• Journal of Korean Society of Forest Science
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• v.40 no.1
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• pp.19-24
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• 1978

The study was conducted to find out the relationship between land cost and financial yield earned by the plantations of Pinus koraiensis, Pinus densiflora and Cryptomeria japonica, and to investigate possible land investment for the given rates of return. The result of the study could be summarized as follows: 1. In the case of Pinus koraiensis plantation on site index 12, the finnancial yield was 6.4 percent when the land cost was 0.5 million Won per hectare, but the yield was reduced to 2.1 percent when the cost was 2.5 million Won. It would be therefore necessary for inducing plantation investment to raise financial yield by control of forest land price. 2. The financial yield on land of zero expectation value, in other words, internal rate of return of land investment was estimated at 10 percent. If the opportunity cost of forest land is higher than this, the economic plantation is not visible even though the land is free. 3. With the expected financial yield of 3 percent, the possible land investment of poor sites was estimated at 1.24, 0.28 and 0.80 million Won per hectare for the plantation of Pinus koraiensis, Pinus densiflora and Cryptomeria japonica, respectively. In any case, however, land cost could not be over 3 million Won per hectare. 4. The rate earned from forest land investment was generally less than 10 percent. Therefore, the annual interest rate in forestry could not be higher than this, and hopeful rate is not exceeding 6 percent.

• Korean Journal of Agricultural and Forest Meteorology
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• v.6 no.1
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• pp.61-69
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• 2004

A long-term growth simulation was performed at 99 land units in Yeoncheon county to test the potential adaptability of each land unit for growing soybean cultivars. The land units for soybean cultivation(CZU), each represented by a geographically referenced land patch, were selected based on land use, soil characteristics, and minimum arable land area. Monthly climatic normals for daily maximum and minimum temperature, precipitation, number of rain days and solar radiation were extracted for each CZU from digital climate models(DCM). The DCM grid cells falling within a same CZU were aggregated to make spatially explicit climatic normals relevant to the CZU. A daily weather dataset for 30 years was randomly generated from the monthly climatic normals of each CZU. Growth and development parameters of CROPGRO-soybean model suitable for 2 domestic soybean cultivars were derived from long-term field observations. Three foreign cultivars with well established parameters were also added to this study, representing maturity groups 3, 4, and 5. Each treatment was simulated with the randomly generated 30 years' daily weather data(from planting to physiological maturity) for 99 land units in Yeoncheon to simulate the growth and yield responses to the inter-annual climate variation. The same model was run with input data from the Crop Experiment Station in Suwon to obtain a 30 year normal performance of each cultivar, which was used as a "reference" for evaluation. Results were analyzed with respect to spatial and temporal variation in yield and maturity, and used to evaluate the suitability of each land unit for growing a specific cultivar. A computer program(MAPSOY) was written to help utilize the results in a decision-making procedure for agrotechnology transfer. transfer.

• Korean Journal of Agricultural and Forest Meteorology
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• v.4 no.2
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• pp.86-94
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• 2002

This study was carried out to identify the relationship between naturally introduced vegetation on the abandoned coal mine lands and the surrounding forest, and to select the indigenous tree species for the revegetation of the real mine lands in Taeback, Kangwon Province, Korea. The apparent species in the surrounding forest of Sododong were 9 species of tree layer, 13 species of subtree layer, 23 species of shrub layer and 23 species of herb layer, respectively. The dominant species in Sarijae were 6 species of tree layer, 15 species of subtree layer, 31 species of shrub layer and 25 species of herb layer, respectively. The plant species in the abandoned real mine land were 31 species in Sododong and 30 species in Sarijae, respectively. The number of plant species in the abandoned coal mine land was smaller than the surrounding forest. The common species of the coal mine lands and the surrounding forest were 6 species(Betula schimidtii etc.) in Sododong and 4 species(B. costata etc.) in Sarijae. It was considered that the species in the coal mine lands introduced from the species of top layer in the surrounding forest. Especially, B. costata in Sarijae showed the edge effect which regenerates the vegetative community from the boundary area of coal mine land and surrounding forest. Natural revegetation in Sododong was also progressing by the invasion of tree species in surrounding forest, such as B. schmidtii. Consequently, natural revegetation in the disturbed coal mine lands may be related to the species composition of the surrounding forest.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.16 no.1
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• pp.99-107
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• 2013

