Cherish (cherish2019)

cherish2019

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Company:Wageningen University

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Cherish's repositories

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).

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RNN-Time-series-Anomaly-Detection

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

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sentinel2-cloud-detector

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

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ajitjohnson.github.io

Blogging site run with jekyll

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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.

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ccdc

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

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CNN-remote-sensing

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

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collect-earth

Open Foris Collect Earth. Augmented Visual Interpretation through Google Earth

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custom-scripts

A repository of custom scripts to be used with Sentinel Hub

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earthengine-community

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

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gee-composite

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

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geebap

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

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landsat-extract-gee

Get Landsat surface reflectance time-series from google earth engine

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ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

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sits

Satellite image time series in R

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TRA

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

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