hulaba's repositories
PairLoss
Demo Code for paper 'When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs (TGRS)'
LCD
The Normalized Difference Vegetation Index (NDVI) for the study time period is calculated and then compared to the maximum and minimum NDVI from a baseline range of years in order to calculate Relative Greenness (RG). The change in RG from the previous year is found, and this allows the user to identify abrupt change in vegetation. Normalized Burn Ratio (NBR) and USDA Croplands Dataset have been added as additional datasets that can help establish if the change was caused by a fire or by a change in crop type. Recent available NAIP imagery for the study area is also included, as an example of what is available for high resolution imagery within GEE. Based on a date input by the user, the map viewer displays the RG, the change in RG, the percent change in RG, and the NBR, along with the Cropland layer from that year and NAIP imagery taken closest in time to the requested display date.
Crop_Phenology_allcodes
This repository contains all the codes i wrote to process and analyze crop phenology data
DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
SENet_ResNeXt_Remote_Sensing_Scene_Classification
SENet ResNeXt and Resnet for High-resolution Remote Sensing Scene Clasisification
LifeScienceAI
Reference MEMO of LifeScience AI
Airport-VS-Port
A sample CNN for remote sensing scenes classification
Crop_phenology
Crop phenology code for Nebraska 2002-2015
predict_crop_yield
Python scripts to download image data from MODIS satellite to Google Drive, then process the images, and predict crop yield using Deep Learning.
pygee
Helper functions to use gee python api
zalando-pytorch
Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
jiaowu_UCAS
国科大选课、评教
poetry-seq2seq
Chinese Poetry Generation
Crop-Density-Estimation-from-Imagery
Here is the matlab code to reproduce the work in paper: Estimation of Wheat Plant Density at Early Stages Using High Resolution Imagery
keras-image-classification
Using Kaggle cats vs dogs dataset
HORD
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
crop-yield-prediction-project
Understanding crop yield predictions from CNNs as our final project for CS231N
yeoman_climate_prediction
Predicting agriculture crop yields using climate modeling and deep learning.
CropPredict
Prediction of crop yields using machine learning.
LandTrendr-2012
LandTrendr Code (from /projectnb/trenders/code/LandTrendr2012)
geostatistics
Basic implementation of simple kriging predictions and stochastic simulations using Numpy, along with methods for cross-validation and visualization.
OL3Demo
from 《WebGIS之OpenLayers全面解析》
dalec2
DALEC2 model and 4D-Var assimilation functions.
PcArcBruTile
在ArcGIS中快速加载网络地图
TensorFlow-Examples
TensorFlow tutorials and code examples for beginners
datatools
Automatically exported from code.google.com/p/datatools
FinalProject_CarFar
FInal project for Geoscripting course GRS__33806_2015_3with the name ¨Crop type mapping using temporal dynamics¨