Acknowledgement
본 연구는 국립생태원 수탁연구 '육상풍력 환경모니터링 및 환류체계 구축 연구(NIE-C-2022-90)'와 한국환경산업기술원의 'ICT 기반 환경영향평가 의사결정 지원 기술개발사업(2020002990001)'의 지원을 받아 연구되었습니다.
References
- American Association of Nurserymen. 1996. American Standards for Nursery Stock. ANSI Z60.1-1996. Amer. Assn. of Nurserymen. Washington, D.C.
- Anand A, SK Singh and S Kanga. 2018. Estimating the change in forest cover density and predicting NDVI for west Singhbhum using linear regression. Int. J. Environ. Rehabil. Conserv. 9:193-203. https://doi.org/10.31786/09756272.18.9.1.125
- Bae SH and SD Lee. 2019. A study on the timing of management through comparison of growth rate by year of tree in the ecological restoration site - Focused on the deciduous tree. pp. 85-86. In: Proceedings of the Korean Society of Environment and Ecology Conference. Korean Society of Environment and Ecology Conference. Korean Society of Environment and Ecology.
- Ban YU, KS Joo, HK Jeong and GH Hwang. 2010. Improvement of EIS documentation & consultation process through expert survey method. J. Environ. Impact Assess. 19:141-151.
- Bannari A, D Morin, F Bonn and A Huete. 1995. A review of vegetation indices. Remote Sens. Rev. 13:95-120. https://doi.org/10.1080/02757259509532298
- Brantley ST, JC Zinnert and DR Young. 2011. Application of hyperspectral vegetation indices to detect variations in high leaf area index temperate shrub thicket canopies. Remote Sens. Environ. 115:514-523. https://doi.org/10.1016/j.rse.2010.09.020
- Campbell MJ, PE Dennison, JW Tune, SA Kannenberg, KL kerr, BF Codding and WR Anderegg. 2020. A multi-sensor, multi-scale approach to mapping tree mortality in woodland ecosystems. Remote Sens. Environ. 245:111853. https://doi.org/10.1016/j.rse.2020.111853
- Cho HR, SB Kim and D Oh. 2009. Cost effectiveness depending on the native tree treatment methods. J. Korean Env. Res. Tech. 12:51-62.
- Cho KJ, JG Choi, YM Park, YI Song, H Sagong, SB Lee, JC Jung and YS Im. 2008. Achievement and Development of EIA Over the Last 30 Years. KEI Research Report. RE-12. Korea Environment Institute. Sejong, Korea.
- Cho NW. 2020. An empirical study on the institutional change of environmental impact assessment: Focused on agreed terms. Ph.D. Dissertation. Yonsei University. Seoul. Korea. p. 172.
- Drusch M, U del Bello, S Carlier, O Colin, V Fernandez, F Gascon, B Hoersch, C Isola, P Laverinti, P Martimort, A Meygret, F Spoto, O Sy, F Marchese and P Bargellini. 2012. Sentinel-2: ESA's optical high-resolution mission for GMES operational services. Remote Sens. Environ. 120:25-36. https://doi.org/10.1016/j.rse.2011.11.026
- Furniss TJ, VR Kane, AJ Larson and JA Lutz. 2020. Detecting tree mortality with Landsat-derived spectral indices: Improving ecological accuracy by examining uncertainty. Remote Sens. Environ. 237:111497. https://doi.org/10.1016/j.rse.2019.111497
- Gilman EF. 1989. Plant form in relation to root spread. J. Environ. Hort. 7:88-90. https://doi.org/10.24266/0738-2898-7.3.88
- Gilman EF. 1990. Tree root growth and development. II. Response to culture, management and planting. J. Environ. Hort. 8:220-227. https://doi.org/10.24266/0738-2898-8.4.220
- Gilman EF and ME Kane. 1991. Growth dynamics following planting of cultivars of Juniperus chinensis. J. Am. Soc. Hortic. Sci. 116:637-641. https://doi.org/10.21273/JASHS.116.4.637
- Gilman EF, RJ Black and B Dehgan. 1998. Irrigation volume and frequency and tree size affect establishment rate. J. Arboric. 24:1-9.
