A Special Vegetation Index for the Weed Detection in Sensor Based Precision Agriculture

Many technologies in precision agriculture (PA) require image analysis and image- processing with weed and background differentiations. The detection of weeds on mulched cropland is one important image-processing task for sensor based precision herbicide applications. The article introduces a special vegetation index, the Difference Index with Red Threshold (DIRT), for the weed detection on mulched croplands. Experimental investigations in weed detection on mulched areas point out that the DIRT performs better than the Normalized Difference Vegetation Index (NDVI). The result of the evaluation with four different decision criteria indicate, that the new DIRT gives the highest reliability in weed/background differentiation on mulched areas. While using the same spectral bands (infrared and red) as the NDVI, the new DIRT is more suitable for weed detection than the other vegetation indices and requires only a small amount of additional calculation power. The new vegetation index DIRT was tested on mulched areas during automatic ratings with a special weed camera system. The test results compare the new DIRT and three other decision criteria: the difference between infrared and red intensity (Diff), the soil-adjusted quotient between infrared and red intensity (Quotient) and the NDVI. The decision criteria were compared with the definition of a worse case decision quality parameter Q, suitable for mulched croplands. Although this new index DIRT needs further testing, the index seems to be a good decision criterion for the weed detection on mulched areas and should also be useful for other image processing applications in precision agriculture. The weed detection hardware and the PC program for the weed image processing were developed with funds from the German Federal Ministry of Education and Research (BMBF).     

Precision Measurements from Very-Large Scale Aerial Digital Imagery

Managers need measurements and resource managers need the length/width of a variety of items including that of animals, logs, streams, plant canopies, man-made objects, riparian habitat, vegetation patches and other things important in resource monitoring and land inspection. These types of measurements can now be easily and accurately obtained from very large scale aerial (VLSA) imagery having spatial resolutions as fine as 1 millimeter per pixel by using the three new software programs described here. VLSA images have small fields of view and are used for intermittent sampling across extensive landscapes. Pixel-coverage among images is influenced by small changes in airplane altitude above ground level (AGL) and orientation relative to the ground, as well as by changes in topography. These factors affect the object-to-camera distance used for image-resolution calculations. ‘ImageMeasurement’ offers a user-friendly interface for accounting for pixel-coverage variation among images by utilizing a database. ‘LaserLOG’ records and displays airplane altitude AGL measured from a high frequency laser rangefinder, and displays the vertical velocity. ‘Merge’ sorts through large amounts of data generated by LaserLOG and matches precise airplane altitudes with camera trigger times for input to the ImageMeasurement database. We discuss application of these tools, including error estimates. We found measurements from aerial images (collection resolution: 5–26 mm/pixel as projected on the ground) using ImageMeasurement, LaserLOG, and Merge, were accurate to centimeters with an error less than 10%. We recommend these software packages as a means for expanding the utility of aerial image data.     

基于IPA理论的会展旅游目的地形象研究——以苏州市为例

在分析会展旅游目的地形象内涵与构成要素的基础上,以苏州为例,通过实地调研与访谈获取数据,并根据IPA理论分析苏州会展旅游目的地形象的基本特点,提出城市会展旅游目的地形象的提升策略,以期为同类型城市发展会展旅游提供借鉴与参考.     

应用腰鞭毛虫评价水体重金属污染的方法研究

鉴于腰鞭毛虫(dinoflagellates)生物毒性测试方法尚处于起步阶段,缺少各种污染物相应的毒性评价标准.利用美国海军研发的高新技术QwikLiteTM测试腰鞭毛虫发光量变化,应用腰鞭毛虫对重金属的响应关系评价水体重金属污染.结果表明,单一重金属的生物毒性Hg2+>Cu2+>Cd2+>As5+>Pb2+>Cr6+;2种、3种和4种重金属联合毒性基本以协同作用为主,个别有拮抗现象;pH对腰鞭毛虫影响不显著,可以直接将其应用于天然水体的生物毒性测试,但是pH对Hg2+和Cu2+的毒性有较大影响,测定这2类离子时需扣除pH影响;腰鞭毛虫不易受水体中营养物质影响,COD变化对腰鞭毛虫与Hg2+、Cd2+的响应关系影响显著.腰鞭毛虫对重金属污染敏感性好,响应范围窄,稳定性高,是水体重金属生物毒性测试的良好物种.     

澳门夏季大气颗粒物单颗粒微观形貌分析

应用高分辨率场发射扫描电镜(FESEM)和图像分析技术,研究了澳门地区夏季(2007年7月)大气可吸入颗粒物的形貌特征以及不同种类颗粒物的数量-粒度和等效体积-粒度分布.结果表明,澳门可吸入颗粒物中,烟尘集合体和矿物颗粒普遍存在;矿物颗粒为不规则状,烟尘集合体有链状、蓬松状等形态;烟尘集合体在数量上平均分别约占30%～40%,矿物颗粒在数量上平均分别约占20%,烟尘集合体颗粒较多说明澳门夏季受机动车尾气影响较重.澳门大气PM₁₀的等效粒径主要分布在0.2～0.4　μm范围内,主要为较细粒子.颗粒物种类有明显的地点差异,交通繁忙的高士德马路路口以烟尘集合体居多(平均47%),且其粒径在较宽范围内都有分布（0.1～0.8 μm）;隧道内亦以烟尘集合体的比例较大,可高达59%;货运码头采样点以矿物颗粒较多.     

