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yangxhcaf's Projects

tutorials-2 icon tutorials-2

Tutorials on remote sensing image processing with Python

u_net icon u_net

u net (remote sensing image segmentation)

uav-snowdepth icon uav-snowdepth

Quantifying the ability of UAV lidar and structure from motion products to observe sub-canopy snowdepth

uavimg icon uavimg

R package for pre-processing UAV images

uavrst icon uavrst

UAV related Remote Sensing Toolbox

unmixing icon unmixing

Interactive tools for spectral mixture analysis of multispectral raster data

urban_tdf icon urban_tdf

Using EVA on urban temperature/precipitation data to learn more about the UHI

urbanphenology icon urbanphenology

Urban vegetation and income segregation in drylands: A synthesis of seven metropolitan regions in the southwestern United States

urine-patches-detection icon urine-patches-detection

Identifying Urine Patches on Intensively Managed Grassland Using Aerial Imagery Captured From Remotely Piloted Aircraft Systems

ursa icon ursa

Non-Interactive GIS Tools for Raster Processing and Visualization

v2rayl icon v2rayl

v2ray linux GUI客户端,支持订阅、vemss、ss等协议,自动更新订阅、检查版本更新

vasculars_americas icon vasculars_americas

Set of R functions and scripts to analyze patterns of vascular plants across the Americas

vegcommunity icon vegcommunity

Calculate basic plant community structural and diversity attributes

vegmonitor icon vegmonitor

R-based scripts to process remote-sensing data using a supervised machine-learning algorithm known as the Random Forests algorithm. This is used to classify vegetation and later to conduct a change detection process to identify sub-regions undergoing vegetation loss.

visreg icon visreg

Visualization of regression functions

vltimeseriescausality icon vltimeseriescausality

A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.

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