【Chinese and English Catalog】Introduction

English Version Contents:

0. About The Author And Preface

1. Introducing GEE and Geemap

2. Creating Interactive Maps

3. Using Earth Engine Data

4. Using Local Geospatial Data

5. Visualizing Geospatial Data

6: Analyzing Geospatial Data (Coming soon.)

7: Exporting Earth Engine Data (Coming soon.)

8: Making Maps with Cartoee (Coming soon.)

9: Creating Timelapses (Coming soon.)

10: Building Web Apps (Coming soon.)

11: Earth Engine Applications (Coming soon.)

中文目录：

前言：About the author Dr. Wu Qiusheng and an introduction to this book

第一章：GEE 和 GEEMAP

第二章：创建交互式地图（2.1-2.3）

第二章：创建交互式地图（2.4-2.6）

第三章：GEE数据的使用（3.1-3.3）

第三章：GEE数据的使用（3.4-3.11）

第四章：Use local geospatial data（4.1-4.5）

第四章：Use local geospatial data（4.6-4.14）

第五章：可视化地理空间数据

第六章：地理空间数据分析（敬请期待）

第七章：GEE 数据的导出（敬请期待）

第八章：Cartoee 制图（敬请期待）

第九章：Create a snapshot of time（敬请期待）

第十章：构建 Web 应用程序（敬请期待）

第十一章：GEE 的应用篇（敬请期待）

译者的话：

Fall 2022,An eventful time for Chinese people and even people all over the world,Thanks to Teacher Wu Qiusheng for not giving up,invited me to share his new book《GEEMAP 教程》.This book can be described as Mr. Wu has been focusing on it for decades “遥感大数据”、“Geospatial Cloud Computing”、“GEE” 和 “开源软件开发” Cloud computing-based visual spatial analysis software developed and researched in other fields “GEEMAP” detailed tutorial,It contains a summary of a large number of related technologies over the years and will all come before GEEMAP Systematic organization and content summary upgrade of technical articles and videos.

翻译本书,And publishing it in various domestic channels is also the wish of Mr. Wu who has been unforgettable these days.Therefore, it was officially commissioned by Mr. Wu to translate and publish the original English version together CSDN 平台.I was commissioned to publish, so I chose original in the article type.In the future, if it is convenient, it may be jointly released in other channels.We are constantly finding and fixing problems in our creations,因此,Both in content and format are constantly changing,I hope to present a perfect work to readers.可以访问我的 个人网站（hantf.com） Contact for feedback.

注：Mr. Wu's book is still in the process of writing,It's about chapter six now,我会及时更新.

Han Tianfang,东北大学,环境工程.

2022 年 8 月 7 日立秋,North of Liaodong,The left bank of the submerged water.

ABOUT GEEMAP： Geemap is a Python package for interactive mapping with Google Earth Engine (GEE), which is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets. During the past few years, GEE has become very popular in the geospatial community and it has empowered numerous environmental applications at local, regional, and global scales. GEE provides both JavaScript and Python APIs for making computational requests to the Earth Engine servers. Compared with the comprehensive documentation and interactive IDE (i.e., GEE JavaScript Code Editor) of the GEE JavaScript API, the GEE Python API has relatively little documentation and limited functionality for visualizing results interactively. The geemap Python package was created to fill this gap. It is built upon ipyleaflet and ipywidgets, and enables users to analyze and visualize Earth Engine datasets interactively within a Jupyter-based environment.
Geemap is intended for students and researchers, who would like to utilize the Python ecosystem of diverse libraries and tools to explore Google Earth Engine. It is also designed for existing GEE users who would like to transition from the GEE JavaScript API to Python API. The automated JavaScript-to-Python conversion module of the geemap package can greatly reduce the time needed to convert existing GEE JavaScripts to Python scripts and Jupyter notebooks.