智能巡检机器人在自然环境试验中的应用探讨

目的 探索建立自然环境试验智能巡检系统,使用机器人替代部分人工巡检工作。方法 通过分析巡检作业环境和巡检任务,确定智能巡检机器人的功能要求和技术参数,进而开展机器人本体结构设计,融合控制后台、远程数据库等设备,实现智能巡检系统构建。结果 开展了智能巡检数据采集的使用验证,巡检机器人采集的样品图像对焦清晰、分辨率高,样品在图像中的位置大小合理,腐蚀特征展示清楚。巡检系统可对样品图像进行自动分割和智能识别,对蚀点、流痕等损伤特征识别准确,精度可达0.1%。结论 智能巡检系统可以满足自然环境试验的巡检要求,替代人工完成部分巡检工作,智能巡检数据便于入库和使用挖掘,对于自然环境试验的数字化转型有积极的推动作用。     

青藏高原东北侧突发性暴雨特征综合分析

对1970-2007年发生在青藏高原东北侧陕西的突发性暴雨研究发现,其夜间降水特点明显,对流层中层较强的偏南气流是突发性暴雨水汽输送贡献最大者和低层辐合的主要动力来源。偏南气流北伸的位置决定突发性暴雨落区偏南或偏北,300hPa一致的纬向12～20m·s-1强风速带为突发性暴雨提供高层抽吸作用。上述两点对突发性暴雨落区有一定的预报指示意义。云图分析显示,突发性暴雨多有中尺度云团配合,上升运动最大值的高度层与突发性暴雨落区地域位置有关。     

图像处理在弹琴蛙(Rana adenopleura)蝌蚪生物监测研究中的应用

利用图像处理方法对不同质量浓度的阿特拉津溶液(1mg／L、5mg／L、10mg／L、15me／L)中弹琴蛙(Rana ade-nopleura)蝌蚪行为进行了图像的识别及分析．根据实验结果，利用MATLAB语言编写了弹琴蛙蝌蚪在水族缸中具体分布型判定的程序，采用了负二项分布的参数κ值来反应不同溶液中蝌蚪聚集程度的差异，并作为该指示生物监测阿特拉津水体污染情况的一个指标．结果显示，该程序可如实反映不同污染水体中蝌蚪的聚集程度：经χ^2检验各种水体中蝌蚪均符合负二项分布，同时阿特拉津溶液中蝌蚪的κ值均小于空白对照和丙酮对照，表明阿特拉津溶液的浓度和蝌蚪的聚集程度相关．图9表1参14     

Quantifying landscape-ecological succession in a coastal dune system using sequential aerial photography and GIS

Summary This contribution presents an attempt to measure the path of habitat and vegetation succession in a coastal dune system (Kenfig Burrows, South Wales) using remote sensing and GIS. The loss of slack habitats associated with the continuing stabilization of this dune system is a major cause for concern. These habitats support a range of plant species, including the rare fen orchid,Liparis loeselii, as well as other hydrophytes. A decrease in their areal extent implies a reduction in biodiversity. To quantify the overall rate and spatial dimension of these changes, a series of aerial photographs dating from 1962 to 1994 were digitized and analysed in an image processing system. The resultant maps. transferred to a vector-based GIS, were used to derive a transition matrix for the dune system over this period of time. The results indicate that there has been a marked reduction in the total area of bare sand (19.6% of the dune system in 1962, but only 1.5% in 1994) and a decline in both the areal extent and the number of dune slacks. Over the same period of time, there has been an increase inSalix repens dominated habitats, at the expense of pioneer species. Analysis of the habitat maps, together with hydrological data, within the GIS suggests that even the dry slacks have the potential for further greening and to support invasive species. In terms of habitat management however, there is still scope to restore many of the slacks to their original state. It is estimated that at least 24% of the area occupied by partially and moderately vegetated slacks could be rehabilitated.     

人工湿地植物无损监测方法的建立与应用

人工湿地植物生物量的测定是研究人工湿地植物生长特性和去污性能的重要基础。目前常用的人工湿地植物生物量的测定方法繁琐,难以实现无损检测。以湿地植物梭鱼草和香蒲为例,结合自主设计的人工湿地植物生长信息提取软件,快捷、无损地测定湿地植物投影面积和质量,提出人工湿地植物无损监测方法。结果表明:湿地植物梭鱼草、香蒲的植株投影面积与植株株高呈极显著的线性相关关系,相关系数R分别为0.834~0.940 和0.707~0.904(P<0.01);梭鱼草的平均植株投影面积与其所在人工湿地池的TN、TP累积量具有显著相关性(P<0.05),香蒲的平均植株投影面积与其所在人工湿地池的TN、TP累积量相关性显著性系数分别为P=0.002和P=0.056。