- Gitelson AA, YJ Kaufman and MN Merzlyak. 1996. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sens. Environ. 58:289-298. https://doi.org/10.1016/S0034-4257(96)00072-7
- Gutierrez-Rodriguez M, JA Escalante-Estrada, MT Rodriguez Gonzalez and MP Reynolds. 2006. Canopy reflectance indices and its relationship with yield in common bean plants (Phaseolus vulgaris L.) with phosphorous supply. Int. J. Agric. Biol. 8:203-207.
- Hansen MC, YE Shimabukuro, P Potapov and K Pittman. 2008. Comparing annual MODIS and PRODES forest cover change data for advancing monitoring of Brazilian forest cover. Remote Sens. Environ. 112:3784-3793. https://doi.org/10.1016/j.rse.2008.05.012
- Hati JP, S Goswami, S Samanta, N Pramanick, SD Majumdar, NR Chaube, A Misra and S Hazra. 2021. Estimation of vegetation stress in the mangrove forest using AVIRIS-NG airborne hyperspectral data. Model Earth Syst. Environ. 7:1877-1889. https://doi.org/10.1007/s40808-020-00916-5
- Hawrylo P, B Bednarz, P Wezyk and M Szostak. 2018. Estimating defoliation of Scots pine stands using machine learning methods and vegetation indices of Sentinel-2. Eur. J. Remote Sens. 51:194-204. https://doi.org/10.1080/22797254.2017.1417745
- Huete A, K Didan and WV Leeuwen. 1999. MODIS Vegetation Index (MOD13). Algorithm Theoretical Basis Document Version 3.1. University of Arizona. Tucson, AZ.
- Huete A, K Didan, WV Leeuwen, T Miura and E Glenn. 2010. MODIS vegetation indices. pp. 579-602. In: Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS. Springer. New York.
- Huete AR. 1988. A soil-adjusted vegetation index(SAVI). Remote Sens. Environ. 25:295-309. https://doi.org/10.1016/0034-4257(88)90106-X
- Huete AR. 2012. Vegetation indices, remote sensing and forest monitoring. Geogr. Compass 6:513-532. https://doi.org/10.1111/j.1749-8198.2012.00507.x
- Jamal M and S Mandal. 2016. Monitoring forest dynamics and landslide susceptibility in Mechi-Balason interfluves of Darjiling Himalaya, West Bengal using forest canopy density model (FCDM) and Landslide Susceptibility Index model (LSIM). Model Earth Syst. Environ. 2:1-17. https://doi.org/10.1007/s40808-016-0243-2
- Jeong MH, SG Jeong, CG Jang and JY Sin. 2015. Analysis of tree vitality according to root state of transplanted trees. pp. 127-128. In: Proceedings of the Korean Institute of Landscape Architecture Conference. Korean Institute of Landscape Architecture Conference.
- Jiang Z, AR Huete, J Chen, Y Chen, J Li, G Yan and X Zhang. 2006. Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction. Remote Sens. Environ. 101: 366-378. https://doi.org/10.1016/j.rse.2006.01.003
- Kerr JT and M Ostrovsky. 2003. From space to species: ecological applications for remote sensing. Trends. Ecol. Evol. 18:299-305. https://doi.org/10.1016/S0169-5347(03)00071-5
- Kim CS and ZS Kim. 2012. Effects of cutting time, auxin treatment, and cutting position on rooting of the green-wood cuttings and growth characteristics of transplanted cuttings in the adult Prunus yedoensis. Hortic. Sci. Technol. 30:129-136. https://doi.org/10.7235/hort.2012.11041
- Kim OK. 2005. The transplantation method of natural vegetation community in development area-A case study of Yong-In Dongbaek District. Department of Landscape Architecture, Graduate School of Urban Science, University of Seoul. Seoul. p.167.
