itohanosa

itohanosa's Stars

• Pecners/rayshader_portraits

  Language:R51895

• tashapiro/tanya-data-viz

  Personal data visualization side projects.

  Language:R32943

• adriadescals/LandSurfacePhenology_Sentinel2

  3820

• itohanosa/viz-pub

  A place to publish data-vizes

  1

• tjukanovt/qgis_styles

  Collection of resources to take your QGIS cartography to the next level

  16830

• joaosiqueira/dark-mode-gee

  Saving nerds eyes.

  Language:CSS154

• gee-community/awesome-google-earth-engine

  Curated list of Google Earth Engine resources

  9226

• opengeos/streamlit-geospatial

  A multi-page streamlit app for geospatial

  Language:Python858387

• initze/GEE_HotSpot

  Google Earthengine HotSpot Regions of Permafrost Change Production and Visualization

  Language:Python87

• geo-social/flowmapper

  Language:JavaScript416

• CartoDB/cloud-next

  Demo Google Maps Vector, Deck.gl and CARTO

  Language:JavaScript147

• anitagraser/QGIS-resource-collections

  912

• prs-eth/deeplab-lakeice-webcams

  [MDPI Remote Sensing 2020] Lake Detection and Lake Ice Monitoring with Webcams and Crowd-​Sourced Images (RGB) using Deep Learning (Deeplabv3+, Tensorflow)

  Language:Jupyter Notebook142

• D1noFuzi/cmd_styletransfer

  CVPR '21: In the light of feature distributions: Moment matching for Neural Style Transfer

  Language:Python5511

• adriadescals/oil_palm_riau

  Language:Jupyter Notebook62

• SERVIR-WA/GALUP

  Ghana Land Use Project

  Language:Python3822

• raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset

  Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

  Language:Jupyter Notebook7428

• demolakstate/anomaly_detection_sport_video

  Detecting anomalous tackles in sport video data

  Language:Jupyter Notebook61

• PratyushTripathy/Landsat-Classification-Using-Neural-Network

  All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.

  Language:Python7140

• opengeos/leafmap

  A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

  Language:Python3.2k374

• sentinel-hub/custom-scripts

  A repository of custom scripts to be used with Sentinel Hub

  Language:JavaScript653295

• smaprs/BrumadinhoDam

  3D DEM (digital elevation model) in orbital view of Brumadinho Dam Collapse

  Language:JavaScript172

• itohanosa/BrumadinhoDam

  3D DEM (digital elevation model) in orbital view of Brumadinho Dam Collapse

  1

• hfisser/s2_trucks

  Language:Python3

• itohanosa/landuse_classification

  Land Use Classification using Convolutional Neural Network in Keras

  1

• tavgreen/landuse_classification

  Land Use Classification using Convolutional Neural Network in Keras

  Language:Python4916

• KMarkert/EarthEngine.jl

  Google Earth Engine in Julia

  Language:Julia492

• gee-community/ee-tensorflow-notebooks

  Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.

  Language:Jupyter Notebook7531

• Frederick-Numbisi/Mapping-Agroforesty-Cocoa-Land-Use

  Image Texture Analysis of SAR images for delineating cocoa farms

  Language:R11

• itohanosa/MappingCAFS

  Image Texture Analysis of SAR images for delineating cocoa farms

  1