Level 1.5 data from all sites with available data for all AOD points¶
Define a cql2-json filter for:
In [1]:
Copied!
from pathlib import Path
from pystac import Item
import json
import sys
out_dir: Path = Path('.')
cql2_filter = {
"op": "and",
"args": [
{"op": "eq", "args": [{"property": "data_type"}, "AOD15"]},
{"op": "eq", "args": [{"property": "format"}, "csv"]},
{"op": "eq", "args": [{"property": "data_format"}, "all-points"]},
{
"op": "t_after",
"args": [
{"property": "time"},
{"timestamp": "2000-06-01T00:00:00Z"},
],
},
{
"op": "t_before",
"args": [
{"property": "time"},
{"timestamp": "2000-06-14T23:59:59Z"},
],
},
],
}
json.dump(cql2_filter, sys.stdout, indent=2)
from pathlib import Path
from pystac import Item
import json
import sys
out_dir: Path = Path('.')
cql2_filter = {
"op": "and",
"args": [
{"op": "eq", "args": [{"property": "data_type"}, "AOD15"]},
{"op": "eq", "args": [{"property": "format"}, "csv"]},
{"op": "eq", "args": [{"property": "data_format"}, "all-points"]},
{
"op": "t_after",
"args": [
{"property": "time"},
{"timestamp": "2000-06-01T00:00:00Z"},
],
},
{
"op": "t_before",
"args": [
{"property": "time"},
{"timestamp": "2000-06-14T23:59:59Z"},
],
},
],
}
json.dump(cql2_filter, sys.stdout, indent=2)
{
"op": "and",
"args": [
{
"op": "eq",
"args": [
{
"property": "data_type"
},
"AOD15"
]
},
{
"op": "eq",
"args": [
{
"property": "format"
},
"csv"
]
},
{
"op": "eq",
"args": [
{
"property": "data_format"
},
"all-points"
]
},
{
"op": "t_after",
"args": [
{
"property": "time"
},
{
"timestamp": "2000-06-01T00:00:00Z"
}
]
},
{
"op": "t_before",
"args": [
{
"property": "time"
},
{
"timestamp": "2000-06-14T23:59:59Z"
}
]
}
]
}
Execute the search operation¶
In [2]:
Copied!
from pygeofilter_aeronet import aeronet_search
item: Item = aeronet_search(
cql2_filter=cql2_filter,
output_dir=out_dir
)
json.dump(item.to_dict(), sys.stdout, indent=2)
from pygeofilter_aeronet import aeronet_search
item: Item = aeronet_search(
cql2_filter=cql2_filter,
output_dir=out_dir
)
json.dump(item.to_dict(), sys.stdout, indent=2)
2025-11-18 21:48:08.340 | SUCCESS | pygeofilter_aeronet:aeronet_search:246 - Query on https://aeronet.gsfc.nasa.gov successfully obtained data:
2025-11-18 21:48:09.330 | SUCCESS | pygeofilter_aeronet:aeronet_search:259 - Data saved to to CSV file: /home/runner/work/pygeofilter-aeronet/pygeofilter-aeronet/docs/samples/00b3de96-7297-4878-8bfa-a978023e7180.csv
2025-11-18 21:48:09.715 | SUCCESS | pygeofilter_aeronet:aeronet_search:293 - Data saved to GeoParquet file: /home/runner/work/pygeofilter-aeronet/pygeofilter-aeronet/docs/samples/00b3de96-7297-4878-8bfa-a978023e7180.parquet
{
"type": "Feature",
"stac_version": "1.1.0",
"stac_extensions": [
"https://stac-extensions.github.io/table/v1.2.0/schema.json"
],
"id": "urn:uuid:00b3de96-7297-4878-8bfa-a978023e7180",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
-157.789717,
-34.555425
],
[
166.9159,
-34.555425
],
[
166.9159,
64.742805
],
[
-157.789717,
64.742805
],
[
-157.789717,
-34.555425
]
]
]
},
"bbox": [
-157.789717,
-34.555425,
166.9159,
64.742805
],
"properties": {
"datetime": "2025-11-18T21:48:09.885446Z"
},
"links": [
{
"rel": "related",
"href": "https://aeronet.gsfc.nasa.gov/cgi-bin/print_web_data_v3?AOD15=1&if_no_html=1&AVG=10&year=2000&month=6&day=1&hour=0&year2=2000&month2=6&day2=14&hour2=23",
"type": "text/csv",
"title": "AERONET Web Service search"
}
],
"assets": {
"csv": {
"href": "00b3de96-7297-4878-8bfa-a978023e7180.csv",
"type": "text/csv",
"description": "Search result - CVS Format",
"table:row_count": 17683,
"table:columns": [
{
"name": "AERONET_Site",
"col_type": "object"
},
{
"name": "Date(dd:mm:yyyy)",
