anupupadhyaya

anupupadhyaya's Stars

• monocongo/climate_indices

  Climate indices for drought monitoring

  Language:Python34720311167

• royalosyin/Python-Practical-Application-on-Climate-Variability-Studies

  This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.

  Language:Jupyter Notebook238137130

• zhoukaisheng/Landslide-Susceptibility

  Landslide susceptibility mapping by deep learning and slope unit

  Language:Python604216

• scar-on/Landslide-susceptibility-mapping

  A tool for landslide susceptibility mapping(LSM) using CNN and machine learning 滑坡敏感性绘图（CNN and ML）

  Language:Python59215

• angelinkatula/Landslide-susceptibility-mapping

  Landslide susceptibility mapping using Machine Learning - A Danish case study

  Language:Jupyter Notebook34108

• Hejarshahabi/LSDRF

  Landslide detection using Random Forest model

  Language:Python17113

• uw-cryo/debris_cover_smb

  Tools and notebooks for computing surface mass balance over debris-covered glaciers from remote sensing products

  Language:Jupyter Notebook9201

• RaineyAbe/glacier-snow-cover-mapping

  Workflow and tools for detecting snow-covered area, accumulation area ratio, and seasonal snowlines on mountain glacier surfaces using Landsat 8/9, PlanetScope, and Sentinel-2 imagery.

  Language:Jupyter Notebook7108

• Timbo-Stillinger/Lab1-Operational-SWE-Products

  Explore and visualize operational SWE products. The AMSR-unified SWE product and the ERA-5 Near Real Time SWE product

  Language:Jupyter Notebook41017

• lvargo13/geodetic_mb

  calculate glacier geodetic mass balance

  Language:Python31

• MEDSsnowtoday/Tutorials

  Three Python-based tutorials created to help users through downloading, accessing, processing, and visualizing the National Snow and Ice Data Center's (NSIDC) Snow Today snow cover and albedo datasets.

  Language:HTML30

• 1kaiser/Snow-cover-area-estimation

  Estimating Snow ❄️using NDSI From MODIS satellite Data 2000 to 2021

  Language:Jupyter Notebook1101

• leibrocs/SnowCoverAnalysis_SpatialPython

  Language:Jupyter Notebook1

• Luiz-Octavioo/Climate_Extremes

  Análise de dados sobre Eventos Extremos Climáticos

  Language:Jupyter Notebook11

• mmenegoz/Snow_cover_analysis

  Climatology and trends of snow cover over mountainous areas

  Language:Jupyter Notebook1

• Timbo-Stillinger/Lab-3-Decision-Support-Tools-SWE-Reconstruction-and-fSCA-analysis

  Explore SWE reconstruction data and fractional snow cover maps over Afganistan

  Language:Jupyter Notebook11