• Title/Summary/Keyword: Vegetation cover

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Analysis of change in hydrological cycles of South Korea, China and Japan due to the change of their vegetation since 1950 (1950년 이후 한국, 중국, 일본의 식생변화 및 이에 따른 수문순환 변화 분석)

  • Song, Sung-uk;Cho, Eunsaem;Yoo, Chulsang
    • Journal of Wetlands Research
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    • v.19 no.4
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    • pp.470-483
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    • 2017
  • Changes in land cover or land use, such as changes in forest area, can cause changes in water and energy circulation, ultimately affecting overall hydrological cycle including stream flow, evapotranspiration, soil moisture, and base flow. In this study, the changes of the hydrological processes over the past long period were simulated by using large-scale surface hydrologic model along with various soil, land use, vegetation, and meteorological data. For this purpose, this study simulated and evaluated the changes in the hydrological cycle for the past 50 years (1955-2010) in East Asia including China, Japan and South Korea. In particular, this study used the land cover maps which can properly reflect the vegetation condition for each simulation period. As results, the mean runoff ratio of China was estimated to be 47.0% over the entiree period, 62.7% in Japan and 49.4% in South Korea. The mean soil moisture of China was estimated to be 22.2%, 35.6% in Japan and 23.9% in South Korea. Finally, the mean evapotranspiration rate was estimated to be 52.7% in China, 37.3% in Japan and 50.4% in South Korea. Especially, in China, the hydrological cycle was found to be changed very much for the entire simulation period. However, in Japan, the hydrological cycle was found to be very stable for the entire simulation period. The hydrological cycle was also found to become stable mainly due to the stabilization of the vegetation.

Analysis Gabion Works in Cut-slopes Characteristics and Scenic Preference (도로비탈면 돌망태공법의 특성 및 경관선호도 분석)

  • Park, Jae-Hyeon;Kim, Choonsig
    • Journal of Korean Society of Forest Science
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    • v.104 no.2
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    • pp.206-212
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    • 2015
  • This study was carried out to assess the characteristics of gabion on road cut-slopes, and analyze the scenic view preference for the gabion in Korea. 97 gabion sites from road cut-slopes were selected and were classified into 10 application types of gabion. The classification types of gabion were mostly related to the erosion and collapse prevention across road cut-slope. Gabion work sites in this study were classified into 30 sites (31%) for below 10% gradient, followed by 31 sites (32%) for 11~30% gradient, 20 sites (21%) for 31~50% gradient, and 16 sites (16%) for 51~80% gradient. Gabion works were constructed mostly in low gradient than in high gradient. 34 gabion sites (35%) among 97 sites were not covered by vegetation and 52 gabion sites (54%) showed vegetation cover rates of 1~30%. On the scenic preference analysis, public groups understood that the scenic view of gabion in cutting slope can be improved by vegetation cover, whereas expert groups prefer to scenic view of gabion only. However, expert groups encouraged subsequently vegetation covering to improve scenic view during gabion works in cutting slope.

The Classification and Species Diversity of Forest Cover Types in the Natural Forest of the Middle Part of Baekdudaegan (백두대간 중부권역 천연림의 산림피복형 분류와 종다양성)

  • Hwang, Kwang-Mo;Chung, Sang-Hoon;Kim, Ji-Hong
    • Journal of Korean Society of Forest Science
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    • v.104 no.1
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    • pp.14-25
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    • 2015
  • This study was carried out to classify forest communities and to aggregate forest cover types for the complex and diversified natural forest areas of Guryongsan, Sobaeksan, Baekhwasan, Sokrisan, and Baekhaksan in the middle part of Baekdudaegan. The vegetation data were collected by point-centered quarter sampling method. One thousand one hundred fourteen sample points were subjected to cluster analysis to classify 27 forest communities, which were aggregated into 7 representative forest cover types on the basis of community similarity from composition of canopy species. They were Quercus mongolica forest cover type, mixed mesophytic forest cover type, Q. variabilis forest cover type, Pinus densiflora forest cover type, the others deciduous forest cover type, Q. serrata forest cover type, and subalpine forest cover type. The Q. mongolica forest cover type was most widely distributed in the study areas. It was assumed that abundance of Q. mongolica might be negatively associated with species diversity. Mixed mesophytic forest cover type and the others deciduous forest cover type were commonly distributed in the areas of valley, on the other hand, Q. mongolica cover type and P. densiflora cover type tended to be distributed in the areas of ridge.

