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Deep Learning

2026

  • Antelope Valley Wildflower Forecast: An AI-powered bloom prediction tool for California poppies and goldfields in Antelope Valley, using deep learning on satellite imagery and weather data (accumulated precipitation, growing degree days, wind speed) to forecast wildflower blooms 5 days in advance. [Keywords: deep learning remote sensing wildflower bloom prediction satellite imagery weather California]

  • Urban Change Forecasting from Satellite Images: Uses a UNet model to predict imminent urban change from satellite imagery, enabling proactive urban planning and monitoring. [Keywords: deep learning urban change UNet satellite imagery urban planning forecasting]

2025

  • GeoDeep: A lightweight Python library for AI-powered object detection and semantic segmentation on geospatial raster images, with pre-trained models included for immediate use. [Keywords: deep learning geospatial object detection segmentation Python pre-trained]

  • Geo Deep - Sentinel-2 Super Resolution (Colab): Automated Sentinel-2 deep learning super-resolution inference notebook for upscaling 10m to 5m resolution. [Keywords: deep learning Sentinel-2 super resolution Python Colab]

Earlier

  • satellite-image-deep-learning: Comprehensive resource list for performing deep learning on satellite imagery. [Keywords: deep learning satellite imagery resources remote sensing]

  • Crop Classification CNN Fastai: Crop classification using convolutional neural networks with Fastai framework. [Keywords: deep learning crop classification CNN Fastai agriculture]

  • Development Seed TensorFlow EO Tutorial: Development Seed tutorial series on using TensorFlow for Earth observation tasks. [Keywords: deep learning TensorFlow Earth observation remote sensing Python]

  • Hill Shade with Neural Networks: Paper on cartographic relief shading using neural networks. VideoKeywords: deep learning cartography hillshade neural network visualization

  • Vessel Tracker - Ship Counting with Sentinel-1 and GEE: Ship counting and tracking using Sentinel-1 SAR imagery and Google Earth Engine. [Keywords: deep learning Sentinel-1 SAR ship detection GEE]

  • WorldStrat Super Resolution SPOT: Open-source high-resolution satellite imagery super-resolution using SPOT imagery. [Keywords: deep learning super resolution SPOT satellite imagery]

  • Transformers Hugging Face: Hugging Face repository of transformer models for NLP and vision tasks applicable to Earth observation. [Keywords: deep learning transformers Hugging Face NLP vision]

  • CloudSen12 - Cloud Detection for Sentinel: Deep learning dataset and models for cloud detection in Sentinel-1 and Sentinel-2 imagery. [Keywords: deep learning cloud detection Sentinel-2 dataset]

  • Satellite Image Time Series Annotated Datasets: Collection of annotated datasets for satellite image time series deep learning research. [Keywords: deep learning time series satellite imagery dataset annotation]

  • Satellite Image Normalization for Deep Learning: Sentinel Hub guide on how to properly normalize satellite images for deep learning applications. [Keywords: deep learning satellite imagery normalization preprocessing Sentinel Hub]

  • DeepWater: Deep learning model for global surface water mapping from satellite imagery. [Keywords: deep learning water mapping global satellite imagery]