利用多时相卫星图像进行农作物分类 该仓库提供了使用多时相卫星图像进行农作物分类的代码。 作物分类对于理解作物的供应很重要。 卫星图像有助于实时监测作物生长和健康状况。 如今，每天都有高分辨率的卫星图像。 利用高频数据和多个波段，可以使用深度学习对农作物进行分类。 有许多经典的机器学习农作物分类方法可用它使用单时间图像，并使用其结果精度相对较低作物的光谱特性和结构特性，但我们会使用由玫瑰M. Rustowicz笔者建议的方法 安装 conda create --name geo_py37 python=3.7 conda install gdal rasterio conda install numpy pandas geopandas scikit-learn jupyterlab matplotlib seaborn xarray rasterstats tqdm pytest sq

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美国忧思联盟发布的截至2020年4约1日全球在轨卫星数据库，包括通信、导航、遥感等多种卫星，介绍了卫星的发射时间、所属国家、用途等

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Publisher: Wiley 2010-02-15 | 742 Pages | ISBN: 0470714581 | PDF | 13 MB New and updated edition of this authoritative and comprehensive reference to the field of satellite communications engineering. Building on the success of previous editions, Satellite Communications Systems, Fifth Edition covers the entire field of satellite communications engineering from orbital mechanics to satellite design and launch, configuration and installation of earth stations, including the implementation of communications links and the set-up of the satellite network. This book provides a comprehensive treatment of satellite communications systems engineering and discusses the technological applications. It demonstrates how system components interact and details the relationship between the system and its environment. The authors discuss the systems aspects such as techniques enabling equipment and system dimensioning and state of the art technology for satellite platforms, payloads and earth stations. New features and updates for the fifth edition include: •More information on techniques allowing service provision of multimedia content •Extra material on techniques for broadcasting, including recent standards DVB-RCS and DVB-S2 (Digital Video Broadcasting -Return Channel Satellite and -Satellite Version 2) •Updates on onboard processing By offering a detailed and practical overview, Satellite Communications Systems continues to be an authoritative text for advanced students, engineers and designers throughout the field of satellite communications and engineering.

Global Navigation Satellite Systems, Inertial Navigation, and Integration, 3 edition English | 2013 | ISBN: 111844700X | ISBN-13: 9781118447000 | 608 pages | PDF | 20,3 MB An updated guide to GNSS, and INS, and solutions to real-world GNSS/INS problems with Kalman filtering Written by recognized authorities in the field, this third edition of a landmark work provides engineers, computer scientists, and others with a working familiarity of the theory and contemporary applications of Global Navigation Satellite Systems (GNSS), Inertial Navigational Systems, and Kalman filters. This book is intended for people who need a working knowledge of global navigation satellite systems (GNSSs), inertial navigation systems (INSs), and the Kalman filtering models and methods used in their integration. The book is designed to provide a usable, working familiarity with both the theoretical and practical aspects of these subjects. For that purpose, we include “realworld”problems from practice as illustrative examples. We also cover the more practical aspects of implementation: how to represent problems in a mathematical model, analyze performance as a function of model parameters, implement the mechanization equations in numerically stable algorithms, assess the computational requirements, test the validity of results, and monitor performance in operation with sensor data from Global Positioning System (GPS) and INS. These important attributes, often overlooked in theoretical treatments, are essential for effective application of theory to real-world problems.

Global Navigation Satellite Systems, Inertial Navigation, and Integration

HMW8卫星的随机森林降雨估算 使用随机森林，从himawari-8卫星多波段数据估算雨量 模型随机森林机器学习 数据未上传是因为数据过大且保密，因为它具有处理数据的低谷。 如果您有兴趣并想查看数据，可以给我发邮件： 使用的数据IR波段Himawari 8空间分辨率：2kmx2km时间分辨率：所有波段的10分钟组合。 9段+ 36分割窗口。 在一年八月2018-七月2019 在ftp://hmwr829gr.cr.chiba-u.ac.jp/gridded/FD/V20151105/免费下载 GPM DPR KuPR空间分辨率：5.2公里x 5.2公里，可从免费下载 假设在相似的大气条件下克服万隆盆地的数据局限性，通过将数据收集扩展到Java岛的一个岛屿来进行数据采样。 该算法使用具有多个阶段的随机森林模型，即 对降雨区域进行分类对降雨回归的类型进行分类以获得降雨值。 万隆盆地有3个

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