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• Korean Journal of Remote Sensing
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• 2021

Land Surface Temperature (LST) is one of the useful parameters to diagnose the growth and development of crop and to detect crop stress. Unmanned Aerial Vehicle (UAV)-based LST (LSTUAV) can be estimated in the regional spatial scale due to miniaturization of thermal infrared camera and development of UAV. Given that meteorological variable, type of instrument, and surface condition can affect the LSTUAV, the evaluation for accuracy of LSTUAV is required. The purpose of this study is to evaluate the accuracy of LSTUAV using LST measured at ground (LSTGround) under various meteorological conditions and growth phases of garlic crop. To evaluate the accuracy of LSTUAV, Relative humidity (RH), absolute humidity (AH), gust, and vegetation index were considered. Root mean square error (RMSE) after minimizing the bias between LSTUAV and LSTGround was 2.565℃ under above 60% of RH, and it was higher than that of 1.82℃ under the below 60% of RH. Therefore, LSTUAV measurement should be conducted under the below 60% of RH. The error depending on the gust and surface conditions was not statistically significant (p-value < 0.05). LSTUAV had reliable accuracy under the wind speed conditions that allow flight and reflected the crop condition. These results help to comprehend the accuracy of LSTUAV and to utilize it in the agriculture field.

• Electric Engineers Magazine
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• v.228 no.8
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• pp.58-63
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• 2001

낮시간에 창이 있는 장소에서는 주광의 입사로 제법 높은 조도가 얻어지면 그의 정도는 기상조건이나 건물 및 창의 구조, 실내조건 등에 따라서도 변화한다. 따라서 변화하는 외광의 밝음을 실내에 설치된 주광센서로 검지하여 창가에 있는 일정범위내의 조명기구를 자동적으로 점멸 제어하여 전력절감을 도모하는 것이다.