Learn Photogrammetry and remote-sensing – This site is an educational site to promote education of Photogrammetry and Remote-sensing in Finland

Photogrammetry.fi

Welcome to Learn photogrammetry in Finland blog Photogrammetry is the art and science of using images, processing units, methods, and sensors to extract geometric and radiometric information, classification information, and…

Ehsan Khoramshahi June 6, 2024

New publication Photogrammetry Remote-sensing

🚀New Publication Alert! ⏰

We’re thrilled to announce the release of our latest open-access paper in Remote-Sensing: "A Taxonomy of Sensors, Calibration and Computational Methods, and Applications of Mobile Mapping Systems: A Comprehensive Review"…

Ehsan Khoramshahi April 24, 2025

Article Review

Discriminator-free Adversarial Domain Adaptation

In the previous post, I described Unsupervised Domain Adaptation (UDA) method. In this post, I summarize an article about a UDA method. The article title is "Reusing the Task-specific Classifier…

Ehsan Khoramshahi April 21, 2025

Basics Machine-Learning

Unsupervised Domain Adaptation (UDA)

In this post we briefly review a machine learning method called Unsupervised Domain Adaptation (UDA) that is significant in remote-sensing and photogrammetry. Unsupervised Domain Adaptation (UDA) is a machine learning technique…

Ehsan Khoramshahi April 21, 2025

Basics Remote-sensing

Water-Leaving Reflectance

Water-Leaving Reflectance (R_rs) refers to the fraction of sunlight that is reflected (or scattered) upward out of a water body and into the atmosphere after interacting with the water and…

Ehsan Khoramshahi April 17, 2025

Basics Remote-sensing

Water quality indicators

Water quality indicators are physical, chemical, biological, and microbiological parameters used to assess the health and quality of water. These indicators provide insights into the suitability of water for various…

Ehsan Khoramshahi April 17, 2025

Basics Remote-sensing

The types of resolutions in remote-sensing

One of the most important things to understand about remote sensing data is the resolution of datasets. When deciding on a dataset to use and first approaching a problem, remote…

Ehsan Khoramshahi April 17, 2025

Basics Remote-sensing

Terrigenous or benthic inputs

Terrigenous or benthic inputs refer to materials that originate from land (terrestrial sources) or the seafloor (benthic sources) and are transported into aquatic systems, particularly oceans and lakes. These inputs…

Ehsan Khoramshahi April 17, 2025

Basics Remote-sensing

Suspended Particulate Matter (SPM)

Suspended Particulate Matter (SPM) refers to small particles, both organic and inorganic, that are suspended in a liquid medium such as water. These particles remain dispersed in the water column…

Ehsan Khoramshahi April 17, 2025

Basics Remote-sensing

Examples of bio-optical models

Several important bio-optical models have been developed to describe the interactions between light and the biological and optical properties of natural waters. These models are foundational in aquatic remote sensing,…

Ehsan Khoramshahi April 17, 2025

Basics Remote-sensing

Reflection vs. Irradiance

Reflection vs Irradiance 1. Reflection **Definition**: Reflection refers to the portion of light (or electromagnetic radiation) that bounces off a surface when it strikes it. **Key Characteristics**: - **Nature**: It…

Ehsan Khoramshahi April 17, 2025