http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Lamchin, M.,Lee, J.Y.,Lee, W.K.,Lee, E.J.,Kim, M.,Lim, C.H.,Choi, H.A.,Kim, S.R. Published for the Committee by Pergamon Press 2016 Advances in space research Vol.57 No.1
<P>Desertification is a serious ecological, environmental, and socio-economic threat to the world, and there is a pressing need to develop a reasonable and reproducible method to assess it at different scales. In this paper, the Hogno Khaan protected area in Mongolia was selected as the study area, and a quantitative method for assessing land cover change and desertification assessment was developed using Landsat TM/ETM+ data on a local scale. In this method, NDVI (Normalized Difference Vegetation Index), TGSI (Topsoil Grain Size Index), and land surface albedo were selected as indicators for representing land surface conditions from vegetation biomass, landscape pattern, and micrometeorology. A Decision Tree (DT) approach was used to assess the land cover change and desertification of the Hogno Khaan protected area in 1990, 2002, and 2011. Our analysis showed no correlation between NDVI and albedo or TGSI but high correlation between TGSI and albedo. Strong correlations (0.77-0.92) between TGSI and albedo were found in the non-desertification areas. The TGSI was less strongly correlated with albedo in the low and non desertification areas, at 0.70 and 0.92; respectively. The desertification of the study area is increasing each year; in the desertification map for 1990-2002, there is a decrease in areas of zero and low desertification, and an increase in areas of high and severe desertification. From 2002 to 2011, areas of non desertification increased significantly, with areas of severe desertification also exhibiting increase, while areas of medium and high desertification demonstrated little change. (C) 2015 COSPAR. Published by Elsevier Ltd. All rights reserved.</P>
Lamchin, Munkhnasan,Lee, Woo-Kyun,Jeon, Seong Woo,Wang, Sonam Wangyel,Lim, Chul Hee,Song, Cholho,Sung, Minjun Elsevier 2018 Science of the Total Environment Vol.618 No.-
<P><B>Abstract</B></P> <P>Satellite data has been used to ascertain trends and correlations between climate change and vegetation greenness in Asia. Our study utilized 33-year (1982–2014) AVHRR-GIMMS (Advanced Very High Resolution Radiometer - Global Inventory Modelling and Mapping Studies) NDVI3g and CRU TS (Climatic Research Unit Time Series) climate variable (temperature, rainfall, and potential evapotranspiration) time series. First, we estimated the overall trends for vegetation greenness, climate variables and analyzed trends during summer (April to October), winter (November to March), and the entire year. Second, we carried out correlation and regression analyses to detect correlations between vegetation greenness and climate variables. Our study revealed an increasing trend (0.05 to 0.28) in temperature in northeastern India (bordering Bhutan), Southeast Bhutan, Yunnan Province of China, Northern Myanmar, Central Cambodia, northern Laos, southern Vietnam, eastern Iran, southern Afghanistan, and southern Pakistan. However, a decreasing trend in temperature (0.00 to −0.04) was noted for specific areas in southern Asia including Central Myanmar and northwestern Thailand and the Guangxi, Southern Gansu, and Shandong provinces of China. The results also indicated an increasing trend for evapotranspiration and air temperature accompanied by a decreasing trend for vegetation greenness and rainfall. The temperature was found to be the main driver of the changing vegetation greenness in Kazakhstan, northern Mongolia, Northeast and Central China, North Korea, South Korea, and northern Japan, showing an indirect relationship (<I>R</I> =0.84–0.96).</P> <P><B>Highlights</B></P> <P> <UL> <LI> Temperature is the main climatic variable affecting vegetation greenness. </LI> <LI> A downward trend in vegetation greenness was observed during summer (April to October). </LI> <LI> Temperature showed an upward trend across many areas of Asia during the study period. </LI> <LI> In winter, rainfall showed downward and upward trends in different parts of Asia. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Munkhnasan Lamchin,Jong-Yeol Lee(이종열),Woo-Kyun Lee(이우균),Eun Jung Lee(이은정) 대한공간정보학회 2014 한국지형공간정보학회 학술대회 Vol.2014 No.5
Desertification is a serious threat to the ecological environment and social economy in our world and there is a pressing need to develop a reasonable and reproducible method to assess it at different scales. In this paper, the HognoKhaan protected area in Mongolia was selected as the research region and a quantitative method for desertification assessment was developed by using Landsat TM/ETM+ data on a regional scale. In this method, NDVI, GSI (Topsoil grain size index) and land surface albedo were selected as assessment indicators of desertification to represent land surface conditions from vegetation biomass, landscape pattern and micrometeorology. Based on considering the effects of vegetation type and time of images acquired on assessment indictors, assessing rule sets were built and a decision tree approach was used to assess desertification of HognoKhaan protected area in 1990, 2002 and 2011.We compared following six different environmental parameters, NDVI (Normalized Difference Vegetation Index), GSI (Topsoil Grain Size Index), Albedo, LST (Land surface temperature), PDI (Perpendicular drought index), CTI (Compound Topographic Index), to examine correlation analyze between each other those parameters by grade of desertification.
