• Korean Journal of Remote Sensing
• /
• v.25 no.5
• /
• pp.411-421
• /
• 2009

This study refers to develop a semi-automatic extraction of agricultural land use and vegetation information using high resolution satellite images. Data of IKONOS-2 satellite images (May 25 of 2001, December 25 of 2001, and October 23 of 2003), QuickBird-2 satellite images (May 1 of 2006 and November 17 of 2004) and KOMPSAT-2 satellite image (September 17 of 2007) which resemble with the spatial resolution and spectral characteristics of KOMPSAT-3 were used. The precise agricultural land use classification was tried using ISODATA unsupervised classification technique, and the result was compared with on-screen digitizing land use accompanying with field investigation. For the extraction of crop growth information, three crops of paddy, com and red pepper were selected, and the spectral characteristics were collected during each growing period using ground spectroradiometer. The vegetation indices viz. RVI, NDVI, ARVI, and SAVI for the crops were evaluated. The evaluation process was developed using the ERDAS IMAGINE Spatial Modeler Tool.

• Korean Journal of Remote Sensing
• /
• v.38 no.6_1
• /
• pp.1489-1503
• /
• 2022

Drone and sensor technologies are enabling digitalization of agricultural crop's growth information and accelerating the development of the precision agriculture. These technologies could be able to assess damage of crops when natural disaster occurs, and contribute to the scientification of the crop insurance assessment method, which is being conducted through field survey. This study was aimed to calculate lodged damage rate from the vegetation indices extracted by drone based RGB images for soybean. Support Vector Classifier (SVC) models were considered by adding vegetation indices to the Crop Surface Model (CSM) based lodged damage rate. Visible Atmospherically Resistant Index (VARI) and Green Red Vegetation Index (GRVI) based lodged damage rate classification were shown the highest accuracy score as 0.709 and 0.705 each. As a result of this study, it was confirmed that drone based RGB images can be used as a useful tool for estimating the rate of lodged damage. The result acquired from this study can be used to the satellite imagery like Sentinel-2 and RapidEye when the damages from the natural disasters occurred.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.20 no.3
• /
• pp.90-103
• /
• 2017

This study analyzed the surface temperature characteristics of urban green spaces under high summer temperatures to clarify the functions of green spaces in reducing urban temperatures. We obtained accurate surface temperature data using highresolution unmanned aerial vehicle images of the survey site, which was an isolated green space in the city. We analyzed differences in the surface temperature by land cover type, vegetation type, species type, and the relationship between surface temperature and vegetation volume. Based on the results, among the land cover types, wetlands and forests had low temperatures and paving areas had very high temperatures. Regarding vegetation type, broad-leaved trees had lower temperatures than coniferous trees in forests. However, in planted areas, coniferous trees had lower temperatures than broad-leaved trees. The temperature of long grass was higher than that of short grass, which suggested that the volume of grass affected the temperature. Regarding forest species type, the temperature of broad-leaved Robinia pseudoacacia forest and mixed broad-leaved forest was lower than coniferous Pinus densiflora forest. There was a slight difference in temperature between R. pseudoacacia forest and mixed broad-leaved forest. The analysis of the relationship between vegetation volume and temperature by forest species type indicated a negative correlation, where the temperature decreased with increasing vegetation volume, similar to the results of previous studies. However, we found a weak positive correlation in R. pseudoacacia forest; therefore, an increase in volume may not reduce the surface temperature depending on the dominant species.

• Journal of Wetlands Research
• /
• v.20 no.2
• /
• pp.181-189
• /
• 2018

This study was performed to analyze the dynamics and distributional condition of biological community and to support the basic information about the estuarine ecosystem management by using the intensively surveyed results by each taxon experts around Tamjin river. We analyzed the biological diversity, abundance, correlation among species, and ecological characteristics about 11 taxa groups including vegetation, fish, birds, mammals, etc. in the Tamjin river estuarine ecosystem. We classified vegetation types into 7 physiognomic types and 18 communities according to habitat conditions with the physical environments and salinity. In total, 1125 species including 9 species of endangered species were identified in research area. The species composition and distributional characteristics of each taxon were corresponded to the environmental characteristics of the estuarine ecosystem. Especially, the species diversity and distribution were clearly distinguished in the river according to the difference of the environmental factors such as flow rate, salinity, and soil. Despite the disturbance factors such as barrage and levees, the biodiversity and its distribution were evaluated to be high level under the current environmental conditions. However, loss or reduction of wildlife habitat due to reclamation, embankment, barrage installation and expansion of farmland has been identified as a major threat to the diversity and health of the local ecosystem. The results of this study can be used as a basic data to cope with various development pressure and damage crisis of the whole estuaries including Tamjin river.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.52 no.5
• /
• pp.27-41
• /
• 2024

