• 한국측량학회지
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• 제34권4호
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• pp.431-441
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• 2016

Since the use of UAV (Unmanned Aerial Vehicle) is convenient for the acquisition of data on broad or inaccessible regions, it is nowadays used to establish spatial information for various fields, such as the environment, ecosystem, forest, or for military purposes. In this study, the process of estimating FVC (Fractional Vegetation Cover), based on multi-spectral UAV, to overcome the limitations of conventional methods is suggested. Hence, we propose that the FVC map is generated by using multi-spectral imaging. First, two types of result classifications were obtained based on RF (Random Forest) using RGB images and NDVI (Normalized Difference Vegetation Index) with RGB images. Then, the result map was reclassified into vegetation and non-vegetation. Finally, an FVC map-based RF were generated by using pixel calculation and FVC map-based GI (Gutman and Ignatov) model were indirectly made by fixed parameters. The method of adding NDVI shows a relatively higher accuracy compared to that of adding only RGB, and in particular, the GI model shows a lower RMSE (Root Mean Square Error) with 0.182 than RF. In this regard, the availability of the GI model which uses only the values of NDVI is higher than that of RF whose accuracy varies according to the results of classification. Our results showed that the GI mode ensures the quality of the FVC if the NDVI maintained at a uniform level. This can be easily achieved by using a UAV, which can provide vegetation data to improve the estimation of FVC.

• 한국지리정보학회지
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• 제20권3호
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• pp.90-103
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• 2017

본 연구는 도심온도 저감을 위한 녹지의 기능을 규명하기 위하여 여름철 고온 시간대에 도심녹지에서 나타나는 표면온도 특성을 분석하였다. 도시 내 고립된 녹지인 익산 소라산 자연마당을 대상으로 고해상도 UAV 영상을 활용하여 정밀한 표면온도 자료를 취득하였고, 피복유형, 식생유형, 수종유형, 수종별 녹지용적과 표면온도와의 관계를 분석하였다. 연구결과 피복유형 중 습지와 산림은 저온역, 포장지는 표면온도가 월등히 높은 고온역으로 확인되었다. 식생유형에서는 산림 내 침엽수보다 활엽수의 표면온도가 낮았고, 조경수식재지 내에선 활엽수보다 침엽수의 표면온도가 낮은 반대의 결과가 확인되었다. 장초지보다 단초지의 표면온도가 높아 초지의 용적에 따른 온도차이가 확인되었다. 산림수종유형별 표면온도는 침엽수인 소나무림보다 활엽수인 아까시나무림과 활엽수혼효림의 표면온도가 낮았고, 활엽수혼효림과 아까시나무림간의 미세한 표면온도 차이가 확인되었다. 산림수종유형별 녹지용적과 표면온도 분석결과 소나무림과 활엽수혼효림에서는 기존 연구 결과와 유사하게 녹지용적 증가에 따라 표면온도가 감소하는 음의상관관계가 확인되었다. 그러나 아까시나무림은 용적의 증가에 따라 미세하게 표면온도가 상승하는 약한 양의상관관계가 확인되어 수종에 따라서는 용적과 온도의 일관된 상관성에 예외가 있을 수 있음을 확인하였다. 향후 침엽수와 활엽수간 차이, 용적과 온도의 관계, 수종별 차이 등 녹지의 세부적 속성과 온도의 관계에 관하여 정밀한 공간자료를 활용한 다각적인 연구가 계속되어야 할 것으로 판단된다.

• Geomechanics and Engineering
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• 제17권5호
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• pp.475-483
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• 2019

Vegetation cover plays a vital role in stabilizing the soil structure, thereby contributing to surface erosion control. Surface vegetation acts as a shelterbelt that controls the flow velocity and reduces the kinetic energy of the water near the soil surface, whereas vegetation roots reinforce the soil via the formation of root-particle interactions that reduce particle detachment. In this study, two vegetation-testing trials were conducted. The first trial was held on cool-season turfgrasses seeded in a biopolymer-treated site soil in an open greenhouse. At the end of the test, the most suitable grass type was suggested for the second vegetation test, which was conducted in an environmental control chamber. In the second test, biopolymers, namely, starch and xanthan gum hydrogels (pure starch, pure xanthan gum, and xanthan gum-starch mixtures), were tested as soil conditioners for improving the water-holding capacity and vegetation growth in sandy soils. The results support the possibility that biopolymer treatments may enhance the survival rate of vegetation under severe drought environments, which could be applicable for soil stabilization in arid and semiarid regions.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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• pp.116-121
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• 1998

Global land related datasets such as land use, land cover, vegetation cover percentage, forest cover percentage, are part of important global geospatial environmental datasets for global change studies. Since land cover varies place by place, continental production of dataset is a usual approach. Western academically developed countries have some projects to describe land cover related information in digital form using remote sensing technology in African, American continent and Oceania. In this paper, the author introduce his initiative to coordinate Asian scientists in order to develop land related dataset of Asia for our better understanding of the environment of Asia and for contribution to the development of global dataset. This paper explains activities by Land Cover Working Group (LCWG) of the Asian Association on Remote Sensing(AARS), Data and Information System(DIS) sub-committee of Japan national committee for the International Geosphere and Biosphere Program(IGBP), and the International Society for Photogrammetry and Remote Sensing(ISPRS) Working Group IV/6 on Global databases supporting environmental monitoring.

