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fireseverityapp2014

fireseverityappdoc

Initi Documentation

fireseverityappproject

Init Android Generated Project

get-landsat-fires

Fetch Landsat fire rasters and stick them in S3

getlandsat

get landsat 8 images and metadata

landsat

:exclamation: This is a read-only mirror of the CRAN R package repository. landsat — Radiometric and topographic correction of satellite imagery

landsat-analysis-in-r

Scripts for some Landsat (satelite images) analysis in R

landsat-download

Automated download of LANDSAT data from USGS website

landsat_preprocess

IPython notebook documenting a workflow for preprocessing Landsat data

landsat_processing

Code for processing TEAM network landsat data

landsatlinkr

An automated system for creating spectrally consistent and cloud-free Landsat image time series stacks from a combination of MSS, TM, ETM+, and OLI sensors

landsattools

Tools for pre-processing Landsat data

msscvm

Automated cloud masking for Landsat MSS images

raster-data-processing

Scripts to use R as a GIS. I use raster data in my analyses and need to process them. Most is with EEFlux ET or Landsat NDVI (raster to points, clipping, interpolation, time series analyses, gap masks, and dealing with EEFlux ET false zero data). Included is a MODIS ET/NDVI reprojection script.

remote-sensing-indices-derivation-tool

Calculate spectral remote sensing indices from satellite imagery

remote-sensing-resistance

Does heterogeneity in forest structure make a forest resistant to wildfire? That is, does greater heterogeneity decrease wildfire severity when a fire inevitably occurs?

rf-classification

use random forest to classify a landsat image.

rgrowth

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

rlandsat8

R package to process USGS Landsat 8 data

sentinel-download

Automated download of Sentinel-2 L1C data from ESA (through wget) :http://olivierhagolle.github.io/Sentinel-download

timesyncr

Implementation of TimeSync (Cohen et al., 2010) in R for calibration/validation of Landsat time series based change detection methods.

wildfire-tree-mortality

Wildfire tree mortality detection and prediction using LiDAR and Landsat