The current method of calculating the carbon stocks of Korea's forests is to multiply the forest standing crop by basic wood density, biomass expansion factor, and carbon fraction, but it does not sufficiently reflect forest vegetation. This study attempted to present a method of calculating carbon stocks using the biotope map and Biomass Allometric Equations for forests in Suji-gu, Yongin City. The biotope map is prepared every five years and contains detailed information on vegetation, including the actual vegetation and land cover status. The forest biotope of Suji-gu was extracted from the Yongin City biotope map, and the tree species, height, and breast height diameter of 24 representative types of forest vegetation sampled in Yongin City were analyzed in detail. To calculate the carbon stocks of trees and shrubs, the Biomass Allometric Equations developed by the National Institute of Forest Science was used, and to calculate the carbon stocks of shrubs, the previous research result of 0.457 kg per m² was applied. First, carbon storage was calculated for each types of forest vegetation sampled in Yongin City, and in order to apply this to the entire area, the 125 forest vegetation types in Suji-gu, Yongin City were retyped into 50. As a result, the Quercus mongolica community occupied the largest area, followed by the Pinus rigida community, the Quercus acutissima community, and the Quercus serrata community. The community with the highest carbon stocks per unit area (m²) was the Cornus controversa-Quercus mongolica community, and the community with the lowest was the oak-Betula dahurica community. The carbon stocks amount of forests in Suji-gu, Yongin City, calculated by applying the biotope map and Biomass Allometric Equations, was relatively higher than the carbon stocks amount calculated by multiplying existing forest standing crop by basic wood density, biomass expansion factor, and carbon fraction. This is because the currently officially used forest standing crop in Yongin City (144.44 m³/ha) does not sufficiently reflect the actual forest vegetation, and trees with a breast height diameter of less than 6 cm were excluded when surveying forest standing crop, resulting in a lower carbon stocks amount than the actual amount. This study complements the limitations of existing carbon stocks calculation methods by utilizing a biotope map with detailed information on vegetation, such as existing vegetation maps and land cover status, and a Biomass Allometric Equations developed by the National Institute of Forest Science, and provides higher precision when assessing carbon stocks of forests. It is meaningful in suggesting a method for calculating carbon stocks.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.21 no.4
• /
• pp.327-336
• /
• 2019

Soybean is one of the most important crops of which the grains contain high protein content and has been consumed in various forms of food. Soybean plants are generally cultivated on the field and their yield and quality are strongly affected by climate change. Recently, the abnormal climate conditions, including heat wave and heavy rainfall, frequently occurs which would increase the risk of the farm management. The real-time assessment techniques for quality and growth of soybean would reduce the losses of the crop in terms of quantity and quality. The objective of this work was to develop a simple model to estimate the growth of soybean plant using a multispectral sensor mounted on a rotor-wing unmanned aerial vehicle(UAV). The soybean growth model was developed by using simple linear regression analysis with three phenotypic data (fresh weight, dry weight, leaf area index) and two types of vegetation indices (VIs). It was found that the accuracy and precision of LAI model using GNDVI (R²= 0.789, RMSE=0.73 ㎡/㎡, RE=34.91%) was greater than those of the model using NDVI (R²= 0.587, RMSE=1.01 ㎡/㎡, RE=48.98%). The accuracy and precision based on the simple ratio indices were better than those based on the normalized vegetation indices, such as RRVI (R²= 0.760, RMSE=0.78 ㎡/㎡, RE=37.26%) and GRVI (R²= 0.828, RMSE=0.66 ㎡/㎡, RE=31.59%). The outcome of this study could aid the production of soybeans with high and uniform quality when a variable rate fertilization system is introduced to cope with the adverse climate conditions.

• Korean Journal of Remote Sensing
• /
• v.32 no.5
• /
• pp.483-497
• /
• 2016

Unmanned Aerial Vehicle (UAV) imagery are being assessed for analyzing within field spatial variability for agricultural precision management, because UAV imagery may be acquired quickly during critical periods of rapid crop growth. This study refers to the derivation of barley and wheat growth prediction equation by using UAV derived vegetation index. UAV imagery was taken on the test plots six times from late February to late June during the barley and wheat growing season. The field spectral reflectance during growing period for the 5 variety (Keunal-bori, Huinchalssal-bori, Saechalssal-bori, Keumkang and Jopum) were measured using ground spectroradiometer and three growth parameters, including plant height, shoot dry weight and number of tiller were investigated for each ground survey. Among the 6 Vegetation Indices (VI), the RVI, NDVI, NGRDI and GLI between measured and image derived showed high relationship with the coefficient of determination respectively. Using the field investigation data, the vegetation indices regression curves were derived, and the growth parameters were tried to compare with the VIs value.

