1 |
Achanta, R., A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Susstrunk, 2012. SLIC superpixels compared to state-of-the-art superpixel methods, IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(11): 2274-2282.
DOI
|
2 |
Baraldi, A., M. Gironda, and D. Simonetti, 2009. Operational two-stage stratified topographic correction of spaceborne multispectral imagery employing an automatic spectral-rule-based decision-tree preliminary classifier, IEEE Transactions on Geoscience and Remote Sensing, 48(1): 112-146.
DOI
|
3 |
Escuin, S., R. Navarro, and P. Fernandez, 2008. Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM/ETM images, International Journal of Remote Sensing, 29(4): 1053-1073.
DOI
|
4 |
Ester, M., H. P. Kriegel, J. Sander, and X. Xu, 1996. A density-based algorithm for discovering clusters in large spatial databases with noise, Proc. of International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, OR, Aug. 2-4, vol. 96, no. 34, pp. 226-231.
|
5 |
Gangwon Province, Research Institute for Gangwon, Gangwon KOFST (Korean Federation of Science & Technology Societies), 2019. 1st Gangwon Province Disaster Prevention (Wildfire) Forum 2019, http://bitly.kr/A6LxHQJV3, Accessed on Mar. 29, 2020 (in Korean).
|
6 |
Gao, M. L., W. J. Zhao, Z. N. Gong, H. L. Gong, Z. Chen, and X. M. Tang, 2014. Topographic correction of ZY-3 satellite images and its effects on estimation of shrub leaf biomass in mountainous areas, Remote Sensing, 6(4): 2745-2764.
DOI
|
7 |
Gu, D. and A. Gillespie, 1998. Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry, Remote Sensing of Environment, 64(2): 166-175.
DOI
|
8 |
Huete, A., 1988. A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, 25: 295-309.
DOI
|
9 |
Hutchinson, M. F., 1989. A new method for gridding elevation and stream line data with automatic removal of spurious pits, Journal of Hydrology, 106: 211-232.
DOI
|
10 |
Hutchinson, M. F., T. Xu, and J. A. Stein, 2011. Recent progress in the ANUDEM elevation gridding procedure, Proc. of Geomorphometry 2011, Redlands, CA, Sep. 7-11, pp. 19-22.
|
11 |
Key, C. H. and N. Benson, 2006. Landscape Assessment (LA) Sampling and Analysis Methods, In: Lutes, D. C. (Ed.), FIREMON: Fire Effects Monitoring and Inventory System, USDA Forest Service, Rocky Mountain Research Station General Technical Report RMRS-GTR-164-CD, Ogden, UT, USA, pp. 1-51.
|
12 |
Kolden, C. A., J. T. Abatzoglou, J. A. Lutz, C. A. Cansler, J. T. Kane, J. W. Van Wagtendonk, and C. H. Key, 2015. Climate contributors to forest mosaics: ecological persistence following wildfire, Northwest Science, 89(3): 219-238.
DOI
|
13 |
Korea Forest Service, 2020. Comprehensive Plan for the Prevention of National Forest Fire 2020, http://bitly.kr/8OZNhLZQe, Accessed on Mar. 29, 2020 (in Korean).
|
14 |
Li, J. and D. P. Roy, 2017. A global analysis of Sentinel-2A, Sentinel-2B and Landsat-8 data revisit intervals and implications for terrestrial monitoring, Remote Sensing, 9(9): 902.
DOI
|
15 |
Moreira, E. P. and M. M. Valeriano, 2014. Application and evaluation of topographic correction methods to improve land cover mapping using objectbased classification, International Journal of Applied Earth Observation and Geoinformation, 32: 208-217.
DOI
|
16 |
Nichol, J. and L. K. Hang, 2008. The influence of DEM accuracy on topographic correction of Ikonos satellite images, Photogrammetric Engineering & Remote Sensing, 74(1): 47-53.
DOI
|
17 |
Planet, 2020b. Planet Imagery Product Specifications, https://assets.planet.com/docs/Planet_Combined_Imagery_Product_Specs_letter_screen.pdf, Accessed on Mar. 29, 2020.
|
18 |
Otsu, N., 1979. A threshold selection method from gray-level histograms, IEEE Transactions on Systems, Man, and Cybernetics, 9(1): 62-66.
DOI
|
19 |
Park, S. H., H. S. Jung, J. Choi, and S. Jeon, 2017. A quantitative method to evaluate the performance of topographic correction models used to improve land cover identification, Advances in Space Research, 60(7): 1488-1503.
DOI
|
20 |
Planet, 2020a. Planet Education and Research Program, https://www.planet.com/markets/education-andresearch, Accessed on Mar. 29, 2020.
|
21 |
Reeder, D. H., 2002. Topographic correction of satellite images: Theory and application, Ph.D. dissertation, Dartmouth College, Hanover, NH, USA.
|
22 |
Smith, J. A., T. L. Lin, and K. J. Ranson, 1980. The Lambertian assumption and Landsat data, Photogrammetric Engineering and Remote Sensing, 46(9): 1183-1189.
|
23 |
Thode, A. E., J. W. Van Wagtendonk, J. D. Miller, and J. F. Quinn, 2011. Quantifying the fire regime distributions for severity in Yosemite National Park, California, USA, International Journal of Wildland Fire, 20(2): 223-239.
DOI
|
24 |
Soenen, S. A., D. R. Peddle, and C. A. Coburn, 2005. SCS+ C: A modified sun-canopy-sensor topographic correction in forested terrain, IEEE Transactions on Geoscience and Remote Sensing, 43(9):2148-2159.
DOI
|
25 |
Tan, B., R. Wolfe, J. Masek, F. Gao, and E. F. Vermote, 2010. An illumination correction algorithm on Landsat-TM data, Proc. of 2010 IEEE International Geoscience and Remote Sensing Symposium, Honolulu, HI, Jul. 25-30, pp. 1964-1967.
|
26 |
Teillet, P. M., B. Guindon, and D. G. Goodenough, 1982. On the slope-aspect correction of multispectral scanner data, Canadian Journal of Remote Sensing, 8(2): 84-106.
DOI
|
27 |
Valeriano, M. D. M., I. D. A. Sanches, and A. R. Formaggio, 2016. Topographic effect on spectral vegetation indices from Landsat TM data: Is topographic correction necessary?, Boletim de Ciencias Geodesicas, 22(1): 95-107.
DOI
|
28 |
Waltz, E. D., 2015. The Principles and Practice of Image and Spatial Data Fusion, In: Hall, D. L., Llinas, J. (Ed.), Handbook of Multisensor Data Fusion, CRC press, Boca Raton, FL, USA, pp. 1-15.
|