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The Marmande dataset
| Content Provider | Scilit |
|---|---|
| Author | Cresson, Rémi |
| Copyright Year | 2020 |
| Description | In this chapter, the author rely relies on freely available data, named the Marmande dataset. They explain how to download and prepare this dataset in order to be ready for the practice session. Create a directory named marmande on one's file system. The author use this directory to store all the downloaded and generated data during the exercises. The Marmande dataset consists of three Sentinel-2 images and one Sentinel-1 product. The chapter describes the steps to download the products. First, log in to the European Space Agency hub. Then, search the products having the following attributes: Area, Sensing date, Mission and Product type. Book Name: Deep Learning for Remote Sensing Images with Open Source Software |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2019-0-09527-7&isbn=9781003020851&doi=10.1201/9781003020851-15&format=pdf |
| Ending Page | 113 |
| Page Count | 5 |
| Starting Page | 109 |
| DOI | 10.1201/9781003020851-15 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-07-15 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Deep Learning for Remote Sensing Images with Open Source Software Remote Sensing Exercises Sentinel Directory Freely Marmande Dataset |
| Content Type | Text |
| Resource Type | Chapter |
