The Laboratory of Applied Geoinformatics and Remote Sensing of the Institute of Geography and Earth Sciences at the University of Szede represents a world level in the field of remote sensing and analysis of satellite images. The investigations carried out by the research group allow for a more effective analysis of crops over a longer period of time – the educational institution informed our editors about this.
Space footage has been processed
Geoinformatics is a science that deals with the processing of spatial information, and is multidisciplinary in nature, including engineering, information technology, natural sciences and other fields, such as
Agricultural and Social Sciences, it deals with frontier issues related to Earth observation (remote sensing in space), based on its models.
The DESIS hyperspectral camera operating on the International Space Station captured images of a sample area southeast of the Great Plain based on a programming research and data collection plan provided by Szeged researchers. The measurement results and aerial photographs were processed based on ground reference data, with professional support from Mezőhegyes Nemzeti Ménesbirtok és Tangazdaság Zrt. At the end of 2022.
In 2023, a total of 8 scientific publications, including 7 studies for the first quarter, were published by members of the research group. Among these publications, the research group's publication is the third most cited work out of 741 articles published this year in the IEEE (Institute of Electrical and Electronics Engineers) Journal of Geosciences and the Remote Sensing Society for Selected Topics in Applied Earth Observations and Remote Sensing.
They are working to build a sustainable future
In the field of remote sensing and analysis of satellite images, the Laboratory of Geoinformatics and Remote Sensing of the SZTE Institute of Geography and Geosciences, a research group of the Coordination Center for Space and Earth Observation Research IKIKK of SZTE, represents world class.
IEEE is the world's largest technical organization dedicated to advancing technology globally. Its members inspire society through publications, conferences, technology standards, and professional and educational activities that are widely cited for building a sustainable future. Their scientific journal is IEEE Xplore, a leading professional journal where the latest research is published.
The most important result of the research group formed by Uzbek doctoral students Nizom Farmonov, Khilula Amankulova, Dr. Andras Goodman, Dr. Bui Dang Hong, Dr. Josef Szatmari and Dr. Laszlo Mosi is that Through machine learning classification of hyperspectral satellite images, different agricultural crops can be efficiently analyzed at the field level during the entire phenological period. The relationship between measurable and verifiable yield, spectral properties and different crop areas, or so-called crop zones, within the field can be determined.
They make estimates very accurately
Continuous spectral information can be linked to the biophysical properties of plants, the occurrence of plant diseases, or regional differences in soil. Based on serial pre-harvest satellite images, the researchers estimated crop yields with high accuracy for fields of soybeans, winter wheat and sunflowers.
By the beginning of the 2000s, GIScience, the science of spatial information, had been created by widespread applications of geographic information systems (GISystems) and today represents the basis of one of the fastest growing technology and spatial data infrastructure industries. Dr. Laszlo Mosi said. – The result of this was the development of a master’s course plan in Geoinformatics in Szeged and the creation of the course which was launched in 2023 in 5 other Hungarian higher education institutions in addition to SZTE.
The project highlighted the enormous potential offered by hyperspectral satellite images for agriculture. As indicated by the announcement, based on the investigations conducted in the areas of Nemzeti Ménesbirtok és Tangazdaság Zrt., it can be said that
These aerial images are suitable not only for monitoring plant health status and its response to certain treatments, but also for evaluating indicators of soil nutrient and water management.
This means numerous research topics and opportunities for further cooperation between universities, research institutes and productive agriculture, the task of which is for farmers to raise the most important problems that researchers in the field of geoinformatics can answer, including remote sensing.