• Korean Journal of Remote Sensing
• /
• v.35 no.6_2
• /
• pp.1107-1115
• /
• 2019

Satellite data play a major role in supporting knowledge about forest fire by delivering rapid information to map areas damaged. This study, we used 7 Sentinel-2A images to detect change area in forests of Sokcho on April 4, 2019. The process of classify forest fire severity used 7 levels from Sentinel-2A dNBR(differenced Normalized Burn Ratio). In the process of classifying forest fire damage areas, the study selected three areas with high regrowth of vegetation level and conducted a detailed spatial analysis of the areas concerned. The results of dNBR analysis, regrowth of coniferous forest was greater than broad-leaf forest, but NDVI showed the lowest level of vegetation. This is the error of dNBR classification of dNBR. The results of dNBR time series, an area of forest fire damage decreased to a large extent between April 20th and May 3rd. This is an example of the regrowth by developing rare-plants and recovering broad-leaf plants vegetation. The results showed that change area was detected through the change detection of danage area by forest category and the classification errors of the coniferous forest were reached through the comparison of NDVI and dNBR. Therefore, the need to improve the precision Korean forest fire damage rating table accompanied by field investigations was suggested during the image classification process through dNBR.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2009.05a
• /
• pp.1787-1791
• /
• 2009

지표수의 유출과정을 설명하는 과정에서 중요인자이며, 생태수문학의 핵심변수이자 기상모형의 중요한 입력변수인 토양수분의 공간적 시간적 특징들은 강우 및 지하수와 토양수분간의 순환 구조를 규명하는데 매우 중요하다. 가장 널리 쓰이는 토양 수분 측정 장비인 TDR 장비 매설에 앞서 대상유역 선정에 대한 여러 가지 고려사항을 검토하고 수치지형 분석 등을 통한 사전분석을 실시하였다. 대상유역을 선정하기 위해서는 대상유역의 자료획득의 용이함, 지정학적, 시스템 운영적 측면에서의 가용성, 그리고 정밀측량 및 부수적요인 등 여러 요소의 고려가 요구된다. 청미천 유역을 대상으로 약 21 개의 대상후보사면을 정밀조사 하였으며, 충청북도 음성군 수레의산 청소련 수련원내의 산지 사면을 측정대상 사면으로, 지정학적 위치, 식생분포, 지질구조 및 심도 등의 토양특성의 고려를 통해서 선정하였다. 또한 대상 사면에 흐름 발생 및 분포를 계산하기 위해서 대상사면의 지표 및 기반암 표고를 정밀 측량하였으며, 기반암 또는 풍화대까지의 깊이를 실측하여 지표면 및 지하면의 수치지형 모형을 구축하였다. 대상사면 및 지하면에 대하여 표고수치지형모형(Digital Elevation Model:DEM)으로 도식한 후 흐름 발생 공간 분포를 계산하였다. 다양한 흐름 발생 알고리즘으로 기여사면적과 지형습윤지수를 계산하였다. 분배알고리즘의 의해 도출된 지형인자들로 인한 흐름발생 공간적 분포특성을 비교하여 센서의 매설 위치를 결정하였다. 센서 매설 위치에 대한 토양시료를 채취하여 토성을 분석한 결과는 미국 농무성 기준에 의한 분류로는 사양토로, 국제토양학회의 분류기준에 따르면 양토로 분류되었다. 대상사면의 유효입력강우를 확보하기위해서 개방공간인 수레의산 청소년수련원과 대상산림의 Canopy하부에 각각 강수측정 시스템을 설치하였고 약 6개월간 성공적으로 자료를 획득하였다.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2004.04a
• /
• pp.299-302
• /
• 2004

최근에 상용화되어 있는 영상 중 가장 고해상도인 ikonos 영상은 공간해상도가 높기 때문에 더 많은 지형지물 정보를 포함하고 있다. 그러나 이러한 커다란 장점과 더불어 고층건물이나 높은 표고의 지형에서 발생하는 기복변위 보정이라는 소축척 영상에서 볼 수 없었던 새로운 문제가 등장하였다. 특히, 이러한 고해상도 영상들은 산악지역에서 식생에 대한 세밀한 정보를 제공하지만 상대적으로 높은 고도를 가지고 있기 때문에 발생하는 기복왜곡과 그림자 효과가 자료의 이용에 제한요인으로 작용하게 된다. 본 연구에서는 ikonos 고유의 센서정보와 수치지형도를 통하여 획득한 DEM(수치표고모델)을 이용하여 정밀편위보정방법(Difference rectification method) 방법에 의해 기하보정을 수행하고 그 결과 발생하는 산악지역에서는 기복변위를 분석하였다.