基于WorldView-2的遥感影像预处理

对于国家新推出的地理国情普查项目,卫星遥感数据作为其基础数据有着至关重要的作用,直接影响着目视解译的结果。本文主要对WorldView-2影像进行分析,并对其整个预处理的流程进行分析整理。最终表明,WorldView-2影像可采取辐射校正-几何校正-影像融合-数据正射纠正的技术路线对整个影像进行预处理,为地理国情普查项目中的影像数据预处理提供了参考及依据,为后续的目视解译过程奠定良好的基础。     

基于ENVI的高分辨率遥感影像城市绿地信息提取研究

近年来众多高分辨率遥感卫星的发射为城市绿地信息提取提供了高效的手段,如何充分利用高分辨率遥感影像对现代城市进行规划和生态环境评价具有重要意义。文中介绍一个完整的遥感工程在ENVI下的实现过程,包含高分辨率数据的处理、高分辨率信息提取流程的合理安排、FX模块面向对象信息提取等内容,可全面快速掌握城市绿地总量与分布现状,为绿地系统规划与日常管理决策提供参考,对生态城市建设具有重要意义。     

第一次全国地理国情普查中大批量高分辨率卫星影像快速处理实践

对World View/Quick Bird高分辨率卫星影像快速处理实验,实现了在控制点相对较少且分布不均的情况下,对不同时相、不同轨道的遥感影像进行大批量快速处理与生产,避免了不同轨道影像之间接边差较大导致后续影像镶嵌困难情况的出现。通过生产实践,形成了大批量高分辨率遥感影像快速处理解决的方案,产品符合精度要求并有效地提高了工作效率,为第一次全国地理国情普查的顺利实施提供强有力的技术支撑和应用参考。     

Evaluating post-wildfire logging-slash cover treatment to reduce hillslope erosion after salvage logging using ground measurements and remote sensing

Continuing long and extensive wildfire seasons in the Western US emphasize the need for better understanding of wildfire impacts including post-fire management scenarios. Advancements in our understanding of post-fire hillslope erosion and watershed response such as flooding, sediment yield, and debris flows have recently received considerable attention. The potential impacts of removing dead trees, called salvage logging, has been studied, however the use of remotely sensed imagery after salvage logging to evaluate spatial patterns and recovery is novel. The 2015 North Star Fire provided an opportunity to evaluate hillslope erosion reduction using two field experiments and coincidental remotely sensed imagery over 3 years. Simulated rill experiments with four flow rates were used to quantify hillslope erosion on skidder trails with and without added logging slash compared with a burned-only control. Seven replicated hillslope silt fence plots with the same treatments were also evaluated for natural rainfall events. WorldView-2 satellite imagery was used to relate ground cover and erodible bare soil between the two experiments using multi-temporal Normalized Differenced Vegetation Index (NDVI) values. Results indicate that the skid trails produced significantly more sediment (0.70 g s⁻¹) than either the slash treated skid trail (0.34 g s⁻¹) or controls (0.04 g s⁻¹) with the simulated rill experiment. Similarly, under natural rainfall conditions sediment yield from hillslope silt fence plots was significantly greater for the skid trail (3.42 Mg ha⁻¹) than either the slash treated skid trail (0.18 Mg ha⁻¹) or controls (0 Mg ha⁻¹). An NDVI value of 0.32 on all plots over all years corresponded to a ground cover of about 60% which is an established threshold for erosion reduction. Significant relationships between NDVI, ground cover, and sediment values suggest that NDVI may help managers evaluate ground cover and erosion potential remotely after disturbances such as a wildfire or salvage logging.     

Effect of spatial resolution of satellite images on estimating the greenness and evapotranspiration of urban green spaces

Urban green spaces (UGS), like most managed land covers, are getting progressively affected by water scarcity and drought. Preserving, restoring and expanding UGS require sustainable management of green and blue water resources to fulfil evapotranspiration (ET) demand for green plant cover. The heterogeneity of UGS with high variation in their microclimates and irrigation practices builds up the complexity of ET estimation. In oversized UGS, areas too large to be measured with in situ ET methods, remote sensing (RS) approaches of ET measurement have the potential to estimate the actual ET. Often in situ approaches are not feasible or too expensive. We studied the effects of spatial resolution using different satellite images, with high-, medium- and coarse-spatial resolutions, on the greenness and ET of UGS using Vegetation Indices (VIs) and VI-based ET, over a 780-ha urban park in Adelaide, Australia. We validated ET with the ground-based ET method of Soil Water Balance. Three sets of imagery from WorldView2, Landsat and MODIS, and three VIs including the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Enhanced Vegetation Index 2 (EVI2), were used to assess long-term changes of VIs and ET calculated from the different imagery acquired for this study (2011–2018). We found high correspondence between ET-MODIS and ET-Landsat (R² > 0.99 for all VIs). Landsat-VIs captured the seasonal changes of greenness better than MODIS-VIs. We used artificial neural network (ANN) to relate the RS-ET and ground data, and ET-MODIS (EVI2) showed the highest correlation (R² = 0.95 and MSE =0.01 for validation). We found a strong relationship between RS-ET and in situ measurements, even though it was not explicable by simple regressions; black box models helped us to explore their correlation. The methodology used in this research makes a strong case for the value of remote sensing in estimating and managing ET of green spaces in water-limited cities.     

