gabrielagustin

ANN-MLP-Scikit-learn

Artificial Neural Network - Multi-Layer Perceptron

Comparing-images

Structural similarity index (SSIM) and mean squared error (MSE)

CSV-SHP-Pandas

.CSV files read, load as Pandas object and plot

Dask-test

Use examples

Extract-points

Extraction of points from satellite data using KML files

Floods-monitoring

Floods monitoring with SAR satellite data

Multiple-linear-regression

Linear regression analysis using two or more independent variables

Scaling

Resampling satellite images using Wavelets and PCA

Soil-Moisture-and-Evapotranspirations-Maps

Generating Soil Moisture (SM) or Evapotranspiration (ET) maps from satellite images

Taylor-Diagram

Mathematical diagrams to indicate which of several models is most realistic.

gabrielagustin/Floods-monitoring

Floods monitoring with SAR satellite data

gabrielagustin/Soil-Moisture-and-Evapotranspirations-Maps

Generating Soil Moisture (SM) or Evapotranspiration (ET) maps from satellite images

gabrielagustin/Scaling

Resampling satellite images using Wavelets and PCA

gabrielagustin/ANN-MLP-Scikit-learn

Artificial Neural Network - Multi-Layer Perceptron

gabrielagustin/Taylor-Diagram

Mathematical diagrams to indicate which of several models is most realistic.

gabrielagustin/Extract-points

Extraction of points from satellite data using KML files

gabrielagustin/Multiple-linear-regression

Linear regression analysis using two or more independent variables

gabrielagustin/Comparing-images

Structural similarity index (SSIM) and mean squared error (MSE)

gabrielagustin/CSV-SHP-Pandas

.CSV files read, load as Pandas object and plot

gabrielagustin/Dask-test

Use examples

gabrielagustin/Desarrollo-Tesis-Doctoral

Estimación de la humedad de suelo

gabrielagustin/Dryness-Indexes-Maps

Generates dryness Indexes Maps using SMAP images

gabrielagustin/gabrielagustin

gabrielagustin/Image-Segmentation-using-Region-Growing

Image Segmentation using Region growing

gabrielagustin/Keras-Test

Deep Learning examples using Keras

gabrielagustin/Land-Cover-Classification-using-Sentinel-2-Dataset

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

gabrielagustin/MARS-using-py-earth

Multivariate Adaptive Regression Splines using py-earth

gabrielagustin/Plotly-Folium-test

gabrielagustin/Rasterio-Fiona

Examples

gabrielagustin/Satellite-Data-Plot

Samples satellite data graphics using Geopandas and Basemap

gabrielagustin/Semantic-segmentation

Land use and land cover classification

gabrielagustin/Sentinel-5P

Sentinel5P_Python

gabrielagustin/Test-Snappy-Python-module

gabrielagustin/titi

GUI Satellite image viewer