@misc{jeziorska_2019, title={UAS for Wetland Mapping and Hydrological Modeling}, volume={11}, ISSN={["2072-4292"]}, DOI={10.3390/rs11171997}, abstractNote={The miniaturization and affordable production of integrated microelectronics have improved in recent years, making unmanned aerial systems (UAS) accessible to consumers and igniting their interest. Researchers have proposed UAS-based solutions for almost any conceivable problem, but the greatest impact will likely be in applications that exploit the unique advantages of the technology: work in dangerous or difficult-to-access areas, high spatial resolution and/or frequent measurements of environmental phenomena, and deployment of novel sensing technology over small to moderate spatial scales. Examples of such applications may be the identification of wetland areas and use of high-resolution spatial data for hydrological modeling. However, because of the large—and growing—assortment of aircraft and sensors available on the market, an evolving regulatory environment, and limited practical guidance or examples of wetland mapping with UAS, it has been difficult to confidently devise or recommend UAS-based monitoring strategies for these applications. This paper provides a comprehensive review of UAS hardware, software, regulations, scientific applications, and data collection/post-processing procedures that are relevant for wetland monitoring and hydrological modeling.}, number={17}, journal={REMOTE SENSING}, author={Jeziorska, Justyna}, year={2019}, month={Sep} }
 @article{latocha_szymanowski_jeziorska_stec_roszczewska_2016, title={Effects of land abandonment and climate change on soil erosion An example from depopulated agricultural lands in the Sudetes Mts., SW Poland}, volume={145}, ISSN={["1872-6887"]}, DOI={10.1016/j.catena.2016.05.027}, abstractNote={The aim of the study is to calculate and evaluate the changes in spatial distribution of soil erosion rates related to land use/cover changes and climate changes in the Sudetes Mts. within the last 150 years. Various methods were used, including GIS analysis of historical and contemporary land use/cover and climate data, spatial analysis of soil erosion modeling using RUSLE. Changes in spatial distribution of precipitation sums were estimated based on spatial deterministic-stochastic models (regression-kriging) applied to the measurement data from the entire Sudetes region in both analyzed periods. There was a pronounced increase in the area of forests and grasslands at the expenses of arable grounds due to depopulation and consequent land abandonment. These changes started already in the 1880s but they were intensified after World War II. On average soil erosion in the study area decreased by 76.2% (from 4.03 t ha− 1 y− 1 in the 19th century to present 0.96 t ha− 1 y− 1). However, the changes in erosion are highly diverse locally in the studied region with the maximum decrease of 8–16 t ha− 1 y− 1 on steep and higher slopes, which were transformed from arable grounds to forests and grasslands. While both land use and climate changes took place in the study area, changes in land use/cover have a much larger impact on calculated soil erosion rate than climate change. The abandonment of land and the development of spontaneous succession of vegetation limited soil erosion in a very effective way. The values obtained by RUSLE modeling were compared with other values of soil erosion from various field measurements in the Sudetes Mountains in order to evaluate the model. The measurements were based on the experimental plots and sediments stored within the agricultural terraces and in the water reservoirs of various sizes. While the specific sites show large differences in denudation rates, the mean contemporary erosion calculated from our model (0.06 mm y− 1) corresponds with the average rate of denudation, which was calculated for the entire Sudetes: 0.05–0.01 mm y− 1 (Jahn 1968).}, journal={CATENA}, author={Latocha, Agnieszka and Szymanowski, Mariusz and Jeziorska, Justyna and Stec, Magdalena and Roszczewska, Monika}, year={2016}, month={Oct}, pages={128–141} }
 @inproceedings{jeziorska_mitasova_petrasova_petras_divakaran_zajkowski_2016, title={Overland flow analysis using time series of sUAS- derived elevation models}, volume={3}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84979525774&partnerID=MN8TOARS}, DOI={10.5194/isprs-annals-iii-8-159-2016}, abstractNote={Abstract. With the advent of the innovative techniques for generating high temporal and spatial resolution terrain models from Unmanned Aerial Systems (UAS) imagery, it has become possible to precisely map overland flow patterns. Furthermore, the process has become more affordable and efficient through the coupling of small UAS (sUAS) that are easily deployed with Structure from Motion (SfM) algorithms that can efficiently derive 3D data from RGB imagery captured with consumer grade cameras. We propose applying the robust overland flow algorithm based on the path sampling technique for mapping flow paths in the arable land on a small test site in Raleigh, North Carolina. By comparing a time series of five flights in 2015 with the results of a simulation based on the most recent lidar derived DEM (2013), we show that the sUAS based data is suitable for overland flow predictions and has several advantages over the lidar data. The sUAS based data captures preferential flow along tillage and more accurately represents gullies. Furthermore the simulated water flow patterns over the sUAS based terrain models are consistent throughout the year. When terrain models are reconstructed only from sUAS captured RGB imagery, however, water flow modeling is only appropriate in areas with sparse or no vegetation cover.
                    }, number={8}, booktitle={International archives of the photogrammetry remote sensing and spatial}, author={Jeziorska, J. and Mitasova, Helena and Petrasova, A. and Petras, Vaclav and Divakaran, D. and Zajkowski, T.}, year={2016}, pages={159–166} }