Firman Hadi's repositories
Drone_Image_Processing_GEE
This repository contains all of the files with Python code and instructions to process drone image JPEGS into TIFF format to facilitate upload into Google Earth Engine. Code and instructions for image classification and accuracy assessment in Google Earth Engine are included. These files are provided as both Jupyter notebooks and PDFs. We have also included three drone images of Heron Reef to use as an example for drone image preprocessing and classification.
CoastSat.slope
Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.
predictive_R
Kode sumber Predictive Analytics R
geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets
SPI
Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)
ms-environ-res-lett-2020
Materials for 2020 Myanmar mangrove cover change analysis paper (De Alban et al. 2020. Environmental Research Letters).
GeostatsPy_Intro_Course
Introduction to spatial data analytics and machine learning with GeostatsPy Python package
Urban-Shrinkage
An Agent-based model which explores urban shrinkage
CovidAnalysis
Data analysis using various ready-to-use COVID-19 databases to derive vital information for deriving socio-economic, cultural, and environmental benefits
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
dl-4-tsc
Deep Learning for Time Series Classification
geopaparazzi
Because not all paparazzis are evil!
rgee
Google Earth Engine for R
LT-GEE
Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:
SIAC
A sensor invariant Atmospheric Correction (SIAC)
qgis-earthengine-examples
A collection of 290+ Python examples for using Google Earth Engine in QGIS
tutorial-satpy-half-day
Jupyter Notebook-based tutorial providing an overview of Satpy's features lasting about 4 hours
Road-Segmentation
Road Detection in satellite imagery.
ML-Playground
A Playground for machine learning techniques
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
training-for-gis-analyses
Training materials for GIS Analyses
bfastspatial
Shiny interface for BFAST spatial
analisis-geospasial-R-QGIS
Analisis Geospasial menggunakan R dan QGIS
hands-on-R-QGIS
Hands-on delivered during the Workshop on Geospatial Analyses with R and QGIS at Faculty of Earth Sciences, Tanjungpura University, 29 October 2019, Pontianak, Indonesia