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dl-for-satellite-image-analysis

This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).

dl-semantic-segmentation

Deep-learning applied to semantic segmentation of remote sensing data

dl-time-series

Deep Learning algorithms applied to characterization of Remote Sensing time-series

dl_modis

Test based on the code of: Rußwurm M., Körner M. (2017). Temporal Vegetation Modelling using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-Spectral Satellite Images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017.

dongbeicrops

Crop Type Identification using deep learning

dstl-satellite-imagery-feature-detection

Semantic segmentation of different classes in satellite imagery.

dtwsat

Time-Weighted Dynamic Time Warping for satellite image time series analysis

earthengine-py-examples

A collection of 300+ examples for using Earth Engine and the geemap Python package

earthengine-py-notebooks

A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

earthengine_scripts

scripts and snippets for Google Earth Engine

earthenginemastergis

Conviertete en un especialista en Google Earth Engine

ee-appshot

ee snapshot codes

ee-dynamic-time-warping

ee-tensorflow-ts

python notebooks for tensorflow time-series analysis with google earth engine

ee_ipl_uv

Multitemporal Cloud Masking in the Google Earth Engine

egu21-rrp-landcover-lstm

ethiopia-cropland-mapping

exerpracticoml_geodatin

este repositorio segue um routeiro de analises de dados satelitais e classificação utilizando python e Google Earth Engine

extract_values_to_points

Extraction of values in raster(s) to points from a point shapefile using python (GDAL)

fcn_convlstm_crop_recognition_generalized

fcn_convlstm_crop_recognition_open_set

uses the 32x32 implementation

field-data-collection

fieldrnn

Temporal Vegetation Classification with Recurrent Neural Networks

flutter_maps

A Flutter app using Google Maps SDK, Directions API

flutterbase-taxi

forecasting-sar-for-crop-recognition-fully-convolutional-rnn

fully-convolutional-recurrent-networks-for-crop-recognition

Fully convolutional recurrent networks for crop recognition

game-of-thrones-sentiment-analysis-using-pyspark

Game Of Thrones Sentiment Analysis using PySpark

gcforest

Python implementation of deep forest method : gcForest

gdal2mbtiles

multiprocess combination of gdal2tiles.py and mbutil.py in order to write tiles directly into Mbtiles dbase