• Title/Summary/Keyword: Forest Change

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Forest fire experiment toward the detection of forest fires using RS - Thermal and reflectance environment change observation at ground level -

  • Tanpipat, Veerachai;Honda, Kiyoshi
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.690-695
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    • 2002
  • In this forest fire experiment the ThermoViewer was set up on the platform built on a tree and observed the temperature change, before, during and after the fire. The fire experiment had been carried out not only the day of the forest fire experiment but also continued for four months after the forest fire had been gone. The results from the experiment showed that the temperature difference is significant in the afternoon; therefore, afternoon satellite passing is better and suitable time for active forest fires and burnt scars detection; moreover, after 83 days, the burnt and un-burnt vegetation become almost the same condition, fully regenerated and the temperature difference become nearly 0$^{\circ}$ Celsius, so there is not enough temperature different between burnt and un-burnt vegetation for current sensors to distinguish the difference anymore.

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A Study on the Biotope's Characters of the Mixed Rural City(II) - The Analysis of Change in Land Uses and Forest Structure of Sunghwan in Chonan City using Remote Sensing - (도농통합형 도시에 있어서 생물서식처 공간특성에 관한 연구(II) - 천안시 성환읍의 토지이용변화추이와 녹지구조변화를 중심으로 -)

  • Lee, Jin-Hee;Bang, Kwang-Ja;Kim, Hoon-Hee
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.2 no.1
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    • pp.38-47
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    • 1999
  • The mixed rural city is adjusting to change by urbanization. The recent landcover change in mixed rural city is an important factor that changes structure and function of regional ecosystem. Landscape ecology is an integrated ecology widely available for environmental science such as nature conservation and sustainable land-use planning. As the concern about environmental quality rises, many studies are trying to create and conservate for biotop. The creation of biotop is related to the plan and management of the effective landuse because the important factor to change the structure and function of ecological area in the country. This study was carried out to establish the foundation of the landuse plan to analyze the change of landuse and to plan the scheme in creating biotop and landuse. We used the approach of ecological landscape and using landscape indices with RS(Remote Sensing) and GIS(Geographic Information System) technology, spatio-temporal variations of areas and distribution of forest patches were examined in the Sunghwan in Chonan from 1985 to 1996. A result of this study showed that the area of forest and paddy decreased by urban sprawl. The size of patch in the forest and agriculture had been smaller and irregular form, heterogeneity of size of forest and agriculture patches within sub-basin was increased, pattern of forest and agriculture patches decreased the corridor and network from 1985 to 1996.

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Analysis of Climate Change Sensitivity of Forest Ecosystem using MODIS Imagery and Climate Information (MODIS NDVI 및 기후정보 활용 산림생태계의 기후변화 민감성 분석)

  • SONG, Bong-Geun;PARK, Kyung-Hun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.3
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    • pp.1-18
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    • 2018
  • The purpose of this study is to analyze sensitivity of forest ecosystem to climate change using spatial analysis methods focused on 6 national parks. To analyze, we constructed MODIS NDVI and temperature of Korea Meteorologic Administration based on 1km spatial resolution and 16 days. And we conducted time-series and correlation analysis using MODIS NDVI and temperature. A most sensitive region to climate change is Jirisa National Park(r=0.434) and Seoraksan National Park(r=0.415), there is the highest mean correlation coefficient. The sensitivity of forest ecosystem varied according to habitat characteristics and forest types in national park. In Abies koreana of Hallsan Nation Park, temperature has raised, but NDVI has decreased. these results will be based data of climate change adaption policy for protecting forest ecosystem.

A Study on Population Change and Projection in Korea Mountainous Area (산촌지역 인구변동의 특성 분석과 장래 추계)

  • Min, Kyung-Taek;Kim, Myeong-Eun
    • Journal of Korean Society of Forest Science
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    • v.103 no.4
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    • pp.670-678
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    • 2014
  • This paper analyzes the characteristics of population change and makes the population projection in the mountainous area of Korea. Mountainous areas are defined as local towns (eup or myeon) with forest area more than 70 percent of land area, population density less than 111 people per square kilometer, and plowland area less than 21 percent of land area. The population in mountainous areas has decreased dramatically, while the ageing index has increased over the past two decades. To make the population projection, the cohort-change ratios method is applied. The results revealed that a multitude of young people aged 10 to 39 moved to cities to find education and job chance and some people aged 40 and over moved to mountainous areas as the trends of urban-to-rural migration. This continuing trend will culminate in 680 thousand people in population and 1,035 of ageing index in 2030, which will lead to the unequal land development and inefficient forest management. Thus, policy makers need to develop stimulus plans to revitalize and stabilize the economy of mountainous areas.

