Analysis of UAV-based Multispectral Reflectance Variability for Agriculture Monitoring |
Ahn, Ho-yong
(Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Na, Sang-il (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration) Park, Chan-won (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration) Hong, Suk-young (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration) So, Kyu-ho (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration) Lee, Kyung-do (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration) |
1 | Lee, K. D., C. W. Park, K. H. So, and S. I. Na, 2017a. Selection optimal vegeation indices and regression model for estimation of rice growth using UAV aerial images, Korean Journal of Soil Science and Fertilizer, 50(5): 409-421 (in Korean with English abstract). DOI |
2 | Lee, K. D., C. W. Park, K. H. So, K. D. Kim, and S. I. Na. 2017b. Characteristics of UAV aerial images for monitoring of highland Kimchi cabbage, Korean Journal of Soil Science and Fertilizer, 50(3): 162-178 (in Korean with English abstract). DOI |
3 | Lee, H. S., W. W. Seo, C. S. Woo, and K. S. Lee, 2019a. Derivation and evaluation of surface reflectance from UAV multispectral image for monitoring forest vegetation, Korean Journal of Remote Sensing, 35(6-2): 1149-1160 (in Korean with English abstract). DOI |
4 | Lee, K. D., H. Y. An, C. W. Park, K. H. So, S. I. Na, and S. Y. Jang, 2019b. Estimation of rice grain yield distribution using UAV imagery, Journal of the Korean Society of Agricultural Engineers, 61(4): 1-10 (in Korean with English abstract). DOI |
5 | Lee, K. D., S. M. Kim, H. Y. An, C. W. Park, S. Y. Hong, K. H. So, and S. I. Na, 2020a. Yearly estimation of rice growth and bacterial leaf blight inoculation effect using UAV imagery, Journal of the Korean Society of Agricultural Engineers, 62(4): 75-86 (in Korean with English abstract). DOI |
6 | Lee, K. D., S. I. Na, C. W. Park, S. Y. Hong, K. H. So, and H. Y. An, 2020b. Diurnal Change of Reflectance and Vegetation Index from UAV Image in Clear Day Condition, Korean Journal of Remote Sensing, 36(5-1): 735-747 (in Korean with English abstract). DOI |
7 | Mamaghani, B. and C. Salvaggio, 2019. Multispectral sensor calibration and characterization for sUAS remote sensing, Sensors, 19(20): 4453. DOI |
8 | Na, S. I., C. W. Park, and K. D. Lee, 2016a. Application of highland kimchi cabbage status map for growth monitoring based on unmanned aerial vehicle, Korean Journal of Soil Science and Fertilizer, 49(5): 469-479 (in Korean with English abstract). DOI |
9 | Aasen, H., A. Burkart, A. Bolten, and G. Bareth, 2015. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance, ISPRS Journal of Photogrammetry and Remote Sensing, 108(2015): 245-259. DOI |
10 | Na, S. I., S. Y. Hong, C. W. Park, K. D. Kim, and K. D. Lee, 2016b. Estimation of highland kimchi cabbage growth using UAV NDVI (Normalized difference vegetation index) and agrometeorological factors, Korean Journal of Soil Science and Fertilizer, 49(5): 420-428 (in Korean with English abstract). DOI |
11 | Anderson, C., 2017. The drone economy, Harvard Business Publishing, Brighton, MA, USA. |
12 | Assmann, J. J., J. T. Kerby, A. M. Cunliffe, and I. H. Myers-Smith, 2018. Vegetation monitoring using multispectral sensors-Best practices and lessons learned from high latitudes. Journal of Unmanned Vehicle Systems, 7(1): 54-75. DOI |
13 | Cao, S., B. Danielson, S. Clare, S. Koenig, C. Campos-Vargas, and A. Sanchez-Azofeifa, 2019. Radiometric calibration assessments for UAS-borne multispectral cameras: Laboratory and field protocols, ISPRS Journal of Photogrammetry and Remote Sensing, 149: 132-145. DOI |
