All Learning Resources

  • Teledetección de Ecosistemas Costeros

    Los ecosistemas marinos y costeros tienen roles vitales en el almacenamiento de carbono, reciclaje de nutrientes y otros materiales, al igual que sirven de reservorios de biodiversidad. Además, proveen servicios ecosistémicos tales como comida para millones de personas, protección costera contra el oleaje, y actividades recreativas. La teledetección de los ecosistemas costeros y marinos es particularmente difícil. Hasta el 80% de la señal recibida por los sensores en órbita proviene de la atmósfera. Además, los componentes de la columna de agua (disueltos y suspendidos) atenúan la mayor parte de la luz mediante absorción o dispersión. Cuando se trata de recuperar información del fondo del océano, incluso en las aguas más claras, solo menos del 10% de la señal proviene de el fondo marino. Los usuarios, particularmente aquellos con poca experiencia en teledetección, pueden beneficiarse de esta capacitación que cubre algunas de las dificultades asociadas con la teledetección de ecosistemas costeros, particularmente playas y comunidades bentónicas tales como arrecifes de coral y yerbas marinas.

    final de esta capacitación, los asistentes podrán:

    • Identificar los diferentes componentes de la columna de agua y cómo afectan la señal de teledetección remota de los ecosistemas de aguas poco profundas.
    • Describir los sensores satelitales existentes utilizados para analizar el color del océano y en la caracterización de ecosistemas de aguas poco profundas.
    • Comprender la interacción entre los componentes del agua, el espectro electromagnético y la señal de detección remota.
    • Reconocer los diferentes procesos utilizados para eliminar la atenuación de la columna de agua de la señal de teledetección remota para caracterizar los componentes bentónicos.
    • Resumir las técnicas para caracterizar los entornos de playas costeras con datos de teledetección remota y métodos de campo para el perfil de playas.


    • Tres sesiones de una hora cada una con presentaciones en inglés y español
    • Una tarea a someter usando Google Forms 
    • English

    Parte Uno: Una Mirada a los Ecosistemas Costeros y la Teledetección

    • Introducción a ecosistemas costeros 
    • Un resumen de los sensores más utilizados para la teledetección de áreas costeras 
    • Preguntas y Respuestas

    Parte Dos: Penetración de la Luz en la Columna de Agua

    • Propiedades Aparentes e Inherentes 
    • Medidas de Campo Bio-ópticas 
    • Correcciones de la Columna de Agua 
    • Derivación de Batimetría y Caracterización Béntica Usando Datos Multiespectrales 
    • Calibración y Validación de Datos de Color del Océano 
    • Preguntas y Respuestas

    Parte Tres: Teledetección de Componentes de la Línea de Costa

    • Componentes Geofísicos de la Línea de Costa
    • Las Partes de una Playa
    • Medidas de Campo en la Línea de Costa Necesarias para Validar Imágenes
    • Procesamiento y Análisis de Imágenes para la Caracterización de la Línea de Costa
    • Preguntas y Respuestas


    • Ver Grabación
    • Diapositivas de la Presentación
    • Tarea 
    • Transcripción de Preguntas y Respuestas

  • Remote Sensing of Coastal Ecosystems [Introductory]

    Coastal and marine ecosystems serve key roles for carbon storage, nutrients, and materials cycling, as well as reservoirs of biodiversity. They also provide ecosystem services such as sustenance for millions of people, coastal protection against wave action, and recreational activities. Remote sensing of coastal and marine ecosystems is particularly challenging. Up to 90% of the signal received by the sensors in orbit comes from the atmosphere. Additionally, dissolved and suspended constituents in the water column attenuate most of the light received through absorption or scattering. When it comes to retrieving information about shallow-water ecosystems, even in the clearest waters under the clearest skies, less than 10% of the signal originates from the water and its bottom surface. Users, particularly those with little remote sensing experience, stand to benefit from this training covering some of the difficulties associated with remote sensing of coastal ecosystems, particularly beaches and benthic communities such as coral reefs and seagrass.

    by the end of this training, attendees will be able to:

    • Identify the different water column components and how they affect the remote sensing signal of shallow-water ecosystems
    • Outline existing satellite sensors used for ocean color and shallow-water ecosystem characterization
    • Understand the interaction between water constituents, the electromagnetic spectrum, and the remote sensing signal
    • Recognize the different processes used to remove the water column attenuation from the remotely-sensed signal to characterize benthic components
    • Summarize techniques for characterizing shoreline beach environments with remotely-sensed data and field methods for beach profiling


    • Three one-hour sessions with presentations in English and Spanish
    • One Google Form homework
    • Spanish sessions 


    Part One: Overview of Coastal Ecosystems and Remote Sensing

    • Introduction to coastal and marine ecosystems
    • Overview of sensors for remote sensing of coastal areas
    • Q&A

    Part Two: Penetration of Light in the Water Column

    • Apparent and inherent optical properties 
    • Field bio-optical measurements 
    • Water column corrections 
    • Deriving bathymetry and benthic characterization from multispectral data 
    • Validation and calibration of ocean color data 
    • Q&A

    Part Three: Remote Sensing of Shorelines

    • Geophysical components of shorelines 
    • The parts of a beach 
    • Field-based measurements in shorelines for image validation 
    • Image processing and analysis for shoreline characterization 
    • Q&A

    Each part of 3 includes links to the recordings, presentation slides,  and Question & Answer Transcripts. 

  • Fundamentals of Remote Sensing [Introductory]

    These webinars are available for viewing at any time. They provide basic information about the fundamentals of remote sensing and are often a prerequisite for other ARSET training.

    Participants will become familiar with satellite orbits, types, resolutions, sensors, and processing levels. In addition to a conceptual understanding of remote sensing, attendees will also be able to articulate their advantages and disadvantages. Participants will also have a basic understanding of NASA satellites, sensors, data, tools, portals, and applications to environmental monitoring and management.

    Session 1: Fundamentals of Remote Sensing
    A general overview of remote sensing and its application to disasters, health & air quality, land, water resource, and wildfire management.
    Session 1A: NASA's Earth Observing Fleet
    Get familiar with Earth-observing satellites in NASA's fleet, sensors that collect data you can use in ARSET training, and potential applications. 
    Session 2A: Satellites, Sensors, Data and Tools for Land Management and Wildfire Applications
    Specific satellites, sensors, and resources for remote sensing in land management and wildfires. This includes land cover mapping and products, fire detection products, detecting land cover change, and NDVI and EVI. 
    Session 2B: Satellites, Sensors, and Earth Systems Models for Water Resources Management
    Water resources management, an overview of relevant satellites and sensors, an overview of relevant Earth system models, and data and tools for water resources management. 
    Session 2C: Fundamentals of Aquatic Remote Sensing
    Overview of relevant satellites and sensors, and data and tools for aquatic environmental management. 

  • Dendro Open-Source Dropbox

    Dendro is a collaborative file storage and description platform designed to support users in collecting and describing data, with its roots in research data management. It does not intend to replace existing research data repositories, because it is placed before the moment of deposit in a data repository.  The DENDRO platform is an open-source platform designed to help researchers describe their datasets, fully build on Linked Open Data. Whenever researchers want to publish a dataset, they can export to repositories such as CKAN, DSpace, Invenio, or EUDAT's B2SHARE. 

    It is designed to support the work of research groups with collaborative features such as:

    File metadata versioning
    Permissions management
    Editing and rollback
    Public/Private/Metadata Only project visibility

    You start by creating a “Project”, which is like a Dropbox shared folder. Projects can be private (completely invisible to non-colaborators), metadata-only (only metadata is visible but data is not), and public (everyone can read both data and metadata). Project members can then upload files and folders and describe those resources using domain-specific and generic metadata, so it can suit a broad spectrum of data description needs. The contents of some files that contain data (Excel, CSV, for example) is automatically extracted, as well as text from others (PDF, Word, TXT, etc) to assist discovery.

    Dendro provides a flexible data description framework built on Linked Open Data at the core (triple store as), scalable file storage for handling big files, BagIt-represented backups, authentication with ORCID and sharing to practically any repository platform.

    Further information about Dendro can be found on its Github repository at:  Documentation and descriptions of Dendro can be found in other languages from the primary URL home page.