"col_type": "object"
},
{
"name": "Time(hh:mm:ss)",
"col_type": "object"
},
{
"name": "Day_of_Year",
"col_type": "int64"
},
{
"name": "Day_of_Year(Fraction)",
"col_type": "float64"
},
{
"name": "AOD_1640nm",
"col_type": "float64"
},
{
"name": "AOD_1020nm",
"col_type": "float64"
},
{
"name": "AOD_870nm",
"col_type": "float64"
},
{
"name": "AOD_865nm",
"col_type": "float64"
},
{
"name": "AOD_779nm",
"col_type": "float64"
},
{
"name": "AOD_675nm",
"col_type": "float64"
},
{
"name": "AOD_667nm",
"col_type": "float64"
},
{
"name": "AOD_620nm",
"col_type": "float64"
},
{
"name": "AOD_560nm",
"col_type": "float64"
},
{
"name": "AOD_555nm",
"col_type": "float64"
},
{
"name": "AOD_551nm",
"col_type": "float64"
},
{
"name": "AOD_532nm",
"col_type": "float64"
},
{
"name": "AOD_531nm",
"col_type": "float64"
},
{
"name": "AOD_510nm",
"col_type": "float64"
},
{
"name": "AOD_500nm",
"col_type": "float64"
},
{
"name": "AOD_490nm",
"col_type": "float64"
},
{
"name": "AOD_443nm",
"col_type": "float64"
},
{
"name": "AOD_440nm",
"col_type": "float64"
},
{
"name": "AOD_412nm",
"col_type": "float64"
},
{
"name": "AOD_400nm",
"col_type": "float64"
},
{
"name": "AOD_380nm",
"col_type": "float64"
},
{
"name": "AOD_340nm",
"col_type": "float64"
},
{
"name": "Precipitable_Water(cm)",
"col_type": "float64"
},
{
"name": "AOD_681nm",
"col_type": "float64"
},
{
"name": "AOD_709nm",
"col_type": "float64"
},
{
"name": "AOD_Empty",
"col_type": "float64"
},
{
"name": "AOD_Empty.1",
"col_type": "float64"
},
{
"name": "AOD_Empty.2",
"col_type": "float64"
},
{
"name": "AOD_Empty.3",
"col_type": "float64"
},
{
"name": "AOD_Empty.4",
"col_type": "float64"
},
{
"name": "Triplet_Variability_1640",
"col_type": "float64"
},
{
"name": "Triplet_Variability_1020",
"col_type": "float64"
},
{
"name": "Triplet_Variability_870",
"col_type": "float64"
},
{
"name": "Triplet_Variability_865",
"col_type": "float64"
},
{
"name": "Triplet_Variability_779",
"col_type": "float64"
},
{
"name": "Triplet_Variability_675",
"col_type": "float64"
},
{
"name": "Triplet_Variability_667",
"col_type": "float64"
},
{
"name": "Triplet_Variability_620",
"col_type": "float64"
},
{
"name": "Triplet_Variability_560",
"col_type": "float64"
},
{
"name": "Triplet_Variability_555",
"col_type": "float64"
},
{
"name": "Triplet_Variability_551",
"col_type": "float64"
},
{
"name": "Triplet_Variability_532",
"col_type": "float64"
},
{
"name": "Triplet_Variability_531",
"col_type": "float64"
},
{
"name": "Triplet_Variability_510",
"col_type": "float64"
},
{
"name": "Triplet_Variability_500",
"col_type": "float64"
},
{
"name": "Triplet_Variability_490",
"col_type": "float64"
},
{
"name": "Triplet_Variability_443",
"col_type": "float64"
},
{
"name": "Triplet_Variability_440",
"col_type": "float64"
},
{
"name": "Triplet_Variability_412",
"col_type": "float64"
},
{
"name": "Triplet_Variability_400",
"col_type": "float64"
},
{
"name": "Triplet_Variability_380",
"col_type": "float64"
},
{
"name": "Triplet_Variability_340",
"col_type": "float64"
},
{
"name": "Triplet_Variability_Precipitable_Water(cm)",
"col_type": "float64"
},
{
"name": "Triplet_Variability_681",
"col_type": "float64"
},
{
"name": "Triplet_Variability_709",
"col_type": "float64"
},
{
"name": "Triplet_Variability_AOD_Empty",
"col_type": "float64"
},
{
"name": "Triplet_Variability_AOD_Empty.1",
"col_type": "float64"
},
{
"name": "Triplet_Variability_AOD_Empty.2",
"col_type": "float64"
},
{
"name": "Triplet_Variability_AOD_Empty.3",
"col_type": "float64"
},
{
"name": "Triplet_Variability_AOD_Empty.4",
"col_type": "float64"
},
{
"name": "440-870_Angstrom_Exponent",
"col_type": "float64"
},
{
"name": "380-500_Angstrom_Exponent",
