二维大地电磁数据的整体反演

从麦克斯韦第一、二方程出发，经过变量替换，将二维电磁问题线性化，得到不同测点、不同浓度下关于导电率微小变化的线性方程组，用Gauss-Seidel迭代法求解。实现了整体对二维大地电磁数据的反演，由于对各个测点下的数据同时反演，克服了以往用一维方法来反演二维问题时固有的缺点，讨论了不同的初始模型对反演结果的影响，提出了一种简便实用的初始值的给定方法，数值模拟结果表明该方法有一定的抗噪能力。     

利用TM影像分析潮河与密云水库入库口处泥沙的空间分布

河流携带的泥沙进入水库后 ,由于河流水体与水库水体的共同作用而在河口区产生沉降。理论上水体中的泥沙含量是与距入库口处的空间距离相关的。并且 ,根据实验与模拟的结果 ,在可见光的任一波段内 ,水体中的含沙量与水面反射率具有一定的相关关系。TM影像的第二、三波段刚好位于含沙水体反射光谱的肩部和峰值部分 ,可以准确地反映水体的含沙情况。以潮河与密云水库的交接处为例 ,在泥沙含量与反射率负指数关系式的基础上 ,利用两个时相的TM影像 ,通过泥沙沉降过程的主轴作用线 ,采用回归模拟和经验公式相结合的办法 ,建立了泥沙沉降过程的遥感空间分布模型 ,讨论了模型中各参数的具体含义 ,描述水体中泥沙含量与沉降的情况。最后 ,采用多个作用轴线进行拟和与空间插值分析 ,建立了水体中泥沙含量的空间分布模拟图 ,经过检测 ,该图较好地反映了河流入库处水体中的泥沙含量情况 ,为遥感技术在监测水体含沙量方面的应用提供了技术基础。     

Spatiotemporal characteristics of white mold and impacts on yield in soybean fields in South Dakota

ABSTRACT

White mold of soybeans is one of the most important fungal diseases that affect soybean production in South Dakota. However, there is a lack of information on the spatial characteristics of the disease and relationship with soybean yield. This relationship can be explored with the Normalized Difference Vegetation Index (NDVI) derived from Landsat 8 and a fusion of Landsat 8 and the Moderate Resolution Imaging Spectroradiometer (MODIS) images. This study investigated the patterns of yield in two soybean fields infected with white mold between 2016 and 2017, and estimated yield loss caused by white mold. Results show evidence of clustering in the spatial distribution of yield (Moran’s I = 0.38; p < 0.05 in 2016 and Moran’s I = 0.45; p < 0.05 in 2017) that can be explained by the spatial distribution of white mold in the observed fields. Yield loss caused by white mold was estimated at 36% in 2016 and 56% in 2017 for the worse disease pixels, with the most accurate period for estimating this loss on 21 August and 8 September for 2016 field and 2017 field, respectively. This study shows the potential of free remotely sensed satellite data in estimating yield loss caused by white mold.     

基于TM图像的城市生态绿地格局分析与评价

通过对遥感图像的校正、增强、变换和相关性分析等预处理,实现了TM图像的信息提取和精度分析。结果表明,基于TM图像的遥感分析与评价方法能够准确描述城市生态绿地格局在宏观和微观方面的基本特征。     

基于TM影像的南京市土地利用遥感动态监测

基于南京市1988年和1998年两期TM影像，首先用辐射水准归一化法将1998年影像校正到1988年影像的辐射水平上，再经过几何校正、训练区纯化等预处理，对两期影像分别用最大似然法进行分类，然后在Arc／Info的GRID模块中编写AML语言，对得到的两期土地利用分类图进行叠置运算，提取出土地利用动态变化信息。分析结果表明，10a间南京市耕地面积大量减少，林地面积有所增加。     

