기후변화 시나리오를 고려한 위성영상 기반 미래 탄소흡수량 분포 추정

나상일 ( Sang-il Na ),안호용 ( Ho-yong Ahn ),류재현 ( Jae-hyun Ryu ),소규호 ( Kyu-ho So ),이경도 ( Kyung-do Lee ) 대한원격탐사학회 2021 大韓遠隔探査學會誌 Vol.37 No.5

탄소흡수량 산정 및 토지이용 변화에 대한 이해는 기후변화 연구에서 매우 중요하다. 기존의 연구에서는 토지이용 변화에 따른 탄소흡수량 산정에 원격탐사 기술이 사용되고 있으나 대부분 과거의 탄소흡수량 변화에 초점을 맞추고 있다. 따라서 미래 탄소흡수량 변화 예측 연구는 부족한 실정이다. 본 연구에서 CLUE-S 모형을 사용하여 토지이용 변화를 모의하고 기후변화 시나리오를 고려하여 미래 탄소흡수량의 변화를 예측하였다. 그 결과, RCP 4.5 및 8.5 시나리오에서 탄소흡수량은 각각 7.92, 13.02% 감소되는 것으로 예측되었다. 따라서 본 연구에서 제안한 방법은 다른 기후변화 시나리오를 고려한 미래 탄소흡수량 변화에도 적용이 가능할 것으로 기대된다. Quantification of carbon absorption and understanding the human induced land use changes forms one of the major study with respect to global climatic changes. An attempt study has been made to quantify the carbon absorption by land use changes through remote sensing technology. However, it focused on past carbon absorption changes. So prediction of future carbon absorption changes is insufficient. This study simulated land use change using the Conversion of Land Use and its Effects at Small regional extent (CLUE-S) model and predicted future changes in carbon absorption considering climate change scenarios 4.5 and 8.5 of the Representative Concentration Pathways (RCP). Results of this study, in the RCP 4.5 scenarios there predicted to be loss of 7.92% of carbon absorption, but in the RCP 8.5 scenarios was 13.02%. Therefore, the approach used in this study is expected to enable exploration of future carbon absorption change considering other climate change scenarios.

드론 기반 초분광 영상을 이용한 배추 단수 추정의 최적밴드 선정

나상일 ( Sang-il Na ),박찬원 ( Chan-won Park ),소규호 ( Kyu-ho So ),안호용 ( Ho-yong Ahn ),이경도 ( Kyung-do Lee ) 대한원격탐사학회 2019 大韓遠隔探査學會誌 Vol.35 No.3

The use of drone-based hyperspectral image offers considerable advantages in high resolution remote sensing applications. The primary objective of this study was to select the optimal bands based on hyperspectral image for the estimation yield of the chinese cabbage. The hyperspectral narrow bands were acquired over 403.36 to 995.19 nm using a 3.97 nm wide, 150 bands, drone-based hyperspectral imaging sensor. Fresh weight data were obtained from 2,031 sample for each field survey. Normalized difference vegetation indices were computed using red, red-edge and near-infrared bands and their relationship with quantitative each fresh weights were established and compared. As a result, predominant proportion of fresh weights are best estimated using data from three narrow bands, in order of importance, centered around 697.29 nm (red band), 717.15 nm (red-edge band) and 808.51 nm (near-infrared band). The study determined three spectral bands that provide optimal chinese cabbage productivity in the visible and near-infrared portion of the spectrum.

드론 기반의 재배관리 지도 제작 및 활용방안 - 봄배추를 대상으로 -

나상일 ( Sang-il Na ),이윤호 ( Yun-ho Lee ),류재현 ( Jae-hyun Ryu ),이동호 ( Dong-ho Lee ),신형섭 ( Hyoung-sub Shin ),김서준 ( Seo-jun Kim ),조재일 ( Jaeil Cho ),박종화 ( Jong-hwa Park ),안호용 ( Ho-yong Ahn ),소규호 ( Kyu-ho So ) 대한원격탐사학회 2021 大韓遠隔探査學會誌 Vol.37 No.3

