vendor-utils

Search and Filter Data

Description: Use search parameters to filter available Planet data based on location, time frame, and specific requirements such as cloud cover percentage. This step helps select data efficiently based on specific analysis needs.

• Input: Bounding box coordinates, date range, maximum cloud cover percentage
• Expected Output: List of available imagery items matching the criteria

Code Snippet:

```python from planet import DataClient, filters

Define bounding box, date range, and cloud cover filter

bbox = [-122.5, 37.5, -121.5, 38.5] date_range = filters.date_range(“acquired”, gt=”2022-01-01”, lt=”2022-01-31”) cloud_cover = filters.range_filter(“cloud_cover”, lt=0.1)

Combine filters

combined_filter = filters.and_filter( filters.geom_filter(bbox), date_range, cloud_cover )

Initiate DataClient and search

client = DataClient(auth) results = client.search(name=”PSScene3Band”, filter=combined_filter)

print(“Number of images found:”, len(results))