Historical forest biomass dynamics modelled with Landsat spectral trajectories     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

Estimation of forest aboveground biomass (AGB) is informative of the role of forest ecosystems in local and global carbon budgets. There is a need to retrospectively estimate biomass in order to establish a historical baseline and enable reporting of change. In this research, we used temporal spectral trajectories to inform on forest successional development status in support of modelling and mapping of historic AGB for Mediterranean pines in central Spain. AGB generated with ground plot data from the Spanish National Forest Inventory (NFI), representing two collection periods (1990 and 2000), are linked with static and dynamic spectral data as captured by Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) sensors over a 25 year period (1984–2009). The importance of forest structural complexity on the relationship between AGB and spectral vegetation indices is revealed by the analysis of wavelet transforms. Two-dimensional (2D) wavelet transforms support the identification of spectral trajectory patterns of forest stands that in turn, are associated with traits of individual NFI plots, using a flexible algorithm sensitive to capturing time series similarity. Single-date spectral indices, temporal trajectories, and temporal derivatives associated with succession are used as input variables to non-parametric decision trees for modelling, estimation, and mapping of AGB and carbon sinks over the entire study area. Results indicate that patterns of change found in Normalized Difference Vegetation Index (NDVI) values are associated and relate well to classes of forest AGB. The Tasseled Cap Angle (TCA) index was found to be strongly related with forest density, although the related patterns of change had little relation with variability in historic AGB. By scaling biomass models through small (∼2.5 ha) spatial objects defined by spectral homogeneity, the AGB dynamics in the period 1990–2000 are mapped (70% accuracy when validated with plot values of change), revealing an increase of 18% in AGB irregularly distributed over 814 km² of pines. The accumulation of C calculated in AGB was on average 0.65 t ha⁻¹ y⁻¹, equivalent to a fixation of 2.38 t ha⁻¹ y⁻¹ of carbon dioxide.  相似文献   

MetroIn在大尺寸天线罩安装测量中的应用     

王瑞鹏  李东敏  李广云  范百兴 《测绘工程》2014,23(11):43-45

阐述大尺寸天线罩的高精度安装测量方案,基于MetroIn工业测量软件平台对测量数据进行处理和分析,全方位实时指导天线罩的现场安装.通过对一台口径为5m的天线进行防护罩安装测量,验证方案的正确性,表明其理论和技术成功可行.  相似文献   

以大比例尺扫描地形图为参考的卫星影像纠正方法研究     

赵羲 《测绘与空间地理信息》2014,(11)

采用一维仿射变换对扫描地形图进行定向,并以此为控制参考,利用多项式纠正算法对无传感器参数的卫星影像进行纠正,并分析了纠正误差。  相似文献   

基于Contourlet域HMT和D-S证据融合的SAR图像分割     

吴艳  焦惊眉  杨晓丽  肖平  李明 《测绘学报》2011,40(2)

针对Contourlet的多尺度、局部化、方向性和各向异性等优点,结合隐马尔科夫树(hidden Markov tree,HMT)模型和D-S(Dempster-Shafer)证据理论,提出一种新的SAR图像分割算法。该算法首先将隐马尔科夫树模型推广到Contourlet域,在多尺度HMT上采用D-S证据融合理论有效地融合Contourlet系数的持续性和聚集性,最后导出融合后的最大后验多尺度分割公式。本文算法对实测SAR图像进行分割试验,试验结果表明:与小波域上的HMT-MRF(Markovrandom field,MRF)融合分割及Contourlet域上HMT和MRF分割算法相比,本文算法在抑制斑点噪声的同时,可有效地提高SAR图像的分割精度。  相似文献   

Monitoring stress levels on rice with heavy metal pollution from hyperspectral reflectance data using wavelet-fractal analysis     

Meiling Liu  Xiangnan Liu  Weicui Ding  Ling Wu 《International Journal of Applied Earth Observation and Geoinformation》2011

Remote sensing allows monitoring heavy metal pollution in crops for agricultural production and food security. This paper presents an approach to wavelet-fractal analysis for exploring a set of sensitive spectral parameters to monitor the heavy metal pollution levels in rice crops from hyperspectral reflectance data. Hyperspectral and biochemical data were collected from three study farms in Changchun, Jilin Province, China. Our study explored the fractal dimension of reflectance with wavelet transform (FDWT) that demonstrated a better performance than other existing methods. Our results obtained in this study show that the red edge position (REP) was the most sensitive indicator for monitoring the heavy metal pollution levels in rice crops among common indices. As compared with REP, the FDWT is more sensitive to biochemical composition, namely with respect to chlorophyll concentrations, N, Cu and Cd. The established linear models showed a correlation coefficient (R²) above 0.70, model efficiency (ME) above 0.65 and a root mean square error (RMSE) below 3.5. Minimum FDWT values occurred in rice with Level II pollution followed by Level I pollution, and finally the safe level. This study suggests that wavelet transform is well suited as a spectral analysis method to eliminate noise and amplify the stress information from heavy metals. The wavelet transform in conjunction with fractal analysis is promising for detecting heavy metal-induced stress in rice crops.  相似文献   

