Feature data (geometries and attributes)

import ee
import geemap

# Trigger the authentication flow.
ee.Authenticate()

# Initialize the library.
ee.Initialize(project='your-gee-project-id-here') 

# Define a point (For example, a location in the Philippines)
point_geometry = ee.Geometry.Point([124.615, 8.445])

# Create a Feature by attaching data (like crop type) to that geometry
farm_feature = ee.Feature(point_geometry, {
    'crop_type': 'Calamansi',
    'farmer_name': 'Juan Dela Cruz',
    'area_hectares': 2.5
})

# Request the data dictionary back from the server to view it
feature_data = farm_feature.getInfo()

print("Farm Feature Data:")
print(feature_data)

# Pure EE approach

import ee
import json

data_polygons = 'data/psa-geoshape-odk-020426.geojson' 

with open(data_polygons) as f:
    geojson = json.load(f)

farm_polygons = ee.FeatureCollection(geojson)

# Easier geemap approach
import geemap
import pandas as pd
import geopandas as gpd

data_points = 'data/psa_geopts_odk_021026-edited.csv'

df = pd.read_csv(data_points)
gdf = gpd.GeoDataFrame(
    df, geometry=gpd.points_from_xy(df["crop_location-Longitude"], df["crop_location-Latitude"]), crs="EPSG:4326"
)

geemap_farm_points = geemap.geopandas_to_ee(gdf)

# Write your solution here

m = geemap.Map()

m.add_layer(farm_feature, name="Farm Feature")
m.add_layer(farm_polygons, name="Farm Polygons")
m.add_layer(geemap_farm_points, name="Farm Points")
m.centerObject(point_geometry, 10)

m