hulaba's repositories

PairLoss

Demo Code for paper 'When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs (TGRS)'

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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.

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Crop_Phenology_allcodes

This repository contains all the codes i wrote to process and analyze crop phenology data

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DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

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SENet_ResNeXt_Remote_Sensing_Scene_Classification

SENet ResNeXt and Resnet for High-resolution Remote Sensing Scene Clasisification

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LifeScienceAI

Reference MEMO of LifeScience AI

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Airport-VS-Port

A sample CNN for remote sensing scenes classification

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Crop_phenology

Crop phenology code for Nebraska 2002-2015

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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.

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pygee

Helper functions to use gee python api

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zalando-pytorch

Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando

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jiaowu_UCAS

国科大选课、评教

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poetry-seq2seq

Chinese Poetry Generation

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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

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keras-image-classification

Using Kaggle cats vs dogs dataset

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HORD

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

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crop-yield-prediction-project

Understanding crop yield predictions from CNNs as our final project for CS231N

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yeoman_climate_prediction

Predicting agriculture crop yields using climate modeling and deep learning.

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CropPredict

Prediction of crop yields using machine learning.

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LandTrendr-2012

LandTrendr Code (from /projectnb/trenders/code/LandTrendr2012)

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geostatistics

Basic implementation of simple kriging predictions and stochastic simulations using Numpy, along with methods for cross-validation and visualization.

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OL3Demo

from 《WebGIS之OpenLayers全面解析》

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dalec2

DALEC2 model and 4D-Var assimilation functions.

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PcArcBruTile

在ArcGIS中快速加载网络地图

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TensorFlow-Examples

TensorFlow tutorials and code examples for beginners

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datatools

Automatically exported from code.google.com/p/datatools

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FinalProject_CarFar

FInal project for Geoscripting course GRS__33806_2015_3with the name ¨Crop type mapping using temporal dynamics¨

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