Effect of Yearly Changes in Growing Degree Days on the Potential Distribution and Growth of Quercus mongolica in Korea (연도별 생장도일의 변화가 신갈나무의 잠재분포와 생장에 미치는 영향)

  • Lim, Jong Hwan;Park, Ko Eun;Shin, Man Yong
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.18 no.3
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    • pp.109-119
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    • 2016
  • This study was conducted to analyze the effect of yearly changes in growing degree days (GDD) on the potential distribution and growth of Quercus mongolica in Korea. Annual tree-ring growth data of Quercus mongolica collected by the $5^{th}$ National Forest Inventory were first organized to identify the range of current distribution for the species. Yearly GDD was calculated based on daily mean temperature data from 1951 to 2010 for counties with current distribution of Q. monglica. When tree-ring growth data were analyzed through cluster analysis based on similarity of climatic conditions, seven clusters were identified. Yearly GDD based on daily mean temperature data of each county were calculated for each of the cluster to predict the change of potential distribution. Temperature effect indices were estimated to predict the effect of GDD on the growth patterns. In addition, RCP 4.5 and RCP 8.5 of climate change scenarios were adopted to estimate yearly GDD and temperature effect indices from 2011 to 2100. The results indicate that the areas with low latitude and elevation exceed the upper threshold of GDD for the species due to the increase of mean temperature with climate change. It was also predicted that the steep increase of temperature will have negative influences on tree-ring growth, and will move the potential distribution of the species to areas with higher latitude or higher elevation, especially after the year of 2050. The results of this study are expected to provide valuable information necessary for estimating local growth characteristics and for predicting changes in the potential distribution of Q. mongolica caused by climate change.

Predicting the Potential Distribution of Pinus densiflora and Analyzing the Relationship with Environmental Variable Using MaxEnt Model (MaxEnt 모형을 이용한 소나무 잠재분포 예측 및 환경변수와 관계 분석)

  • Cho, NangHyun;Kim, Eun-Sook;Lee, Bora;Lim, Jong-Hwan;Kang, Sinkyu
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.2
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    • pp.47-56
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    • 2020
  • Decline of pine forests happens in Korea due to various disturbances such as insect pests, forest fires and extreme climate, which may further continue with ongoing climate change. For conserving and reestablishing pine forests, understanding climate-induced future shifts of pine tree distribution is a critical concern. This study predicts future geographical distribution of Pinus densiflora, using Maximum Entropy Model (MaxEnt). Input data of the model are locations of pine tree stands and their environmental variables such as climate were prepared for the model inputs. Alternative future projections for P. densiflora distribution were conducted with RCP 4.5 and RCP 8.5 climate change scenarios. As results, the future distribution of P. densiflora steadily decreased under both scenarios. In the case of RCP 8.5, the areal reductions amounted to 11.1% and 18.7% in 2050s and 2070s, respectively. In 2070s, P. densiflora mainly remained in Kangwon and Gyeongsang Provinces. Changes in temperature seasonality and warming winter temperature contributed primarily for the decline of P. densiflora., in which altitude also exerted a critical role in determining its future distribution geographic vulnerability. The results of this study highlighted the temporal and spatial contexts of P. densiflora decline in Korea that provides useful ecological information for developing sound management practices of pine forests.

Change Detection of Damaged Area and Burn Severity due to Heat Damage from Gangwon Large Fire Area in 2019 (2019년 강원도 대형산불지역의 열해 피해로 인한 피해강도 변화 탐색)

  • Won, Myoungsoo;Jang, Keunchang;Yoon, Sukhee;Lee, HoonTaek
    • Korean Journal of Remote Sensing
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    • v.35 no.6_2
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    • pp.1083-1093
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    • 2019
  • The purpose of this study is to detect the burned area change by direct burning of tree canopies and post-fire mortality of trees via analyzing satellite imageries from the Korea multi-purpose satellite-2 and -3 (KOMPSAT-2 and -3) for two large-fires over the Goseong-Sokcho and Gangneung-Donghae regions in April 2019. For each case, the burned area was compared between two dates: the day when the fire occurred and 15-18 days after it. As the results, within these two dates, there was no substantial difference in burned area of sites whose severities were marked as "Extreme", but sites with "High" and "Low" severities showed significant differences in burned area between the two dates. These differences were resulted from the lagged post-fire browning of canopies which was detected by images from in-situ observation,satellite, and the unmanned aerial vehicle. The post-fire browning started after 3-4 days and became apparent after 10-15 days. This study offers information about the timing to quantify the burned area by large fire and about the mechanism of post-fire mortality. Also, the findings can support policy makers in planning the restoration of the damaged areas.

Forest Management Research using Optical Sensors and Remote Sensing Technologies (광학센서를 활용한 산림분야 원격탐사 활용기술)

  • Kim, Eun-sook;Won, Myoungsoo;Kim, Kyoungmin;Park, Joowon;Lee, Jung Soo
    • Korean Journal of Remote Sensing
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    • v.35 no.6_2
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    • pp.1031-1035
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    • 2019
  • Nowadays, the utilization infrastructure of domestic satellite information is expanding rapidly. Especially, the development of agriculture and forestry satellite is expected to drastically change the utilization of satellite information in the forest sector. The launch of the satellite is expected in 2023. Therefore, NIFoS and academic experts in forest sectors have prepared "Special Issue on Forest Management Research using Optical Sensors and Remote Sensing Technologies" in order to understand new remote sensing technologies and suggest the future direction of forest research and decision-making. This special issue is focused on a variety of fields in forest remote sensing research, including forest resources survey, forest disaster detection, and forest ecosystem monitoring. The new research topics for remote sensing technologies in forest sector focuses on three points: development of new indicators and information for accurate detection of forest conditions and changes, the use of new information sources such as UAV and new satellites, and techniques for improving accuracy through the use of artificial intelligence techniques.