https://github.com/florianporada/satellite-data-tools

Random tools to retrieve and process satellite data
https://github.com/florianporada/satellite-data-tools

Last synced: 1 day ago
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Random tools to retrieve and process satellite data

• Host: GitHub
• URL: https://github.com/florianporada/satellite-data-tools
• Owner: florianporada
• Created: 2022-01-30T15:14:10.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-01-31T14:19:45.000Z (almost 3 years ago)
• Last Synced: 2024-11-30T07:31:49.336Z (2 months ago)
• Language: Python
• Size: 5.33 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Satellite Data Tools

## Setup

### Install conda

[Follow the official install guide.](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html)

### Create conda env

```bash

conda env create --name myenv --file envname.yml

```

### Environment variables

- Rename `.env.sample` to `.env`

- Add your password and username to the `.env` file

## Usage

## Specify search region

Create a `geojson` file with a bounding box that defines the search region.

[geojson.io](http://geojson.io/) is an easy way to create `geojson` files.

![geojson.io example](./docs/geojsonio.png)

### Query and download data

#### CLI

List available sentinel 2 product data from Berlin with max 30 percent cloud coverage or less from one month until now.

```bash

sentinelsat -u  -p  --location Berlin --sentinel 2 --cloud 30 --start NOW-1MONTH

```

List available product data via `geojson`

```bash

sentinelsat -u  -p  -g 

```

List available sentinel 2 product data via `geojson` with less than 30 percent cloud coverage from now to 14 days ago

```bash

sentinelsat -u  -p  -g  --sentinel 2 --cloud 30 --start NOW-14DAYS --producttype S2MSI2A

```

Download available sentinel 2 product data via `geojson` from the last 24 hours (**NOTE**: that's a lot of gigabytes)

```bash

sentinelsat -u  -p  -g  --sentinel 2 -d --path ./downloads

```

Download specific data package via UUID

```bash

sentinelsat -u  -p  --uuid  -d --path ./downloads

```

#### Python API

- Execute the `query_data` with the desired configuration.

- Execute the `download_product` function with the specified product uuid.

- Unzip the downloaded file into the `./downloads` folder

### Process and display data

- In the `create_rgb_image` function pint the `imagePath` to the downloaded product.

- Specify the filenames for the different bands.

- Execute `create_rgb_image` function to create an image in the `./processed` folder.

- Use `QGIS` to display the generated `.tiff` file.

  ![QGIS Image display](./docs/qgis_image_display.png)

#### Resources for RGB composition and more

https://github.com/arjun-majumdar/Satellite_Image_Analysis/blob/main/Sentinel-2_Satellite_Image_Analysis_with_Python.ipynb

https://gisgeography.com/top-6-free-lidar-data-sources/