The real-time monitoring of surface vegetation is essential for the management of droughts, vegetation growth, and water resources. The availability of land cover maps based on remotely collected data makes the monitoring of surface vegetation easier. The vegetation index in an area is likely to be proportional to meteorological elements there such as air temperature and precipitation. This study investigated relationship between vegetation index based on Moderate Resolution Image Spectroradiometer (MODIS) and ground-measured meteorological elements at the Yongdam catchment station. To do this, 16-day averaged data were used. It was found that the vegetation index is well correlated to air temperature but poorly correlated to precipitation. The study provides some intuition and guidelines for the study of the droughts and ecologies in the future.

무안백련축제 주 무대인 무안군 일로읍 복용리 자생백련의 개화조절에 대한 기초 자료를 확보하기 위하여 개화특성 및 개화에 미치는 기상요인을 분석하였다. 무안 회산백련지에서 화경이 수면위로 출현되는 시기는 6월 8일(2002년)에서 6월 16일(2006년) 사이였다. 꽃이 처음으로 출현된 시기는 6월 18일(2002년)에서 6월 27일(2000년 및 2006년)사이였다. 첫 꽃 개화시기와 개화량의 최대기 간에는 정의 상관을 나타낸 반면에 화경 출현기와 첫 꽃 개화기 사이에는 상관을 나타내지 않았다. 개화량의 최대기는 평균기온, 일조시간 및 강수량과 상관을 나타내지 않았다. 이러한 결과는 백련의 내적요인 및 관리요인이 기상요인 보다 큰 영향을 미친 결과에 의한 것으로 추정된다. 따라서 개화에 미치는 구체적 요인에 대한 자료 확보를 위해서는 연근의 연령 등 내적요인과 수심관리, 굴취와 식재시기, 시비 등 관리요인에 대한 분석이 필요한 것으로 나타났다.

This study was conducted to investigate the relationships between yearly variations of climatic elements and yearly variations of productivity in sesame. In addition, correlation coefficients among yield and yield components were estimated. The data of yield and yield components were investigated for 10 years from 1992 to 2001. The meteorological data gathered at the Yeosu Weather Station for the same period were used to find out the relationships between climatic elements and productivity. Yearly variation of the amount of precipitation in July and September were large with coefficients of variation(c.v.) of 64.59, 92.47%, respectively, but the variation of the average temperature in June and August were relative small. Yield and plant height greatly with c. v. of 26.24, 23.41 %, respectively, 1, 000 grain weights show more or less c.v. of 3.83% and length capsule setting show still less variation. Correlation coefficients between maximun temperature in period of cultivation(from June to September) and yield are positively significant at the level of 5.1 %, respectively. Correlation coefficients amount the plant height, length capsule setting, number of capsules per plant, weight of 1, 000 grains and seed yield were positively significant at the level of 1 %, respectively. Simple linear regression equations by the least square method are estimated for number of capsules per plant(Y1) and the maximun temperature in August(X) as Y1=10.1255+0.1725X, and for yield(Y2) and the maximun temperature in August(X) as Y2=21.6151 + 1.3724X.