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The general trend of ongoing plant invasion and the increasing number of species that may become invasive in the future, force seeking solutions that can improve the efficiency and economy of their management. Thus, we applied a novel approach combining the use of geostatistical interpolators such as ordinary kriging (OK) and co-kriging (CK) with environmental and hyperspectral data to evaluate the potential threat associated with the distribution of invasive plant species and to predict their probabilities of occurrence above the selected threshold of 10%. The specific spatial patterns of the probability of occurrence of Heracleum sosnowskyi and Fallopia spp. were modelled in two study areas in southern Poland. The significant achievement of this study was the application of geostatistical tools producing results characterized by a degree of precision quantified by cross-validation errors, and prediction errors after field verification. OK and CK returned root mean squared error (RMSE) values in a range from 0.21 to 0.51 and 0.21 to 0.47, respectively. For OK and CK, the prediction errors resulting from field verification in the following year were between 0.03–0.39, and 0.03–0.29, respectively. Additionally, the study provided the first prediction maps (2D) and Digital Prediction Models (DPMs) (3D) visualizations of the probability of occurrence of both invasive plants. Although the proposed approach is illustrated with real case studies related to Heracleum sosnowskyi and Fallopia spp., it could be extended to other species. This demonstrates the potential of an effective alternative strategy for evaluating the risk posed by invasive plants, that will be able to provide fast, low cost and effective prediction and monitoring of their spread. For institutions dealing with invasive plants, this may be beneficial and help to reduce the negative consequences of their improper management.
Katarzyna Bzdęga; Adrian Zarychta; Alina Urbisz; Sylwia Szporak-Wasilewska; Michał Ludynia; Barbara Fojcik; Barbara Tokarska-Guzik. Geostatistical models with the use of hyperspectral data and seasonal variation – A new approach for evaluating the risk posed by invasive plants. Ecological Indicators 2020, 121, 107204 .
AMA StyleKatarzyna Bzdęga, Adrian Zarychta, Alina Urbisz, Sylwia Szporak-Wasilewska, Michał Ludynia, Barbara Fojcik, Barbara Tokarska-Guzik. Geostatistical models with the use of hyperspectral data and seasonal variation – A new approach for evaluating the risk posed by invasive plants. Ecological Indicators. 2020; 121 ():107204.
Chicago/Turabian StyleKatarzyna Bzdęga; Adrian Zarychta; Alina Urbisz; Sylwia Szporak-Wasilewska; Michał Ludynia; Barbara Fojcik; Barbara Tokarska-Guzik. 2020. "Geostatistical models with the use of hyperspectral data and seasonal variation – A new approach for evaluating the risk posed by invasive plants." Ecological Indicators 121, no. : 107204.
Despite covering only 2–6% of land, wetland ecosystems play an important role at the local and global scale. They provide various ecosystem services (carbon dioxide sequestration, pollution removal, water retention, climate regulation, etc.) as long as they are in good condition. By definition, wetlands are rich in water ecosystems. However, ongoing climate change with an ambiguous balance of rain in a temperate climate zone leads to drought conditions. Such periods interfere with the natural processes occurring on wetlands and restrain the normal functioning of wetland ecosystems. Persisting unfavorable water conditions lead to irreversible changes in wetland habitats. Hence, the monitoring of habitat changes caused by an insufficient amount of water (plant water stress) is necessary. Unfortunately, due to the specific conditions of wetlands, monitoring them by both traditional and remote sensing techniques is challenging, and research on wetland water stress has been insufficient. This paper describes the adaptation of the thermal water stress index, also known as the crop water stress index (CWSI), for wetlands. This index is calculated based on land surface temperature and meteorological parameters (temperature and vapor pressure deficit—VPD). In this study, an unmanned aerial system (UAS) was used to measure land surface temperature. Performance of the CWSI was confirmed by the high correlation with field measurements of a fraction of absorbed photosynthetically active radiation (R = −0.70) and soil moisture (R = −0.62). Comparison of the crop water stress index with meteorological drought indices showed that the first phase of drought (meteorological drought) cannot be detected with this index. This study confirms the potential of using the CWSI as a water stress indicator in wetland ecosystems.
Wojciech Ciężkowski; Sylwia Szporak-Wasilewska; Małgorzata Kleniewska; Jacek Jóźwiak; Tomasz Gnatowski; Piotr Dąbrowski; Maciej Góraj; Jan Szatyłowicz; Stefan Ignar; Jarosław Chormański. Remotely Sensed Land Surface Temperature-Based Water Stress Index for Wetland Habitats. Remote Sensing 2020, 12, 631 .
