guidorice

# curl -v http://dev.mlhub.earth:8080/gql \
curl -v http://dev.mlhub.earth:3000/api/gql \
-F operations='{ "query": "mutation ($file: Upload!) { upload_dataset_ingest_file( input: { dataset_id: \"guidorice_dataset1\", ingest_filetype: pdf }, blob: $file) { error size message } } ", "variables": { "file": null } }' \
-F map='{ "0": ["variables.file"] }' \
-F 0=@test.pdf

guidorice

$ gdalinfo /vsis3/sentinel-cogs/sentinel-s2-l2a-cogs/46/C/DB/2022/10/S2B_46CDB_20221003_0_L2A/B02.tif 

Driver: GTiff/GeoTIFF
Files: /vsis3/sentinel-cogs/sentinel-s2-l2a-cogs/46/C/DB/2022/10/S2B_46CDB_20221003_0_L2A/B02.tif
Size is 10980, 10980
Coordinate System is:
PROJCRS["WGS 84 / UTM zone 46S",
...

guidorice

"""
Preprocess chips and fields dirs for model_ecaas_agrifieldnet_silver.
"""
from pathlib import Path
import shutil

dataset_src = Path.home() / 'data/ref_agrifieldnet_competition_v1'
fields_src = dataset_src / 'ref_agrifieldnet_competition_v1_labels_test'
images_src = dataset_src / 'ref_agrifieldnet_competition_v1_source'

guidorice

apt-get install -y --no-install-recommends gdebi-core
export R_VERSION=4.2.2
curl -O https://cdn.rstudio.com/r/ubuntu-1804/pkgs/r-${R_VERSION}_1_amd64.deb
gdebi --non-interactive r-${R_VERSION}_1_amd64.deb
export PATH=${PATH}:/opt/R/${R_VERSION}/bin
R -e "install.packages(c('devtools', 'plyr', 'tidyverse', 'raster', 'celestial', 'caret', 'fastICA', 'SOAR', 'RStoolbox', 'jsonlite', 'data.table', 'spdep'), repos='http://cran.us.r-project.org')"
R -e "devtools::install_github('OpenDroneMap/FIELDimageR')"
rm r-${R_VERSION}_1_amd64.deb

guidorice

"""
umm-s can be validated in the default usage of jsonschema:
"""
import json
from pathlib import Path
from jsonschema import validate


schema_src = Path.home() / 'repos/nasa/unified-metadata-model/service/v1.5.0/umm-s-json-schema.json'

guidorice

#!/usr/bin/env bash

#
# adds directory of geojson to geopackage database
#
set -e

for file in task_aois/*.geojson; do
    echo adding $file;
    ogr2ogr -f GPKG task_aois.gpkg -append $file;

guidorice

"""
freely copied from @vincentsarago
"""

import rasterio
# http://due.esrin.esa.int/files/GLOBCOVER2009_Validation_Report_2.2.pdf
cmap = {
    0: (0, 0, 0, 0),  # Nodata
    11: (192, 240, 239, 255),  # Post-flooding or irrigated croplands
    14: (255, 255, 112, 255),  # Rainfed croplands

guidorice

"""
from @vincentsarago
"""
import random
import sys
import numpy
import requests
import mercantile
from concurrent import futures
import click