• 대한원격탐사학회지
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• 제19권5호
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• pp.381-392
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• 2003

Multi-temporal approaches using sequential data acquired over multiple years are essential for satisfactory discrimination between many land-cover classes whose signatures exhibit seasonal trends. At any particular time, the response of several classes may be indistinguishable. A harmonic model that can represent seasonal variability is characterized by four components: mean level, frequency, phase and amplitude. The trigonometric components of the harmonic function inherently contain temporal information about changes in land-cover characteristics. Using the estimates which are obtained from sequential images through spectral analysis, seasonal periodicity can be incorporates into multi-temporal classification. The Normalized Difference Vegetation Index (NDVI) was computed for one week composites of the Advanced Very High Resolution Radiometer (AVHRR) imagery over the Korean peninsula for 1996 ～ 2000 using a dynamic technique. Land-cover types were then classified both with the estimated harmonic components using an unsupervised classification approach based on a hierarchical clustering algorithm. The results of the classification using the harmonic components show that the new approach is potentially very effective for identifying land-cover types by the analysis of its multi-temporal behavior.

• 한국토양비료학회지
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• 제43권3호
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• pp.260-267
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• 2010

As sloped farmland is subject to runoff and soil erosion and consequently require appropriate vegetative coverage to conserve soil and water, a field study was carried out to evaluate the impact of crop canopy coverage on soil loss and runoff from the experimental plot with three different textural types (clay loam, loam, and sandy loam). The runoff and soil loss were examined at lysimeters with 15% slope, 5 m in length, and 2 m in width for five months from May to September 2009 in Suwon ($37^{\circ}$ 16' 42.67" N, $126^{\circ}$ 59' 0.11" E). Red pepper (Capsicum annum L. cv. Daechon) seedlings were transplanted on three different dates, May 4 (RP1), 15 (RP2), and 25 (RP3) to check vegetation coverage. During the experimental period, the vegetation coverage and plant height were measured at 7 day-intervals and then the 'canopy cover subfactor' (an inverse of vegetation cover) was subsequently calculated. After each rainfall ceased, the amounts of soil loss and runoff were measured from each plot. Under rainfall events >100 mm, both soil loss and runoff ratio increased with increasing canopy cover subfactor ($R^2$=0.35, p<0.01, $R^2$=0.09, p<0.1), indicating that as vegetation cover increases, the amount of soil loss and runoff reduces. However, the soil loss and runoff were depending on the soil texture and rainfall intensity (i. e., $EI_{30}$). The red pepper canopy cover subfactor was more highly correlated with soil loss in clay loam ($R^2$=0.83, p<0.001) than in sandy loam ($R^2$=0.48, p<0.05) and loam ($R^2$=0.43, p<0.1) plots. However, the runoff ratio was effectively mitigated by the canopy coverage under the rainfall only with $EI_{30}$<1000 MJ mm $ha^{-1}hr^{-1}$ ($R^2$=0.34, p<0.05). Therefore, this result suggested that soil loss from the red pepper field could be reduced by adjusting seedling transplanting dates, but it was also affected by the various soil textures and $EI_{30}$.

• 한국농림기상학회지
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• 제8권2호
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• pp.86-96
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• 2006

새로운 개념과 알고리즘으로 완성된 지표 변수 데이터베이스인 Ecoclimap-1이 전 지구 영역에 대해 1km의 해상도로 제공 된 바 있다. 이것은 기상과 기후의 모델에서 토양과 식물과 대기 사이의 이동을 정량적으로 표현하기 위해 고안 되었으며, Ecoclimap-1 데이터베이스를 구성하는 지표변수 자료들은 토지피복지도와 기후지도를 중첩하여 얻어진 생태기후 지도를 기본 주제도로 사용하여 각 클래스에 대한 값(per-class)로 제공된다. 생태기후지도의 제작은 일반적으로 사용하는 토지피복분류가 나타내지 못하는 동질 피복 내 생장 주기의 변동성을 고려하기 위한 것이다. 그러나 이렇게 중첩하여 얻은 주제를 사용하더라도 역시 같은 class내부의 식생 생장 주기의 변동성은 여전히 높게 나타나는 경향을 보였다. 본 연구에서는 이러한 단점을 보완하기 위하여 새로운 방법으로, SPOT/VEGETATION S10 NDVI 자료를 이용하여 토지피복지도와 기후지도의 단순 중첩이 아닌 동일 토지피복 클래스 내의 sub-clustering을 통하여 보다 동질의 하위 집단으로 분류한다. 본 연구는 Ecoclimap-2 project의 전 지구 데이터 베이스 구축의 일환으로 동북 아시아 지역의 생태기후지도 제작을 수행하였다. 사용된 토지피복지도는 University of Maryland Global Land Cover Database를 사용하였고 기후지도는 각 토지피복 클래스의 sub-clustering시 초기 군집의 수를 결정하기 위한 보조 자료로 사용하였다. 1999년부터 2004년 총 6년 동안의 NDVI 10-day 자료를 이용하였고 한 UMD토지피복 class내에 존재하는 모든 화소의 시 공간 긴밀도를 분석하여 비슷한 NDVI 정보를 가지는 화소들을 통합하였다. 이러한 과정을 통해 동북아시아를 총 29개의 ecosystem으로 정의 하였다. 이러한 ecosystem map은 앞으로의 기후 모델 연구에 있어 중요한 기본 주제도로 유용할 것으로 보이며 또한 생태계모델, 기상모델의 중요한 input 자료로서 쓰여 질 것으로 사료 된다.

