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ajitjohnson.github.io

Blogging site run with jekyll

bayts

Set of tools to apply the probabilistic approach of Reiche et al. (2015, 2018) to combine multiple optical and/or Radar satellite time series and to detect deforestation/forest cover loss in near real-time. The package includes functions to apply the approach to both, single pixel time series and raster time series. Examples and test data are provided below.

biomassuptakerates

ccdc

Automatically exported from code.google.com/p/ccdc

cnn-remote-sensing

A tool for CNN multiclass classification based on hyperspectral aerial data.

collect-earth

Open Foris Collect Earth. Augmented Visual Interpretation through Google Earth

custom-scripts

A repository of custom scripts to be used with Sentinel Hub

earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

gee-composite

Make cloud-free Landsat and Sentinel 2 composites using Google Earth Engine Python API

geebap

Best Available Pixel (BAP) composite in Google Earth Engine (GEE) using the Python API

landsat-extract-gee

Get Landsat surface reflectance time-series from google earth engine

multitemporal-metrics-sentinels

This script calculates multitemporal metrics out of Sentinel 1 & 2 imagery on Google Earth Engine. Outputs are: Sentinel-2 median composite. RGB composite of NDBI, NDVI and NDWI. Sentinel-1 composite of percentile 90, 50, 05 and standard deviation of VV and VH polarizations. Inputs: dates, geometry and Sentinel-1 orbit path (optional).

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

sentinel2-cloud-detector

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

sits

Satellite image time series in R

tra

The source codes of Time-series-based Reflectance Adjustment (TRA) approach (Windows C/C++ and MATLAB version)