AI Research on Landsat and Aerial Image
This project is closed. A new project with creating satellite images from Landsat-7/ Landsat-8/ Sentinel-2 / ALOS-2 is availbel at https://github.com/trongan93/satelliteimage-googleearth
Add new PPA
sudo add-apt-repository ppa:ubuntugis/ppa
sudo apt-get update
Install gdal-bin and libgdal-dev
sudo apt-get install gdal-bin
sudo apt-get install libgdal-dev
export CPLUS_INCLUDE_PATH=/usr/include/gdal export C_INCLUDE_PATH=/usr/include/gdal
Check ORG and GDAL version
ogrinfo --version
gdal-config --version
Install GDAL with the correct version
pip install GDAL=={enter gdal version here}
pip install shapely
-
Modify USGS username, password in usgs.txt file
-
Modify location's input data file, WRS2 shape file location, downloaded image folder (DOWNLOADED_BASE_PATH), stored image folder (IMAGE_BASE_PATH) in constants.py file
-
Add location's data to input.csv file
-
The input.csv file has the following columns: lat,lng,start_date (yyyymmdd),end_date (yyyymmdd),cloudcover,satellite,station,downloaded_path
| Column | Type | Value |
|---|---|---|
| lat/lng | double | |
| start_date | datetime (yyyymmdd) | |
| cloudcover | boolean | True/False |
| satellite | string | LC8/LE7/LT5 |
| station | string | ALL (all stations)/LGN/EDC/... Ref (1) |
| downloaded_path | string | leave this field blank if the row's image has not been downloaded, otherwise the value from this field will be a concatenated string separated by semicolon (;) |
- To download satellite images based on location's data inputted to input.csv earlier, Run
python main.py 1
- Cropped and combine images by running
python main.py 2
- Generating the negative landslide image from downloaded image
python main.py 3
After downloading an image at DOWNLOADED_BASE_PATH folder, the image will be moved to IMAGE_BASE_PATH folder with the following structure: /location/date/satellite/filter
and the downloaded_path column in the input.csv file is appended with a new path to the new image's folder. All paths will be concatenated to a string separated by a semicolon (;) Example: /home/test1/data/downloaded_files/Images/040034/2019-08-27/LC08/CLOUDCOVER;/home/test1/data/downloaded_files/Images/040034/2019-08-28/LC08/CLOUDCOVER
To redownload the LANDSAT data:
- Remove the value from downloaded_path column in input.csv file
- Remove the sub-folders, files corresponded to the row to redownload in input.csv file. The sub-folders are located in a folder defined by DOWNLOADED_BASE_PATH variable in constants.py file
(1) Each satellite (LC8, LT7, LE5) has their supported stations given in this table below:
| Satellite | Stations |
|---|---|
| LC8 | LGN |
| LT7 | EDC, SGS, AGS, ASN, SG1 |
| LE5 | ASN, GLC, ASA, KIR, MOR, KHC, PAC, KIS, CHM, LGS, MGR, COA, MPS, JSA |