mkganyago

mkganyago's Stars

• RobsonTigre/CausalTimeSeries

  Tutorial on CausalImpact and CausalArima

  Language:R6

• c-hydro/reflex

  :ocean: REFlEx (Rapid Estimation of FLood EXtent) is the geomorphologic inundation model developed at CIMA Foundation

  Language:Python5

• acolite/acolite

  ACOLITE: generic atmospheric correction module

  Language:Python16163

• IPL-UV/ee_BioNet

  The Google Earth Engine implementation of the BioNet algorithm to estimate biophysical parameters along with their uncertainties.

  Language:JavaScript359

• IPL-UV/ee_ipl_uv

  Multitemporal Cloud Masking in the Google Earth Engine

  Language:Jupyter Notebook7121

• IPL-UV/gp_sens

  Gradient-Based Sensitivity Analysis for Gaussian Process Emulation

  Language:Jupyter Notebook31

• palubad/LST-downscaling-to-10m-GEE

  A tool to downscale Landsat Land Surface Temperature to 10 m using Sentinel-2 data in GEE. Attachment for the article in Remote Sensing: Onačillová et al. 2021: Combining Landsat 8 and Sentinel-2 Data in Google Earth Engine to Derive Higher Resolution Land Surface Temperature Maps in Urban Environment. https://doi.org/10.3390/rs14164076

  Language:JavaScript298

• tadz-io/hydropt-notebooks

  Notebooks and data accompanying the HYDROPT framework

  Language:Jupyter Notebook3

• tadz-io/hydropt

  HYDROPT is an open-source framework for forward and inverse modelling of multi- and hyperspectral observations from oceans, coastal and inland waters. Our framework is based on radiative transfer principles and is sensor agnostic .

  Language:Python194

• djamainajib/SL2P_DASF

  Language:MATLAB21

• IPL-UV/kNDVI

  Kernel vegetation indices and the kernel NDVI

  Language:Python4914

• pbenner/gp.regression

  Gaussian Process Regression Library for GNU-R

  Language:R64

• sentinel-hub/field-delineation

  Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.

  Language:Jupyter Notebook15053

• oliversefrin/lstm-sentinel2-landcover

  Code for journal paper "Deep Learning for Land Cover Change Detection".

  Language:Python389