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Type: User
Location: UK
Type: User
Location: UK
Resources to support contribution to Asset Level Data project
Training U-Net based Convolutional Neural Network model to automatically identify and delineate brick kilns in Maxar Vivid base map imagery.
Practical evaluation of YOLOv3 object detection algorithm to automate detection of cars in COWC aerial imagery
Demonstration of SkyWatch EarthCache client API functionality
Train Convolutional Neural Network to predict land cover type from multispectral Sentinel-2 satellite imagery
Geological mapping with Sentinel-2 and ASTER
Resources to support contribution to GLA project
Utility client class for Global Economy API
Crop satellite imagery around annotated features of interest and generate label mask(s) for newly created image chips
Utility client class for OpenStreetMap Overpass API
Multi-label classification of Planet satellite imagery using standard convolutional neural networks
Practical exploration of PRISMA hyperspectral L2 datasets
Technology evaluation of pygeoapi - a Python server implementation of the OGC API suite of standards.
Training U-Net based Convolutional Neural Network model to automatically identify and delineate areas of qat agriculture in Sentinel-2 multispectral imagery.
Code and results created for Sentinel-1 ARD interoperability analysis
Spatiotemporal analysis of Sentinel-1 Ocean (OCN) L2 products over the Celtic Sea
Automated multi-step S1TBX workflow to process raw Sentinel-1 scenes crossing the antemeridian to ARD
Demonstration of multi-faceted capabilities of Sentinel Hub Process API in Python development environment
Practical evaluation of Matterport implementation of Mask-RCNN object detection algorithm.
Technical exploration reviewing capabilities and functionality of pystac library - a library for creating and managing SpatioTemporal Asset Catalogs (STAC)
Automated detection of moving objects in Sentinel-2 imagery using intra-detector parallax effect
Extract tiles from OGC WMTS end points collocated with annotated areas of interest and reassemble into a mosaicked georeferenced image
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