Introduction to the subject A bit of history and latest developments

Dedication

In this topic, we will study the interaction of electromagnetic waves with the Earth's surface and their spectral response in different parts of the electromagnetic spectrum.

Specific Objectives

The electromagnetic spectrum: terms and units of measurement. Characteristics of energy radiation in the optical spectrum. Characteristics of energy radiation in the thermal infrared spectrum. The microwave region

Related Activities

LAB1: Visualization and interpretation of satellite images. Tools of work

Dedication

In this section, Earth observation satellites and sensors will be discussed, highlighting the main distinctions according to the type of sensor (passive or active) that generates the image, as well as the characteristics of these images. The Earth observation programs, especially the Copernicus program, will also be covered.

Specific Objectives

Types of sensors: active and passive. Types of resolution: spatial, spectral, radiometric, and temporal. Satellite characteristics: orbits and swaths. Landsat Program. Copernicus Program. Commercial satellites with high spatial resolution. Earth observation satellites and sensors meteorological, maritime, and other types of sensors.

Related Activities

LAB1: Visualization and interpretation of satellite images. Tools of work

Dedication

In this topic, the image analysis techniques, which are key to conducting any analysis, will be examined more closely. Data analysis has changed significantly in recent decades, and the number of options to choose from, when it comes to analyzing remote sensing images, provides a wide variety of tools for every purpose. The most common techniques as well as the newest ones have been selected.

Specific Objectives

Spectral index: Vegetation Indexes, water and burned area with images inside the optician. Ice and snow spectral indices Concept of supervised and unsupervised classification. Unsupervised classification type. Type of supervised classification. Unsupervised classification Supervised classification

Related Activities

LAB 2A: Vegetation, Water, and Burned Area Indices LAB 2B: Ice and Snow Indices LAB 3: Classification of Multispectral Images

Dedication

In this topic, you will explore a detailed overview of radar technology history. All the necessary fundamentals to understand how electromagnetic waves work will be covered. Additionally, a lab session will be conducted where radar data will be explored in various application scenarios.

Specific Objectives

- History of radar technology and the discovery of electromagnetic waves - Geometry of image acquisition in airborne and spaceborne radar systems - Land applications of radar remote sensing - Applications of radar remote sensing over water - Application of radar remote sensing for risk manag

Related Activities

LAB 4: Introduction to SAR Images. Floods and Deforestation

Dedication

Applications of remote sensing to agriculture Floods, volcanoes, earthquakes, droughts, fires, .... Remote sensing applied to natural hazards

Dedication

Instruments for marine and inland waters extensometers, clinometers * In probing: extensometers, inclinometers, sliding probes, piezometers. Cable extensometer.

Dedication

Remote sensing techniques provide enormous amounts of data that fall into the complex category of "Big Data". Analyzing these data is fundamental for understanding the dynamic processes occurring on the Earth's surface. In this topic, we will work with Google Earth Engine and Python programming.

Specific Objectives

Theory, methods, and applications: Store, process, and analyze large volumes of remote sensing data. Extract information from the data, such as patterns, trends, and spatial relationships. Visualize the data in a clear and accessible manner.

Related Activities

LAB: Remote Sensing and Big Data. Google Earth Engine.

Dedication