Analysis of Canopy Structure in Beech (Fagus crenata) Secondary Forests using an Airborne Laser Scanner(<Special Issue>Silvilaser)
スポンサーリンク
概要
- 論文の詳細を見る
Airborne Light Detection and Ranging (LiDAR) is a useful tool for scaling up physiological processes from an individual tree to the landscape level, because it can measure parameters that are related to canopy structure. The objectives of this study were (1) to calculate the canopy and stand parameters that characterize the heterogeneity of beech canopies and stands from LiDAR data and (2) to examine the applicability of these parameters by comparing them with field census measurements. A total of eight census plots with various stand structures were set up in beech forests on the Appi plateau (Iwate Pref., northern Japan) and on Mt. Naeba (Niigata Pref., central Japan). LiDAR data was used to calculate several parameters for describing canopy structure: gap ratio; mean canopy height; standard deviation (SD) and coefficients of variance (CV) of canopy height models (CHMs); canopy and stand surface area derived from the CHMs and digital surface models. The gap ratios and CVs of the CHMs were closely related to basal area (BA), and it may be possible to use them to quantify this variable when factors such as low gap ratio and topographic condition are considered. The CV tended to increase with the gap ratio. In contrast, canopy surface area was not strongly related to the canopy structure parameters. Consequently, the gap ratio and the CVs of the CHMs are the preferable parameters for representing structural properties of beech stands. Further analyses are needed to understand uncertainties in the relationships (inter alia) between, gap sizes, canopy height and individual tree size.
著者
-
CHIBA Yukihiro
Forestry and Forest Products Research Institute
-
Awaya Yoshio
Forestry And Forest Products Research Institute
-
Kakubari Yoshitaka
Fucluty Of Agriculture Shizuoka University
-
Nishikami Ai
Forestry and Forest Products Research Institute
-
Awaya Yoshio
Forestry And Forest Products Res. Inst. Ibaraki Jpn
-
Nishikami Ai
Forestry and Forest Products Research Institute:(Present office)Colorado State University
関連論文
- Predicting chronosequential changes in carbon stocks of pachymorph bamboo communities in slash-and-burn agricultural fallow, northern Lao People's Democratic Republic
- VEGETATION CHANGE DETECTION USING LANDSAT DATA IN NORTHERN FINLAND : A TEST CASE USING SMOOTHING AND LAPLACIAN FILTERING (15th Symposium on Polar Biology)
- Estimation of whole-stem respiration, incorporating vertical and seasonal variations in stem CO_2 efflux rate, of Chamaecyparis obtusa trees
- Fine-root dynamics in a young hinoki cypress (Chamaecyparis obtusa) stand for 3 years following thinning
- Detection of Afforestation, Reforestation and Deforestation (ARD) by Visual Photo Interpretation of High Spatial Resolution Images : A Fundamental Case Study
- Monitoring the Target Region of the Kyoto Protocol Article 3.3 with LANDSAT/TM Data
- Analysis of Canopy Structure in Beech (Fagus crenata) Secondary Forests using an Airborne Laser Scanner(Silvilaser)
- Accuracy Assessment of ARD Detection by RS
- Application of Automatic Binarization Method for Nationwide Forest Area Mapping using Satellite Imagery
- Methodology of Detecting ARD area by Remote Sensing
- Development of a Prediction Probability Model to Monitor ARD Areas
- A Semi-empirical Topographic Correction Method based on the Relation between Slope-aspect and Mean Radiance.
- Estimating Mean Height and Stand Volume in Broad Leaved Forest Stands using LiDAR(Silvilaser)
- Special Feature for Detecting Afforestation, Reforestation, Deforestation using Remote Sensing and Geographical Information.
- Photosynthesis and growth of Thujopsis dolabrata var. hondai seedlings in the understory of trees with various phenologies