Blog | Downloading images from Google Earth Engine to local drive (A case study for Timesat image pr

The website is a blog post on Medium.com by Kendall Frimodig titled "Efficient Object Detection within Satellite Imagery Using Python". However, the content currently displays a Cloudflare security check, indicating the website is temporarily unavailable. 


Efficient Object Detection Within Satellite Imagery Using Python | by Kendallfrimodig | Medium

The website is a blog post on Medium by Gabriel Godinho about querying and downloading Sentinel satellite data with Python. The content is currently unavailable due to a security check. 


Querying and Downloading Sentinel Satellite Data with Python

The website is a blog post on Medium by Kimutai Lawrence about accessing satellite imagery using Python. However, the content currently shows a Cloudflare security check, indicating the user needs to verify their identity before accessing the actual article. 


Accessing Satellite Imagery Using Python | by LAWRENCE KIMUTAI | Medium

This website provides a tutorial on how to use pretrained weights in TorchGeo, a geospatial deep learning library. The tutorial focuses on using these weights for classification tasks, specifically with the EuroSAT dataset. It covers setting up the environment, loading pretrained weights, and training a model using a provided example. 


Pretrained Weights — torchgeo 0.7.0.dev0 documentation

This website is a podcast called "Satellite Image Deep Learning" hosted by Robin Cole. The website features interviews with experts in the field of satellite image deep learning, discussing their research, products, and careers. It aims to keep listeners informed about the latest trends and advancements in the industry. 


Deepness QGIS plugin - by Robin Cole

This website provides a technical overview of Cloud Optimized GeoTIFF (COG) technology. It explains how COG utilizes GeoTIFF's ability to organize pixel data and HTTP GET range requests to enable efficient access and processing of geospatial imagery in cloud environments. The key features of COG are tiling, overviews, and compression, which allow for selective retrieval of data based on specific needs. The website also emphasizes the importance of community involvement and encourages users to contribute to the project on GitHub. 


Cloud Optimized GeoTIFF in depth

This website provides an example of how to use the `geoai-py` package to generate image chips from raster and vector data. It demonstrates downloading sample data, previewing it, converting vector to raster, generating image chips, and previewing the results. The code includes detailed instructions and output for each step. 


Image chips - geoai

The website, ArcGIS Living Atlas of the World, showcases a collection of deep learning packages created by Esri and others. These packages focus on various applications, including land cover classification, mangrove classification, plant disease identification, tree point classification, building point classification, and more. 


ArcGIS Living Atlas of the World

The website, GeoCorner, is a blog focusing on geospatial technology and coding. It features posts on topics like remote sensing, data science, and Python, as well as tutorials and news related to the field. 


Posts | GeoCorner | Page 3 of 3

PySTAC is a Python 3 library for working with SpatioTemporal Asset Catalogs (STAC). It provides features such as reading and writing STAC catalogs, in-memory manipulation, extended I/O support, efficient crawling, and writing different types of catalogs. The website includes installation instructions, a quickstart tutorial, documentation on concepts and tutorials, API reference, and links to related projects. 
