ACCESS-4FI – Automated Crop Classification and yield Estimation online ServiceS for Food Industry. This project addresses the challenge of quantification and annual monitoring of the agricultural production, as seen from the perspective of different
The main goal of the BAMS-Mazovia (Build-up Areas Monitoring Service for Mazovia) project is to develop a service platform that would provide reliable information on changes occuring within built-up areas. The service will be
The need to develop an automated method, independent of lighting and surface conditions, for the identification and measurement of impact craters, as well as the creation of a reliable and efficient tool, has become
This study uses time-series Sentinel-1(S-1) synthetic aperture radar images to evaluate the impact of multi-temporal polarimetric processing on land-cover classification. Various polarimetric processing methods are applied to multi-temporal S-1 data set in order to
Traditionally, snow cover has been seen as an obstacle to landcover classification and impervious surface detection based on remote sensing. However, snow cover increases the spectral contrast between impermeable surfaces and other land-use types.
Historically, climatologists have found it difficult to access reliable information on cloud vertical structure. This is becaus e both surface-based observers and imaging/sounding satellite sensors have limited capability to report superposed cloud. How-ever, lidar–radar
Recreation is a complex and important ecosystem service. Therefore, there is a need for approaches that can account for this complexity, and integrate both environmental and socio-economical perspectives. The Recreational Ecosystem Services (RES) model
Tourism contributes to human well-being and is recognized as a cultural ecosystem service. However, assessments of landscape potential for tourism tend to be very general. Therefore, this study proposes a method that takes into
Task: Remote Sensing Analysis of Landforms in Isidis Planitia, Mars In 2018, the project’s goal and scope were determined, namely: to develop a semi-automatic algorithm to analyse characteristic landforms in Isidis Planitia on Mars.
This study uses the ray tracing method to simulate synthetic aperture radar (SAR) images of urban areas. The images are constructed for polarisations: horizontal-horizontal (HH) and vertical-vertical (VV), and different types of buildings, vegetation,