SPOT5卫星遥感信息在森林资源调查中的应用现状与解决思路

介绍利用SPOT5卫星遥感在云南省森林资源调查中的应用情况,总结所取得的成果经验。分析存在的包括对遥感的内涵认识不足、特殊地类不易分辨、树种组成难判读、蓄积量不能直接判读、龄组和郁闭度判读因子粗放等问题,提出了解决问题的思路和建议。     

森林资源调查中Spot5卫星影像的处理方法

利用Spot5卫星进行森林资源调查时,首先要对遥感图像进行处理。文章介绍了处理环境对硬件和软件的要求。其处理过程包括影像配准、分辨率融合、影像拼接、色彩增强、分幅输出等。对其中的一些问题提出了个人见解。     

Efficiency of inventory plot patterns in quantitative analysis of vegetation: a case study of tropical woodland and dense forest in Benin

The main issue in forest inventory is the reliability of data collected, which depends on the shape and size of inventoried plots. There is also a need for harmonisation of inventoried plot patterns in West Africa. This study focused on the impact of plot patterns on the quantitative analysis of two vegetation types of West Africa based on case studies from Benin. Twenty and fifteen plots of 1 ha each were demarcated in dense forest and woodland, respectively. Each 1 ha plot was divided into 100 quadrats of 100 m² each and diameter at breast height (dbh) of trees was recorded in each quadrat. The required time to measuring trees diameter in each 1 ha plot was also recorded to compute the mean inventory effort. From the 100 quadrats in each 1 ha plot, 14 subplots of different shapes and sizes were considered by grouping together adjacent quadrats. The basal area of each subplot was computed and the relationship between estimation bias of the basal area and the size of subplots was modeled using Smith's Law (Smith 1938). The mean absolute error of the shape parameter c of Weibull distribution was computed for each of the subplot shape, size and direction. The direction and shape of subplots did not influence significantly (P > 0.05) the precision of the quantitative analysis of vegetation. However, square subplots were suitable in practice. On the contrary, plot size was significantly (P < 0.05) and inversely correlated to estimation efficiency. The optimal plot size for quantitative analysis of vegetation was 1 800 and 2 000 m2 with an inventory effort of 0.51 and 0.85 man-days per subplot in woodland and dense forest, respectively. It is concluded that use of standard sample sizes will help to harmonise a forestry database and to carry out comparisons at regional level.     

森林资源监测成果数据的差异与误差问题研究

长期以来,各类森林资源调查监测成果数据一直存在着差异问题,这一问题直接影响调查监测成果的使用和发布,亟待深入分析和研究解决。通过全面分析和梳理森林资源调查监测成果数据的差异问题,归纳其主要误差来源,并进行系统分类和深入分析,研究提出了解决数据差异与误差问题的方法和途径,对建立和完善全国森林资源一体化监测体系有所裨益。     

3种遥感卫星影像在云南省森林资源调查地类分类中的应用

根据2000年以来,云南省利用美国TM、印度IRS-P6、法国SPOT-5三种卫星影像进行森林资源调查地类分类的应用实践,提出3种卫星影像在森林资源地类分类划分中的优缺点,以及提高卫星影像在森林资源调查中地类分类精度的方法、建议。     

事后分层抽样技术在森林资源二类调查中的应用

回顾抽样技术在我国森林资源二类调查中的发展应用,介绍事后分层抽样技术的应用场合、抽样方法及理论基础.认为事后分层抽样理论完善、操作简便,在总体信息掌握不全的情况下应用,既可提高抽样精度,又可降低调查成本.以2005年砚山县森林资源二类调查中抽取的1293个角规控制检尺样地的样本数据为例,以事后分层抽样与系统抽样作比较,抽样精度明显提高.     

A diameter growth index method for standardization of forest data inventoried at different dates

A model of tree diameter growth during the growth season was developed to standardize the forest data from different inventory dates. A diameter growth index is defined and its relation with the number of growing days is established. Parameters characterizing this relationship are estimated using accurate tree ring width measurements and other stand and tree related variables from the Swedish National Forest Inventory data for 1989. The residual analyses show that the model is an effective expression of the actual growth and the results are consistent with an earlier used tree growth model. Some climatic data are tested for model improvement, but no essential improvement is gained given the data available.     

关于对平原地区森林资源抽样调查方法的思考

平原地区森林资源抽样调查结果能否准确反映其造林绿化成效,已经日益受到广泛关注。首先对平原地区森林资源的分布特点进行了分析,阐述了现行抽样调查方法存在的主要问题,并提出了改进平原地区森林资源抽样调查方法的建议。     

美国森林资源调查方法的变化对我们的启示

简要回顾了中美两国的国家级森林资源清查发展的历史,对抽样设计、样地设置与统计方法和机构人员情况进行了较详细的讨论,重点介绍了美国正在建立的森林清查综合监测系统的抽样框架和布局;并对中美两国在立法、人员、经费和监测内容等方面进行了比较;结合其他国家森林清查情况,在抽样体系、样地设计等方面提出了改进我国森林资源监测体系的建议.     

年龄隐含的生长模型在森林资源连续清查中的应用

根据森林资源监测体系的特点，将年龄隐含的生长模型应用于森林资源连续清查，这种模型不需要年龄，其误差与预测年限△Ａ有关，当△Ａ＝Ｏ时，误差为零，用Ｊｏｈｎｓｏｎ－Ｓｃｈｕｍａｃｈｅｒ模型作为以年龄为自为量的模型，以荆基础模型导出的年龄含模型为例进行了试验，数据为浙江小一类表查数据中的１９８９－１９９４年的以复位样本数据。计算例子表明，５ａ定期生长量的总和估计精度９５％的概率保证下可达８０％以上。文章