huangduan2018
Ph.D. candidate
University of Chinese Academy of SciencesUniversity of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing, P.R.China 100049
Pinned Repositories
AtmosphericCorrection
6s模型大气校正python版本，支持GF1、2,Landsat-8,Sentinel-2等影像
Batch-Interpolation
A QGIS-plugin, which creates a batch process of the QGIS Raster Interpolation (TIN or IDW) and gdal_contour.
cuESTARFM
cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)
cuSTARFM
cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)
cuSTNLFFM
cuSTNLFFM is a GPU-enabled Spatial and Temporal Non-Local Filter-based Fusion Model (STNLFFM)
python_basics_for_gis
Python在GIS中的应用实例，内容比较基础。
rasterio
Rasterio reads and writes geospatial raster datasets
RiceMapping
STSG_IDL_program
STSG_v1 IDL codes for the reconstruction of NDVI time-series data
XArrayAndRasterio
Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio
huangduan2018's Repositories
huangduan2018/python_basics_for_gis
Python在GIS中的应用实例，内容比较基础。
huangduan2018/rasterio
Rasterio reads and writes geospatial raster datasets
huangduan2018/RiceMapping
huangduan2018/STSG_IDL_program
STSG_v1 IDL codes for the reconstruction of NDVI time-series data
huangduan2018/AtmosphericCorrection
6s模型大气校正python版本，支持GF1、2,Landsat-8,Sentinel-2等影像
huangduan2018/Batch-Interpolation
A QGIS-plugin, which creates a batch process of the QGIS Raster Interpolation (TIN or IDW) and gdal_contour.
huangduan2018/cuESTARFM
cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)
huangduan2018/dask-rasterio
Read and write rasters in parallel using Rasterio and Dask
huangduan2018/datacube-core
Open Data Cube analyses continental scale Earth Observation data through time
huangduan2018/earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
huangduan2018/espa-bulk-downloader
huangduan2018/ESRCNN-for-Landsat8-Sentinel2-Fusion
huangduan2018/Fmask
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.
huangduan2018/gdal_calc_numpy
Function to help calculating Numpy mean from a list of raster images
huangduan2018/gdal_retile_multi
run multiple gdal_retile processes simultaneously on one (usually large) raster dataset . See WIKI for a visual and explanation.
huangduan2018/georaster
Geographic Raster functionality for Python using osgeo and GDAL.
huangduan2018/heading-date-estimation
Implementation of "Automatic Estimation of Heading Date of Paddy Rice using Deep Learning"
huangduan2018/Landsat-Classification-Using-Neural-Network
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.
huangduan2018/Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification
LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.
huangduan2018/LS8-OLI-MAPPING
Mapping of rice growth phases and bare land using Landsat-8 OLI and machine learning algorithms
huangduan2018/Mapping-Rice-Extent-Using-Satellite-Images
huangduan2018/Matlab-RasterIO
These functions use gdal to read and write raster data into Matlab (including providing functionality to subset, resize, and reproject the raster files before they are read).
huangduan2018/MFmask
Automated cloud and cloud shadow detection for Landsats 4-8 images
huangduan2018/natural-cubic-smoothing-splines
Cubic smoothing splines with natural boundary conditions and automated choice of the smoothing parameter
huangduan2018/pyRaster2GeoTiff
A piece of Python code to convert rater data such as NetCDF to GeoTIFF format. The code was extracted from my LinkedIn article at https://www.linkedin.com/pulse/convert-netcdf4-file-geotiff-using-python-chonghua-yin/
huangduan2018/rice_sentinel1
classify rice from sentinel 1 data
huangduan2018/SCMA
A Spatially Constrained Multi-Autoencoder Approach for Multivariate Geochemical Anomaly Recognition
huangduan2018/spatiospectral-densenet-rice-classification
Example data and Keras implementation of a deep convolutional neural network described in "Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network".
huangduan2018/spyder
Official repository for Spyder - The Scientific Python Development Environment
huangduan2018/VPM
VPM Model to estimate GPP