yaron1000 Goto Github PK

2019_opengeohub_machine-learning-madlene

OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training

229

ai-for-remote-sensing

This is the basic tutorial for AI (ML or DL) for remote sensing.

airpollution

A map of the costs of air pollution in Israel

analyzing-and-predicting-wildfires

anilemrah.github.io

0

anyway

ANYWAY - Car accidents map

aqprediction

arop

Automated Registration and Orthorectification Package

baraln

barkbeetle_nrw

R scripts, input vector data and output raster data for master's thesis in Geoinformatics: "Evaluating Sentinel-2 and PlanetScope multispectral imagery in a machine learning approach to detect bark beetle infestation of spruce in North Rhine-Westphalia"

baydssat

bokeh-server-heroku

Run bokeh server on heroku

chaper1_uas_camatta

This project is the first research chapter of my dissertation proposal. I will be exploring the feasibility of using UAS remote sensing data to estimate forage production of a topographically heterogeneous rangeland nearby Atascadero, CA.

citytairmapping

Spatial interpolation of point Tair data from private weather stations using a Random Forest model with satellite and other predictor data.

cnn-models

comparemethod

From the viewpoint of feature engineering and feature learning, the influence of the classification strategy and the features on the result of built-up area extraction is synthetically analyzed.

convert_geotiff

A commandline utility for converting GeoTIFF files for use in WRF

crime-prediction

Initiate the cirme prediction algorithm

curlbus

Terminal based UI for Israeli public transit data

danielmoraite.github.io

A personal study collection for Data Science

dash

Interactive, reactive web apps in pure python :star:

deep-learning-for-satellite-imagery

Deep learning courses and projects

deep-neural-network-satellite-image-classification-in-google-colaboratory-ipython-note-book-

Deep Neural Network: Satellite Image Classification in Google Colaboratory iPython Note Book

dl_tutorial_rs

Introduction to convolutional neural networks (CNNs) with a remote sensing example.

dmlst

A tool for estimating daily mean MODIS land surface temperature (LST) using a predictor-corrector apporach. The codes are written in R.

downscale-satellitelst

A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.

downscaling-smap

Downscaling soil moisture estimates from NASA's SMAP mission 9km product

dssat-bppp

ee-rangelands

Maps and tools to assess the state and change of global grasslands based on fractional ground cover calculated on the Google Earth Engine