基于GF-2影像西藏桑耶地区岩性-构造遥感解译

西藏桑耶地区位于青藏高原中南部,区内切割强烈,地势陡峻,属于高山峡谷区。为提高区域地质调查野外工作效率,在调查中率先开展了遥感解译研究。在充分收集已有资料的基础上,通过对GF-2卫星数据进行预处理和影像增强,结合野外验证建立了各地质要素的遥感解译标志,实现了区内不同地层岩性、侵入岩、断裂和褶皱等地质要素的提取,最终编制了研究区1:5万遥感地质解译图,为区域地质调查提供了数据支撑。结果表明: 各地质要素在GF-2数据上均有良好反映,完全满足1:5万尺度的遥感地质解译和编图的需要,充分显示出该卫星数据在区域地质调查等工作中具有良好的应用前景。     

Detection and mapping of bracken fern weeds using multispectral remotely sensed data: a review of progress and challenges

Bracken fern is one of the major invasive plants distributed all over the world currently threatening socio-economic and ecological systems due to its ability to swiftly colonize landscapes. The study aimed at reviewing the progress and challenges in detecting and mapping of bracken fern weeds using different remote sensing techniques. Evidence from literature have revealed that traditional methods such as field surveys and modelling have been insufficient in detecting and mapping the spatial distribution of bracken fern at a regional scale. The applications of medium spatial resolution sensors have been constrained by their limited spatial, spectral and radiometric capabilities in detecting and mapping bracken fern. On the other hand, the availability of most of these data-sets free of charge, large swath width and their high temporal resolution have significantly improved remote sensing of bracken fern. The use of commercial satellite data with high resolution have also proven useful in providing fine spectral and spatial resolution capabilities that are primarily essential to offer precise and reliable data on the spatial distribution of invasive species. However, the application of these data-sets is largely restricted to smaller areas, due to high costs and huge data volumes. Studies on bracken fern classification have extensively adopted traditional classification methods such as supervised maximum likelihood classifier. In studies where traditional methods performed poorly, the combination of soft classifiers such as super resolution analysis and traditional methods of classification have shown an improvement in bracken fern classification. Finally, since high spatial resolution sensors are expensive to acquire and have small swath width, the current study recommends that future research can also consider investigating the utility of the freely available recently launched sensors with a global footprint that has the potential to provide invaluable information for repeated measurement of invasive species over time and space.     

Assessing soil salinity using WorldView-2 multispectral images in Timpaki,Crete, Greece

Salinization is one of the major soil degradation threats occurring worldwide. This study evaluates the feasibility of operational surface soil salinity mapping based on state-of-the-art Earth Observation (EO) products captured by sensors on-board WorldView-2 (WV2) and Landsat 8 satellites. The proposed methods are tested in Timpaki, south-central Crete,Greece, where brackish water irrigation puts soil health at risk of soil salinization. In all cases, EO products are calibrated against soil samples collected from bare soil locations. Results indicate a moderate correlation of observed EC_e values with the investigated remote sensing parameters. Regarding sensitivity to saline soil, the yellow band displays higher values. Comparison between methods used in the literature shows that those developed specifically for soil salinity, and especially index S5, perform better. The proposed ‘detection index’ and 3D PCA transformation methodology perform reasonably well in detecting areas with high EC_e values and provide a simple and effective operational alternative for saline topsoil detection and mapping.     

TRANSIT: a GIS toolbox for estimating the duration of ancient sail-powered navigation

Cost-surface analysis in Geographic Information System (GIS) environment has been less frequently used in the study of ancient sail navigation than in other studies of the human past. Navigation cost-surface analysis entails the use of GIS tools that are versatile but not very easy to grasp and to put to work. This article describes an ArcGIS toolbox built to facilitate cost-surface analysis of ancient sail navigation. It estimates the navigation time from a start location, considering parameters relevant for the generation of an accumulated anisotropic cost-surface, automating the complex workflow required to meaningfully pre- and post-process the data. Acknowledging the limitations inherent to the tool, and to the modeling of a complex matter such as sail navigation, the toolbox is first described and then used in a worked example. Historically recorded voyages in the Mediterranean during classical antiquity are compared to estimated durations generated by the toolbox. In spite of structural and expected limitations, the results indicate that the proposed toolbox may produce reasonable estimates. These should be thought of as values gravitating around, not matching, likely past durations. The estimated values may prove useful as an indication of the order of magnitude of past voyages’ duration, and as frame of reference in measuring ancient maritime space through time.     

