三明市珍稀野生植物资源调查

在结合参考1990年以来三明全市名木古树调查、各自然保护区植被调查的基础上,对1999年至2001年全市各县区珍稀野生植物资源调查资料进行市级汇总,得出52个目的物种资源调查结果,并通过分析评价其资源现状,提出结论与建议。     

"3S"技术在森林资源二类调查中的应用前景

通过“3S”技术和传统方法在森林资源二类调查中的应用的比较,“3S”技术在工作量、费用、精度等方面均优于传统技术,在实践中值得推广。     

掌上森林资源调查仪(PDA)二类调查软件的开发应用及特点

阐述了对PDA二类调查软件的研究、实验与应用的过程,总结了调查软件的图像处理及显示、图层设计及调查数据存储、库文件接口程序、导航与定位、资源调查、调查数据统计等功能及特点,对软件作用与发展进行了论述.     

GPS手持机在森林资源连续清查中的应用探讨

对手持式GPS接收机在森林资源连续清查中应用方法如:地理坐标参数的获取、计算和设置;在样地初设及复查时的应用作了论述,认为应用其可减少工作量,提高定位精度和复位率,有利于质量管理.     

Effects of auxiliary data source and inventory unit size on the efficiency of sample-based coarse woody debris inventory

The efficiency of a sample-based inventory can be greatly improved if lower cost information on the study area is utilized. It has been observed that the use of airborne laser scanning (ALS) data in the design phase may improve the efficiency of dead wood (coarse woody debris, CWD) volume inventory notably, i.e. a smaller standard error of the mean is observed with the same inventory costs. In the present case, several auxiliary data sources were employed in the design phase by using ‘probability proportional to size’ sampling to select the sample units to be inventoried in the field. It was observed that a combination of ALS data with either aerial photographs or stand-register data can improve the sampling efficiency even more than the use of ALS as a single data source. Since these additional data sources are often gathered for the inventory of living trees, their use does not incur extra expenses for CWD assessment. Thus, the use of these data separately or together with ALS data can greatly improve the cost-efficiency of a CWD volume inventory. It was also observed that the size of the sample units has a slight effect on the sampling efficiency. Even though the improvement in the sampling efficiency was usually greater with larger sample unit sizes, the CWD volume inventory was most efficient with moderate grid cell sizes.     

对我国LULUCF碳计量监测方法的探讨

围绕我国林业编制温室气体清单这一重要工作,介绍了IPCC关于LULUCF温室气体清单编制系列技术指南的技术要点和要求,阐明了我国林业温室气体清单编制工作的进展,提出了林业开展LULUCF碳监测工作未来面临的需求。同时,在分析美国、欧盟、加拿大等发达国家LULUCF温室气体清单编制做法和经验的基础上,提出了在森林资源清查样地系统上构建、新布设LULUCF大样地系统等2种开展LULUCF碳监测的思路,目的是为推动我国林业LULUCF碳监测达到国际先进水平提供建议。     

库存管理系统分类与选择的研究

根据各种库存管理系统的特点、持有量及所占资金额度对库存进行分类、分析,并提出了针对企业内不同存货类型选择相适应的库存管理系统的观点,对充分整合企业现有资源、加强库存管理有着十分重要的意义。     

Developing an airborne laser scanning dominant height model from a countrywide scanning survey and national forest inventory data

Abstract

An airborne laser scanning (ALS) dominant height model was developed based on data from a national scanning survey with the aim of developing a digital terrain model (DTM) for Denmark. Data obtained in the ongoing Danish national forest inventory (NFI) were used as reference data. The data comprised a total of 2072 measurements of dominant height on NFI sample plots inventoried in 2006–2007 and their corresponding ALS data. The dominant height model included four variables derived from the ALS point cloud distribution. The variables were related to canopy height, canopy density and species composition on individual plots. The RMSE of the final model was 2.25 m and the model explained 93.9% of the variation (R ²). The model was successful in predicting dominant height across a wide range of forest tree species, stand heights, stand densities, canopy cover and growing conditions. The study demonstrated how low-density ALS data obtained in a survey not specifically aimed at forest applications may be used for obtaining biophysical forest properties such as dominant height, thereby reducing the overall forest inventory costs.     

A fine-scale model for area-based predictions of tree-size-related attributes derived from LiDAR canopy heights

Abstract

We propose a conceptual (generic) allometric (power function) relationship between tree-size-related forest inventory attributes (e.g. biomass, volume, basal area, quadratic mean diameter, Lorey's height) and canopy height (CH) as estimated from first-return airborne light detection and ranging (LiDAR) pulses. A data-driven estimation of the parameters in the power function is complicated, so we recommend an alternative approximation obtained via a linearisation step. Only two predictors appear in the approximation: the mean CH and the variance of CHs within the spatial domain supported by field data. The proposed model eliminates an otherwise complex search for the best predictors amongst a large number of candidate LiDAR metrics. It also facilitates model comparisons and interpretation. Fit statistics estimated for volume, basal area, quadratic mean diameter and Lorey's height – using three separate datasets from Norway – were compelling.