📑Bookmarks on learning Remote Sensing, R/Python, ML/DL and related topics:

These are the resources I have gone through (or tried going through) and found very helpful in learning. The main focus is to gather resources of agriculture remote sensing (crops, vegetation, soil), precision agriculture and advanced topics of that domain. Resources free, and easily available will only be listed.

The resources will be updated time to time as I discover any resources.

notations:

• YT: YouTube video link / 'playlist'

• Github: Github Repo link

• ART: research / review articles; THE: thesis

• B: books, PRE: presentation

• SITE: websites / blogs / training page / moocs /

• FUN: interactive websites / online games / for learning

• Github: D-Lab · GitHub (contains different repos.)

• YT: 'channel' Geo-Python - YouTube

• B: i. https://rspatial.org/raster/index.html; ii. https://r-spatial.org/book/01-hello.html

• SITE: https://www.earthdatascience.org/courses/ (great modules in learning basics)

• FUN: https://tidydatatutor.com, https://pandastutor.com (visualizing the code)

• SITE/TUTORIAL: https://ourcodingclub.github.io/tutorials.html [ online weekly workshops in R and related areas ]

• B:

  • Remote Sensing Tutorials (nrcan.gc.ca)

  • REMOTE SENSING TUTORIAL (grss-ieee.org)

  • https://landscape.satsummit.io Satellites in Global Development

• SITE: 'course' eo-college.org (all the awesome courses)

• SITE: 'GEOG160' https://www.e-education.psu.edu/geog160/node/1405

• SITE: https://step.esa.int/main/doc/tutorials/ (tutorial for SentiNel Application Program or SNAP toolbox)

• YT

  • 'playlist' Remote Sensing and GIS (course from NPTEL IIT)

  • 'channel' RUS Copernicus Training - YouTube

• YT: Introduction to Remote Sensing with Python [GitHub - yohman/workshop-remote-sensing] - talks with GEE in python

• YT: 'playlist' for learning remote sensing with drones

  • DroneCamp 2022 - YouTube

  • DroneCamp 2020 - YouTube

• ART: Remote Sensing of Cropland Agriculture (core.ac.uk)

• YT: 'playlist' agriculture-remote-sensing - YouTube (contains live webinar from Indian Institute of Remote Sensing and helpful videos)

• B: Handbook on remote sensing for agricultural statistics

• SITE:

  • ARSET - Creating and Using Normalized Difference Vegetation Index (NDVI) from Satellite Imagery | NASA Applied Sciences

  • ARSET - Understanding Phenology with Remote Sensing | NASA Applied Sciences

  • ARSET - Satellite Remote Sensing for Agricultural Applications | NASA Applied Sciences

  • ARSET - Agricultural Crop Classification with Synthetic Aperture Radar and Optical Remote Sensing | NASA Applied Sciences

  • ARSET - Mapping Crops and their Biophysical Characteristics with Polarimetric SAR and Optical Remote Sensing | NASA Applied Sciences

  • ARSET - Use of Solar Induced Fluorescence and LIDAR to Assess Vegetation Change and Vulnerability | NASA Applied Sciences

  • ARSET - Applications of Remote Sensing to Soil Moisture and Evapotranspiration | NASA Applied Sciences

  • 9th ESA Advanced Training Course on Land Remote Sensing 2019 (focus on Agriculture) - eo science for society

  • 12th ESA Training Course on Earth Observation 2022 - eo science for society

  • ARSET - Crop Mapping using Synthetic Aperture Radar (SAR) and Optical Remote Sensing (April 4, 2023 - April 11, 2023)

• SITE: DIGITAL AGRICULTURE https://onfarmresearch.unl.edu/resources

• SITE: FAO Webinar Series: Earth observation data for agricultural statistics (8 March to 10 May 2023)

• FUN: GUIDE: FUNDAMENTALS OF SYNTHETIC APERTURE RADAR (SAR)

• SITE: https://asf.alaska.edu (everything in this site is for us to master SAR)

• SITE: https://learnsar.open.uaf.edu/sar-resources/ (links to resources)

• ART:

  • Research advances of SAR remote sensing for agriculture applications: A review - ScienceDirect

  • Remote Sensing | Special Issue : Recent Advances and Contribution of Synthetic Aperture Radar (SAR) Applications for Agricultural Monitoring (mdpi.com)

  • Remote Sensing | Special Issue : Radar Remote Sensing for Agriculture (mdpi.com)

  • Research advances of SAR remote sensing for agriculture applications: A review - ScienceDirect

• B:

  • SAR-Guidebook

  • NASA-ISRO SAR (NISAR) Mission Science Users' Handbook

  • ASAR-Product-Handbook.pdf (esa.int)

  • Laymans_SAR_Interpretation_Guide_2.0 (ceos.org)

• PRE:

  • SAR FOR AGRICULTURE- Research and Development at AAFC

• SITE

  • 6th ESA Advanced Course on Radar Polarimetry 2021 - eo science for society

  • ARSET - Hyperspectral Data for Land and Coastal Systems | NASA Applied Sciences

  • ARSET - Introduction to Synthetic Aperture Radar | NASA Applied Sciences

  • ARSET - Radar Remote Sensing for Land, Water, & Disaster Applications | NASA Applied Sciences

  • ARSET - SAR for Disasters and Hydrological Applications | NASA Applied Sciences

  • ARSET - SAR for Landcover Applications | NASA Applied Sciences

  • ARSET - Disaster Assessment Using Synthetic Aperture Radar | NASA Applied Sciences [2022] ~ demonstration of earth engine

    • PRE: First part of the training: more learning resource at the end

• SITE:

  • ARSET - Land Cover Classification with Satellite Imagery | NASA Applied Sciences

  • ARSET - Investigating Time Series of Satellite Imagery | NASA Applied Sciences

  • ARSET - Accuracy Assessment of a Land Cover Classification | NASA Applied Sciences

~ mostly with satellite imagery and topics of personal interests (preferences towards vegetation and crops)

• SITE: https://blogs.fu-berlin.de/reseda/machine-learning-basics/#1 (machine learning basics)

• B: https://e-sensing.github.io/sitsbook/ Data Analysis and Machine Learning on Earth Observation Data Cubes with Satellite Image Time Series

• YT: Deep Learning for Remote Sensing images with R language [GitHub - ricds/DL_RS_GEE]

• YT: Christian Knoth - Introduction to Deep Learning in R for analysis of UAV-based remote sensing data [GitHub - DaChro/ogh_summer_school_2020"]

• SITE: Basics of Neural Networks --- Basics of Neural Networks documentation (mltraining.readthedocs.io)

• SITE: ARSET - Fundamentals of Machine Learning for Earth Science

  ml/dl concepts

• FUN: mlu-explain.github.io (machine learning blog with interacitivity)

• FUN: https://playground.tensorflow.org (we see the magic there)

• SITE: https://developers.google.com/machine-learning/foundational-courses, advanced-courses

• B:

  • https://www.eefabook.org (the only book we will need to learn GEE)

  • https://www.remotesensing.dev/docs/A01-Attribution (contains 5 LABS - GEE)

  • Introductory course to Google Earth Engine: [ https://doi.org/10.4060/cb9049en ]

• SITE: https://developers.google.com/earth-engine/guides; https://developers.google.com/earth-engine/tutorials (the most important and best ones among all)

• SITE: https://spatialthoughts.com/learning-paths/ (also for python and QGIS)

• SITE: 'course' ARSET - Using Google Earth Engine for Land Monitoring Applications | NASA Applied Sciences

• YT 'channel' GEARS - Geospatial Ecology and Remote Sensing

• SITE: https://calekochenour.github.io/remote-sensing-textbook/introduction.html

• SITE:

  • https://ecology.colostate.edu/google-earth-engine/

  • https://ckan.americaview.org/group/video-tutorials

• SITE: Home - 2022 Geo for Good Summit (earthoutreachonair.withgoogle.com)

• GitHub - robmarkcole/satellite-image-deep-learning: Deep learning with satellite & aerial imagery

• GitHub - giswqs/Awesome-GEE: A curated list of Google Earth Engine resources