Mu-Shao

Mu-Shao's Stars

• TUW-GEO/ismn

  Readers for the data from the International Soil Moisture Network

  Language:Python3121

• GuanRunwei/Awesome-Vision-Transformer-Collection

  Variants of Vision Transformer and its downstream tasks

  19524

• santiagooz/GNSS-R_raw_data_processing

  Set of Matlab scripts to process GPS L1 C/A reflected signals from CYGNSS Level 1 Raw Intermediate Frequency Data Records.

  Language:MATLAB81

• DanielTBaker/arcqua

  Functions for measuring wind direction from CYGNSS data

  Language:Python1

• ICCT-ML-in-geodesy/CyGNSS-windspeed

  Language:Jupyter Notebook3

• MiXIL/cygnss_doc

  Amer's documentation for cygnss project

  Language:Jupyter Notebook2

• WillBekerman/satellite-wind-speeds

  Examining and quantifying the discrepancies in wind speed observations recorded by CYGNSS and Jason-3 satellites.

  Language:R3

• katjensen/cygnss-wetlands

  A repo dedicated to investigating global inundation patterns with NASA CYGNSS observations and other supporting data sources.

  Language:Jupyter Notebook4

• blasco/GNSS-R-DDM-Simulator

  Language:Jupyter Notebook2216

• hectornieto/model_evaluation

  Python code for evaluating geophysical models using conventional and triple collocation methods

  Language:Python209

• sahilag22/COURSE-PROJECT-CE670A-

  Soil Moisture Estimation using CYGNSS Mission Data

  Language:Jupyter Notebook3

• chrimerss/CYGNSS_SMAP_ASM

  Language:Jupyter Notebook2

• santiagooz/ISMN_CYGNSS_Integration

  Integration of data from the International Soil Moisture Network (ISMN) and CYGNSS mission for Remote Sensing applications.

  Language:Python2

• tshibuk/CYGNSSdownload

  download cygnss data from podaac ftp server

  Language:Python1

• Shray64/CYGNSS-Derived-SM-Using-Machine-Learning

  University of Texas at Austin, Austin, TX

  Language:Jupyter Notebook41

• vegardhaneberg/SpecializationProject

  A machine learning approach to soil moisture estimation using NASA's CYGNSS data.

  Language:Python82

• jmwu729/CYGNSS_DownLoad

  CYGNSS Data DownLoad by python

  Language:Jupyter Notebook51

• jjmcnelis/cygnss-data-pub-l3sm

  A script and documentation to describe PODAAC revisions to the original netCDF outputs produced for CYGNSS L3 Soil Moisture (Chew & Small 2020)

  Language:Python33

• PKUliubaojian/Read_and_Filter_CyGNSS

  Language:Jupyter Notebook53

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.2k1.6k

• ChenZhiheng-NJU/SurfaceWaterMonitoringProject

  72

• Mahyarona/Flood-Detection-Algorithm-using-GEE

  A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population

  Language:JavaScript4929

• adugnag/gee_s1_ard

  Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

  Language:Python22780

• adugnag/deSpeckNet-TF-GEE

  This implementation uses python to seamlessly integrate Sentinel-1 SAR image preparation in GEE with deep learning in Tensorflow for SAR image despeckling.

  Language:Jupyter Notebook278

• swcoughlan/flood-analysis

  Jupyter Notebook for SAR flood analysis in Pakistan with Google Earth Engine Python API

  Language:Jupyter Notebook3

• bvoelker373/GEE_Timeseries_SAR_ChangeDetection

  Language:Python2

• lumoe/sar_based_flood_mapping

  Semantic Segmentation for flood and water pixel segmentation

  Language:Jupyter Notebook2

• rodekruis/Automated-flood-extent-mapping

  Language:Jupyter Notebook1

• dianaarchi/flood_hazard_mapping

  Language:Jupyter Notebook1

• xumeng0822/GlobalUrbanFloodMapping

  This repository contains the code and data used in our reseach.

  Language:Python1