1 |
Kwon, S.K., K.M. Kim, and J. Lim, 2021. A Study on Pre-evaluation of Tree Species Classification Possibility of CAS500-4 Using RapidEye Satellite Imageries, Korean Journal of Remote Sensing, 37(2): 291-304 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.2.9
DOI
|
2 |
Lee, H.S. and K.S. Lee, 2017. Effect of Red-edge Band to Estimate Leaf Area Index in Close Canopy Forest, Korean Journal of Remote Sensing, 33 (5-1): 571-585 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.1.10
DOI
|
3 |
Lee, K. and K. Kim, 2020. Validation of Surface Reflectance Product of KOMPSAT-3A Image Data Using RadCalNet Data, Korean Journal of Remote Sensing, 36(2-1): 167-178 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2020.36.2.1.6
DOI
|
4 |
Lee, K., K. Kim, S.G. Lee, and Y. Kim, 2020. Determination of the Normalized Difference Vegetation Index (NDVI) with Top-of-Canopy (TOC) reflectance from a KOMPSAT-3A image using Orfeo ToolBox (OTB) extension, ISPRS International Journal of Geo-Information, 9(4): 257. https://doi.org/10.3390/ijgi9040257
DOI
|
5 |
Main-Knorn, M. and B. Pflug, 2014. Comparative analysis of the atmospheric correction results for inter- and cross-sensor application in LUCC studies, Proc. of the 5th Workshop of the EARSeL Special Interest Group on Land Use and Land Cover, Berlin, Germany, Mar. 17-18.
|
6 |
Park, H.L., J.W. Choi, and S.K. Choi, 2014. Impervious Surface Mapping of Cheongju by Using RapidEye Satellite Imagery, Journal of the Korean Society for Geospatial Information System, 22(1): 71-79 (in Korean with English abstract). https://doi.org/10.7319/kogsis.2014.22.1.071
DOI
|
7 |
Planet Labs, 2022. Planet Imagery Product Specifications, https://assets.planet.com/docs/Planet_Combined_Imagery_Product_Specs_letter_screen.pdf, Accessed on May 23, 2022.
|
8 |
Chang, A.J., J.-W. Choi, A.-R. Song, Y.J. Kim, and J.H. Jung, 2015. Vicarious Radiometric Calibration of RapidEye Satellite Image Using CASI Hyperspectral Data, Journal of The Korean Society for Geospatial Information Science, 23(3): 3-10 (in Korean with English abstract). https://doi.org/10.7319/kogsis.2015.23.3.003
DOI
|
9 |
Coffer, M.M., B.A. Schaeffer, R.C. Zimmerman, V. Hill, J. Li, K.A. Islam, and P.J. Whitman, 2020. Performance across WorldView-2 and RapidEye for reproducible seagrass mapping, Remote Sensing of Environment, 250: 112036. https://doi.org/10.1016/j.rse.2020.112036
DOI
|
10 |
Kim, K. and K. Lee, 2020a. Validation of Surface Reflectance Product of KOMPSAT-3A Image Data: Application of RadCalNet Baotou (BTCN) Data, Korean Journal of Remote Sensing, 36(6-2): 1509-1521 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2020.36.6.2.3
DOI
|
11 |
Kim, K. and K. Lee, 2020b. A Validation Experiment of the Reflectance Products of KOMPSAT-3A Based on RadCalNet Data and Its Applicability to Vegetation Indexing, Remote Sensing, 12(23): 3971. https://doi.org/10.3390/rs12233971
DOI
|
12 |
Kim, K. and K. Lee, 2021b. An Implementation of Open Source-Based Software as a Service (SaaS) to Produce TOA and TOC Reflectance of HighResolution KOMPSAT-3/3A Satellite Image, Remote Sensing, 13(22): 4550. https://doi.org/10.3390/rs13224550
DOI
|
13 |
Kim, M., S. Jeong, J.M. Yeom, H.O. Kim, and J. Ko, 2016. Determination of rice canopy growth based on high resolution satellite images: a case study using RapidEye imagery in Korea, AIMS Environmental Science, 3(4): 631-645. https://doi.org/10.3934/environsci.2016.4.631
DOI
|
14 |
Cahalane, C., A. Magee, X. Monteys, G. Casal, J. Hanafin, and P. Harris, 2019. A comparison of Landsat 8, RapidEye and Pleiades products for improving empirical predictions of satellite-derived bathymetry, Remote Sensing of Environment, 233: 111414. https://doi.org/10.1016/j.rse.2019.111414
DOI
|
15 |
Harris Geospatial Solution, 2022. FLAASH Background, https://www.l3harrisgeospatial.com/docs/back groundflaash.html, Accessed on Feb. 20, 2022.
|
16 |
Kim, K. and K. Lee, 2021a. An Implementation of OTB Extension to Produce TOA and TOC Reflectance of LANDSAT-8 OLI Images and Its Product Verification Using RadCalNet RVUS Data, Korean Journal of Remote Sensing, 37(3): 449-461 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.3.7
DOI
|
17 |
Lee, K. and K. Kim, 2019. An Experiment for Surface Reflectance Image Generation of KOMPSAT 3A Image Data by Open Source Implementation, Korean Journal of Remote Sensing, 35(6-4): 1327-1339 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2019.35.6.4.3
DOI
|
18 |
Planet, 2022. Planet Surface Reflectance Version 2.0, https://assets.planet.com/marketing/PDF/Planet_Surface_Reflectance_Technical_White_Paper.pdf, Accessed on Feb. 20, 2022.
|
19 |
Kim, H.O., J.M. Yeom, and Y.S. Kim, 2011. The multitemporal characteristics of spectral vegetation indices for agricultural land use on RapidEye satellite imagery, Aerospace Engineering and Technology, 10(1): 149-155.
|
20 |
Lee, K.H. and J.M. Yum, 2019. A Review on Atmospheric Correction Technique Using Satellite Remote Sensing, Korean Journal of Remote Sensing, 35 (6-1): 1011-1030 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2019.35.6.1.11
DOI
|
21 |
SI Imaging Services, 2017. KOMPSAT-3A Image Data Manual v1.4, http://www.si-imaging.com/resources/?uid=337&mod=document, Accessed on Jul. 22, 2022.
|
22 |
Ustuner, M., F.B. Sanli, S. Abdikan, and M.T. Esetlili, 2014. Crop Type Classification using Vegetation Indices of Rapideye Imagery, The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(7): 195-198. https://doi.org/10.5194/isprsarchives-XL-7-195-2014
DOI
|
23 |
Seong, S.-K., S.-I. Na, and J.-W. Choi, 2020. Assessment of the FC-DenseNet for Crop Cultivation Area Extraction by Using RapidEye Satellite Imagery, Korean Journal of Remote Sensing, 36(5-1): 823-833 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2020.36.5.1.14
DOI
|