영농계획 수립 지원을 위해서는 대상작물의 작황 변화에 대한 선제적 평가 및 정밀한 정보 제공이 중요하다. 따라서 드론을 이용한 과학적이고 지속적인 관측을 통해 영농단계별 의사결정에 필요한 맞춤형 정보 제공 기술이 필요하다. 본 연구는 노지채소에 대한 영농계획 수립을 지원하기 위하여 수행하였다. 재배관리 지도의 각각의 정보들은 선행연구를 바탕으로 포장출현 지도, 스트레스 평가 지도 및 생산성 평가 지도와 같이 세가지 종류로 제작되었으며, 3차원 기반의 객체단위로 정보가 제공되어 포장내 공간적 변이를 잘 반영하는 것으로 나타났다. 따라서 재배관리 지도는 결주 지점 파악, 보식 여부 판단, 시비, 제초 및 방제, 관수시설 위치, 기간 및 조건 설정, 상품성 평가, 우선 수확지점 선정, 수확시기, 소요시간 및 비용 산정 등에 활용될 수 있을 것으로 기대된다. In order to support the establishment of a farming plan, it is important to preemptively evaluate crop changes and to provide precise information. Therefore, it is necessary to provide customized information suitable for decision-making by farming stage through scientific and continuous monitoring using drones. This study was carried out to support the establishment of the farming plan for ground vegetable. The cultivation management map of each information was obtained from preliminary study. Three cultivation management maps include ‘field emergence map’, ‘stress map’ and ‘productivity map’ reflected spatial variation in the plantation by providing information in units of plants based on 3- dimensions. Application fields of the cultivation management map can be summarized as follows: detect miss-planted, replanting decision, fertilization, weeding, pest control, irrigation schedule, market quality evaluation, harvest schedule, etc.

에지 기반 고속 지평선 검출 알고리즘

나상일(Sang-Il Na),이웅호(Woong-Ho Lee),서동진(Dong-Jin Seo),이웅희(Woong-Hee Lee),정동석(Dong-Seok Jeong) 대한전자공학회 2003 대한전자공학회 학술대회 Vol.2003 No.11

청주 북부지역의 토지이용 매핑과 변화탐지

나상일 ( Na Sang-il ),박종화 ( Park Jong-hwa ),신형섭 ( Shin Hyoung-sup ) 한국농공학회 2008 한국농공학회논문집 Vol.50 No.3

Land-use in northern Cheongju region is changing rapidly because of the increased interactions of human activities with the environment as population increases. Land-use change detection is considered essential for monitoring the growth of an urban complex. The analysis was undertaken mainly on the basis of the multi-temporal Landsat images (1991, 1992 and 2000) and DEM data in a post-classification analysis with GIS to map land-use distribution and to analyse factors influencing the land-use changes for Cheongju city. The area of each land-use category was also calculated for monitoring land-use changes. Land-use statistics revealed that substantial land-use changes have taken place and that the built-up areas have expanded by about 17.57㎢ (11.47%) over the study period (1991 - 2000). This study illustrated an increasing trend of urban and barren lands areas with a decreasing trend of agricultural and forest areas. Land-use changes from one category to others have been clearly represented by the NDVI composite images, which were found suitable for delineating the development of urban areas and land use changes in northern Cheongju region. Rapid economic developments together with the increasing population were noted to be the major factors influencing rapid land use changes. Urban expansion has replaced urban and barren lands.

RADARSAT-2 SAR를 이용한 서산 및 평양 지역의 벼 생육 모니터링 적용성 평가 -RapidEye와의 비교를 통해-

나상일,홍석영,김이현,이경도,Na, Sang Il,Hong, Suk Young,Kim, Yi Hyun,Lee, Kyoung Do 한국농공학회 2014 한국농공학회논문집 Vol.56 No.5

Radar remote sensing is appropriate for rice monitoring because the areas where this crop is cultivated are often cloudy and rainy. Especially, Synthetic Aperture Radar (SAR) can acquire remote sensing information with a high temporal resolution in tropical and subtropical regions due to its all-weather capability. This paper analyzes the relationships between backscattering coefficients of rice measured by RADARSAT-2 SAR and growth parameters during a rice growth period. And we applied the relationships to crop monitoring of paddy rice in North Korea. As a result, plant height and Leaf Area Index (LAI) increased until Day Of Year (DOY) 234 and then decreased, while fresh weight and dry weight increased until DOY 253. Correlation coefficients revealed that Horizontal transmit and Horizontal receive polarization (HH)-polarization backscattering coefficients were correlated highly with plant height (r=0.95), fresh weight (r=0.92), vegetation water content (r=0.91), LAI (r=0.90), and dry weight (r=0.89). Based on the observed relationships between backscattering coefficients and variables of cultivation, prediction equations were developed using the HH-polarization backscattering coefficients. Concerning the evaluation for the applicability of the LAI distribution from RADARSAT-2, the LAI statistic was evaluated in comparison with LAI distribution from RapidEye image. And LAI distributions in Pyongyang were presented to show spatial variability for unaccessible areas.

