한국농림기상학회지, 제 2권 제1호(2000) (pISSN 1229-5671, eISSN 2288-1859)
Korean Journal of Agricultural and Forest Meteorology, Vol. 2, No. 1, (2000), pp. 9~15

RADARSAT과 Landsat TM자료를 이용한 벼 생육모니터링

홍석영, 임상규
농업과학기술원 토양관리과 원격탐사연구실

(2000년 02월 08일 접수)

Monitoring of Rice Growth by RADARSAT and Landsat TM data

Suk-Young Hong, Sang-Kyu Rim
RS Lab. Soil Management Div., National Institute of Agricultural Science and Technology (NIAST)
249 Seodun-dong, Kwonsun-gu, Suwon 441-707, KOREA

The objective of this study is to evaluate the use of RADARSAT and Landsat TM data for the monitoring of rice growth. The relationships between backscatter coefficients($\small{\sigma}$$\small{^{0}}$ ) of RADARSAT data and digital numbers (DN) of Landsat TM and rice growth parameters were investigated. Radar backscatter coefficients were calculated by calibration process and then compared with rice growth parameters; plant height, leaf area index (LAI), and fresh and dry biomass. When radar backscatter coefficient ($\small{\sigma}$$\small{^{0}}$ ) of rice was expressed as a function of time, it is shown that the increasing trend ranged from -22–20dB to -9–8dB as growth advances. The temporal variation of backscatter coefficient was significant to interpret rice growth. According to the relationship between leaf area index and backscatter coefficient, backscatter coefficient underestimated leaf area index at the beginning of life history and overestimated, at the reproductive stage. The same increasing trend between biomass and backscatter coefficient was shown. From these results, RADARSAT data appear positive to the monitoring of rice growth. Each band of time-series Landsat TM data had a significant trend as a rice crop grows during its life cycle. Spectral indices, NDVI[(TM4-TM3)/(TM4+TM3)] and RVI(TM4/TM2), derived from Landsat TM equivalent bands had the same trend as leaf area index.