AMA StyleWojciech Ciężkowski, Sylwia Szporak-Wasilewska, Małgorzata Kleniewska, Jacek Jóźwiak, Tomasz Gnatowski, Piotr Dąbrowski, Maciej Góraj, Jan Szatyłowicz, Stefan Ignar, Jarosław Chormański. Remotely Sensed Land Surface Temperature-Based Water Stress Index for Wetland Habitats. Remote Sensing. 2020; 12 (4):631.
Chicago/Turabian StyleWojciech Ciężkowski; Sylwia Szporak-Wasilewska; Małgorzata Kleniewska; Jacek Jóźwiak; Tomasz Gnatowski; Piotr Dąbrowski; Maciej Góraj; Jan Szatyłowicz; Stefan Ignar; Jarosław Chormański. 2020. "Remotely Sensed Land Surface Temperature-Based Water Stress Index for Wetland Habitats." Remote Sensing 12, no. 4: 631.
The research carried out concerned the laboratory assessment of the applicability of the Crop Water Stress Index (CWSI) as a practical tool for assessing the risk of desiccation for selected wetland habitats: transition mires and quaking bogs as well as alkaline fens. The analysis was carried out on 3 soil samples with a vegetation cover (with the dimensions of 40×40×30 cm) collected during the full vegetation season for each mentioned habitat, with a characteristic species composition. Experimental research was carried out between 17th May 2018 and 19th June 2018. Thermal, RGB and multispectral images, chlorophyll content, volumetric soil moisture, air temperature and relative humidity measurements were taken for each sample every two days. The obtained results clearly indicate the dependence between CWSI and plant condition parameters in the first phase of desiccation. At the same time, as a result of the observations taken, thresholds have been set, indicating different desiccation phases.
Maciej Góraj; Wojciech Ciężkowski; Piotr Sikorski; Małgorzata Kleniewska; Sylwia Szporak-Wasilewska; Jacek Jóźwiak; Tomasz Gnatowski; Jan Szatyłowicz; Jarosław Chormański. Characterizing Selected Wetland Habitats’ Desiccation Phenomena Using the Crop Water Stress Index. 2018, 1 .
AMA StyleMaciej Góraj, Wojciech Ciężkowski, Piotr Sikorski, Małgorzata Kleniewska, Sylwia Szporak-Wasilewska, Jacek Jóźwiak, Tomasz Gnatowski, Jan Szatyłowicz, Jarosław Chormański. Characterizing Selected Wetland Habitats’ Desiccation Phenomena Using the Crop Water Stress Index. . 2018; ():1.
Chicago/Turabian StyleMaciej Góraj; Wojciech Ciężkowski; Piotr Sikorski; Małgorzata Kleniewska; Sylwia Szporak-Wasilewska; Jacek Jóźwiak; Tomasz Gnatowski; Jan Szatyłowicz; Jarosław Chormański. 2018. "Characterizing Selected Wetland Habitats’ Desiccation Phenomena Using the Crop Water Stress Index." , no. : 1.
This study is focused on adaptation of the water stress index to make use of it on bogs and mires of temperate transitional climate zone. Investigated object is located in Janowskie Forest Landscape Park (south-east Poland), area protected within Natura 2000 network and recognized as habitat 7140 (transition mires and quaking bogs). In order to obtain dataset UAV flights with thermal camera and airborne mission with hyperspectral sensor were performed. Field measurements included collection of both meteorological and biophysical parameters. It is shown that CWSI is a promising method for monitoring of water stress on Natura 2000 habitats.
Wojciech Ciężkowski; Jacek Jozwiak; Sylwia Szporak-Wasilewska; Piotr Dąbrowski; Małgorzata Kleniewska; Maciej Goraj; Jaroslaw Chormanski. Water Stress Index for Bogs and Mires Based on UAV Land Surface Measuremnts and Its Dependency on Airborne Hyperespectral Data. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 2018, 9257 -9260.
AMA StyleWojciech Ciężkowski, Jacek Jozwiak, Sylwia Szporak-Wasilewska, Piotr Dąbrowski, Małgorzata Kleniewska, Maciej Goraj, Jaroslaw Chormanski. Water Stress Index for Bogs and Mires Based on UAV Land Surface Measuremnts and Its Dependency on Airborne Hyperespectral Data. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. 2018; ():9257-9260.
Chicago/Turabian StyleWojciech Ciężkowski; Jacek Jozwiak; Sylwia Szporak-Wasilewska; Piotr Dąbrowski; Małgorzata Kleniewska; Maciej Goraj; Jaroslaw Chormanski. 2018. "Water Stress Index for Bogs and Mires Based on UAV Land Surface Measuremnts and Its Dependency on Airborne Hyperespectral Data." IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium , no. : 9257-9260.