一种基于小波变换的波达方向估计方法     

王兆瑞  张杰 《测绘学报》2011,(Z1):111-114

通过利用最大重叠离散小波变换对信号进行预处理,以减小噪声的功率,从而提高信噪比,使传统的波达估计方法在低信噪比情况下也能正常使用;所用的小波变换方法不要求数据长度为2的整数次方,且具有移位不变性,使得该方法的实用性更强;最后,通过数字仿真试验验证该方法的有效性。  相似文献   

基于子带内小波系数相关性的遥感图像滤波     

武海洋  王慧  贺峥嵘 《测绘工程》2011,20(2):39-42

滤波是遥感图像处理和应用过程中必不可少的一个环节.传统的小波域滤波方法对所有的细节小波系数逐一进行独立的收缩处理,而没有顾及小波系数之间的相关性,因而不具备较强的鲁棒性和适应性.文中提出一种基于小波系数聚集性分布的滤波策略.该方法认为小波系数的分布具有集中性,对当前的系数在邻域内计算其能量,而后将其纳入系数的收缩策略,...  相似文献   

基于 GVF 和 Snake 模型的高分辨率遥感图像四元数空间道路提取   总被引：3，自引：2，他引：1  

唐伟  赵书河 《遥感学报》2011,15(5):1040-1052

基于Snake模型的优势及缺陷,提出一种高分辨率多光谱图像道路提取方法。通过建立多光谱图像信息的四元数表达式,解决Snake模型应用于多光谱图像的局限性;通过多光谱图像四元数空间标记分水岭分割,获取道路初始轮廓,解决道路初始边界设置问题;通过梯度矢量流模型迭代求解,解决道路凹陷位置逼近问题,最终实现道路提取。用QuickBird 高分辨率多光谱遥感数据验证方法的可行性,与直接采用Snake 模型进行道路提取结果相比,本文所提出的方法对于高分辨率影像上的高等级道路提取具有较好的精度。  相似文献   

基于DCT分层结构的遥感图像分级多描述编码算法     

王相海  方锦  宋传鸣 《遥感学报》2011,15(5):989-1007

多媒体及网络技术的快速发展使遥感图像的实时传输成为可能。近年来,多描述编码机制作为一种有效克服不可靠信道传输时遥感图像降质的可选方案而受到关注。本文将多描述编码与图像质量可分级编码机制相结合,提出一种基于DCT分层结构的遥感图像分级多描述编码方案,将包含图像细节信息的增强层通过下采样形成多个描述,并将包含图像关键信息的基本层作为冗余引入到每个描述中,保证了在解码端获取遥感图像基本层信息的最大可能性。此外,方案中对描述中的基本层信息进行了独立嵌入式编码,可方便对其进行有效的信道传输保护,提高传输码流的稳健性。本文编码方案具有计算复杂度低、描述间的冗余度方便控制和编码码流具有嵌入式等特性。实验结果验证了方案的有效性。  相似文献   

利用小波变换的高分辨率多光谱遥感图像多尺度分水岭分割   总被引：4，自引：2，他引：2  

陈杰  邓敏  肖鹏峰  杨敏华  梅小明  刘慧敏 《遥感学报》2011,15(5):908-926

为了减少仅用分水岭变换而导致的过分割问题,本文提出利用小波变换的多尺度处理方式用于融合后多光谱QuickBird图像的分割。整个分割过程包括多尺度图像表示、图像分割、区域合并和结果映射等过程。首先,依据原始图像的大小确定分解尺度并用小波变换产生各波段的低尺度图像。采用相位一致模型提取各近似系数的梯度,并逐尺度地融合各梯度图。分析不同尺度下的不同地物的局部梯度方差,以选择最佳的小波分解尺度。然后,通过移动阈值与扩展最小变换,利用多层次标记提取方法标记均质区域。进而,在梯度重建的基础上利用标记分水岭变换得到分割图像。其次,采取空间相邻关系、面积、光谱与纹理等多约束策略,以搜索最小合并代价的方式合并最初分割区域中的邻接区域对。最后,修改细节子图并进行小波逆变换将最初分割结果投影到更高尺度图像,同时处理边界上的像元以保持区域边界直至原始图像。实验结果表明本文方法不仅能够用于高分辨率多光谱遥感图像的分割,而且缓解了过分割问题且取得了较准确的分割效果。  相似文献