Assessment of the Urban Heat Island Effects with LANDSAT and KOMPSAT-2 Data in Cheongju

나상일,박종화,Na, Sang-Il,Park, Jong-Hwa Institute of Agricultural Science 2012 Korean Journal of Agricultural Science Vol.39 No.1

Land surface temperature (LST) is an important factor in human health, thermal environment, heat balance, global change studies, and as control for climate change. The objective of this study was to assess the influence of Urban Heat Island (UHI) Effects on the LST and NDVI in Cheongju, Korea. The aim was to evaluate the effect of urban thermal environment for LST comparison of satellite-derived and in situ measured temperature. In this study, LANDSAT TM and KOMPSAT scene were used. The results indicated that the minimum LST is observed over dense forest as about $21{\sim}25^{\circ}C$ and maximum LST is observed over industrial area of about $28{\sim}32^{\circ}C$. The estimated LST showed that industrial area, bare soils and built-up areas exhibit higher surface temperatures, while forest, water bodies, agricultural croplands, and dense vegetations have lower surface temperatures during the summer daytime. Result corroborates the fact that LST over land use/land cover (LULC) types are greatly influenced by the amount of vegetation and water bodies present. The LST of industrial area and urban center is higher than that of suburban area, so it is clearly proved that there are obvious UHIE in Cheongju.

Landsat ETM+영상의 지표면온도와 NDVI 공간을 이용한 광역 증발산량의 도면화

나상일 ( Na Sang-il ),박종화 ( Park Jong-hwa ) 한국농공학회 2008 한국농공학회논문집 Vol.50 No.3

Evapotranspiration mapping using both meteorological ground-based measurements and satellite-derived information has been widely studied during the last few decades and various methods have been developed for this purpose. It is significant and necessary to estimate regional evapotranspiration (ET) distribution in the hydrology and water resource research. The study focused on analyzing the surface ET of Chungbuk region using Landsat 7 ETM imagery. For this process, we estimated the regional daily evapotranspiration on May 8, 2000. The estimation of surface evapotranspiration is based on the relationship between Temperature Vegetation Dryness Index (TVDI) and Morton's actual ET. TVDI is the relational expression between Normalized Difference of Vegetation Index (NDVI) and Land Surface Temperature (LST). The distribution of NDVI corresponds well with that of land-use/land cover in Chungbuk. The LST of several part of city in Chungbuk region is higher in comparison with the averaged LST. And TVDI corresponds too well with that of land cover/land use in Chungbuk region. The low evapotranspiration availability is distinguished over the large city like Cheongju-si, Chungju-si and the difference of evapotranspiration availability on forest and paddy is high.

동영상 변형에 강인한 프레임 서술자 설계

나상일(Sang-il Na),임예은(Ye-Eun Lim),제성관(Sung Kwan Je),오원근(Weon-Geun Oh),정동석(Dong-Seok Jeong) 대한전자공학회 2010 대한전자공학회 학술대회 Vol.2010 No.6

In general, two types of informations are used for content-based video copy detection: spatial information and temporal information. The spatial information means content-based image fingerprint. This image fingerprint must have following characteristic. First, extraction is simple. Second, pair-wise independence for random selected two images. At last, robust for modifications. This paper suggest image figerprint designing method for contents based video copy detection.

국내 작황 모니터링을 위한 무인항공기 적용방안

나상일 ( Sang-il Na ),박찬원 ( Chan-won Park ),소규호 ( Kyu-ho So ),안호용 ( Ho-yong Ahn ),이경도 ( Kyung-do Lee ) 대한원격탐사학회 2018 大韓遠隔探査學會誌 Vol.34 No.5

작황 모니터링은 농민들에게 최적의 작물 생산을 위한 농작업 관리 전략을 수립하는데 유용한 정보를 제공할 수 있다. 그러나 시료 채취에 의한 분석 등에 한정된 기존의 현장 모니터링 방법은 많은 시간과 노동력이 필요하다. 무인항공기는 고해상도 이미지를 신속하고 정기적으로 취득할 수 있는 장점이 있기 때문에 재배면적, 생육인자, 생육이상 및 생산량 추정 등과 같은 작황 모니터링 분야에 효과적으로 활용될 수 있다. 또한, 위성과 비교하여 비행 고도가 낮아 흐린 날씨에서도 높은 화질의 영상을 수집할 수 있다. 본 연구는 작황 모니터링 분야에서의 무인항공기 활용 가능성을 검토하고 무인항공기 기반의 작황 정보 생산을 위한 적용방안을 제시하고자 하였다. Crop monitoring can provide useful information for farmers to establish farm management strategies suitable for optimum production of vegetables. But, traditional monitoring has used field measurements involving destructive sampling and laboratory analysis, which is costly and time consuming. Unmanned Aerial vehicle (UAV) could be effectively applied in a field of crop monitoring for estimation of cultivated area, growth parameters, growth disorder and yield, because it can acquire high-resolution images quickly and repeatedly. And lower flight altitude compared with satellite, UAV can obtain high quality images even in cloudy weather. This study examined the possibility of utilizing UAV in the field of crop monitoring and was to suggest the application method for production of crop status information from UAV.