Leaf CA measurement should take into account angle variation during measurement time. Leaf wettability of common deciduous forest plants is characterized by wetting contact angles ranging from 60° to 140° with a significant variation between species of the same family. Leaf wettability is an important phenomenon that has an influence on several processes such as the hydrological cycle, plant pathogen growth, or pollutant and pesticide absorption/deposition. The main objective of this research was to investigate the leaf wettability differences of 19 species (16 trees and 3 shrubs) of deciduous plants commonly occurring in Polish forests (temperate climate). The measurements were gathered as follows: 20 undamaged leaves were selected for each species and the wettability was determined by contact angle measurements with an optical goniometer CAM 100 using the sessile drop method. The contact angle was measured with 1-s intervals during 2 min from droplet deposition on adaxial and abaxial leaf surface. Laboratory analyses were completed during the summer of 2016 during full vegetation growth. A general CA decrease with time was observed on both leaf sides. The contact angle values ranged from 60° to 140° depending on species and leaf side. Differences between contact angle values at the beginning and the end of measurement reached 23.6° and engendered changes of wetting classes for some species. In many cases, no wettability class change was observed despite a CA lowering of 20°. The abaxial side was found to be the more repellent for 14 out of 19 species. Altogether, the leaves were classified from highly wettable to highly non-wettable, probably depending on the plant-survival strategy.
Ewa Papierowska; Sylwia Szporak-Wasilewska; Joanna Szewińska; Jan Szatyłowicz; Guillaume Debaene; Marta Utratna. Contact angle measurements and water drop behavior on leaf surface for several deciduous shrub and tree species from a temperate zone. Trees 2018, 32, 1253 -1266.
AMA StyleEwa Papierowska, Sylwia Szporak-Wasilewska, Joanna Szewińska, Jan Szatyłowicz, Guillaume Debaene, Marta Utratna. Contact angle measurements and water drop behavior on leaf surface for several deciduous shrub and tree species from a temperate zone. Trees. 2018; 32 (5):1253-1266.
Chicago/Turabian StyleEwa Papierowska; Sylwia Szporak-Wasilewska; Joanna Szewińska; Jan Szatyłowicz; Guillaume Debaene; Marta Utratna. 2018. "Contact angle measurements and water drop behavior on leaf surface for several deciduous shrub and tree species from a temperate zone." Trees 32, no. 5: 1253-1266.
This study estimates rainfall interception losses from natural wetland ecosystems based on maximum canopy storage measurements. Rainfall interception losses play an important role in water balance, which is crucial in wetlands, and has not yet been thoroughly studied in relation to this type of ecosystem. Maximum canopy storage was measured using the weight method. Based on these measurements, daily values of interception losses were estimated and then used to calculate long-term interception losses based on precipitation and potential evapotranspiration data for the 1971–2015 period. Depending mainly on the number of days with precipitation, the results show that total interception losses for the growing season as well as monthly interception losses are around 13% of gross rainfall. This value is similar to the values observed for some forests. Hence, interception losses should not be disregarded in hydrologic models of wetlands, especially because data trends in meteorological conditions (mainly number of days with precipitation) show that interception losses will increase in the future if those trends stay the same.
Wojciech Ciężkowski; Tomasz Berezowski; Małgorzata Kleniewska; Sylwia Szporak-Wasilewska; Jarosław Chormański. Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements. Water 2018, 10, 41 .
AMA StyleWojciech Ciężkowski, Tomasz Berezowski, Małgorzata Kleniewska, Sylwia Szporak-Wasilewska, Jarosław Chormański. Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements. Water. 2018; 10 (1):41.
Chicago/Turabian StyleWojciech Ciężkowski; Tomasz Berezowski; Małgorzata Kleniewska; Sylwia Szporak-Wasilewska; Jarosław Chormański. 2018. "Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements." Water 10, no. 1: 41.
This study estimates rainfall interception losses from natural wetland ecosystems based on maximum canopy storage measurements. Rainfall interception losses play an important role in water balance, which is crucial in wetlands, and has not yet been thoroughly studied in relation to this type of ecosystem. Maximum canopy storage was measured using the weight method. Based on these measurements, daily values of interception losses were estimated and then used to calculate long term interception losses based on precipitation and potential evapotranspiration data for the 1971–2015 period. Depending mainly on the number of days with precipitation, the results show that total interception losses for the growing season as well as monthly interception losses are around 13% of gross rainfall. This value is similar to the values observed for some forests. Hence, interception losses should not be disregarded in hydrologic models of wetlands, especially because data trends in meteorological conditions (mainly number of days with precipitation) show that interception losses will increase in the future if those trends stay the same.
