Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure

Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.     

Energy distributions of the large-scale horizontal currents caused by wind in the baroclinic ocean

Wind is the main energy source for the generation of the internal waves and the ocean mixing. Wunsch[1] estimated that about 1 TW (1 TW = 1012 W) energy was transported into the ocean from the winds by us-ing the altimeter data. Watanabe et al.[2] numerically calculated that the mixing processes obtained 0.7 TW energy from the global wind, which afforded most of the energy needed by the maintenance of the Merid-ional Overturning Circulation (MOC). During the past 50 years, in the Norther…     

光谱波段宽度对森林叶片叶绿素含量反演的影响分析

随着传感器技术的发展,高光谱数据光谱的波段宽度逐渐变窄,如何从海量的光谱数据中找到最优的光谱波段反演叶绿素含量,成为研究的难点问题。本文在测量华中农业大学狮子山6种主要树种的光谱数据和叶绿素含量的基础上,利用叶绿素指数(CI)和回归方法反演叶绿素含量,并分析了波段宽度对反演叶绿素含量结果的影响,结果发现波段宽度会影响到叶绿素反演的精度,当波段宽度为30nm时,叶绿素含量与"红边"区域(700nm-730nm)和近红外区域(770nm-800nm)叶绿素指标(CI)间的线性关系较好,决定系数可达到77.62%,均方根误差为10.6ug/cm2。     

遥感解译在南京市生活垃圾填埋场识别中的应用

运用遥感技术对南京市航空影像进行了解译工作,提取了面积大于10 000 m2的垃圾场位置并进行了实地查证和分析比对,绘制出南京市垃圾填埋场分布图,为南京市垃圾场的适宜性评价工作奠定了基础。     

全球定位系统的新进展（讲座六）——广域实时精密定位技术和三频电离层延迟改正

介绍了广域实时精密定位的基本原理和关键技术,并用实例证实了该系统能为双频用户提供精度优于10cm的平面坐标以及精度为1～2dm的高程,具有广阔的应用前景。论文还介绍了利用三频组合观测值来消除电离层延迟的方法,指出了这些方法的优缺点。     

福田站基坑监控量测信息管理系统的建立与应用

根据广深港客专福田站超深超宽基坑施工监控量测的需要,应用远程数据通讯技术、数据库技术和GIS技术设计并建立了工程监控量测信息管理管理系统,统计和分析功能提高了监控量测信息的反馈效率,解决了监控量测与施工配合的问题,工程实践表明系统提高了监控量测信息的反馈效率,达到了福田站基坑监控量测信息化管理的需求。     

近红外大气吸收波段太阳辐射计定标

用通用大气辐射传输软件CART模拟了POM02太阳辐射计的1020nm、1627nm和2200nm等3个近红外通道的大气透过率特性。结果表明,前两通道处于大气非吸收波段,其透过率很好的遵从Beer-Lambert定律,而2200nm通道则有较强的吸收,吸收光学厚度随大气质量的变化服从指数分布,与Beer-Lambert定律有一定的偏差,其定标需采用改进的Langley法。通过选取好天的5个定标实例证明,采用改进的Langley法定标2200nm通道,可提高其透过率测量精度约3.8%。     

X波段双极化多普勒天气雷达极限降水的估计能力

首先分析了X波段双极化多普勒天气雷达降水估计的误差来源及其影响,然后分析了信比、积累阶数对降水估计精度的影响,明确雷达系统本身的测量误差所能达到的理想程度,结果表明在双通道的积累次数M=64,信噪比SNR=10dB的条件下差分反射率的σ(ZDR)=0.32dB,则相应R(Z,ZDR)的降水估计精度最好能达到44%,同样条件下差分相位的σ(ΦDP)=0.08°,那么在降水率R=50mm/h时R(KDP)的降水估计精度最好能达8.6%。     

Mapping mineralogy in evaporite basins through time using multispectral Landsat data: Examples from the Bonneville basin,Utah, USA

The Bonneville basin, located in north-western Utah, is a vast evaporite basin which is home to the world-renowned Bonneville Salt Flats international speedway and is a highly valued landscape undergoing rapid change and anthropogenic influence. Air quality, snowpack, the local hydrological system, and state tourism are all impacted by the nature of the surface sediments exposed in the Bonneville basin. Mapping the Bonneville basin over time with remote sensing methods provides insight into the dynamics and impacts of the changing surface landscape. Utilizing the Landsat-5 Thematic Mapper (TM) and Landsat-8 Operational Land Imager (OLI) sensors, a set of band math indices are empirically established to map the predominant halite, gypsum, and carbonates mineralogical zones of the Bonneville basin. Spectral comparisons of representative samples from the study area and image-derived spectra indicate the halite of the Bonneville basin is wet and that gypsum deposits are slightly mixed with halite. The established indices are assessed in four ways, all of which support the ability of the indices to accentuate the associated mineralogical endmembers. Two study areas within the Bonneville basin are investigated temporally from 1986, 1995, 2005, and 2016 and show changing patterns in mineral distribution that align with surface processes active through these timescales. These indices provide a resource for mapping mineralogy though time in evaporite basins globally with diverse applications for questions about land use and environmental change.     

ETM+全色波段及其多光谱波段图像的融合应用

Landsat-7ETM+的全色波段与多光谱波段有相同的太阳高度角和其他环境条件,影像获取时间一致,两种不同分辨率的数据可以不经配准而实现高精度融合。目前常用的图像融合方法很多,究竟哪种方法更适合于ETM+图像,本次试验采用HIS变换、Brovey变换、SFIM变换、加权融合4种方法,分别实现ETM+Pan与ETM+的多光谱波段的融合,并从空间纹理信息、光谱真实性2个方面进行定量和定性地评价。研究表明,从综合角度出发,基于SFIM变换的融合方法产生的光谱扭曲和失真较小,同时很大程度地保持了高分辨率的全色波段的空间纹理细节信息,是一种适合于ETM+图像融合的较佳方法。