0313Fly

0313Fly's Stars

• phikun/LAI-Inversion

  Assignment: Inverting Leaf Area Index (LAI) with MODIS data and ProSAIL model

  Language:Python154

• jgomezdans/prosail

  Python bindings for the PROSAIL canopy reflectance model

  Language:Python12764

• andrewsoong/MicapsDataDraw

  气象数据可视化，用matplotlib和basemap绘制micaps数据

  Language:Python5

• julianmack/Data_Assimilation

  MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19

  Language:Python3521

• lucadelu/pyModis

  python library to work with MODIS data

  Language:Python16585

• shuaijieshen/statannotations

  add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

  2

• dongyi1996/Python_chazhi

  克里金插值和IDW插值

  Language:Python189

• jgomezdans/ensemble_wofost_assimilation

  Language:Python11

• linucks/fu_evapotranspiration

  A python implementation of the model from: Plant factories; crop transpiration and energy balance by Gaamans et al.

  Language:Python41

• manish-111/CROP-WATER-REQUIREMENT-USING-DUAL-CROP-COEFFICIENT

  This model is developed in python to calculate the crop water requirement using penman montieth equation and using dual crop coefficient. model also calculate the availabe water content in the soil through out the crop period.

  Language:Python2

• bzb0060/CropModels

  python_project_cropModel

  Language:Python1

• HaoweiGis/Winter-Wheat-Yield-Estimation

  Winter Wheat Yield Estimation from Multi-temporal Remote Sensing Images Based on Convolutional Neural Networks

  Language:Python157

• NCAR/hrldas

  HRLDAS (High Resolution Land Data Assimilation System)

  Language:Jupyter Notebook5052

• qzhang95/SGD-SM

  Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019

  Language:Python266