Comparison of Snow Cover Fraction Functions to Estimate Snow Depth of South Korea from MODIS Imagery

  • Kim, Daeseong;Jung, Hyung-Sup;Kim, Jeong-Cheol
    • Korean Journal of Remote Sensing
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    • v.33 no.4
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    • pp.401-410
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    • 2017
  • Estimation of snow depth using optical image is conducted by using correlation with Snow Cover Fraction (SCF). Various algorithms have been proposed for the estimation of snow cover fraction based on Normalized Difference Snow Index (NDSI). In this study we tested linear, quadratic, and exponential equations for the generation of snow cover fraction maps using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua satellite in order to evaluate their applicability to the complex terrain of South Korea and to search for improvements to the estimation of snow depth on this landscape. The results were validated by comparison with in-situ snowfall data from weather stations, with Root Mean Square Error (RMSE) calculated as 3.43, 2.37, and 3.99 cm for the linear, quadratic, and exponential approaches, respectively. Although quadratic results showed the best RMSE, this was due to the limitations of the data used in the study; there are few number of in-situ data recorded on the station at the time of image acquisition and even the data is mostly recorded on low snowfall. So, we conclude that linear-based algorithms are better suited for use in South Korea. However, in the case of using the linear equation, the SCF with a negative value can be calculated, so it should be corrected. Since the coefficients of the equation are not optimized for this area, further regression analysis is needed. In addition, if more variables such as Normalized Difference Vegetation Index (NDVI), land cover, etc. are considered, it could be possible that estimation of national-scale snow depth with higher accuracy.

LOS Analysis Simulation considering Canopy Cover (수목차폐율을 고려한 가시선 분석 시뮬레이션)

  • Kong, Seong-Pil;Song, Hyun-Seung;Eo, Yang-Dam;Kim, Yong-Min;Kim, Chang-Jae
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.2
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    • pp.55-61
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    • 2012
  • The primary factors of the LOS(Line-of-Sight) analysis process are terrain height, camera capacity, and canopy cover. The canopy cover rate differs depending on the changing season, and its value is influenced by the tree density, tree height, and etc. This study generated the canopy cover value based on relationship between NDVI(Normalized Difference Vegetation Index) and DMT(Density Measure % of Tree/Canopy Cover), which is a digital map attribute, and then performed the LOS analysis on six station of test sites. As results, It was found that NDVI and DMT are correlated with each other through the experiments. Based on this finding, new DMT map can be generated using NDVI. Also, There is a difference between the result of visibility analysis using the present DMT and one using a new DMT. Especially, the spatial distributions of the detected visible areas are significantly different between the two visibility analysis results.

Characteristics of MODIS land-cover data sets over Northeast Asia for the recent 12 years(2001-2012) (동북아시아 지역에서의 최근 12년간 (2001-2012) MODIS 토지피복 분류 자료의 특성)

  • Park, Ji-Yeol;Suh, Myoung-Seok
    • Korean Journal of Remote Sensing
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    • v.30 no.4
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    • pp.511-524
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    • 2014
  • In this study, we investigated the statistical occupations and interannual variations of land cover types over Northeast Asian region using the 12 years (2001-2012) MODerate Resolution Imaging Spectroradiometer(MODIS) land cover data sets. The spatial resolution and land cover types of MODIS land cover data sets are 500 m and 17, respectively. The 12-year average shows that more than 80% of the analysis region is covered by only 3 types of land cover, cropland (36.96%), grasslands (23.14%) and mixed forests (22.97%). Whereas, only minor portion is covered by cropland/natural vegetation mosaics (6.09%), deciduous broadleaf forests (4.26%), urban and built-up (2.46%) and savannas (1.54%). Although sampling period is small, the regression analysis showed that the occupations of evergreen needleleaf forests, deciduous broadleaf forests and mixed forests are increasing but the occupations of woody savannas and savannas are decreasing. In general, the pixels where the land cover types are classified differently with year are amount to more than 10%. And the interannual variations in the occupations of land cover types are most prominent in cropland (1.41%), mixed forests (0.82%) and grasslands (0.73%). In addition, the percentage of pixels classified as 1 type for 12 years is only 57% and the other pixels are classified as more than 2 types, even 9 types. The annual changes in the classification of land cover types are mainly occurred at the almost entire region, except for the eastern and northwestern parts of China, where the single type of land cover located. When we take into consider the time scale needed for the land cover changes, the results indicate that the MODIS land cover data sets over the Northeast Asian region should be used with caution.

