USDA CropLand Data: CropScape - NASS CDL Program.listicle of 15 free satellite data sources: 15 Free Satellite Imagery Data Sources - GIS Geography.A comprehensive & actively maintained list of geospatial data competitions & their datasets: GitHub - chrieke/awesome-satellite-imagery-datasets: □️ List of satellite image training data.published paper and code about BA-Net (“burned areas neural network”) which can use multi-day sequences of multi-spectral imagery to map and date burned areas.2nd place finish and 3rd place finish in the WiDS Datathon 2019!.2nd place finish in CrowdAnalytix’s “ Agricultural Crop Cover Classification Challenge": Deep Learning Applications in Agriculture.& Blog post on swimming pool detection and classification.GitHub - daveluo/zanzibar-aerial-mapping: Open source notebooks to create state-of-the-art detecti building segmentation & classification from drone imagery in Zanzibar project:.& 14th place (top 2%!) finish on Kaggle’s Airbus Ship Detection Challenge: Share your work here.“Your City from Space” satellite image project: Share your work here.(non-exhaustive, please add any I’ve missed): Projects & achievements by Fast.ai students posted here, mapping solar PV globally using ML at Open Climate Fix.posted here, Esri’s new R&D center in New Dehli focused on geoDL:.a complete workflow tutorial of building segmentation over drone imagery in Zanzibar with fastai v1 + latest geodata tools: conceptual overview Medium post and interactive code notebook on Colab.Solaris - Geospatial Machine Learning Analysis Toolkit by Cosmiq Works: GitHub - CosmiQ/solaris: CosmiQ Works Geospatial Machine Learning Analysis Toolkit.Raster Vision - an open source framework for deep learning on satellite and aerial imagery by Azavea: GitHub - azavea/raster-vision: An open source framework for deep learning on satellite and aerial.Robosat - semantic segmentation on aerial and satellite imagery: GitHub - mapbox/robosat: Semantic segmentation on aerial and satellite imagery.Chris Holmes’ excellent and extensive blog series on “Cloud Native Geospatial”: Latest stories and news about Cloud Native Geospatial - Medium.The convention of Slippy Map and how to use it to get geographic coordinates from local map tile image: Share your work here ✅ - #585 by daveluo.U Washington’s GeoHackWeek tutorial series on geospatial data science tools: Geohackweek 2019.This is now a wiki post so please feel free to edit to add more: Knowledge Base and Tools: To kick things off, here are some starter lists of resources and recent relevant posts. Spacenet Enterprises India Limited has informed the Exchange about Certificate Pursuant to Regulation 74(5) of SEBI (Depositories and Participants) Regulations, 2018 for the quarter ended 30th September, 2022.Inspired by people’s projects & interest in geospatial analysis (and following the excellent example of the active & interesting time series/sequential data study group), here is a wiki post & dedicated thread for us to come together in sharing know-how, questions, project collaborations, & new ideas for applying cutting edge deep learning with fast.ai to improve our geospatial understanding of the world. Affirmation that the Director being appointed is not debarred from holding the office of director by virtue of any SEBI order or any other such authority The response of the company is awaited. The Exchange has sought clarification from Spacenet Enterprises India Limited with respect to announcement dated 2 informing about Outcome of Board Meeting.On the basis of aforesaid announcement, the Company is required to provide/clarify the following: 1.
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