This study was conducted to evaluate the effect of soil covering depth and vegetation base materials on the competition between Pinus densiflora Siebold & Zucc. and Lespedeza cyrtobotrya Miq., which were grown in an abandoned coal mine land for three years after seeding, by comparing their growth and stem density. The study site was consisted of sub-plots with four different soil covering depths (0cm, 10cm, 20cm, and 30cm) and four different compounds of vegetation base materials (peat moss (control), soil conditioner+peat moss (S+P), erosion control material+peat moss (E+P), and soil conditioner+erosion control material+peat moss (S+E+P)). Results of this study showed opposite pattern between P. densiflora and L. cyrtobotrya with different soil covering depth and compounds of vegetation base materials in general. P. densiflora showed the highest growth and stem density in plots with 10cm and 0cm depths of soil covering, respectively, while the lowest was shown in plots with 20cm depth of soil covering. In contrast, L. cyrtobotrya showed the highest growth and stem density in plots with 20cm depth of soil covering, while the lowest was shown in plots with 0cm depth of soil covering. In case of vegetation base materials, P. densiflora showed the highest growth and stem density in control plots and plots treated with S+P, respectively, while the lowest was shown in plots with S+E+P treatment. On the other hand, L. cyrtobotrya showed the highest growth and stem density in plots treated with S+E+P, while the lowest was shown in control plots. These results suggested the competition between two plants as a major cause of opposite patterns, which is induced by the suppressed growth and stem density of P. densiflora by fast growing L. cyrtobotrya. Despite the suppression of L. cyrtobotrya on P. densiflora, L. cyrtobotrya can play a positive role in improving soil quality, and thus it would be more desirable for restoring abandoned coal mine land to manage the growth of L. cyrtobotrya periodically, rather than eliminate them.

• Journal of Korean Society of Forest Science
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• v.101 no.4
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• pp.574-578
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• 2012

This study was carried out to clarify the influences of forest environmental factors on turbidity of Stream water on three stands (Castanea crenata, Pinus densiflora and Plantation Land) of small watershed in Samgyeri Naedong-myeon Jinju-si Gyeongsangnam-do. The relationship between turbidity and forest environmental factors was a positive correlation at 1% level with chromaticity, suspended solid, sediment runoff erosion, slope, rainfall intensity, preceding dry days, watershed area and stream length and at 5% level with accumulative rainfall. The important factors that affected turbidity in small watershed showed in order of preceding dry days, rainfall intensity, stream length, chromaticity and suspended solid. In the stepwise regression between turbidity and forest environmental factors, the estimation equation is as follow; Y=-28.125+0.047x (suspended solid)+0.058x (chromaticity)+1.518x (rainfall intensity)+0.264x (stream length)+1.837x (preceding dry days). The results indicates that dangerous areas of landslide and soil runoff by land use could be applied to the mitigation measures such as afforestation, erosion check dam and revetment for erosion control and water quality management in small watershed.

• Journal of Korean Society of Forest Science
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• v.98 no.6
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• pp.669-675
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• 2009