- Knipling EB. 1970. Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation. Remote Sens. Environ. 1:155-159. https://doi.org/10.1016/S0034-4257(70)80021-9
- Korea Environment Institute. 2017. Review and Writing Manual for Environmental Impact Statement. (Ver.2.0). Korea Environment Institute. Sejong, Korea. p. 21.
- Korea Land Development Corporation. 1994. The Study of Utilizing Wild Plants in Land Development District - Focused on New Town (Bundang and Ilsan). Korea Land Development Corporation Report. Korea Land Development Corporation. p. 113.
- Kureel N, J Sarup, S Matin, S Goswami and K Kureel. 2022. Modelling vegetation health and stress using hypersepctral remote sensing data. Model Earth Syst. Environ. 8:733-748. https://doi.org/10.1007/s40808-021-01113-8
- Langley SK, HM Cheshire and KS Humes. 2001. A comparison of single date and multitemporal satellite image classifications in a semi-arid grassland. J. Arid Environ. 49:401-411. https://doi.org/10.1006/jare.2000.0771
- Lee GS and YW Choi. 2019. Analysis of cropland spectral properties and vegetation index using UAV. J. Korean Assoc. Geogr. Inf. Stud. 22:86-101. https://doi.org/10.11108/kagis.2019.22.4.086
- Lee SC, BY Jo and SH Choi. 2015. A study of establishment ratio of native tree transplant. J. Korean Inst. Landsc. Archit. 43:23-29. https://doi.org/10.9715/KILA.2015.43.2.023
- Lee SD and HK Kang. 2012. Transplantation method of damage ecosystem associated with development of the borrow pits. Korean J. Environ. Ecol. 26:394-405.
- Lee SM, BJ Kim, DH Lee, MH Jang, JK Kim, HR Kim, SH Woo, SH Yoo, TH Lee, YJ Moon, SW Park and SH Kim. 2020. Operational Improvement of Temporary Transplant Site in Environmental Impact Assessment(I). National Institute of Ecology. Seocheon, Korea.
- Lee SM, BJ Kim, DH Lee, MH Jang, JK Kim, HR Kim, SH Woo, SH Yoo, TH Lee, YJ Moon, SW Park and SH Kim. 2021. Operational improvement of temporary transplant site in Environmental Impact Assessment(II). National Institute of Ecology. Seocheon, Korea.
- Lees T, G Tseng, C Atzberger, S Reece and S Dadson. 2022. Deep learning for vegetation health forecasting: A case study in Kenya. Remote Sens. 14:698. https://doi.org/10.3390/rs14030698
- Li J and B Chen. 2020. Global revisit interval analysis of Landsat-8-9 and Sentinel-2a-2b data for terrestrial monitoring. Sensors 20:6631. https://doi.org/10.3390/s20226631
- Li X, W Yuan and W Dong. 2021. A machine learning method for predicting vegetation indices in China. Remote Sens. 13:1147. https://doi.org/10.3390/rs13061147
- Lorant MM, SP Davydov, H Kropp, HD Alexander, MC Mack, SM Natali and NS Zimov. 2018. Vegetation indices do not capture forest cover variation in upland Siberian larch forests. Remote Sens. 10:1686. https://doi.org/10.3390/rs10111686
- Na SJ, IS Kim, JH Kim and DH Lee. 2014. Growth characteristics of Pinus densiflora seedlings by root pruning intensity. J. Agric. Life Sci. 48:15-21. https://doi.org/10.14397/jals.2014.48.1.15
- Nordberg ML and J Evertson. 2005. Vegetation index differencing and linear regression for change detection in a Swedish mountain range using Landsat TM® and ETM+® imagery. Land Degrad. Dev. 16:139-149. https://doi.org/10.1002/ldr.660
- Obregon MA, G Rodrigues, MJ Costa, M Potes and AM Silva. 2019. Validation of ESA Sentinel-2 L2A aerosol optical thickness and columnar water vapour during 2017-2018. Remote Sens. 11:1649. https://doi.org/10.3390/rs11141649
- Park CM. 2002. The restoration technique of native forest resources on the development land applied in the new campus of Kyushu University, Japan. J. Korea Env. Res. Tech. 5:50-57.
