NASA ARSET Part 2-Training Data and Land Cover Classification | Fundamentals of Machine Learning

NASA´s Applied Remote Sensing Training (ARSET): PART 2 
Fundamentals of Machine Learning for Earth Science | Training Data and Land Cover Classification Example, Part 2/3 | 2023
TIMELINE down below!

Trainers: Jordan A. Caraballo-Vega, Caleb Spradlin, Jian Li, Jules Kouatchou
Training Data and Land Cover Classification Example, Part 2/3
-Download the training data
-Exploratory data analysis 
-Extracting training data from tabular dataset 
-Extracting training data from raster dataset 
-Training and inference of tabular and raster dataset 
-Metrics and model evaluation
-Hands on Jupyter Notebook Exercise: MODIS (Moderate Resolution Imaging Spectroradiometer) Water Classification Case Study
-Post-session assignment  
-Q&A Session

Coordinator: Brock Blevins:
0:00 Introduction Part 2/3: Fundamentals of Machine Learning for Earth Science
0:27 Training Objectives
1:00 Prerequisites Part 1: Google Drive & Google Colab
1:34 Training Schedule Part 2

Trainer Jordan A. Caraballo-Vega
1:59 Start Part 2 Training Data and Land Cover Classification Example
2:34 Session 2 Outline
3:25 Training Objectives

Trainer Jian Li
3:55 Overview of the Instrument and Data
4:20 MODIS (Moderate Resolution Imaging Spectroradiometer) 
5:24 Application of MODIS Land Products: MODIS Water Classification Workflow
7:46 Access MODIs DATA
8:26 NASA Earthdata Search

Trainer Caleb S. Spradin
10:12 Exploratory Data Analysis (EDA)
20:17 Exercise: Exploratory Data Analysis (EDA) in Google Colab

Trainer Jules Kouatchou
34:25 Exercise: Training and Testing of Random Forest Model in Google Colab

Trainer Jordan A. Caraballo-Vega
46:00 Model evaluation

57:40 Summary
-Download the training data
-Exploratory data analysis 
-Extracting training data from tabular dataset 
-Extracting training data from raster dataset 
-Training and inference of tabular and raster dataset 
-Metrics and model evaluation
-Hands on Jupyter Notebook Exercise: MODIS (Moderate Resolution Imaging Spectroradiometer) Water Classification Case Study
58:10 Looking Ahead Part 3: Training data and Land Cover Classification Example
58:40 Trainer Contacts 

59:12 Questions? - Q&A Session - Questions & Answers Part 2

This training was created by NASA's Applied Remote Sensing Training Program (ARSET).
ARSET is a part of NASA's Applied Science's Capacity Building Program.

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