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Follow up covid19-tweets-mood-tetis with some extract for sentiment analysis !

Convert DMP OPIDOR's maDMP data model into a metadata record in the geonetwork server

The STGCNNeo implementation

Demo ; simple interactive tool to show the probability of occurence of k floods with a return period superior to T in N years. It also displays the addition from 0 to k, i.e. the probability of k such floods at most.

Synthetic River toolkit is a Python library designed to extract, arrange and display data from synthetic river simulations. It aims to compare reference velocities from simulation to measurements. Compatibility with LSPyIV lib is proposed.

Extract terms from tweets about covid19 :

1/ Extact and Preprocess tweets from https://github.com/echen102/COVID-19-TweetIDs

2/ Index in elasticsearch and build H-TFIDF

3/ Analyse resultst

A Compilation of DL models for SITS classification TempCNN HOb2sRNN

Qgis plugin for hru-delin

The MORINGA processing chain: land cover mapping from VHSR imagery and HR time series using OBIA

Computes soil moisture over agricultural areas

Collect tweets for H2020 MOOD project

Agricultural frozen areas detection from Sentinel-1 SAR time series

Tools for tropical forest characterization from Sentinel imagery

Wrapper to use Biotex in Python

Codes didactiques pour manipuler les notions de période de retour des crues, avec texte explicatif sur le wiki. Ces codes ont servi à illustrer le billet de blog "La « crue centennale » prise la main dans le sac !" de l'association EauDyssée, à destination du grand public. Le développement se poursuit en parallèle en anglais (projet "bag of floods").