지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Since the use of UAV (Unmanned Aerial Vehicle) is convenient for the acquisition of data on broad or inaccessible regions, it is nowadays used to establish spatial information for various fields, such as the environment, ecosystem, forest, or for military purposes. In this study, the process of estimating FVC (Fractional Vegetation Cover), based on multi-spectral UAV, to overcome the limitations of conventional methods is suggested. Hence, we propose that the FVC map is generated by using multi-spectral imaging. First, two types of result classifications were obtained based on RF (Random Forest) using RGB images and NDVI (Normalized Difference Vegetation Index) with RGB images. Then, the result map was reclassified into vegetation and nonvegetation. Finally, an FVC map-based RF were generated by using pixel calculation and FVC map-based GI (Gutman and Ignatov) model were indirectly made by fixed parameters. The method of adding NDVI shows a relatively h igher a ccuracy compared t o t hat of a dding only RGB, a nd i n particular, t he GI model shows a lower RMSE (Root Mean Square Error) with 0.182 than RF. In this regard, the availability of the GI model which uses only the values of NDVI is higher than that of RF whose accuracy varies according to the results of classification. Our results showed that the GI mode ensures the quality of the FVC if the NDVI maintained at a uniform level. This can be easily achieved by using a UAV, which can provide vegetation data to improve the estimation of FVC.
목차
Abstract
1. Introduction
2. Material and Methods
3. Fractional Vegetation Cover Processing and Analysis
4. Results and Discussion
5. Conclusion
References
참고문헌 (33)
참고문헌 신청
[학술지(정기간행물)] - Anderson, K / 2013 / Lightweight unmanned aerial vehicles will revolutionize spatial ecology / Frontiers in Ecology and the Environment 11 (3) : 138 ~ 146
[학술지(정기간행물)] - Bendig, J. / 2015 / Combining UAVbased plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley / International Journal of Applied Earth Observation and Geoinformation 39 : 79 ~ 87
[학술지(정기간행물)] - Bryson, M. / 2010 / Airborne vision-based mapping and classification of large farmland environments / Journal of Field Robotics 27 (5) : 632 ~ 655
[학술지(정기간행물)] - 최석근 / 2014 / Landsat 8 OLI영상의 NDVI를 이용한 식생피복지수 분석 / 한국측량학회지 32 (1) : 9 ~ 17
[학술지(정기간행물)] - Delegido, J. / 2013 / A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems / European Journal of Agronomy 46 : 42 ~ 52
[학술지(정기간행물)] - Bendig, J. / 2015 / Combining UAVbased plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley / International Journal of Applied Earth Observation and Geoinformation 39 : 79 ~ 87
[학술지(정기간행물)] - Bryson, M. / 2010 / Airborne vision-based mapping and classification of large farmland environments / Journal of Field Robotics 27 (5) : 632 ~ 655
[학술지(정기간행물)] - 최석근 / 2014 / Landsat 8 OLI영상의 NDVI를 이용한 식생피복지수 분석 / 한국측량학회지 32 (1) : 9 ~ 17
[학술지(정기간행물)] - Delegido, J. / 2013 / A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems / European Journal of Agronomy 46 : 42 ~ 52
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UCI(KEPA) : I410-ECN-0101-2017-533-001142364