Projects

S2GLC to projekt międzynarodowy, finansowany przez Europejską Agencję Kosmiczną i realizowany przez konsorcjum prowadzone przez CBK PAN wraz z trzema partnerami zagranicznymi: IABG, EOXPLORE i Uniwersytet w Jenie. Celem projektu jest stworzenie naukowych podstaw do opracowanie przyszłej, globalnej, bazy danych o pokryciu terenu, z wykorzystaniem zdjęć nowego satelity programu Copernicus (Sentinel-2). Ocenie poddane zostaną możliwości …

S2GLC. Sentinel-2 Global Land Cover Read More »

Analysis of spectra characteristics of tomato plants infected by pathogens. Identification of spectra bands required for pathogens detections. Construction of multispectral camera. Development of algorithm for pathogen detection on multispectral images. Principal Investigator: Michał Krupiński Funding source: NCBR Timeframe: Mar. 1, 2019 – Dec. 31, 2020

This project addresses the challenge of quantification and annual monitoring of the agricultural production, as seen from the perspective of different individual actors in the agriculture sector. The project will be executed primarily in Poland, but it aims to expand to a regional scale in the longer-term perspective. The main objective is to develop a …

ACCESS-4FI. Autmated Crop Classifacation and yield Estimation onlinw Services for Food Industry Read More »

The global climate change is a worldwide problem where its mitigation is one of the 17th Sustainable Development Goals of the UN. An effective mitigation strategy should assess all the possible sustainable actions that can contribute to this direction. A challenging and very prominent contribution to raise CO2 sequestration could come from the Land Use …

MAIL. Identifying Marginal Lands in Europe and strengthening their contribution potentialities in a CO₂ sequestration strategy Read More »

The project aims to develop a system based on stellite images for crops identification and monitoring, as well as, for assessing effects of extreme weather phenomena. The method which will be proposed, will use Copernicus Sentinels(1,2,3) data. The system will suport Statistics Poland. The system for identification and monitoring of arable corps will become one …

SATMIROL. Remote sensing based crop detection and monitoring for agricultural statistics Read More »

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 based on Sentinel-2 imagery and the required information shall be provided in a fully automatic way using image classification algorithms. The …

BAMS-Mazovia. Built-up Areas Monitoring Service for Mazovia Read More »

Development of the method for classification of crops types basing on SAR and optical images acquired by constellation of Sentinel satellites. Building up of the prototype of a toolbox for crops types classification. Principal Investigator: Edyta Woźniak Funding source: ESA Timeframe: May 15, 2018 – May 14, 2020

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. The current scope is preliminary processing of imaged data and the analysis of structures of interest, i.e. the detection of arcuate ridges …

Analysis of the surface of the solar system bodies with the use of mathematical morphology techniques Read More »

The goal of the project is to perform feasibility study of land cover classification based on SAR Sentinel-1 images. Currently used algorithms dedicated to land cover classification on SAR images does not give the results on a level of optical images. It tends to take an attempt to resolve this issue. Previous studies indicate that …

ESA Sentinel 1: Feasibility study of land cover classification based on SAR Sentinel-1 images Read More »