAR absorbed by vegetation from bidirectional reflectance measurements, Remote Sensing of Environment, 51(3): 375-384. DOI ScienceOn |
48 | Tomppo, E. and M. Halme, 2004. Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: a genetic algorithm approach, Remote Sensing of Environment, 92(1): 1-20. DOI ScienceOn |
49 | Rouse, J.W., R.H. Haas, J.A. Schell and D.W. Deering. 1974. Monitoring vegetation systems in the Great Plains with ERTS, NASA special publication, USA. |
50 | Roy, P. and S.A. Ravan, 1996. Biomass estimation using satellite remote sensing data?an investigation on possible approaches for natural forest, Journal of Biosciences, 21(4): 535-561. DOI ScienceOn |
51 | Rulequest. 2012. Rulequest research data mining tools. |
52 | Santilli, M., P. Moutinho, S. Schwartzman, D. Nepstad, L. Curran and C. Nobre, 2005. Tropical deforestation and the Kyoto Protocol, Climatic Change, 71(3): 267-276. DOI ScienceOn |
53 | Tomppo, E., C. Goulding and M. Katila, 1999. Adapting Finnish Multi-Source Forest Inventory Techniques to the New Zealand Preharvest Inventory, Scandinavian Journal of Forest Research, 14: 182-192. DOI |
54 | Tomppo, E., H. Olsson, G. St?hl, M. Nilsson, O. Hagner and M. Katila, 2008. Combining national forest inventory field plots and remote sensing data for forest databases, Remote Sensing of Environment, 112(5): 1982-1999. DOI ScienceOn |
55 | Tou, J.T. and R.C. Gonzalez, 1974. Pattern recognition principles. |
56 | Tucker, C.J., 1979. Red and photographic infrared linear combinations for monitoring vegetation, Remote Sensing of Environment, 8(2): 127?150. DOI ScienceOn |
57 | Yoo, S.H., J. Heo, J.H. Jung, S.H. Han and K.M. Kim, 2011. Estimation of Aboveground Biomass Carbon Stock using Landsat TM and Ratio Images - kNN Algorithm and Regression Model Priority, Korea Society for Geospatial Information System, 19(2): 39-48 (in Korean with English abstract). |
58 | Yim, J.S., W.S. Han, J.H. Hwang, S.Y. Chung, H.K. Cho and M.Y. Shin, 2009. Estimation of Forest Biomass upon Satellite Data and National Forest Inventory Data, Korean Journal of Remote Sensing, 25(4): 311-320. 과학기술학회마을 DOI |