遥感定量方法

遥感定量方法遥感定量方法
  1. 本文选择中国最大的城市&上海为典型案例,通过遥感定量方法获取城市内部各种景观信息,揭示城市化过程中各种城市景观的时空演变格局特征;

    This thesis , selecting Shanghai city as an example area , firstly discloses the evolving characters of spatio-temporal pattern of all kinds of urban landscapes with quantificational information obtained by remote sensing methods .

  2. 安徽省2种干旱遥感定量监测方法分析

    Analysis of Two Kinds of Methods of Remote Sensing Monitor in Drought

  3. 区域水资源动态变化遥感定量测算方法研究

    Study on the Quantizing Method of Regional Water Resources Dynamic Change by Remote Sensing

  4. 长江口水域悬沙含量时空变化卫星遥感定量研究方法探讨天然河流沙质河床上器测推移质输沙率含义的商榷

    Studying the temporal and spatial changes of suspended sediment content in the Changjiang Estuary using a remote sensing quantitative method Discussion on the Meaning of the Bed Load Discharge Measured by Sampler in the Sandy Bed of Natural Rivers

  5. 以大地构造格局和区域构造体系的信息识别方法为重点,介绍了图象处理基本方法&卷积滤波的运用思路、应用效果以及成矿地质环境的遥感定量分析方法。

    This paper is focused on information recognizing method of structural framework and structural system . It introduces an applying clue and its impressions of basic method in image processing ─ convolution filter , and gives a quantitative method of remote sensing analysis for mineralized geological environment .

  6. 并对遥感水质参数定量反演方法、中程无线传感网络技术和藻类水华预测预警模型方面进行了改进。

    With improved retrieval approach of water quality parameters , technology of Wireless Sensor Network ( WSN ) and forecast model of algal bloom , the blue-green algal bloom forecast platform was developed .

  7. 近年来,随着遥感技术和定量反演方法的迅猛发展,基于卫星遥感的蒸散发检测逐渐成为研究的热点。

    In recent years , with the rapid development of remote sensing technology as well as quantitative inversion method , regional evapotranspiration detection based on remote sensing has become a hot research field .

  8. 芦苇地叶面积指数的遥感反演叶面积指数(LAI)的遥感定量方法综述

    Remote sensing Lai retrieval of reed marsh the application of remotely sensed data to the estimation of the leaf area index

  9. 在多光谱遥感图像中有时也会存在较严重的随机点噪声的干扰,这种随机点噪声严重影响了地物光谱特征提取和识别的精度,降低了各种遥感定量分析方法技术的有效性。

    There is random speckle in a remote sensing image sometimes , this kind of speckle noise might bring trouble in extracting spectral information so as to reduce classification accuracy , affect availably applying the technique of remote sensing quantificational analysis .