gee-polygons 0.0.4

A polygon-first Google Earth Engine library for extracting features, tracking changes over time, and preparing data for modeling or analysis.

gee-polygons

Usage

Installation

Install latest from the GitHub repository:

$ pip install git+https://github.com/aliceheiman/gee-polygons.git

or from conda

$ conda install -c aliceheiman gee_polygons

or from pypi

$ pip install gee_polygons

Documentation

Documentation can be found hosted on this GitHub repository’s pages. Additionally you can find package manager specific guidelines on conda and pypi respectively.

How to use

Initialize Earth Engine

import ee
ee.Authenticate()
ee.Initialize(project="your-project-id")

Load sites from GeoJSON

from gee_polygons import load_sites, Site

# Load all sites from a GeoJSON file
sites = load_sites('path/to/sites.geojson')
print(f"Loaded {len(sites)} sites")

# Explore a single site
site = sites[0]
print(f"Site ID: {site.site_id}")
print(f"Area: {site.area_ha:.2f} ha")
print(f"Start year: {site.start_year}")

Load and filter with GeoDataFrame

For large datasets, load into a GeoDataFrame first for fast filtering:

import geopandas as gpd
from gee_polygons import sites_from_geodataframe

# Load into GeoDataFrame
gdf = gpd.read_file('path/to/sites.geojson')

# Filter and sort using pandas (fast, in-memory)
filtered = gdf[gdf['area_ha'] > 10].sort_values('start_year')

# Convert only filtered sites to Site objects
sites = sites_from_geodataframe(filtered)

Example use of dataset

from gee_polygons import SiteCollection
from gee_polygons.datasets.mapbiomas import MAPBIOMAS_LULC

# Load sites as a collection
collection = SiteCollection.from_geojson('path/to/sites.geojson')

# Extract categorical land cover data
result = collection.extract_categorical(
    layer=MAPBIOMAS_LULC,
    years=range(2010, 2024)
)

# Access results as a DataFrame
df = result.data
print(f"Extracted {len(df)} records")

Roadmap

Planned: - Verificiation of large-scale export jobs - Integration with ML workflows

Changelog

v0.0.4

New Features: - Added Site.from_geodataframe_row() to create a Site from a GeoDataFrame row - Added sites_from_geodataframe() to create Sites from a filtered/sorted GeoDataFrame - Enables workflow: load GeoJSON -> GeoDataFrame -> filter/sort -> Sites

Improvements: - NaN values in GeoDataFrame properties are now converted to None for Earth Engine compatibility

v0.0.3

New Features: - SiteCollection for batch operations with chunking - Export to Google Drive and Cloud Storage

v0.0.2

• Various bug fixes

v0.0.1

Initial Release: - Site class for polygon-first GEE analysis - load_sites() to load sites from GeoJSON with automatic CRS detection - Pre-configured layers: MapBiomas, Dynamic World, Sentinel-2 - Categorical and continuous data extraction