从ASTER和Landsat／TM卫星数据反演日本千叶地区地表反射率和气溶胶光学厚度分布

在卫星遥感大气研究中，已有的精确反演海洋表面反射率和其上空气溶胶光学厚度分布的算法，由于陆地地表像元反射率的不均一性，使得这些方法在应用于陆地表面反射率的反演中具有一定的局限性。而利用三步校正法可以去除地表邻近像元的影响，从而消除这种局限性。文中介绍了三步校正的算法，并对日本千叶地区ASTER卫星数据进行了大气和地表邻近像元的影响校正，精确地反演了该地区的地表反射率，通过地表反射率和气溶胶光学厚度之间的关系计算得到了气溶胶光学厚度的分布。同时证明了在洁净天反演的地表反射率可以应用于反演同一季节中非洁净天的气溶胶光学厚度分布，这样不但减小了气溶胶模式选择的影响，而且实现了在缺少太阳辐射计数据情况下获得气溶胶光学厚度分布的目的。     

多暗像元大气校正方法

 针对Landsat TM影像，设计了一种适用于非均质大气的大气校正方法。该方法以暗目标减法（DOS）为基础，结合大气辐射传输模型，通过选取TM影像上多个暗像元，并计算其所对应的大气校正系数对整幅图像进行大气校正。该方法不依赖任何外部信息，并且考虑了大气的非均质性，校正精度较高。     

Irrigated area determination: a case study in the Province of San Juan,Argentina

Much of the central-western region of Argentina, where San Juan Province is located, experiences arid to semi-arid climatic conditions with low average annual rainfall accompanied by substantial evapotranspiration. Consequently, a viable crop industry depends to a large extent upon irrigation from major river systems. Increasing demand for water in the lower basin of the San Juan River is emphasizing the need for more accurate estimates of water used for irrigation. Since the water demand for a particular crop is very closely related to crop area, monitoring the area of crop under irrigation is considered a proxy for the amount of water used. Landsat 5 imagery for the growing season, field data and aerial photographs were used to evaluate crop area.     

Testing satellite and ground thermal imaging of low-temperature fumarolic fields: The dormant Nisyros Volcano (Greece)

The Nisyros Volcano (Greece) was monitored by satellite and ground thermal imaging during the period 2000–2002. Three night-scheduled Landsat-7 ETM⁺ thermal (band 6) images of Nisyros Island were processed to obtain land surface temperature. Ground temperature data were also collected during one of the satellite overpasses. Processed results involving orthorectification and 3-D atmospheric correction clearly show the existence of a thermal anomaly inside the Nisyros Caldera. This anomaly is associated mainly with the largest hydrothermal craters and has land surface temperatures 5–10 °C warmer than its surroundings. The ground temperature generally increased by about 4 °C inside the main crater over the period 2000–2002. Ground thermal images of the hydrothermal Stephanos Crater were also collected in 2002 using a portable thermal infrared camera. These images were calibrated to ground temperature data and orthorectified. A difference of about 0–2 °C was observed between the ground thermal images and the ground temperature data. The overall study demonstrates that satellite remote sensing of low-temperature fumarolic fields within calderas can provide a reliable long-term monitoring tool of dormant volcanoes that have the potential to reactivate. Similarly, a portable thermo-imager can easily be deployed for real-time monitoring using telemetric data transfer. The operational costs for both systems are relatively low for an early warning system.     

基于à trous小波变换的Landsat 7 ETM＋图像融合研究

 以胶州湾及周边海岸带为研究区，采用Landsat 7 ETM+数据，提出一种基于à trous小波变换的全色图像和多光谱图像融合改进算法。对全色图像和多光谱图像进行适当层数的小波分解，多光谱图像的低频部分采用全色图像和其低频分量的比来调制； 最高分解层外的其余分解层采用多光谱图像和全色图像在该层分解系数的加权和，加权系数由局部区域能量比来确定； 最高分解层则采用绝对值最大准则。实验表明，该方法得到的图像可提高空间分辨率，对多光谱图像的光谱信息扭曲也较小，为提高海岸带地物分类和信息提取精度奠定了基础。