rss_core 0.6.0

Raster Source Service core library for querying, downloading, and processing remote sensing imagery
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rss_core - Remote Sensing Satellite Imagery Core

A Rust library for querying, downloading, and processing satellite imagery from multiple providers.

Quick Start

[dependencies]
rss_core = "0.5"

Features

  • Multi-source queries - Query imagery from STAC APIs and PostgreSQL databases
  • Canonical band names - Cross-provider band resolution ("red" → "nbart_red" for DEA, "band4" for Element84)
  • Product definitions - Declarative YAML-based product configurations
  • Python bindings - Optional PyO3 bindings for Python integration

Example

use rss_core::{query::ImageQueryBuilder, qvf::Collection, DEA};
use chrono::NaiveDate;
use std::path::PathBuf;

let query = ImageQueryBuilder::new(
    DEA,
    Collection::Sentinel2,
    rss_core::utils::Intersects::Scene(vec!["56jns".to_string()]),
)
.start_date(NaiveDate::parse_from_str("2022-01-01", "%Y-%m-%d").unwrap())
.end_date(NaiveDate::parse_from_str("2022-01-15", "%Y-%m-%d").unwrap())
.cloudcover((rss_core::utils::Cmp::Less, 10))
.canonical_bands(["red", "nir"])
.build();

let feature_collection = query.get(&PathBuf::from("./output"), None, None)?;

Documentation

Full API documentation: https://docs.rs/rss_core

Features

Feature Description
pyo3 Python bindings via PyO3 (requires Python 3.9+)

License

LGPL-3.0-or-later