• Korean Journal of Remote Sensing
• /
• v.35 no.6_2
• /
• pp.1053-1065
• /
• 2019

Land use statistics calculation is very informative data as the activity data for calculating exact carbon absorption and emission in post-2020. To effective interpretation by land use category, This study classify automatically image interpretation by land use category applying forest aerial photography (FAP) to deep learning model and calculate national unit statistics. Dataset (DS) applied deep learning is divided into training dataset (training DS) and test dataset (test DS) by extracting image of FAP based national forest resource inventory permanent sample plot location. Training DS give label to image by definition of land use category and learn and verify deep learning model. When verified deep learning model, training accuracy of model is highest at epoch 1,500 with about 89%. As a result of applying the trained deep learning model to test DS, interpretation classification accuracy of image label was about 90%. When the estimating area of classification by category using sampling method and compare to national statistics, consistency also very high, so it judged that it is enough to be used for activity data of national GHG (Greenhouse Gas) inventory report of LULUCF sector in the future.

• Journal of Korean Society of Forest Science
• /
• v.96 no.3
• /
• pp.251-258
• /
• 2007

Airborne Lidar (light detection and ranging) can be an effective alternative in forest inventory to overcome the limitations of conventional field survey and aerial photo interpretation. In this study, we attempt to develop methodologies to identify individual trees and to estimate tree height from airborne Lidar data. Initially, digital elevation model (DEM) data representing the exact ground surface were generated by removing non-ground returns from the multiple-return laser point clouds, obtained over the coniferous forest site of rugged terrain. Based on the canopy height model (CHM) data representing non-ground layer, individual tree heights are extracted through pseudo-grid method and moving window filtering algorithm. Comparing with field survey data and aerial photo interpretation on sample plots, the number of trees extracted from Lidar data show over 90% accuracy and tree heights were underestimated within 1.1m in average at two plantation stands of pine (Pinus koraiensis) and larch (Larix leptolepis).

• Journal of Forest and Environmental Science
• /
• v.15 no.1
• /
• pp.65-70
• /
• 1999

The study analyze Conifer and Hardwood area and their distribution to seek an efficient survey for Experimental Forest of Kangwon National University using Landsat-5 TM data. Through forest cover types, we try to study on the possibility to use Satellite Data. development of Satellite Interpretation Skill and Digital Mapping Method. As analysis tools we use IMAGINE 8.3 and ArcView 3.0 software. The result showed that Hardwood took approximately 73%, 2,224ha of the total 3,058ha and Conifer takes 27%, 832ha.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.8 no.4
• /
• pp.81-90
• /
• 2005

Based on the landslide hazard scoring system of Korea Forest Research Institute, a GIS model for predicting landslide hazards was developed. The risk of landslide hazards was analyzed as the function of 7 environmental site factors for the terrain, vegetation, and geological characteristics of the corresponding forest stand sites. Among the environmental factors, slope distance, relative height and shapes of slopes were interpreted using the forestland slope interpretation module developed by Chung et al. (2002). The program consists of three modules for managing spatial data, analyzing landslide hazard and report-writing, A performance test of the model showed that 72% of the total landslides in Youngin-Ansung landslides area took place in the highly vulnerable zones of grade 1 or 2 of the landslide hazard scoring map.

• Korean Journal of Remote Sensing
• /
• v.16 no.4
• /
• pp.327-338
• /
• 2000

The forest conditions of North Korea has been a great concern since it was known to be closely related to many environmental problems of the disastrous flooding, soil erosion, and food shortage. To assess the long-term changes of forest area as well as the canopy conditions, several sources of multitemporal satellite data were applied to the study area near Kaesung. KOMPSAT-1 EOC data were overlaid with 1981 topographic map showing the boundaries of forest to assess the deforestation area. Delineation of the cleared forest was performed by both visual interpretation and unsupervised classification. For analyzing the change of forest canopy condition, multiple scenes of Landsat and SPOT data were selected. After preprocessing of the multitemporal satellite data, such as image registration and normalization, the normalized difference vegetation index (NDVI) was derived as a representation of forest canopy conditions. Although the panchromatic EOC data had radiometric limitation to classify diverse cover types, they can be effectively used t detect and delineate the deforested area. The results showed that a large portion of forest land has been cleared for the urban and agricultural uses during the last twenty years. It was also found that the canopy condition of remaining forests has not been improved for the last twenty years. It was also found that the canopy condition of remaining forests has not been improved for the last twenty years. Possible causes of the deforestation and the temporal pattern of canopy conditions are discussed.

