This unit provides an introduction to dimensionality reduction methods related to hyperspectral data or imaging spectroscopy. First, feature engineering methods using selected parametric and nonparametric regression methods are presented. Second, feature selection or extraction, using filter, wrapper and embedded methods will be discussed. Finally, some alternative methods are presented.
Methods
Land Cover Classification
This is an introduction into the classification of land cover and land use from Earth observation data. The presentation includes:
- Land Use / Land Cover
- EO Image classification
- Land Cover Classification Systems
- Accuracy Assessment
The material is valid for all fields of Earth observation, not only Radar remote sensing.
Procesamiento y análisis de datos de SAR
Esta presentación es parte de una serie de cuatro tomos sobre los conceptos básicos del Radar de Apertura Sintética.
Al finalizar esta presentación los participantes podrán:
- Entender los parámetros fÃsicos de las imágenes SAR
- Describir la interacción de la señal de SAR con la superficie terrestre
- Describir los pasos necesarios para pre procesar las imágenes
- Entender la información que se puede extraer de las imágenes SAR
Erica Podest
NASA/Jet Propulsion Laboratory
Dr. Erika Podest is a scientist with the Carbon Cycle and Ecosystems Group at NASA’s Jet Propulsion Laboratory. Her research focuses on using Earth observing satellites, particularly microwave sensors, for characterizing and monitoring wetland ecosystems and seasonal freeze/thaw dynamics in the northern high latitudes as related to the global carbon and water cycles and climate change. She is working on the Soil Moisture Active Passive (SMAP) mission, a NASA Earth observing satellite that launched on Jan. 31 2015, which is improving our understanding of Earth’s water and carbon cycles and our ability to manage water resources. (Source: NASA ARSET)
Introduction to Polarimetric SAR
This presentation is part of a four-part series on the basics on Synthetic Aperture Radar.
Learning Objectives: Brief introduction to polarimetry and familiarize students with
- Mathematical representation
- Data format
- Data processing for land cover mapping
Erica Podest
NASA/Jet Propulsion Laboratory
Dr. Erika Podest is a scientist with the Carbon Cycle and Ecosystems Group at NASA’s Jet Propulsion Laboratory. Her research focuses on using Earth observing satellites, particularly microwave sensors, for characterizing and monitoring wetland ecosystems and seasonal freeze/thaw dynamics in the northern high latitudes as related to the global carbon and water cycles and climate change. She is working on the Soil Moisture Active Passive (SMAP) mission, a NASA Earth observing satellite that launched on Jan. 31 2015, which is improving our understanding of Earth’s water and carbon cycles and our ability to manage water resources. (Source: NASA ARSET)
Introducción SAR polarimétrico
Esta presentación es parte de una serie de cuatro tomos sobre los conceptos básicos del Radar de Apertura Sintética.
El objetivo es darles una introducción básica sobre la polarimetrÃa y familiarizarlos con
- Expresiones matemáticas
- El formato de los datos
- El procesamiento de los datos para crear mapas de cobertura terrestre
Erica Podest
NASA/Jet Propulsion Laboratory
Dr. Erika Podest is a scientist with the Carbon Cycle and Ecosystems Group at NASA’s Jet Propulsion Laboratory. Her research focuses on using Earth observing satellites, particularly microwave sensors, for characterizing and monitoring wetland ecosystems and seasonal freeze/thaw dynamics in the northern high latitudes as related to the global carbon and water cycles and climate change. She is working on the Soil Moisture Active Passive (SMAP) mission, a NASA Earth observing satellite that launched on Jan. 31 2015, which is improving our understanding of Earth’s water and carbon cycles and our ability to manage water resources. (Source: NASA ARSET)
Introduction to SAR Interferometry
This presentation is part of a four-part series on the basics on Synthetic Aperture Radar.