"col_type": "float64"
},
{
"name": "440-675_Angstrom_Exponent",
"col_type": "float64"
},
{
"name": "500-870_Angstrom_Exponent",
"col_type": "float64"
},
{
"name": "340-440_Angstrom_Exponent",
"col_type": "float64"
},
{
"name": "440-675_Angstrom_Exponent[Polar]",
"col_type": "float64"
},
{
"name": "Data_Quality_Level",
"col_type": "object"
},
{
"name": "AERONET_Instrument_Number",
"col_type": "int64"
},
{
"name": "AERONET_Site_Name",
"col_type": "object"
},
{
"name": "Site_Latitude(Degrees)",
"col_type": "float64"
},
{
"name": "Site_Longitude(Degrees)",
"col_type": "float64"
},
{
"name": "Site_Elevation(m)",
"col_type": "float64"
},
{
"name": "Solar_Zenith_Angle(Degrees)",
"col_type": "float64"
},
{
"name": "Optical_Air_Mass",
"col_type": "float64"
},
{
"name": "Sensor_Temperature(Degrees_C)",
"col_type": "float64"
},
{
"name": "Ozone(Dobson)",
"col_type": "float64"
},
{
"name": "NO2(Dobson)",
"col_type": "float64"
},
{
"name": "Last_Date_Processed",
"col_type": "object"
},
{
"name": "Number_of_Wavelengths",
"col_type": "int64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_1640nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_1020nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_870nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_865nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_779nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_675nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_667nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_620nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_560nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_555nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_551nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_532nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_531nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_510nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_500nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_490nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_443nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_440nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_412nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_400nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_380nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_340nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_PW(um)_935nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_681nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_709nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_Empty",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_Empty.1",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_Empty.2",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_Empty.3",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_Empty.4",
"col_type": "float64"
}
]
},
"geoparquet": {
"href": "00b3de96-7297-4878-8bfa-a978023e7180.parquet",
"type": "application/vnd.apache.parquet",
"description": "Search result - GeoParquet Format",
"table:row_count": 17683,
"table:columns": [
{
"name": "AERONET_Site",
"col_type": "object"
},
{
"name": "Date(dd:mm:yyyy)",
"col_type": "object"
},
{
"name": "Time(hh:mm:ss)",
"col_type": "object"
},
{
"name": "Day_of_Year",
"col_type": "int64"
},
{
"name": "Day_of_Year(Fraction)",
"col_type": "float64"
},
{
"name": "AOD_1640nm",
"col_type": "float64"
},
{
"name": "AOD_1020nm",
"col_type": "float64"
},
{
"name": "AOD_870nm",
"col_type": "float64"
},
{
"name": "AOD_865nm",
"col_type": "float64"
},
{
"name": "AOD_779nm",
"col_type": "float64"
},
{
"name": "AOD_675nm",
"col_type": "float64"
},
{
"name": "AOD_667nm",
"col_type": "float64"
},
{
