AdrianoPereira

import os
import earthaccess
# from dotenv import load_dotenv
import argparse
# load_dotenv()

os.environ['EARTHDATA_USERNAME'] = '<your-user-here>'
os.environ['EARTHDATA_PASSWORD'] = '<your-password-here>'
os.environ['OUTPUT_DIR'] = 'path/to/save'

AdrianoPereira

import ftplib
import os
from datetime import datetime, timedelta
import requests
import pathlib
import tempfile
import gzip
import numpy as np
from dotenv import load_dotenv
load_dotenv()

AdrianoPereira

import os
import numpy as np
import gzip
from pathlib import Path

input_base_dir = "/storage/hokusai/GSMaP_NOW/now/half_hour/2024"
output_base_dir = "/storage/hokusai/GSMaP_NOW/SA_2024"

# global coordinates
glat_min = -60.0

AdrianoPereira

import os
import numpy as np
import gzip
from pathlib import Path
from concurrent.futures import ProcessPoolExecutor, as_completed
from tqdm import tqdm

input_base_dir = "/storage/hokusai/GSMaP_NOW/now/half_hour/2024"
output_base_dir = "/storage/hokusai/GSMaP_NOW/SA_2024"

AdrianoPereira

import ee
ee.Initialize()

# Coleção de departamentos do Peru
regions = ee.FeatureCollection("FAO/GAUL/2015/level1").filter(
    ee.Filter.eq("ADM0_NAME", "Peru")
)

# Imagem SRTM de elevação
srtm = ee.Image("USGS/SRTMGL1_003")

AdrianoPereira

# mosaic

import rasterio
from rasterio.merge import merge
from pathlib import Path
import glob

# Caminho para a pasta onde estão os GeoTIFFs baixados
input_dir = Path("/home/adriano/Doutorado/landcover/EarthEngine_Exports/")  # ajuste o nome da pasta se necessário

AdrianoPereira

import ee
ee.Initialize()

# Peru information 
regions = ee.FeatureCollection("FAO/GAUL/2015/level1").filter(
    ee.Filter.eq("ADM0_NAME", "Peru")
)

# Landcover product
landcover = ee.Image("COPERNICUS/Landcover/100m/Proba-V-C3/Global/2019")

AdrianoPereira

import gzip
import pyfortracc
import numpy as np
import xarray as xr

scale = 0.01
lon_min, lon_max = -100.0, -25.24
lat_min, lat_max = -56.0, 12.52
res_x, res_y = 0.04, 0.04

AdrianoPereira

import pystac_client
from tqdm import tqdm
import os
from datetime import datetime
import requests


STAC_API_URL = 'https://data.inpe.br/bdc/stac/v1/'
BASE_DIR = '/storage/goes/goes13'
CHANNEL = 'B04'

AdrianoPereira

Updating Pacman Mirrors

To ensure that you are using the fastest and most up-to-date mirrors for Pacman, follow these steps:

Step 1: Install pacman-mirrors (if necessary)

First, ensure that you have the pacman-mirrors package installed. You can install it using:

sudo pacman -S pacman-mirrors