Learning Objectives: Brief introduction to polarimetry and familiarize students with
- Understand the basic physics of SAR interferometry
- Describe what SAR interferometric phase tells about the land surface
- Describe the necessary data preprocessing
- Understand the information content in SAR interferometric images
Erica Podest
NASA/Jet Propulsion Laboratory
Dr. Erika Podest is a scientist with the Carbon Cycle and Ecosystems Group at NASA’s Jet Propulsion Laboratory. Her research focuses on using Earth observing satellites, particularly microwave sensors, for characterizing and monitoring wetland ecosystems and seasonal freeze/thaw dynamics in the northern high latitudes as related to the global carbon and water cycles and climate change. She is working on the Soil Moisture Active Passive (SMAP) mission, a NASA Earth observing satellite that launched on Jan. 31 2015, which is improving our understanding of Earth’s water and carbon cycles and our ability to manage water resources. (Source: NASA ARSET)
Introducción a SAR interferométrico
Esta presentación es parte de una serie de cuatro tomos sobre los conceptos básicos del Radar de Apertura Sintética.
Al finalizar esta presentación los participantes podrán:
- Entender la fÃsica básica de la interferometrÃa SAR
- Describir lo que la fáse interferométrica SAR nos dice acerca de la superficie terrestre
- Describir el preprocesamiento de datos necesario
- Entender el contenido informático en las imágenes SAR interferométricas
Erica Podest
NASA/Jet Propulsion Laboratory
Dr. Erika Podest is a scientist with the Carbon Cycle and Ecosystems Group at NASA’s Jet Propulsion Laboratory. Her research focuses on using Earth observing satellites, particularly microwave sensors, for characterizing and monitoring wetland ecosystems and seasonal freeze/thaw dynamics in the northern high latitudes as related to the global carbon and water cycles and climate change. She is working on the Soil Moisture Active Passive (SMAP) mission, a NASA Earth observing satellite that launched on Jan. 31 2015, which is improving our understanding of Earth’s water and carbon cycles and our ability to manage water resources. (Source: NASA ARSET)
SAR Processing and Data Analysis
This presentation is part of a four-part series on the basics on Synthetic Aperture Radar.
Learning Objectives:
- Understand Sentinel Data
- Perform image preprocessing
- Analyze SAR imagery to classify land and water
Erica Podest
NASA/Jet Propulsion Laboratory
Dr. Erika Podest is a scientist with the Carbon Cycle and Ecosystems Group at NASA’s Jet Propulsion Laboratory. Her research focuses on using Earth observing satellites, particularly microwave sensors, for characterizing and monitoring wetland ecosystems and seasonal freeze/thaw dynamics in the northern high latitudes as related to the global carbon and water cycles and climate change. She is working on the Soil Moisture Active Passive (SMAP) mission, a NASA Earth observing satellite that launched on Jan. 31 2015, which is improving our understanding of Earth’s water and carbon cycles and our ability to manage water resources. (Source: NASA ARSET)
SAR Handbook
The SAR Handbook: Comprehensive Methodologies for Forest Monitoring and Biomass Estimation is the culmination of a two-year collaboration between NASA SERVIR and SilvaCarbon. Five trainings, led by six SAR subject matter experts, were held at hubs throughout the SERVIR network. The topics of these trainings included SAR basics, SAR for forest change detection, forest height estimation, biomass estimation, mangrove monitoring, and sampling design. Each of these training topics are covered in a SAR Handbook chapter, which includes the theoretical basics and applied exercises. You can download the entire SAR Handbook (PDF) below.
SNAP – First Steps
What is SNAP?
ESA’s Sentinel Application Platform (SNAP) is a set of toolboxes, developed for the processing and analysis of Earth observation data.
This software is free to use and open source.
The following video tutorial gives you an introduction into the usage of the Sentinel-1 toolbox.
Download SNAP
You can either download SNAP from the Link above or use the direct links for your operating system below.
Ready? Let's go!
You can download the tutorial data directly here:
This is a direct link to download the data from the Copernicus Scihub (log in required).