"name": "AOD_620nm",
"col_type": "float64"
},
{
"name": "AOD_560nm",
"col_type": "float64"
},
{
"name": "AOD_555nm",
"col_type": "float64"
},
{
"name": "AOD_551nm",
"col_type": "float64"
},
{
"name": "AOD_532nm",
"col_type": "float64"
},
{
"name": "AOD_531nm",
"col_type": "float64"
},
{
"name": "AOD_510nm",
"col_type": "float64"
},
{
"name": "AOD_500nm",
"col_type": "float64"
},
{
"name": "AOD_490nm",
"col_type": "float64"
},
{
"name": "AOD_443nm",
"col_type": "float64"
},
{
"name": "AOD_440nm",
"col_type": "float64"
},
{
"name": "AOD_412nm",
"col_type": "float64"
},
{
"name": "AOD_400nm",
"col_type": "float64"
},
{
"name": "AOD_380nm",
"col_type": "float64"
},
{
"name": "AOD_340nm",
"col_type": "float64"
},
{
"name": "Precipitable_Water(cm)",
"col_type": "float64"
},
{
"name": "AOD_681nm",
"col_type": "float64"
},
{
"name": "AOD_709nm",
"col_type": "float64"
},
{
"name": "AOD_Empty",
"col_type": "float64"
},
{
"name": "AOD_Empty.1",
"col_type": "float64"
},
{
"name": "AOD_Empty.2",
"col_type": "float64"
},
{
"name": "AOD_Empty.3",
"col_type": "float64"
},
{
"name": "AOD_Empty.4",
"col_type": "float64"
},
{
"name": "Triplet_Variability_1640",
"col_type": "float64"
},
{
"name": "Triplet_Variability_1020",
"col_type": "float64"
},
{
"name": "Triplet_Variability_870",
"col_type": "float64"
},
{
"name": "Triplet_Variability_865",
"col_type": "float64"
},
{
"name": "Triplet_Variability_779",
"col_type": "float64"
},
{
"name": "Triplet_Variability_675",
"col_type": "float64"
},
{
"name": "Triplet_Variability_667",
"col_type": "float64"
},
{
"name": "Triplet_Variability_620",
"col_type": "float64"
},
{
"name": "Triplet_Variability_560",
"col_type": "float64"
},
{
"name": "Triplet_Variability_555",
"col_type": "float64"
},
{
"name": "Triplet_Variability_551",
"col_type": "float64"
},
{
"name": "Triplet_Variability_532",
"col_type": "float64"
},
{
"name": "Triplet_Variability_531",
"col_type": "float64"
},
{
"name": "Triplet_Variability_510",
"col_type": "float64"
},
{
"name": "Triplet_Variability_500",
"col_type": "float64"
},
{
"name": "Triplet_Variability_490",
"col_type": "float64"
},
{
"name": "Triplet_Variability_443",
"col_type": "float64"
},
{
"name": "Triplet_Variability_440",
"col_type": "float64"
},
{
"name": "Triplet_Variability_412",
"col_type": "float64"
},
{
"name": "Triplet_Variability_400",
"col_type": "float64"
},
{
"name": "Triplet_Variability_380",
"col_type": "float64"
},
{
"name": "Triplet_Variability_340",
"col_type": "float64"
},
{
"name": "Triplet_Variability_Precipitable_Water(cm)",
"col_type": "float64"
},
{
"name": "Triplet_Variability_681",
"col_type": "float64"
},
{
"name": "Triplet_Variability_709",
"col_type": "float64"
},
{
"name": "Triplet_Variability_AOD_Empty",
"col_type": "float64"
},
{
"name": "Triplet_Variability_AOD_Empty.1",
"col_type": "float64"
},
{
"name": "Triplet_Variability_AOD_Empty.2",
"col_type": "float64"
},
{
"name": "Triplet_Variability_AOD_Empty.3",
"col_type": "float64"
},
{
"name": "Triplet_Variability_AOD_Empty.4",
"col_type": "float64"
},
{
"name": "440-870_Angstrom_Exponent",
"col_type": "float64"
},
{
"name": "380-500_Angstrom_Exponent",
"col_type": "float64"
},
{
"name": "440-675_Angstrom_Exponent",
"col_type": "float64"
},
{
"name": "500-870_Angstrom_Exponent",
"col_type": "float64"
},
{
"name": "340-440_Angstrom_Exponent",
"col_type": "float64"
},
{
"name": "440-675_Angstrom_Exponent[Polar]",
"col_type": "float64"
},
{
"name": "Data_Quality_Level",
"col_type": "object"
},
{
"name": "AERONET_Instrument_Number",
"col_type": "int64"
},
{
"name": "AERONET_Site_Name",
"col_type": "object"
},
{
"name": "Site_Latitude(Degrees)",
"col_type": "float64"
},
{