A method to map riparian exotic vegetation (Salix spp.) area to inform water resource management

Hydrological processes within riparian environments worldwide are impacted when introduced species invade. Monitoring and management at substantial expense, are subsequently required to combat deleterious effects on the environment and stream hydrology. Willow species (Salicaceae: Salix spp.) introduced into Australia have spread throughout many riparian systems causing adverse environmental impacts, with high rates of water extraction when located within stream beds (in‐stream willows) thus altering hydrology. Strategies exist to manage willows; however, simpler, more cost‐effective methods are required to map and monitor spatial and temporal distributions. A method is presented to discriminate willow stands from surrounding native riparian vegetation using a single, very high 2 m resolution multispectral WorldView‐2 satellite image. A combination of spectral bands ‘coastal blue’ (400–450 nm), ‘red’ (630–690 nm), ‘red edge’ (705–745 nm) and ‘near infrared2’ (860–1040 nm), minimum noise fraction transformation, median filtering and maximum likelihood supervised classification provided the highest discriminatory power within a 25 km² study area. Of the spectral bands, coastal blue, red edge and near infrared2 are new bands that are not available in other multispectral sensors. These bands proved critical to the success of discriminating willows from other land cover categories (overall accuracy of 97%). Stream channels were defined by incorporating a LiDAR‐derived digital elevation model to discriminate between willows on stream banks and within stream beds. Canopy area estimates of in‐stream willows, coupled with water savings estimates from willow removal, suggest removal of 10.4 ha of Salix fragilis canopy from within river channels in the study area will potentially return 41 ML year^?1 to the environment. The method presented improves our understanding of willow impacts on hydrology and aids decisions regarding willow removal for water resource management. Copyright © 2013 John Wiley & Sons, Ltd.     

多条带WorldView卫星图像几何定位精度分析

本文针对多个条带WorldView卫星图像,研究了基于有理函数模型的附加参数区域网平差方法,对高分辨率卫星图像定位精度进行了详细分析。青海地区WorldView卫星图像试验结果表明:无地面控制点时,多条带整体区域网定位结果优于各个条带单独平差结果,区域网平差方法结果优于直接前方交会方法;有地面控制点时,多条带区域网平差结果与各个条带单独平差结果相当,且沿路线不大于10km布设一个地面控制点,其精度可满足1∶2000比例尺加密精度要求,可用于公路初步设计。     

基于PCI软件进行大数据量高分辨率卫星影像的无控制纠正生产试验

介绍了PCI软件在大规模生产中的工艺流程、操作以及具体试验结果。在大规模生产中所遇到的软件bug及分析解决办法。     

Photogrammetric Bathymetry for the Canadian Arctic

Abstract

Remote sensing is becoming common in the estimation of bathymetry for navigational charting through a process known as Satellite Derived Bathymetry (SDB). Most SDB techniques currently used by hydrographic offices employ an empirical approach, requiring the use of in-situ data to calibrate a relationship between spectral information and coincident depths. This article reports on a multi-site test of an alternative SDB method which uses photogrammetry to extract depths from stereo WorldView-2 imagery. In areas with heterogeneous seafloors, the empirical approach faces difficulties in establishing the relationship between colour and depth, while the photogrammetric approach uses the contrasting seafloor features for triangulation. Additionally, the photogrammetric method may be applied in areas lacking previous survey data. Five study areas in Nunavut, Canada were selected to test the robustness of the method in different environments and under different imaging conditions. Study areas were (with resulting RMSE/Bias given in metres) Coral Harbour (0.84/?0.47), Cambridge Bay (1.16/?0.15), Queen Maud Gulf (0.97/0.06), Arviat (0.99/?0.009), and Frobisher Bay, where extraction largely failed due to environmental conditions. Accuracies demonstrated here are similar to those seen using the empirical approach, suggesting that these two methods may be used in conjunction, each applied to regions where they are better suited.     

基于PCI2012系统的WorldView-2立体影像DEM自动提取方法研究

利用航天遥感卫星立体影像自动提取数字高程模型是当前研究的热点之一,PCI2012系统则是常用的遥感卫星影像处理系统。PCI2012系统在自动提取DEM时应用所采用的影像校正模型主要有通用成像模型和严格物理模型两种模型。本文基于PCI2012系统,利用WorldView-2立体影像数据,对同一地区分别采用以上两种不同的校正模型提取DEM,对获取的DEM精度进行了对比,并分析了影像DEM精度的主要因素。