Using GeoAI for mapping and understanding Landslide and its early warning system.

This repository contains the data and scripts for the Laramie Hydrologic Story Map. This project demonstrates the integration of in-situ field observations (360° Virtual Field Trips) with NASA Eart…

Reanalysis of Buffon et al. (2025) impinging jet dataset for pressure-erosion reversal hypothesis.

Causal Drivers of Soil Erosion Dynamics: A Granger Causality Framework Combining Landsat Time Series and Climate Data (2006-2016).

This repository implements a complete, robust validation framework for the Geomorphic Anomaly Index (GAI)–based flood detection and assessment.

Projecting Soil Degradation Vulnerability Across the Contiguous United States under Changing Climate and Land Use.

patchseg-grainseg is a lightweight, transparent Python package for grain and clast segmentation in geoscience imagery, including gravel-bed photos, petrographic thin sections, and laboratory photog…

Validating the Livelihood Vulnerability Index: Predicting Disaster Impacts in Indigenous Nepalese Communities

bayesImageCause is an R package for Bayesian Causal Inference with Image Data. It provides a complete workflow for estimating pixel-level causal effects when treatments are images (2D/3D arrays) an…

The framework extracts river centerlines from Landsat time series (1984-2024) and models meander migration as a function of local curvature.

patchseg is a Python module that provides a lightweight, patch-based approach to segmenting granular materials in images.

Longitudinal Profile Constrained Cross-sections (LPCC) is an open-source Python tool that extracts elevation cross-sections from Digital Elevation Models (DEMs) along user-defined valley centerline…

Visualize temporal changes

This repository integrates NASA–ISRO NISAR Synthetic Aperture Radar data with Sentinel‑1/2, USGS 3DEP, NHDPlusV2, SSURGO soils, and USGS Water‑Use datasets to map and analyze.

Noise-Robust Weakly Supervised Deep Learning for Global Gullies, Badlands, and Terraces Detection from Heterogeneous Mapping Contributions

Spatiotemporal coupling of urbanization, surface heat islands, and escalating energy demand in a Himalayan valley: A remote sensing and econometric approach

This repository for Geoinformatics Earth Observation Artificial Intelligence Remote Sensing

Include land, water and aerial surveying data, content and details

Learn something today mentorship for the unheard

Optimized Dynamic Programming (Dynamic Time Warp) as a Python external

[DEPRECATED] Used by landsat-util for downloading landsat and sentinel-2 data

Material for the course on machine-learning based environmental monitoring at geostat 2018

Simple Naive Bayes classification is utilized for segmenting satellite images into river and non-river points.

QGIS plugin for automatic Bankfull Detection

FLaSh-Map is a deep learning framework for segmenting fluvial landforms and detecting morphodynamic change using multi-modal satellite imagery (Sentinel-2 and ALOS-2 PALSAR-2). It enables direct in…

The study uses a crucial paired-river comparison (one dam-regulated, one free-flowing) to isolate the dam's effect and validate the metric without relying on expensive, time-consuming ground truth …

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A Google Earth Engine (GEE) and Python-based framework for data-driven classification of flood resilience using multi-temporal satellite embeddings. This tool autonomously defines resilience classe…