reinisindans

testCode

Pārbaudes uzdevuma kods, A/S Sadales Tīkli

BA

Bachelor thesis project

cm_predict

S2 full image prediction

CNN-Sentinel

Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

d3app2

App made with D3 and React

docker-geoserver

A docker recipe for GeoServer

Face-the-Spirit

Web-aplikācijas "Face the spirit" izstrāde

Gap_elimination

GazTest

Version2.0 of Test for interactive experimental sound art Project in Riga, Latvia. Based on audiolocative basis-app by Reinis Indans

InstanceSegmentation_Sentinel2

Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

IOER-Monitor

Der Monitor der Siedlungs- und Freiraumentwicklung (IÖR-Monitor) ist ein Fachinformationssystem zu Fragen der Flächennutzung in Deutschland. Er stellt auf der Basis von Indikatoren Informationen zur Flächennutzungsstruktur und ihrer Entwicklung sowie zur Landschaftsqualität in hoher räumlicher Auflösung für die Bundesrepublik Deutschland bereit.

LATAWorkshop20220203

LATA workshop 2022.02.03 materials

LiDAR-3D-Urban-Forest-Mapping

3D modeling of urban forests based on LiDAR point clouds

monitor-api

Flask Restful-API um die Services des IÖR und deren Nutzer zu verwalten.

monitor_old

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

script-server

Web UI for your scripts with execution management

sentinel2-cloud-detector

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

spatial-kde

Spatial Kernel Density / Heatmap raster creation from vector data

starter-kit

React Native project setup with Viro 🚀

tree-detection-evo

Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

vri-test

Testa uzdevums priekš VRi darba piedāvājuma