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r_cheat_sheet

This document is for storage of packages, functions, and R Code useful for CMAR operations

r_scripts

radar-based-flood-mapping

This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.

radiometric-slope-correction

Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine

randomforestforremotesensing

rapideye-cropclass

recol-verse

A list of R packages that are focused on Ecology

remarkable

Remarkable - The Markdown Editor for Linux http://remarkableapp.github.io

remote-prediction-of-tree-mortality

Using time series analysis of satellite imagery to predict conifer tree mortality due to the 2012-2016 drought in the Sierra Nevada mountain range of California.

remote-sensing-aquaculture

Remote sensing: tracking aquaculture in South Vietnam through Google Earth Engine

remote-sensing-data-processing

remotesensingthesis

Thesis on Remote-Sensing of Vegetation Cover Loss using the Random-Forests Algorithm and Change Detection Techniques in Dharamshala Tehsil Region, Indian Northwestern Himalayas

reproducible-science

material for teaching reproducible science with R and RStudio

res2_bolivia_rct

RapidEye Sentinel2 processing chain, Bolivia RCT

research

2017 ongoing research

rgistools

Tools for Downloading, Customizing, and Processing Time Series of Satellite Images from Landsat, MODIS, and Sentinel

rgrowth

Post-disturbance regrowth monitoring using Landsat Time Series (LTS)

rhydro_egu18

Using R in Hydrology - EGU2018 Short Course

rlandsat

R Package to make Landsat8 data accessible

rmarkdown

Dynamic Documents for R

rmd_workshop

Materials for a workshop on writing reproducible research papers with R Markdown

roiseries

Multitemporal Remote Sensing Feature Mining for Machine Learning Applications

rsenal

magic R functions for things various

rsmove

Remote Sensing for Movement Ecology

rspatial-map-challenge-2020

A list of maps created for #30DayMapChallenge using #rspatial

rticles

LaTeX Journal Article Templates for R Markdown

satellite

:exclamation: This is a read-only mirror of the CRAN R package repository. satellite — Handling and Manipulating Remote Sensing Data

satellite-1

Class and preprocessing methods for (satellite) remote sensing datasets

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

satellite_imagery_analysis

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.