The purpose of this study was to examine the influence of land use change in the forest catchment on sedimentation rate at the outlets of rivers in Kushiro Mire that have been impacted by forest clearing, agricultural activity and river regulation. We analysed Caesium-137(Cs-137) concentration in sediment cores, and we estimated sedimentation rates and Cs-137 inventories over the last 50 years. Cs-137 from atomic bomb testing first entered the environment in 1954 which provides easily identifiable chronological markers in the sediment. Because Cs-137 is strongly absorbed into sediment particles, its redistribution occurs in association with sedimentary particles. Since the 1950s, the forest catchment areas draining into the mire have been developed intensively from forest areas to agricultural lands. The sediment accumulations at the outlets of rivers after 1954 ranged from 36 to 148 cm. The Cs-137 inventory is significantly greater than the reference sites which reflected natural accumulation conditions because sediment containing Cs-137 was carried from catchments into the outlets of the rivers. In addition, the Cs-137 inventory was correlated with the sedimentation rate. However, the Cs-137 inventories in Kuchoro and Kushiro river profiles were slowly increased with the sedimentation rates. This is because the sediment originating from scoured areas such as streambeds and banks contains a low level of Cs-137 concentration.

• Journal of Korean Society of Rural Planning
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• v.1 no.2
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• pp.43-52
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• 1995

This study is to establish a planning methodology for rural area development with land suitability classification. Land suitability classification was carried out by introducing Geographic Information System. The planning methodology was applied to Sunheung district located in Youngpoong county, Kyongbuk Province, Korea. Land suitability classification by the GIS showed that only 29 % of present agricultural land were higher than class 2 and 71 % were in bad condition for agricultural land. Especially, 22.2 % of agricultural land were under class 5 as the lowest level and 265.2 ha of forest were possible to develop as an agricultural land. It was proved that GIS may be a powerful tool in rural planning process. In addition, it is thought that GIS can be applied to the fields of agricultural land management system in many ways.

• Proceedings of the KSRS Conference
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• 1998.09a
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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.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.11a
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• pp.311-318
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• 2004

The Land Use Suitability Assessment System was recently introduced by the $\ulcorner$Act on Planning and Utilization of the National Territory$\lrcorner$ to use, manage, and develop the national territory, which integrated the National Land Use and Management Act and the Urban Planning Act. It provides a guideline for classifying land use into 5 classes according to locational characteristics, usability, and developmental conditions of land in the vicinity. The database is constructed with LMIS cadastral data, posted land price data, and data of related agencies such as the Korea Forest Service, the Ministry of Environment, and the Korea Water Resources Corporation etc. After the database construction, individual parcels are analysed by steps and classified into 3 sub areas - conservation, agriculture, and development using GIS. In this paper we evaluate land use suitability for individual parcels by constructing the Land Use Suitability Assessment System for Jinju city. Therefore, we suggest that this system provides vital data in the urban management planning process.

• Korean Journal of Environment and Ecology
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• v.32 no.6
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• pp.686-697
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• 2018

Due to the advance in remote sensing technology, it has become easier to more frequently obtain high resolution imagery to detect delicate changes in an extensive area, particularly including forest which is not readily sub-classified. Time-series analysis on high resolution images requires to collect extensive amount of ground truth data. In this study, the potential of land coverage mapas ground truth data was tested in classifying high-resolution imagery. The study site was Wonju-si at Gangwon-do, South Korea, having a mix of urban and natural areas. KOMPSAT-3A imagery taken on March 2015 and land coverage map published in 2017 were used as source data. Two pixel-based classification algorithms, Support Vector Machine (SVM) and Random Forest (RF), were selected for the analysis. Forest only classification was compared with that of the whole study area except wetland. Confusion matrixes from the classification presented that overall accuracies for both the targets were higher in RF algorithm than in SVM. While the overall accuracy in the forest only analysis by RF algorithm was higher by 18.3% than SVM, in the case of the whole region analysis, the difference was relatively smaller by 5.5%. For the SVM algorithm, adding the Majority analysis process indicated a marginal improvement of about 1% than the normal SVM analysis. It was found that the RF algorithm was more effective to identify the broad-leaved forest within the forest, but for the other classes the SVM algorithm was more effective. As the two pixel-based classification algorithms were tested here, it is expected that future classification will improve the overall accuracy and the reliability by introducing a time-series analysis and an object-based algorithm. It is considered that this approach will contribute to improving a large-scale land planning by providing an effective land classification method on higher spatial and temporal scales.