dan-r-sco Goto Github PK

adv-python-for-gis-and-rs

Ideas for a more advanced Python class for GIS and Remote Sensing, https://gbrunner.github.io/Advanced_Python_for_GIS_and_RS/

crcpython

Image Analysis, Classification and Change Detection in Remote Sensing

dan-nlp

Examples using Tweepy

datacamp-projects

Notebooks of Datacamp projects

deeplearning

earthmapper

Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery

flower_classifier

PyTorch challange at Udacity - flower classifier

general

geog2021

Geog 2021 Environmental Remote Sensing

gis

Scripts created for database management, mxd management and automation

kaggle-challenges

Selection of some interesting Kaggle Kernels

kaggle-satellite-imagery-feature-detection

Satellite Imagery Feature Detection (68 out of 419)

normalization_vs_standardization

oosa

oosa-2020

oosa_final_assignment

Code written for final assignment of my MSc class 'Object Oriented Software Engineering: Spatial Algorithms'. Processes NASA's Operation IceBridge data over Pine Island Glacier.

predicting-poverty

Combining satellite imagery and machine learning to predict poverty

prml

PRML algorithms implemented in Python

pythonfromspace

Python Examples for Remote Sensing

pytorch

Repo for notebooks created throughout pytorch lessons

r-projects

remote-sensing-with-python

rl2020_building-a-complete-rl-system_demonstration

Demonstration code for the "Building a Complete RL System" lecture of the Reinforcement Learning course at the University of Edinburgh

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

satellite-imagery-analysis-with-python

Getting acquainted with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.

satellite_imagery_python

Sample sample scripts and notebooks on processing satellite imagery

satellite_things

Repo for holding my satellite notebooks

space_ag

terrapattern

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.