Crate oxigdal_temporal 

OxiGDAL Temporal Analysis

Comprehensive multi-temporal raster analysis library for geospatial time series.

This crate provides advanced temporal analysis capabilities for raster data including:

• Time-indexed raster collections with lazy loading
• Temporal compositing (median, mean, max NDVI, quality-weighted)
• Temporal interpolation and gap filling
• Temporal aggregation (daily, weekly, monthly, yearly, rolling)
• Change detection (BFAST, LandTrendr, differencing)
• Trend analysis (Mann-Kendall, Sen’s slope, linear regression)
• Seasonality detection and decomposition
• Anomaly detection
• Time series forecasting
• Breakpoint detection
• Multi-dimensional data cube operations

Features

• timeseries - Time series raster collections
• compositing - Temporal compositing methods
• interpolation - Temporal interpolation
• aggregation - Temporal aggregation
• change_detection - Change detection algorithms
• trend_analysis - Trend analysis methods
• phenology - Vegetation phenology
• datacube - Data cube operations
• zarr - Zarr storage integration
• parallel - Parallel processing support

Examples

Creating a Time Series

use oxigdal_temporal::timeseries::{TimeSeriesRaster, TemporalMetadata};
use chrono::{DateTime, NaiveDate, Utc};
use scirs2_core::ndarray::Array3;

let mut ts = TimeSeriesRaster::new();

let dt = DateTime::from_timestamp(1640995200, 0).expect("valid timestamp");
let date = NaiveDate::from_ymd_opt(2022, 1, 1).expect("valid date");
let metadata = TemporalMetadata::new(dt, date);
let data = Array3::zeros((100, 100, 3));

ts.add_raster(metadata, data).expect("should add");

Temporal Compositing

use oxigdal_temporal::compositing::{TemporalCompositor, CompositingConfig, CompositingMethod};

let config = CompositingConfig {
    method: CompositingMethod::Median,
    max_cloud_cover: Some(20.0),
    ..Default::default()
};

let composite = TemporalCompositor::composite(&ts, &config)
    .expect("should create composite");

Trend Analysis

use oxigdal_temporal::analysis::trend::{TrendAnalyzer, TrendMethod};

let result = TrendAnalyzer::analyze(&ts, TrendMethod::MannKendall)
    .expect("should analyze trend");

Change Detection

use oxigdal_temporal::change::{ChangeDetector, ChangeDetectionConfig, ChangeDetectionMethod};

let config = ChangeDetectionConfig {
    method: ChangeDetectionMethod::BFAST,
    ..Default::default()
};

let changes = ChangeDetector::detect(&ts, &config)
    .expect("should detect changes");

Re-exports

pub use error::Result;

pub use error::TemporalError;

pub use timeseries::CubeDimensions;

pub use timeseries::CubeMetadata;

pub use timeseries::DataCube;

pub use timeseries::PixelStatistics;

pub use timeseries::TemporalMetadata;

pub use timeseries::TemporalRasterEntry;

pub use timeseries::TemporalResolution;

pub use timeseries::TimeSeriesRaster;

pub use timeseries::TimeSeriesStats;

pub use stack::InterpolationMethod;

pub use stack::RasterStack;

pub use stack::StackConfig;

pub use stack::StackMetadata;

pub use analysis::anomaly::AnomalyDetector;

pub use analysis::anomaly::AnomalyMethod;

pub use analysis::anomaly::AnomalyResult;

pub use analysis::forecast::ForecastMethod;

pub use analysis::forecast::ForecastParams;

pub use analysis::forecast::ForecastResult;

pub use analysis::forecast::Forecaster;

pub use analysis::seasonality::SeasonalityAnalyzer;

pub use analysis::seasonality::SeasonalityMethod;

pub use analysis::seasonality::SeasonalityResult;

pub use analysis::trend::TrendAnalyzer;

pub use analysis::trend::TrendMethod;

pub use analysis::trend::TrendResult;

pub use compositing::CompositeResult;

pub use compositing::CompositingConfig;

pub use compositing::CompositingMethod;

pub use compositing::TemporalCompositor;

pub use change::BreakpointDetector;

pub use change::BreakpointMethod;

pub use change::BreakpointParams;

pub use change::BreakpointResult;

pub use change::ChangeDetectionConfig;

pub use change::ChangeDetectionMethod;

pub use change::ChangeDetectionResult;

pub use change::ChangeDetector;

pub use gap_filling::GapFillMethod;

pub use gap_filling::GapFillParams;

pub use gap_filling::GapFillResult;

pub use gap_filling::GapFiller;

pub use aggregation::AggregationConfig;

pub use aggregation::AggregationResult;

pub use aggregation::AggregationStatistic;

pub use aggregation::TemporalAggregator;

pub use aggregation::TemporalWindow;

pub use phenology::PhenologyConfig;

pub use phenology::PhenologyExtractor;

pub use phenology::PhenologyMethod;

pub use phenology::PhenologyMetrics;

Modules

aggregation

Temporal Aggregation Module

analysis

Temporal Analysis Module

change

Change Detection Module

compositing

Temporal Compositing Module

error

Error types for OxiGDAL Temporal Analysis

gap_filling

Gap Filling Module

interpolation

Legacy interpolation module - use gap_filling instead

phenology

Vegetation Phenology Module

stack

Raster Stack Operations Module

timeseries

Time Series Raster Module

trend

Legacy trend module - use analysis::trend instead

Constants

VERSION

Library version

Functions

version

Get library version information