yaron1000 Goto Github PK

landcover-rse

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.

landsat-download

Automated download of LANDSAT data from USGS website

landsat-landstats

Using LANDSAT7 satellite images to predict population.

lfcgm

lfcgm is a python Spyre app that uses ggplot to plot the LFC player's Age against League Goals per season.

libra

Ergonomic machine learning for everyone.

lsht-hslt-modis-landsat-fusion

Super-resolution approach to Modis-Landsat RS data Fusion

lst-downscaling

We would like to downscale the LST acquired using MODIS to the irresolution of SPOT

mapheatrisk

mileston_stock_historic_data

Bokeh plot embeded With Flask Webapp

ml_tign

ML fire arrival time estimation using satellite data

modis-downscaling

Downscaling 500m and 1000m MODIS spectral bands to 250m

monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

nbashotchartsspyre

Spyre app that uses my nbaShotCharts module

ndvi-time-series

NDVI Time Series Tool that uses the Google App & Earth Engine

ndvi_fmhc

newfusion

Data Processing Tool for The Fusion Project

ogh19

stuff for the OpenGeoHub summer school, 2019

open-bus

Analysing Israel public transport data

open-geo-tutorial

Tutorial of fundamental remote sensing and GIS methodologies using open source software in python

opengeohub_2019

Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Münster 2019

openshift-mongo-flask-example

This is the code to go along with the OpenShift blog piece on how to use Flask (python) with MongoDB to create a REST like web service with spatial data

opentaba-server

ordinarykriging-regressionkriging-cokriging

applied in soil moisture

pb_carlos

paper of RSE-2018

pixtransform

Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation

planet-gee

"Useful libraries and scripts for using planet and google earth engine, including in conjunction

projectmaslst2

a clone of projectMASlst

pshapes_site

Pshapes django site, configured for Heroku.

pstcr

Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Cloud and Cloud Shadow Removal in Remote Sensing Imagery using Progressively Spatio-Temporal Patch Group Learning", (For Peer-Review), 2019.