14 | Chavez Jr, P. S., 1988. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data, Remote sensing of environment, 24(3): 459-479. DOI |
15 | Jang, S. H., C. S. Ryu, Y. S. Kang, S. R. Jun, J. W. Park, H. Y. Song, K. S. Kang, D. W. Kang, K. Zou, and T. H. Jun, 2019. Estimation of fresh weight, dry weight, and leaf area index of soybean plant using multispectral camera mounted on rotor-wing UAV, Korean Journal of Agricultural and Forest Meteorology, 21(4): 327-336 (in Korean with English abstract). DOI |
16 | Deng, L., Z. Mao, X. Li, Z. Hu, F. Duan, and Y. Yan, 2018. UAV-based multispectral remote sensing for precision agriculture: A comparison between different camera, ISPRS Journal of Photogrammetry and Remote Sensing, 146: 124-136. DOI |
17 | Fawcett, D., C. Panigada, G. Tagliabue, M. Boschetti, M. Celesti, A. Evdokimov, K. Biriukova, R. Colombo, F. Miglietta, U. Rasher, and K. Anderson. 2020. Multi-scale evaluation of drone-based multispectral surface reflectance and vegetation indices in operation conditions, Remote Sensing, 12(3): 514. DOI |
18 | Galvao, L. S., I. Vitorello, and R. Almeida, 1999. Effects of band positioning and bandwidth NDVI (Normalized difference vegetation index) measurements of tropical savannas, Remote Sensing of Enviroment, 67: 181-193. DOI |
19 | Guo, Y., J. Senthilnath, W. Wu, X. Zhang, Z. Zeng, and H. Huang, 2019. Radiometric calibration for multispectral camera of different imaging conditions mounted on a UAV platform, Sustainability, 11(4): 978. DOI |
20 | Hashimoto, N., Y. Saito, M. Maki, and K. Homma, 2019. Simulation of Reflectance and Vegetation Indices for Unmanned Aerial Vehicle (UAV) Monitoring of Paddy Fields, Remote Sensing, 11(18): 2119 DOI |
21 | Lee, K. D., S. I. Na, S. C. Baek, K. D. Park, J. S. Choi, S. J. Kim, H. J. Kim, H. S. Choi, and S. Y. Hong, 2015. Estimating the amount of nitrogen in hairy vetch on paddy fields using unmanned aerial vehicle imagery, Korean Journal of Soil Science and Fertilizer, 48(5): 384-390 (in Korean with English abstract). DOI |
22 | Na, S. I., B. K. Min, C. W. Park, K. H. So, J. M. Park, and K. D. Lee, 2017a. Development of field scale model for estimating garlic growth based on UAV NDVI and meteorological factors, Korean Journal of Soil Science and Fertilizer, 50(5): 422-433 (in Korean with English abstract). DOI |
23 | Na, S. I., C. W. Park, K. H. So, J. M. Park, and K. D. Lee, 2017b. Monitoring onion growth using UAV NDVI (Normalized difference vegetation index) and meteorological factors, Korean Journal of Soil Science and Fertilizer, 50(4): 306-317 (in Korean with English abstract). DOI |
24 | Park, J. K. and J. H. Park, 2015. Crops classification using imagery of unmanned aerial vehicle (UAV), Journal of the Korean Society of Agricultural Engineers, 57(6): 91-97 (in Korean with English abstract). DOI |
25 | Richards, J. A., 2013. Remote Sensing Digital Image Analysis, Springer, Berlin GER. |
26 | Teal Group., 2012. Worldwide UAS market will total $89 billionin 10 years, http://tinyurl.com/l9hav8g, Accessed on Nov. 21, 2020. |
27 | Tomas, J. R. and H. W. Gausman, 1977. Leat reflectance vs. leaf chlorophyll and carotenoid concentrations for eight crops 1, Agronomy Journal, 69(5): 799-802. DOI |
28 | Yun, H. S., S. H. Park, H. J. Kim, W. D. Lee, K. D. Lee, S. Y. Hong, and G. H. Jung, 2016. Use of unmanned aerial vehicle for multi-temporal monitoring of soybean vegetation fraction, Journal of Biosystems Engineering, 41(2): 126-137. DOI |
29 | Lee, K. D., Y. E. Lee, C. W. Park, S. Y. Hong, and S. I. Na, 2016. Study on reflectance and NDVI (Normalized difference vegetation index) of aerial images using a fixed-wing UAV "Ebee", Korean Journal of Soil Science and Fertilizer, 49(6): 731-742 (in Korean with English abstract). DOI |