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https://github.com/vmeazevedo/rasterio_satellite_imagery_processing

Processamento de imagens de satélite via RasterIO, Numpy e Matplotlib.
https://github.com/vmeazevedo/rasterio_satellite_imagery_processing

gdal gdal-python python3 rasterio rasterio-setup satellite-imagery satellite-images

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Processamento de imagens de satélite via RasterIO, Numpy e Matplotlib.

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# RasterIO_Satellite_Imagery_Processing
Processamento de imagens de satélite via RasterIO, Numpy e Matplotlib.

Objetivo é acessar as imagens disponibilizadas pelo satelite LandSat-8 que estão armazenadas em um Bucket S3 na cloud da AWS e processar essas imagens.

![image](https://user-images.githubusercontent.com/40063504/126878761-c977616a-913c-48e8-b631-59c37b71c84b.png)

### Fotos originais do satelite Landsat:

https://drive.google.com/drive/folders/1BKnLRn6niKWYikL5sYtAaceVUqgkCP14?usp=sharing

## Instalando GDAL e RasterIO
Acessar o link abaixo e baixar os arquivos GDAL e rasterio:

Link: https://www.lfd.uci.edu/~gohlke/pythonlibs/#rasterio

Arquivos:
GDAL-3.1.4-cp36-cp36m-win_amd64.whl
rasterio-1.1.8-cp36-cp36m-win_amd64.whl

- Abra o cmd em modo admin, entre na pasta onde os arquivos estão e execute o comando abaixo:

pip install GDAL-3.1.4-cp36-cp36m-win_amd64.whl rasterio-1.1.8-cp36-cp36m-win_amd64.whl

![image](https://user-images.githubusercontent.com/40063504/126878021-1bbcdde6-6e97-4342-b149-101d3a1f6c55.png)

## Resultados

### Script - 0_landsat_aws

![banda_4](https://user-images.githubusercontent.com/40063504/126877898-a64bdc79-1a20-45e3-a683-e0c3dade0f98.png)

### Script - 1_calculo_nvdi

![ndvi](https://user-images.githubusercontent.com/40063504/126877899-01192e7e-4863-4083-99f2-824c9d904f14.png)

### Script - 2_mudanca_NDVI_tempo

![ndvi_dif](https://user-images.githubusercontent.com/40063504/126877904-8183e326-f689-42e6-b6d0-16f090850f8a.png)