A method for mapping the distribution of willow at a catchment scale using bi-seasonal SPOT5 imagery

This study showed that seasonal imagery acquired at specific stages of phenology can be used to improve the mapping accuracy of invasive willow at a catchment scale. SPOT5 XI (10 m) satellite imagery was acquired for early autumn and winter to represent the phenological stages of leaf cover and leaf fall respectively. Four classification regimes were evaluated using single‐ and bi‐seasonal composite imagery to determine the most accurate method. Significant spectral noise was found in willow populations, especially in the winter image, due to the effects of undergrowth exposure, shadowing, topography and boundary‐mixed pixels. Two noise reduction techniques were applied to the bi‐seasonal composite image to improve the classification results. The noise‐reduced bi‐seasonal composite image was classified using the spectral angle mapper (SAM) algorithm before importation into a geographical information system. Aerial photography was used to reduce the errors of commission associated with misclassification of pastures. The class accuracy achieved for willow using the method described in this study was 77.5% (Kappa =0.87). The high cost of eradicating willow means that managers must establish priorities for control; this technique can provide a powerful tool for prioritizing control programmes and for monitoring results at a catchment scale.     

SPOT5遥感影像在林业二类调查中的应用

采用ERDAS IMAGINE图像处理软件,对青海省互助县境内的北山林场的SPOT5遥感影像进行处理,包括原始数据导入、正射纠正、影像融合、波段组合、影像增强等处理过程以及数字正射影像图(DOM)的制作。探讨SPOT5遥感影像在林业二类调查中的应用处理方法及SPOT5影像的应用前景。经现地验证,以SPOT5遥感卫星影像为底图,通过人机交互目视解译方法区划判读小班能满足林业二类调查的需要,该影像数据能作为1∶10000专题图制作的基础数据。     

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。     

Modeling forest aboveground biomass by combining spectrum, textures and topographic features

Many textural measures have been developed and used for improving land cover classification accuracy, but they rarely examined the role of textures in improving the performance of forest aboveground biomass estimations. The relationship between texture and biomass is poorly understood. In this paper, SPOT5 HRG datasets were ortho-rectified and atmospherically calibrated. Then the transform of spectral features is introduced, and the extraction of textural measures based on the Gray Level Co-occurrence Matrix is also implemented in accordance with four different directions (0°, 45°, 90° and 135°) and various moving window sizes, ranging from 3 × 3 to 51 × 51. Thus, a variety of textures were generated. Combined with derived topographic features, the forest aboveground biomass estimation models for five predominant forest types in the scenic spot of the Mausoleum of Sun Yat-Sen, Nanjing, are identified and constructed, and the estimation accuracies exhibited by these models are also validated and evaluated respectively. The results indicate that: 1) Most textures are weakly correlated with forest biomass, but minority textural measures such as ME, CR and VA play a significantly effective and critical role in estimating forest biomass; 2) The textures of coniferous forest appear preferable to those of broad-leaved forest and mixed forest in representing the spatial configurations of forests; and 3) Among the topographic features including slope, aspect and elevation, aspect has the lowest correlation with the biomass of a forest in this study. __________ Translated from Remote Sensing Information, 2006, 6: 6–9 [译自: 遥感信息]     

基于SPOT5遥感影像的样地判读

利用SPOT5卫星遥感资料在沾益县大坡乡进行了森林资源二类调查试点。共布设目视判读样地7711个、野外实测样地290个,其总体抽样精度为87 29%。介绍了工作方法,分析了判读结果和存在问题,提出了今后工作的思路。     

基于星站差分GPS及DEM的林区SPOT5数据正射校正

通过星站差分GPS采集高精度的地面控制点(GCP),结合林区1∶1万DEM数据和SPOT5物理模型对SPOT5数据进行正射校正。结果表明,采用该方法校正所有GCP总体中误差为1.337个像元,能够满足林业资源调查规划设计的要求。     

卫星遥感图像应用处理新模式的研究

卫星遥感图像增强与处理的研究旨在通过卫星遥感图像的处理,增强图像的显示质量,提高森林资源判读效果。通过应用ERDAS、ENYI遥感软件对TM、SPOT卫星数据的研究,实现资源调查卫片自主生产,降低了成本,提高了工作效率。     

利用ETM多光谱数据与SPOT5全色数据相融合进行森林资源调查

以ETM多光谱数据与SPOT5全色数据融合的遥感图像为对象,利用遥感图像和地面调查相结合的方法对吉林省东部山区进行森林资源调查,既可节约成本,又可提高调查精度,为遥感技术应用于森林资源调查设计探索了经验。     

两当县水土保持生态修复遥感监测技术初探

水土保持生态修复是一项注重依靠大自然的自我修复能力，在较短的时间内实现大面积水土流失初步治理，区域生态环境逐步恢复，人与自然和谐共处的水土保持措施。通过采用ETM＋SPOT融合卫星影像对两当县水土保持生态修复项目区进行本底监测，结果显示经过近3a的水土保持生态修复，项目区内植被状况发生了很大变化，植被覆盖率提高，植物群落向着正向演替的方向发展，水土流失面积和程度有所降低，各项生态因子明显改善。