"name": "Site_Longitude(Degrees)",
"col_type": "float64"
},
{
"name": "Site_Elevation(m)",
"col_type": "float64"
},
{
"name": "Solar_Zenith_Angle(Degrees)",
"col_type": "float64"
},
{
"name": "Optical_Air_Mass",
"col_type": "float64"
},
{
"name": "Sensor_Temperature(Degrees_C)",
"col_type": "float64"
},
{
"name": "Ozone(Dobson)",
"col_type": "float64"
},
{
"name": "NO2(Dobson)",
"col_type": "float64"
},
{
"name": "Last_Date_Processed",
"col_type": "object"
},
{
"name": "Number_of_Wavelengths",
"col_type": "int64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_1640nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_1020nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_870nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_865nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_779nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_675nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_667nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_620nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_560nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_555nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_551nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_532nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_531nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_510nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_500nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_490nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_443nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_440nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_412nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_400nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_380nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_340nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_PW(um)_935nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_681nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_709nm",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_Empty",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_Empty.1",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_Empty.2",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_Empty.3",
"col_type": "float64"
},
{
"name": "Exact_Wavelengths_of_AOD(um)_Empty.4",
"col_type": "float64"
},
{
"name": "geometry",
"col_type": "geometry"
},
{
"name": "datetime",
"col_type": "datetime64[ns]"
}
]
}
}
}
Visualize the results as Data Frame¶
In [3]:
Copied!
from geopandas import read_parquet
from geopandas.geodataframe import GeoDataFrame
geoparquet_file: str = item.get_assets()['geoparquet'].href
geoparquet_data: GeoDataFrame = read_parquet(geoparquet_file)
geoparquet_data
from geopandas import read_parquet
from geopandas.geodataframe import GeoDataFrame
geoparquet_file: str = item.get_assets()['geoparquet'].href
geoparquet_data: GeoDataFrame = read_parquet(geoparquet_file)
geoparquet_data
Out[3]:
| AERONET_Site | Date(dd:mm:yyyy) | Time(hh:mm:ss) | Day_of_Year | Day_of_Year(Fraction) | AOD_1640nm | AOD_1020nm | AOD_870nm | AOD_865nm | AOD_779nm | ... | Exact_Wavelengths_of_PW(um)_935nm | Exact_Wavelengths_of_AOD(um)_681nm | Exact_Wavelengths_of_AOD(um)_709nm | Exact_Wavelengths_of_AOD(um)_Empty | Exact_Wavelengths_of_AOD(um)_Empty.1 | Exact_Wavelengths_of_AOD(um)_Empty.2 | Exact_Wavelengths_of_AOD(um)_Empty.3 | Exact_Wavelengths_of_AOD(um)_Empty.4 | geometry | datetime | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Alta_Floresta | 01:06:2000 | 10:35:11 | 153 | 153.441100 | -999.0 | -999.000000 | 0.036698 | -999.0 | -999.0 | ... | 0.9364 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | POINT (-56.10445 -9.87134) | 2000-06-01 10:35:11 |
