http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Christoph Kleinn (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
브라질 SAO BARTOLOMEU江 流域에 自生하는 天然更新林分의 植物社會學的 位置
크리스토프 클라인,禹鍾春,호세 이마나 江源大學校 林科大學 森林科學硏究所 1994 Journal of Forest Science Vol.10 No.-
브라질 聯邦地域을 흐르는 Sao Bartolomeu 강 流域에 자생하는 삼림의 天然更新에 대한 정보를 얻기 위하여 森林調査가 실시되었다. 1ha 삼림면적내의 林分遷移 構成을 조사하기 위해 100㎡의 森林調査區가 설정되었다. 樹高에 따라 분류된 4개의 등급 각각에 총 4262본(55개 樹種)이 분포되어 있는 것으로 조사되었다. 각 등급의 植物社會學的 價値는 3.3, 2.4, 2.0, 2.3등로 나타났으며 이것을 통해 각 수종의 식물사회학적 위치를 확인할 수 있었다. 天然更新林分의 相對度 및 重要値 계산의 결과 다음과 같은 10大 樹種이 가장 중요한 것으로 나타났다. 즉, Cheiloclinium cognatum A.C. Smith, Piptadenia communis Benth., Faramea cyanea M. Arg., Xylopia sericea St. Hil., Copaifera lansdorfii Desf., Cupania vernalis Camb., Matayba guianensis Aublet, Virola sebifera Aublet, Ocotea densiflora Meissn 그리고 Didimopanax morototoni (Aublet) Dcne et P1. A survey of the natural regeneration of the gallery forest at the Sao Bartolomeu river, Federal District - Brazil it was carry out. Plots of 100 ㎡ let established the composition of the trees succession of one hectare. 4262 plants distributed in four classes according to the height were found. The phytosociological value of the classes was respectively 3,3 2,4 2,0 2,3 and through of them it was possible to identify the phytosociological position of the species. The results of the calculations of the relative index of the natural regeneration and value of importance shows that the most important species are Cheiloclinium cognatum A.C. Smith, Piptadenia communis Benth., Faramea cyanea M. Arg., Xylopia sericea St. Hil.,Copeifera lansdorfii Desf., Cupania vernalis Camb., Matayba guianensis Aublet, Virola sebifera Aublet, Ocotea densiflora Meissn and Didimopanax morototoni (Aublet) Dcne et P1.
-
A Comparison of Systematic Sampling Designs for Forest Inventory
Yim, Jong Su,Kleinn, Christoph,Kim, Sung Ho,Jeong, Jin-Hyun,Shin, Man Yong Korean Society of Forest Science 2009 한국산림과학회지 Vol.98 No.2
This study was conducted to support for determining an efficient sampling design for forest resources assessments in South Korea with respect to statistical efficiency. For this objective, different systematic sampling designs were simulated and compared based on an artificial forest population that had been built from field sample data and satellite data in Yang-Pyeong County, Korea. Using the k-NN technique, two thematic maps (growing stock and forest cover type per pixel unit) across the test area were generated; field data (n=191) and Landsat ETM+ were used as source data. Four sampling designs (systematic sampling, systematic sampling for post-stratification, systematic cluster sampling, and stratified systematic sampling) were employed as optimum sampling design candidates. In order to compute error variance, the Monte Carlo simulation was used (k=1,000). Then, sampling error and relative efficiency were compared. When the objective of an inventory was to obtain estimations for the entire population, systematic cluster sampling was superior to the other sampling designs. If its objective is to obtain estimations for each sub-population, post-stratification gave a better estimation. In order to successfully perform this procedure, it requires clear definitions of strata of interest per field observation unit for efficient stratification.
-
Integration of Digital Satellite Data and Forest Inventory Data for Forest Cover Mapping in Korea
( Jong Su Yim ),( Christoph Kleinn ),( Hyun Kook Cho ),( Man Yong Shin ) 한국산림과학회 2010 Forest Science And Technology Vol.6 No.2
Forest cover maps are a major product of the National Forest Inventory (NFI) system in Korea. The main objective of this study is to evaluate the potential of digital satellite imagery in combination with field plot data from the NFI to support forest cover classification. Field plot data from the NFI and Landsat TM for a test area were used to generate a forest cover map through pixel-wise classifiers. For classification, two pixel-wise classifiers, the Nearest Neighbor (NNC) and the Maximum likelihood (MLC) were applied and their results were compared with a classification from field plot data per sub-plot (n=970). The NNC yielded higher accuracy than the MLC. The estimated kappa for NNC was about twice as high as for MLC. The NNC classified image was also assessed using existing digital forest map derived from aerial photo interpretation as a reference. The accuracy, however, was modest (=0.28). The goodness-of-fit test indicates that the digital forest map and the MLC classified image differ significantly from the result of field plots, while a statistically significant difference between field data and the NNC classified image was not found.
-
Cluster plot optimization for a large area forest resource inventory in Korea
임종수,신만용,손영모,Christoph Kleinn 한국산림과학회 2015 Forest Science And Technology Vol.11 No.3
Cluster plots are a common plot design and have a very long history in large area forest monitoring. The aim of this study is to assist in determining a suitable cluster plot design for forest resources assessment in South Korea, to analyse both statistical and cost criteria. Twenty-five pilot cluster plots were measured, which consisted of 10 subplots arranged in a complex pattern cluster allowing the simulation of various cluster configurations. In our approaches to design optimization of the cluster plots, we took three statistical characteristics into account: the intra-cluster correlation; the geometric arrangements of the subplots; and standard error as an indicator of precision. The inventory costs were also investigated in terms of time consumption which are the basis of our analysis of economic efficiency. In the pilot cluster plot dataset, the covariance functions for the target attributes (growing stock, basal area, and number of trees) decreased with increasing distance up to about a distance of 100 m: a subplot distance of 87 m was found to be an adequate minimum distance to keep intra-cluster correlation at a low level. In our study, the intra-cluster correlation was influenced more by the spatial arrangement than by cluster size. For clusters of four subplots, a modified triangular cluster gave the best results for all target attributes. The cluster size affects the precision, as well as the total working time. From the results of both statistical and cost analysis, a modified triangular cluster of four subplots was found to be the most efficient cluster plot design for the forest conditions in the test area.
-
RISS
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