To used remote sensing approach at the assessment of Desertification
Munkhnasan Lamchin,Jong-Yeol Lee(이종열),Woo-Kyun Lee(이우균),Eun Jung Lee(이은정) 대한공간정보학회 2015 한국지형공간정보학회 학술대회 Vol.2015 No.5
The Hugnu Khaan region lies in the semiarid regions of center, Mongolia. Remote sensing and GIS are being used to study desertification in this region. In this paper, we used Landsat TM and ETM data between July and September first week in 1990, 2002, and 2011 to analyze the spatial and temporal patterns of the desertification using three indices: the normalized difference vegetation index, soil grain size index, the surface albedo. We normalized the indicators, determined their weights, and defined five grades of desertification: zero, low, medium, high, and severe. The times of image acquisition on the assessment indicators, sets of assessing rules were built, and a decision tree approach was used to assess the desertification and we computed compound topographic index, land surface temperature and perpendicular drought index, watershed area. Then tested the correlation between level of desertification and the six variables and compared with each other, checked by field data. We found that desertification in the Hugnu Khaan covered severe desertification more than 15 % of the total land area, the total area of severe desertified land was 7% in 1990.
Assessing environmentally sensitive land to desertification using MEDALUS method in Mongolia
이은정,Dongfan Piao,송철호,김지원,임철희,김은지,문지원,카파토스,Lamchin Munkhnasan,전성우,이우균 한국산림과학회 2019 Forest Science And Technology Vol.15 No.4
Desertification is a global phenomenon caused by various processes, including climate change, vegetation processes, and human activities. The need to combat desertification is increasing in many countries. A reasonable assessment of the vulnerability or sensitivity of land cover to desertification at national scales is crucial to formulate appropriate strategies or policies for combating it. The main purpose of this work was to quantitatively assess the sensitivity of land cover to desertification in Mongolia using the MEDALUS approach. The MEDALUS method is a widely known technique for assessing desertification in the Mediterranean area. In this study, the method was adjusted to be applied to Mongolia, while the numerical methods of the MEDALUS remained the same. The modified MEDALUS method used nine factors from 2003 and 2008 to quantify the sensitivity of land to desertification. As a result, our study resulted in the calculation and spatial distribution of the Environmental Sensitive Area Index (ESAI), produced throughout Mongolia. In 2003, the middle region of the southern Mongolia had the highest sensitivity to desertification, while sensitivity in 2008 increased in the western area. Mongolia’s area with the highest ESAI range increased approximately five times, indicating rapid desertification occurring throughout Mongolia from 2003 to 2008.
( Hangnan Yu ),( Jong Yeol Lee ),( Woo Kyun Lee ),( Munkhnasan Lamchin ),( Dejee Tserendorj ),( Sole Choi ),( Yong Ho Song ),( Ho Duck Kang ) 대한원격탐사학회 2013 大韓遠隔探査學會誌 Vol.29 No.6
Desertification monitoring as a main portion for understand desertification, have been conducted by many scientists. However, the stage of research remains still in the level of comparison of the past and current situation. In other words, monitoring need to focus on finding methods of how to take precautions against desertification. In this study, Vegetation Temperature Condition Index (VTCI), derived from Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST), was utilized to observe the distribution change of vegetation. The index can be used to monitor drought occurrences at a regional level for a special period of a year, and it can also be used to study the spatial distribution of drought within the region. Techniques of remote sensing and Geographic Information System (GIS) were combined to detect the distribution change of vegetation with VTCI. As a result, assuming that the moisture condition is the only main factor that affects desertification, we found that the distribution of vegetation in Bulgan, Mongolia could be predicted in a certain degree, using VTCI. Although desertification is a complicated process and many factors could affect the result. This study is helpful to provide a strategic guidance for combating desertification and allocating the use of the labor force.
Yu, Hangnan,Lee, Jong-Yeol,Lee, Woo-Kyun,Lamchin, Munkhnasan,Tserendorj, Dejee,Choi, Sole,Song, Yongho,Kang, Ho Duck The Korean Society of Remote Sensing 2013 大韓遠隔探査學會誌 Vol.29 No.6
Desertification monitoring as a main portion for understand desertification, have been conducted by many scientists. However, the stage of research remains still in the level of comparison of the past and current situation. In other words, monitoring need to focus on finding methods of how to take precautions against desertification. In this study, Vegetation Temperature Condition Index (VTCI), derived from Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST), was utilized to observe the distribution change of vegetation. The index can be used to monitor drought occurrences at a regional level for a special period of a year, and it can also be used to study the spatial distribution of drought within the region. Techniques of remote sensing and Geographic Information System (GIS) were combined to detect the distribution change of vegetation with VTCI. As a result, assuming that the moisture condition is the only main factor that affects desertification, we found that the distribution of vegetation in Bulgan, Mongolia could be predicted in a certain degree, using VTCI. Although desertification is a complicated process and many factors could affect the result. This study is helpful to provide a strategic guidance for combating desertification and allocating the use of the labor force.