| 1 | Alta_Floresta | 01:06:2000 | 10:38:01 | 153 | 153.443067 | -999.0 | -999.000000 | 0.035715 | -999.0 | -999.0 | ... | 0.9364 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | POINT (-56.10445 -9.87134) | 2000-06-01 10:38:01 |
| 2 | Alta_Floresta | 01:06:2000 | 10:41:20 | 153 | 153.445370 | -999.0 | -999.000000 | 0.030944 | -999.0 | -999.0 | ... | 0.9364 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | POINT (-56.10445 -9.87134) | 2000-06-01 10:41:20 |
| 3 | Alta_Floresta | 01:06:2000 | 10:45:17 | 153 | 153.448113 | -999.0 | -999.000000 | 0.030626 | -999.0 | -999.0 | ... | 0.9364 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | POINT (-56.10445 -9.87134) | 2000-06-01 10:45:17 |
| 4 | Alta_Floresta | 01:06:2000 | 10:50:02 | 153 | 153.451412 | -999.0 | -999.000000 | 0.031351 | -999.0 | -999.0 | ... | 0.9364 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | POINT (-56.10445 -9.87134) | 2000-06-01 10:50:02 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 17678 | Sioux_Falls_X | 12:06:2000 | 00:34:12 | 164 | 164.023750 | -999.0 | 0.045764 | 0.050797 | -999.0 | -999.0 | ... | 0.9353 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | POINT (-96.62598 43.73628) | 2000-06-12 00:34:12 |
| 17679 | Sioux_Falls_X | 12:06:2000 | 00:51:30 | 164 | 164.035764 | -999.0 | 0.049516 | 0.054518 | -999.0 | -999.0 | ... | 0.9353 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | POINT (-96.62598 43.73628) | 2000-06-12 00:51:30 |
| 17680 | Sioux_Falls_X | 12:06:2000 | 00:57:49 | 164 | 164.040150 | -999.0 | 0.048396 | 0.053796 | -999.0 | -999.0 | ... | 0.9353 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | POINT (-96.62598 43.73628) | 2000-06-12 00:57:49 |
| 17681 | Sioux_Falls_X | 14:06:2000 | 15:43:51 | 166 | 166.655451 | -999.0 | 0.014850 | 0.016013 | -999.0 | -999.0 | ... | 0.9353 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | POINT (-96.62598 43.73628) | 2000-06-14 15:43:51 |
| 17682 | Sioux_Falls_X | 14:06:2000 | 15:58:53 | 166 | 166.665891 | -999.0 | 0.014560 | 0.016502 | -999.0 | -999.0 | ... | 0.9353 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | -999.0 | POINT (-96.62598 43.73628) | 2000-06-14 15:58:53 |
17683 rows × 116 columns
Visualize results on Map screen¶
In [4]:
Copied!
from folium import (
GeoJson,
LayerControl,
Map
)
from folium.plugins import (
Fullscreen
)
from IPython.display import (
display,
HTML
)
map: Map = Map()
layer_control = LayerControl(position="topright", collapsed=True)
fullscreen = Fullscreen()
style = {"fillColor": "#00000000", "color": "#0000ff", "weight": 1}
footprints: GeoJson = GeoJson(
geoparquet_data.dissolve(by='AERONET_Site').to_json(default=str),
name="Stac Item footprints",
style_function=lambda x: style,
control=True,
)
footprints.add_to(map)
layer_control.add_to(map)
fullscreen.add_to(map)
map.fit_bounds(map.get_bounds()) # type: ignore not to important for the demo
map
from folium import (
GeoJson,
LayerControl,
Map
)
from folium.plugins import (
Fullscreen
)
from IPython.display import (
display,
HTML
)
map: Map = Map()
layer_control = LayerControl(position="topright", collapsed=True)
fullscreen = Fullscreen()
style = {"fillColor": "#00000000", "color": "#0000ff", "weight": 1}
footprints: GeoJson = GeoJson(
geoparquet_data.dissolve(by='AERONET_Site').to_json(default=str),
name="Stac Item footprints",
style_function=lambda x: style,
control=True,
)
footprints.add_to(map)
layer_control.add_to(map)
fullscreen.add_to(map)
map.fit_bounds(map.get_bounds()) # type: ignore not to important for the demo
map
Out[4]:
Make this Notebook Trusted to load map: File -> Trust Notebook