HuangDuan's Projects
6s模型大气校正python版本,支持GF1、2,Landsat-8,Sentinel-2等影像
A QGIS-plugin, which creates a batch process of the QGIS Raster Interpolation (TIN or IDW) and gdal_contour.
cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)
cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)
cuSTNLFFM is a GPU-enabled Spatial and Temporal Non-Local Filter-based Fusion Model (STNLFFM)
Read and write rasters in parallel using Rasterio and Dask
Open Data Cube analyses continental scale Earth Observation data through time
DEVELOP National Program Python package for use with NASA data and GIS!
Python and JavaScript bindings for calling the Earth Engine API.
EASE grid latitude-longitude generation
Generate Echarts options with Python.
This series of python and R scripts takes a multiband raster and splits it into separate rasters, converts each new .tif file into an ASCII format. Notes are included in the script for customizing input/output directories and other settings.
Extract values from number of rasters with Python/GDAL
Extraction of values in raster(s) to points from a point shapefile using python (GDAL)
This is a side project from the main PCSE-carbon cycle, where we compare FluxNet observations of the GPP, TER and NEE fluxes to simulated fluxes from PCSE and SiBCASA
The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.
Python code for extracting the pixel value of raster data in .tif files based on lat/long coordinates.
Python code for extracting the pixel value of raster data in .tif files based on lat/long coordinates. Pulling data from the following .tif maps: 1 km MODIS-based Maximum Green Vegetation Fraction and 0.5 km MODIS-based Global Land Cover Climatology.
Function to help calculating Numpy mean from a list of raster images
command line tool to reclassify rasters
run multiple gdal_retile processes simultaneously on one (usually large) raster dataset . See WIKI for a visual and explanation.
Geographic Raster functionality for Python using osgeo and GDAL.
simulation of global GPP using the NCEP reanalysis II considering C3 and C4 difference
This repository is a python implementation of the Harmonic ANalysis of Time Series (HANTS) applied to geographic data. The python module can be used to perform the HANTS analysis to a collection of time-variable raster data at each pixel.
Implementation of "Automatic Estimation of Heading Date of Paddy Rice using Deep Learning"
Net land carbon exchange (NEE) model
All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.
LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.