Pinned Repositories
A-Fast-3D-CNN-for-HSIC
The following demo is associated with the following paper "A Fast 3D CNN for Hyperspectral Image Classification".
An-unexpectedly-large-count-of-trees-in-the-western-Sahara-and-Sahel
This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".
Biomass-DL
Applying point cloud deep learning to estimate tree aboveground biomass.
boruta_py
Python implementations of the Boruta all-relevant feature selection method.
canopyLazR
R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds
ChatGPT
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Data_fusion_HSI_LiDAR
HSI and LiDAR image fusion based on Deep Learning
Image_Processing_and_Deep_Learning
Mathematical-Optimization
Combinatorial Optimization with Genetic Algorithm (GA), Simulated Annealing (SA), Tabu Search (TS), and a hybrid of these algorithms
Spatial-Aanalysis
wanwanliang's Repositories
wanwanliang/Image_Processing_and_Deep_Learning
wanwanliang/Spatial-Aanalysis
wanwanliang/An-unexpectedly-large-count-of-trees-in-the-western-Sahara-and-Sahel
This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".
wanwanliang/Biomass-DL
Applying point cloud deep learning to estimate tree aboveground biomass.
wanwanliang/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
wanwanliang/canopyLazR
R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds
wanwanliang/ChatGPT
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
wanwanliang/DLpipeline
Practical Deep Learning for Genomic Prediction: A Keras based guide to implement deep learning
wanwanliang/EEwPython
A series of Jupyter notebook to learn Google Earth Engine with Python
wanwanliang/DPCR-AGB
This is the repository for the 'Remote Sensing of Environment' article: Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
wanwanliang/GPtour
Quick, straight to the point tour on how to implement genomic prediction (GP) in R
wanwanliang/icepyx
Python tools for obtaining and working with ICESat-2 data
wanwanliang/IntroToR
Material for the Intro To R Class
wanwanliang/lidRbook
The lidR package tutorials book :book:
wanwanliang/lidRmetrics
Additional point cloud metrics to use with *_metric functions in lidR
wanwanliang/machine-learning
wanwanliang/maxar-open-data
The Maxar Open Data STAC Catalog in CSV, GeoJSON, and MosaicJSON formats
wanwanliang/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
wanwanliang/ML_Projects
wanwanliang/pprs_lvis
Tools for the PPRS course on waveform lidar
wanwanliang/pysl4land
Python tools to process spaceborne lidar (GEDI and ICESAT2) for land (pySL4Land) applications
wanwanliang/R_for_Lidar
wanwanliang/rGEDI
rGEDI: An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
wanwanliang/sgsR
wanwanliang/timeseries-clustering-vae
Variational Recurrent Autoencoder for timeseries clustering in pytorch
wanwanliang/trace
working repo for carbonplan's climate trace project
wanwanliang/TreeCountSegHeight
Code for paper
wanwanliang/Visualization
wanwanliang/waveformlidar
waveform LiDAR data processing and analysis
wanwanliang/Web-Scrapping-and-Data-Streaming