• Journal of Forest and Environmental Science
• /
• v.24 no.3
• /
• pp.137-142
• /
• 2008

In this paper, we apply a logistic regression model to the data of snow damage on sugi (Cryptomeria japonica) occurred in Toyama prefecture (in Japan) in 2004 for estimating the risk probability. In order to specify the factors effecting snow damage, we apply a model selection procedure determining optimal subset of explanatory variables. In this process we consider the following 3 information criteria, 1) Akaike's information criterion, 2) Baysian information criterion, 3) Bias-corrected Akaike's information criterion. For the selected variables, we give a proper interpretation from the viewpoint of natural disaster.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.1479-1481
• /
• 2003

The aim of this paper was mainly to interpret the real information-missing patch of image by using the kriging interpolation technology of spatial statistics. The TM Image of the Jingouling Forest Farm of Wangqing Forestry Bureau of Northeast China on 1 July 1997 was used as the tested material in this paper. Based on the classification for the TM image, the information pixel-missing patch of image was interpolated by the kriging interpolation technology of spatial statistics theory under the image treatment software-ERDAS and the geographic information system software-Arc/Info. The interpolation results were already passed precise examination. This paper would provide a method and means for interpreting the information-missing patch of image.

• Journal of Forest and Environmental Science
• /
• v.20 no.1
• /
• pp.28-39
• /
• 2004

This study was carried out to find new perspective of forest recreation program in Gangwon-do. Gangwon-do has now 19 forest recreation sites (national forest 11, public forest 4, private forest 4) where forest interpretation, mountain bike, mountain marathon, mountain ski, forest music concert, various forest class are held. In order to develop the new programs for forest recreation program in Gangwon-do, this study considered culture program, welfare program and education program. For culture program, the experience program in traditional house, the experience in the back region and the experience in special product of mountain village were suggested. For welfare programs, the welfare programs for the old and the handicapped were shown. For education program, forest global village program and personality program were devised. According to introduction of 5 day-work per week, the population for recreation are expected to strongly increase, so Gangwon-do representing the image of tour province should improve continuous concern and various developing programs for forest recreation.

• Journal of Korean Society of Forest Science
• /
• v.84 no.3
• /
• pp.369-376
• /
• 1995

Black and White aerial photogrphs are much useful to obtain the information on the channel-bed fluctuation in the following aspects. 1. In the decision of river width, the linear regression formula between the value of aerial photograph interpretation and that of field surveying is Y=1.0+0.94X(the decision coefficient is $r^2=0.98$). Therefore, aerial photographs are proved effective for the measurement of river width. 2. Aerial photograph interpretation makes it possible to classify the plane channel and the deposits in river, and suggests the situation of the plane distribution of deposits, the size of channel and the course of channel formation. 3. The periodical channel situation can be figured out through the interpretation of aerial photographs pictured in different times. Also, the comparing and analyzing each interpretated information can be able to guess the course of the variation of channel influencing powerfully channel - bed fluctuation. 4. The microtopographic map of river can be made through the decision of river with, the interpretation of the plane shape of channel - bed and the analysis of variation of channel. On the basis of this map, the plane analysis of deposit is possible.

• Journal of the Korea Furniture Society
• /
• v.20 no.3
• /
• pp.205-212
• /
• 2009

Through this study, I explored a creation of the postmodern furniture aesthetics through the transformation by student's interpretation in experiencing the art/craft/handmade/studio furniture aesthetics in postmodernism theoretically for 'wood culture experience class' or 'wood love experience class' by the Korea Forest Service because the class tends to focus on making simple wood works involved just in the practical part. Qualitative conceptual analysis as the principal methodology was used to achieve the theoretical context in the experience programs. Following the lesson one on defining the postmodern aesthetics in New Design furniture as metaphor and the lesson two on interpreting an aesthetics of art and everyday life with the wood furniture which expresses the metaphorical and symbolical aesthetics appeared as New Design furniture in postmodernism in the previous papers, I developed lesson three on creating an object using eco-friendly materials like wood in transforming an aesthetics of postmodern furniture as the final stage of the study. Therefore, the students will be able to create a piece of eco-friendly wood furniture for our environment as metaphor transformed by his/her perspective regarding a piece of selected New Design furniture.