HuangDuan's repositories
python_basics_for_gis
Python在GIS中的应用实例，内容比较基础。
STSG_IDL_program
STSG_v1 IDL codes for the reconstruction of NDVI time-series data
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.
dask-rasterio
Read and write rasters in parallel using Rasterio and Dask
datacube-core
Open Data Cube analyses continental scale Earth Observation data through time
earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
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.
gdal_calc_numpy
Function to help calculating Numpy mean from a list of raster images
gdal_retile_multi
run multiple gdal_retile processes simultaneously on one (usually large) raster dataset . See WIKI for a visual and explanation.
heading-date-estimation
Implementation of "Automatic Estimation of Heading Date of Paddy Rice using Deep Learning"
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.
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.
LS8-OLI-MAPPING
Mapping of rice growth phases and bare land using Landsat-8 OLI and machine learning algorithms
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).
natural-cubic-smoothing-splines
Cubic smoothing splines with natural boundary conditions and automated choice of the smoothing parameter
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/
rice_sentinel1
classify rice from sentinel 1 data
SCMA
A Spatially Constrained Multi-Autoencoder Approach for Multivariate Geochemical Anomaly Recognition
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".
spyder
Official repository for Spyder - The Scientific Python Development Environment