- Pettorelli N, JO Vik, A Mysterud, JM Gaillard, CJ Tucker and NC Stenseth. 2005. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends. Ecol. Evol. 20:503-510. https://doi.org/10.1016/j.tree.2005.05.011
- Purevdorj TS, R Tateishi, T Ishiyama and Y Honda. 1998. Relationships between percent vegetation cover and vegetation indices. Int. J. Remote Sens. 19:3519-3535. https://doi.org/10.1080/014311698213795
- Qi J, F Cabot, MS Moran and G Dedieu. 1995. Biophysical parameter estimations using multidirectional spectral measurements. Remote Sens. Environ. 54:71-83. https://doi.org/10.1016/0034-4257(95)00102-7
- Rouse JW, RH Haas, JA Schel and DW Deering. 1974. Monitoring vegetation systems in the great plains with ERTS. pp. 309-317. In: Third Earth Resources Technology Satellite-1 Symposium, Volume I: Technical Presentations Section A, NASA SP-351 (Freden SC, EP Mercanti and M Becker, eds.). National Aeronautics and Space Administration. Washington, D.C.
- Rulinda CM, A Dilo, W Bijker and A Stein. 2012. Characterising and quantifying vegetative drought in East Africa using fuzzy modelling and NDVI data. J. Arid. Environ. 78:169-178. https://doi.org/10.1016/j.jaridenv.2011.11.016
- Running SW, CO Justice, V Salomonson, D Hall, J Barker, YJ Kaufmann and D Carneggie. 1994. Terrestrial remote sensing science and algorithms planned for EOS/MODIS. Int. J. Remote Sens. 15:3587-3620. https://doi.org/10.1080/01431169408954346
- Saleem MH, J Potgieter and KM Arif. 2019. Plant disease detection and classification by deep learning. Plants 8:468. https://doi.org/10.3390/plants8110468
- Son MB, JH Chung, YG Lee and SJ Kim. 2021. A comparative analysis of vegetation and agricultural monitoring of Terra MODIS and Sentinel-2 NDVIs. J. Korean Soc. Agric. Eng. 63:101-115. https://doi.org/10.5389/KSAE.2021.63.6.101
- Verbesselt J, A Robinson, C Stone and D Culvenor. 2009. Forecasting tree mortality using change metrics derived from MODIS satellite data. For. Ecol. Manage. 258:1166-1173. https://doi.org/10.1016/j.foreco.2009.06.011
- Wang FM, JF Huang, YL Tang and XZ Wang. 2007. New vegetation index and its application in estimating leaf area index of rice. Rice Sci. 14:195-203. https://doi.org/10.1016/S1672-6308(07)60027-4
- Wang Z, T Wang, R Darvishzadeh, AK Skidmore, S Jones, L Suarez, W Woodgate, U Heiden, M Heurich and J Hearne. 2016. Vegetation indices for mapping canopy foliar nitrogen in a mixed temperate forest. Remote Sens. 8:491. https://doi.org/10.3390/rs8060491
- Watson G. 1985. Tree size affects root regeneration and top growth after transplanting. J. Arboric. 11:37-40. https://doi.org/10.48044/jauf.1985.009
- Watson GW. 1986. Cultural practices can influence root development for better transplanting success. J. Environ. Hortic. 4:32-34. https://doi.org/10.24266/0738-2898-4.1.32
- Watson WT. 2005. Influence of tree size on transplant establishment and growth. HortTechnology 15:118-122. https://doi.org/10.21273/HORTTECH.15.1.0118