[Learning tutorial] Vegetation phenology extraction and analysis based on Python long-term series remote sensing data

Extraction and analysis of vegetation phenology from long-term remote sensing data based on Python

The video has been recorded, you can watch and learn a
full set of courseware + video tutorial + case data code + accompanying tutor group after purchase

foreword

1. This tutorial is based on the python language;

2. Provide all codes;

3. Taking practical cases as the main line of the course content, combining principles and operations;

4. According to the content of the explanation, assign homework, consolidate the content learned and expand the problem solving in practical application.

Teaching Features

1. An in-depth explanation of the principle;

2. Explanation of techniques and methods, providing all case data and codes;

3. Explain the implementation method in combination with the project case, and connect with the actual work application;

4. Follow the school to operate on the computer, independently complete the case operation exercises, and track and analyze the whole process;

5. The exclusive student group assists in consolidating learning and practical work application exchanges, and holds online Q&A from time to time.

training fees

Cost of this course: 499 yuan

Course Details

Taking the long-time series MODIS remote sensing data product as an example, the computer-based operation is carried out based on Python:

1. Reconstruction method of time series remote sensing data within the year;

2. A variety of vegetation phenology extraction methods are realized;

3. Growth season start (SOS)/length (LOS)/end (EOS)/peak date extraction;

4. Regional vegetation SOS/LOS/EOS mapping;

5. Inter-annual vegetation phenology change trend analysis.

Note: Please prepare your own computer and install the required software in advance.

ways of registration

For detailed registration process, please contact the course director

Lisa 158-3333-2534 (Phone)

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