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应用遥感技术、地理信息系统和野外观测数据,评估了热带森林环境下地上生物量和木材蓄积量。用于模拟森林属性的这些数据具有地理特异性和高度的不确定性,因此,这方面需要开展更多的研究工作。选取了16个试样地带1460个样地,测定树木胸径及其他用于评估生物量的其他森林属性。本实验在印尼加里曼丹东部的热带雨林开展。应用现有的胸径-生物量公式来评估地上生物量密度。估测值在研究区修正的GIS地图上重叠显示,计算各种地被物的生物量密度。用样品数据子集表达遥感方法来形成地上生物量和材积线性方程模型。皮尔森相关统计检验采用ETM条带反射率、植被指数、图像变化图层、主成分分析条带、缨帽变换、灰度共生矩阵纹理特征和DEM数据作为预报值。在显著的遥感数据中形成了两个线性模型。为了分析每块地被物总的生物量和材积量,对2000年到2003年卫星ETM图进行了预处理、最大似然估计法分类和主体分析过滤。遥感方法获得的结果表明:材积量为(158±16)m3·hm-2,地上生物量为(168±15)t·hm-2;而野外测定和地理信息系统估计的结果分别是材积量为(157±92)m3·hm-2、地上生物量为(167±94)t·hm-2。用多个瞬间ETM数据评估了从2000年到2003年间的生物量丰富度动态,结果发现这一时期总生物量呈略微的下降趋势。遥感技术评估的生物量丰富度低于地理信息系统和野外测定的结果。前一种测定方法估计2000年和2003年总生物量分别是10.47Gt和10.3Gt,而后一种则估计11.9Gt和11.6Gt。还发现,灰度共生矩阵纹理特征与材积量和生物量之间存在较强的相关性。图7表9参43。
Using remote sensing technology, geographic information system and field observations, the aboveground biomass and wood stock volume in tropical forest were evaluated. The data used to model forest attributes are geographically specific and highly uncertain, and more research is needed in this area. A total of 1460 plots of 16 samples were selected to determine the DBH and other forest attributes used to assess biomass. This experiment was conducted in the tropical rain forest in eastern Kalimantan, Indonesia. Apply the available DBH - biomass formula to estimate aboveground biomass densities. The estimates are overlaid on GIS maps revised in the study area to calculate the biomass densities for each variety. A remote sensing method is used to express the above-ground biomass and volume linear equation model with the sample data subset expression. Pearson’s correlation statistics test used ETM strip reflectance, vegetation index, image change layer, principal component analysis strip, tassel cap transformation, gray level co-occurrence matrix texture feature and DEM data as prediction values. Two linear models are formed in the salient remote sensing data. In order to analyze the total biomass and volume of each land cover, satellite ETM maps from 2000 to 2003 were pre-processed, classified by maximum likelihood estimation and filtered by subject analysis. The results obtained by remote sensing method showed that the volume of soil volume was (158 ± 16) m 3 · hm-2 and the aboveground biomass was (168 ± 15) t · hm-2. The results of field measurement and geographic information system estimation were volumetric (157 ± 92) m 3 · hm-2 and the above-ground biomass was (167 ± 94) t · hm-2. Multiple transient ETM data were used to assess the dynamics of biomass abundance from 2000 to 2003 and found a slight downward trend in total biomass during this period. The abundance of biomass assessed by remote sensing is lower than that of GIS and field measurements. The former method estimated total biomass of 10.47Gt and 10.3Gt in 2000 and 2003 respectively, while the latter estimated 11.9Gt and 11.6Gt. It is also found that there is a strong correlation between texture features of grayscale co-occurrence matrix and volume of material and biomass. Figure 7 Table 9 参 43.