Vegetation Height and Age Estimation using Shuttle Radar Topography Mission and National Elevation Datasets (SRTM과 NED를 활8한 산림수고추정 및 수령 추정)

  • Kim Jin-Woo;Heo Joon;Sohn Hong-Gyoo
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2006.04a
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    • pp.305-309
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    • 2006
  • SAR (Synthetic Aperture Radar) technology, which is not influenced by cloud cover because of using electromagnetic wave of long wavelength, has an advantage in mapping the earth. NASA, recognizing these strong points of SAR, launched SRTM (Shuttle Radar Topography klission), and acquired the topographic information of the earth. SRTM and NED (National Elevation Data) of USGS were used for the research and vegetation height map was produced through differentiating the two data. Correlation between SRTM-NED and planting year was analyzed to see the relationship. Strong correlation was detected and it shows the feasibility of estimating timber age and eventually creating timber age map from SRTM-NED. Additional analyses were conducted to check if the linearity is influenced by regional characteristics and forest uniformity. As results, the correlation between SRTM-NED and timber age is influenced by roughness of the terrain. Overall, this paper shows that timber age estimation using SRTM and NED can be sufficiently practical.

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Primary Ecological Effect Analysis of Emergent Water Transportation in the Lower Reaches of Tarim River Based on RS Technology

  • Xu, Mei;Huang, ShiFeng;He, Yu
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1301-1303
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    • 2003
  • Tarim River is the biggest inland river in China, its problem of eco-environment is worsening in the lower reach. For keeping this trend within limits, the measure of emergent water transportation to the lower reach was taken. In this paper, the remote sensing technology will be applied to the analysis of eco-environment effect after water transportation. The result is: the vegetation index and cover ratio increased but not markedly, the eco-environment situation can't been improved obviously up to now. It is some effective but temporary . The continuity, quality and quality of water source for the Tarim River must been ensured.

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Study of Environment in Waterfront Area by Appling Remote Sensing: A Case Study of Inchon International Airport

  • Choi Ho lung;Ahmed Sarwar Uddin;Gotoh Keinosuke
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.529-532
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    • 2004
  • This study aims at examining the environment of waterfronts by applying satellite remote sensing technique. In doing so we have selected Inchon International Airport, Korea as a case. As a method of the study, Normalized Difference Vegetation Index (NDVI) and land cover changes are estimated in and around Inchon International Airport. As a result of the study, we have found vegetation's change in the Airport and variation of neighborhood city by building of waterfront.

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ASSESSMENT OF SPRING DROUGHT USING MODIS VEGETATION INDEX AND LAND SURFACE WATER INDEX

  • Park, Jung-Sool;Kim, Kyung-Tak;Lee, Kyo-Sung
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.563-566
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    • 2006
  • In order for the evaluation and analysis of the spring drought which has been periodically occurring in Korean peninsula since 2000, the use of satellite image data is increasing to investigate temporal and spatial characteristics of the drought areas. The recent spring droughts in south Korea have some characteristics. It last for short period in spring when the activity of vegetation is not lively and it have large areal deviation in the severity of drought. In this study, considering the characteristics of the spring drought in Korean peninsular, the MODIS satellite image data which has superior spatial and radiometric resolutions was used for the analysis of the spring drought. In two basins having different spatial characteristics, the drought events were selected and their severities were analyzed using the MODIS NDVI, LSWI, and daily rainfall data since 2000, and the spatial characteristics of the drought area were analyzed using the DEM, land cover, and digital forest map of the study areas.

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