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Kumpulan Tutorial Inderaja dan SIG

Berikut ini adalah daftar tutorial yang saya susun (dan atau bersama-sama dengan tim):

Inderaja

  • Inderaja untuk Pemula (dalam persiapan)

Sistem Informasi Geografis

Aplikasi

Video Tutorial

Firman Hadi's Projects

mapsf icon mapsf

Thematic cartography with R

mergin icon mergin

Store and track changes to your geo-data

ms-environ-res-lett-2020 icon ms-environ-res-lett-2020

Materials for 2020 Myanmar mangrove cover change analysis paper (De Alban et al. 2020. Environmental Research Letters).

ms-remote-sens-2018 icon ms-remote-sens-2018

Materials for 2018 Tanintharyi land cover change analysis paper (De Alban et al. 2018. Remote Sensing).

no-floors-inference-nl icon no-floors-inference-nl

MSc Graduation Thesis: Inferring the number of floors of building footprints in the Netherlands

online-python-course icon online-python-course

Activities for teaching Python online, taken from my IDCE 302 course at Clark University

opengeohub_2020 icon opengeohub_2020

Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020

openmapflow icon openmapflow

Rapid map creation with machine learning and earth observation data.

otbtf icon otbtf

Deep learning with otb (mirror of https://gitlab.irstea.fr/remi.cresson/otbtf)

pan_ocr icon pan_ocr

Building OCR using YOLO and Tesseract

pelletieretalpnas icon pelletieretalpnas

This contains the Supplementary Material and Datasets of the article Pelletier et al. "Predicting plant conservation priorities on a global scale"

pitch_fahutan-untan icon pitch_fahutan-untan

The presentation can be accessed live at https://gitpitch.com/firmanhadi/pitch_fahutan-untan

prettymaps icon prettymaps

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

pygpsclient icon pygpsclient

Python Graphical GPS Client Application supporting NMEA and UBX Protocols

pythonnumericaldemos icon pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

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