长江中下游六省大气甲烷柱浓度时空分布

甲烷(CH4)是造成气候变暖的主要温室气体之一。为了了解长江中下游水稻种植区CH4浓度的分布情况,本次研究基于温室气体观测卫星(greenhouse gases observing satellite,GOSAT)和大气红外探测仪(atmospheric infrared sounder,AIRS)卫星反演的数据产品,对我国长江中下游六省大气CH4柱浓度的时空分布特征进行了研究。研究结果表明,由GOSAT反演的长江中下游六省大气CH4浓度呈逐年增长趋势,其年均浓度由2011年的1817×10^?9增长至2018年的1875×10^?9,高于东三省、华北平原和全国平均水平。区域平均年增长量为8.2×10^?9 a^?1。各省年际增长幅度略有差异,纬度偏低的江西、湖南和浙江三省大气CH4浓度高且增长量偏大,纬度偏高的湖北、安徽和江苏三省大气CH4浓度略低且增长量偏小。长江中下游六省大气CH4呈现较强的季节变化特征,湖北、湖南、江西和浙江峰值出现在9月,安徽、江苏峰值出现在8月。垂直方向上长江中下游六省CH4浓度随气压降低,浓度逐渐减小,呈现出明显的季节变化特征,近地面层GOSAT反演的最高值出现在夏季,最低值出现在春季;高层最高值出现在秋季,最低值出现在春季。AIRS反演的大气CH4浓度空间分布上北高南低,与GOSAT反演结果不一致,可能由于AIRS主要反映了对流层中层大气状况而GOSAT更多的反映了近地面层大气CH4的变化。其垂直方向上呈现高度越高,浓度越低,不同高度上秋季浓度均最高。     

气象卫星接收天线标校技术及应用

在过去的几十年中,我国气象事业的不断发展,中国风云气象卫星完成了从试验应用型向业务服务性的不断转型,因此对于卫星信号接收天线的可靠性和指向精度要求越来越高。目前用于接收风云系列极轨气象卫星下行信号的天线主要有12m和4.2m天线,其具有动态特性高、波束宽度窄等特点,因此需要在天线安装和运行期间对天线的轴系误差进行精确的标定和校准。本文在传统标校方法的基础上,提出了利用太阳进行的误差标校技术,进一步降低了标校环节的复杂程度,提高了标校精度。     

感热加热对华北及其周边对流活动的影响

利用2006～2017年风云气象卫星资料和气象再分析资料,对华北及周边5～8月对流活动和地面感热加热进行统计分析。分析表明,华北及周边白天平均感热加热和地形关系密切,内蒙古中部和东南部、华北北部和华北西部山区感热加热较强,最强感热加热出现在5月和6月,7月和8月明显减弱。和感热加热强度相对应,对流活动频率较高的月份同样出现在5月和6月,其中5月以弱对流为主,6月华北中北部强对流最活跃,另外,环渤海区域6～7月强对流相对频繁。5～8月日平均感热加热和对流频率趋势呈现一致的减弱对应关系。上午,感热加热引起河北西部和北部对流层低层出现辐合气流,700 hPa以下出现不同程度的增温,上升气流可达对流层中层,东侧的平原地区出现补偿下沉运动,升温和上升运动触发对流,在有利条件下发展东移。不同月份和区域对流频率日变化呈现明显差异,6月对流频率日变化显著,8月最弱,山区对流频率日变化显著,东部渤海及周边对流频率日变化较小。对流频率的月平均分布和日变化均表现出和地形相关的感热加热差异的特征。     

基于ERA5的快速辐射传输模式与FY-4A成像仪观测结果的偏差分析

2016年12月发射升空的FY-4A是中国第二代静止轨道气象卫星,该星上搭载了可提供东半球近实时高分辨率卫星观测数据的扫描辐射成像仪——AGRI（Advanced Geostationary Radiation Imager）。在其观测数据应用于大气参数反演或同化前,数据偏差的定量化分析是一个必要环节。采用快速辐射传输模式RTTOV（Radiative Transfer for the TIROS Operational Vertical Sounder）,基于欧洲中期天气预报中心（ECMWF）第5个全球再分析数据产品（ERA5）对AGRI的7个红外通道（通道08—14）进行了模拟,并利用MODIS云检测产品对模拟结果进行了晴空筛选,以期得到一些对AGRI的定量应用有价值的偏差分析结果。观测-模拟（O-B）的偏差分析结果显示:海洋和陆地上,通道10（7.1 μm）存在明显大于其他红外通道的系统性偏差,这很可能来源于ERA5在对流层中层对水汽的高估。通道08为近红外短波通道,地表反射作用影响强烈,陆地上存在较大的平均偏差,而海洋上平均偏差小于0.4 K。通道14在ERA5近地层气温偏高及定标偏差的影响下,海洋存在接近1 K的平均偏差;陆地上存在2 K左右的平均偏差。其余各红外通道在海洋和陆地上的平均偏差分别在0.6和1.3 K以下。偏差影响因子分析结果显示:地表海拔高度、观测天顶角对偏差也存在一定程度的影响;海洋上偏差分布存在季节变化可能来源于再分析资料中海表温度估算的季节性误差。      

利用FY-2F快速扫描资料分析对流初生阶段的云顶物理量特征

基于FY-2F静止气象卫星提供的2015年5—9月的高分辨率数据,通过温度阈值法识别出深、浅对流后,分析和比较了深、浅对流在对流初生(convective initiation,CI)至发展阶段中云顶高度、云顶快速降温率(cloud top cooling rate,CTC)以及多通道差值等云顶物理量特征的变化异同。结果表明:深、浅对流在CI阶段的云顶物理量特征具有相似变化特征,即云顶高度均在短时间内快速上升,CTC值均先减小后增大;深、浅对流差异表现为深(浅)对流云顶上升高度能(不能)超越水汽层高度;深对流CTC最低值较浅对流CTC最低值更低。基于CI阶段深、浅对流的CTC最低值的差异,通过个例验证,表明利用深、浅对流CTC最低值的差异,可以在识别出CI的基础,判断出CI是否发展成为深对流,从而能提前做出预警。