{"name": "TrendShift", "package_name": "TrendShift", "description": "Pixel-wise abrupt change point detection for raster time series using Pettitt's non-parametric test", "about": "TrendShift detects abrupt temporal shifts in time-ordered raster stacks. It estimates the most likely change point per pixel using Pettitt's non-parametric change point test and exports change step, change time, magnitude, direction, p-value, significance mask, and test statistic rasters. Designed for NDVI shifts, rangeland stress, forest disturbance, land-cover transitions represented as continuous indices, precipitation/temperature anomalies, water extent metrics, and other environmental raster time-series workflows.", "homepage": "https://github.com/mahmoodirfan/TrendShift", "repository": "https://github.com/mahmoodirfan/TrendShift", "tracker": "https://github.com/mahmoodirfan/TrendShift/issues", "author": "Irfan Mahmood", "tags": ["raster", "time series", "remote sensing", "ndvi", "temporal analysis", "environmental monitoring", "disturbance", "change point", "pettitt", "breakpoint"], "downloads": 238, "latest_version": "1.1", "versions": [{"version": "1.1", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 238, "uploaded_by": "mahmoodirfan", "upload_datetime": "2026-04-30T05:52:51.872285"}]}