• Journal of Ecology and Environment
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• 제36권1호
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• pp.49-56
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• 2013

The entire land of Southern Iran faces problems arising out of various types of land degradation of which vegetation degradation forms one of the major types. The present work introduces a model developed for assessing the current status of hazard of vegetation degradation using Geographic Information System (GIS). This kind of assessment differs from those assessments based on vulnerability or potential hazard assessments. The Sadra watershed which covers the upper reaches of Marharlu basin, Fars Province, has been chosen for a hazard assessment of this type of degradation. The different kinds of data for indicators of current status of vegetation degradation were gathered from collecting of field data and also records of the governmental offices of Iran. Taking into consideration three indicators of current status of vegetation degradation the model identifies areas with different hazard classes. By fixing the thresholds of severity classes of the three indicators including per cent of vegetation cover, biomass production and ratio of actual biomass to potential biomass production, a hazard map for each indicator was first prepared in GIS. The final hazard map of current status of vegetation degradation was prepared by intersecting three hazards in the GIS. Results show areas under severe hazard class have been found to be widespread (89 %) while areas under moderate and very severe hazard classes have been found less extensive in the Sadra watershed. The preparation of hazard maps based on the GIS analysis of these indicators will be helpful for prioritizing the areas to initiate remedial measures.

• 대한원격탐사학회지
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• 제22권3호
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• pp.175-182
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• 2006

Because of the phenological variation of vegetation growth in temperate region, it is often difficult to accurately assess the surface conditions of agricultural croplands, grasslands, and disturbed forests by multi-spectral remote sensor data. In particular, the spectral similarity between soil and dry vegetation has been a primary problem to correctly appraise the surface conditions during the non-growing seasons in temperature region. This study analyzes the spectral characteristics of the mixture of dry vegetation and soil. The reflectance spectra were obtained from laboratory spectroradiometer measurement (GER-2600) and from EO-1 Hyperion image data. The reflectance spectra of several samples having different level of dry vegetation fractions show similar pattern from both lab measurement and hyperspectral image. Red-edge near 700nm and shortwave IR near 2,200nm are more sensitive to the fraction of dry vegetation. The use of hyperspectral data would allow us for better separation between bare soils and other surfaces covered by dry vegetation during the leaf-off season.

• 대한원격탐사학회지
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• 제34권6_1호
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• pp.1025-1032
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• 2018

적설은 강수의 한 형태로 지표면에 쌓인 눈으로 정의되며 빙권의 가장 큰 단일 구성 요소로서 지구 표면과 대기 사이의 열 교환이나 전 지구 또는 지역적인 측면에서 지구의 에너지 수지 균형을 유지하는 중요한 역할을 하는 등 지구 표면 온도를 조절하는데 영향을 미친다. 그러나 적설은 인간의 접근이 어려운 지역에 주로 분포하기 때문에 위성을 활용한 적설 탐지가 활발히 수행되고 있으며 산림 지역의 적설 탐지는 구름과 적설의 구분 다음으로 중요한 과정이다. 따라서 본 연구는 기존 극 궤도 위성에서 산림 지역 적설 탐지에 활용하는 Normalized Difference Snow Index(NDSI) 및 Normalized Difference Vegetation Index(NDVI)를 정지궤도 위성에 적용하였으며, 산림 지역 외 영역은 적설의 분광 특징을 활용한 $R_{1.61{\mu}m}$ anomaly 기법 및 NDSI를 활용하여 적설 탐지를 수행하였다. 본 연구에서 산출한 Snow Cover 자료와 Visible Infrared Imaging Radiometer(VIIRS) Snow Cover 자료를 활용해 간접 검증을 수행한 결과, Probability of Detection(POD)는 99.95%, False Alarm Ratio(FAR)는 16.63 %로 나타났다. Himawari-8 Advanced Himawari Imager(AHI) RGB 영상을 추가로 활용해 정성적 검증 또한 수행하였으며 수행 결과, VIIRS Snow Cover가 미탐지한 영역과 본 연구가 오탐지한 영역이 혼합되어 나타났다.