Wojciech Ciężkowski; Tomasz Berezowski; Małgorzata Kleniewska; Sylwia Szporak-Wasilewska; Jarosław Chormański. Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements. 2017, 1 .
AMA StyleWojciech Ciężkowski, Tomasz Berezowski, Małgorzata Kleniewska, Sylwia Szporak-Wasilewska, Jarosław Chormański. Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements. . 2017; ():1.
Chicago/Turabian StyleWojciech Ciężkowski; Tomasz Berezowski; Małgorzata Kleniewska; Sylwia Szporak-Wasilewska; Jarosław Chormański. 2017. "Modelling Wetland Growing Season Rainfall Interception Losses Based on Maximum Canopy Storage Measurements." , no. : 1.
Modelling groundwater depths in floodplains and peatlands remains a basic approach to assessing hydrological conditions of habitats. Groundwater flow models used to compute groundwater heads are known for their uncertainties, and the calibration of these models and the uncertainty assessments of parameters remain fundamental steps in providing reliable data. However, the elevation data used to determine the geometry of model domains are frequently considered deterministic and hence are seldom considered a source of uncertainty in model-based groundwater level estimations. Knowing that even the cutting-edge laser-scanning-based digital elevation models have errors due to vegetation effects and scanning procedure failures, we provide an assessment of uncertainty of water level estimations that remain basic data for wetland ecosystem assessment and management. We found that the uncertainty of the digital elevation model (DEM) significantly influenced the results of the assessment of the habitat’s hydrological conditions expressed as groundwater depths. In extreme cases, although the average habitat suitability index (HSI) assessed in a deterministic manner was defined as ‘unsuitable’, in a probabilistic approach (grid-cell-scale estimation), it reached a value of 40% probability, signifying ‘optimum’ or ‘tolerant’. For the 24 habitats analysed, we revealed vast differences between HSI scores calculated for individual grid cells of the model and HSI scores computed as average values from the set of grid cells located within the habitat patches. We conclude that groundwater-modelling-based decision support approaches to wetland assessment can result in incorrect management if the quality of DEM has not been addressed in studies referring to groundwater depths.
Dorota Mirosław-Świątek; Adam Kiczko; Sylwia Szporak-Wasilewska; Mateusz Grygoruk. Too wet and too dry? Uncertainty of DEM as a potential source of significant errors in a model-based water level assessment in riparian and mire ecosystems. Wetlands Ecology and Management 2017, 25, 547 -562.
AMA StyleDorota Mirosław-Świątek, Adam Kiczko, Sylwia Szporak-Wasilewska, Mateusz Grygoruk. Too wet and too dry? Uncertainty of DEM as a potential source of significant errors in a model-based water level assessment in riparian and mire ecosystems. Wetlands Ecology and Management. 2017; 25 (5):547-562.
Chicago/Turabian StyleDorota Mirosław-Świątek; Adam Kiczko; Sylwia Szporak-Wasilewska; Mateusz Grygoruk. 2017. "Too wet and too dry? Uncertainty of DEM as a potential source of significant errors in a model-based water level assessment in riparian and mire ecosystems." Wetlands Ecology and Management 25, no. 5: 547-562.
In our study, we analyzed the combined standard uncertainty of water table slope assessment done using differential global positioning system (DGPS)-based measurements of water table elevation and distances between measurement locations. We compared and discussed uncertainties in water table slope assessments done in various hypothetical environments of lowland floodplains (water table slopes typically ranged from 1.25 · 10−4 to 1 · 10−3). Our analyses referred to elevation measurements done with the static GPS and DGPS real-time kinematic (RTK) approaches, which are currently among the most frequently used elevation measurement techniques worldwide. Calculations of the combined standard uncertainty of water table slope allowed us to conclude that the DGPS-RTK approach used in water table slope assessment can result in assessment errors as high as 50 % at short (<200 m) distances. Acceptable water table slope measurement errors (lower than 5 %) occur at distances longer than 11,320 m in the case of DGPS-RTK measurements, while, in the case of static GPS measurements, acceptable measurement errors at the same level occur at distances as low as 1350 m. Errors in water table slope assessment as high as 50 % occur at distances of 1130 m and 140 m for DGPS-RTK and static GPS measurements, respectively. We conclude that, although the DGPS-RTK methodology—due to its ease of use and time-saving capabilities is very often applied to water level measurements in lowland riparian wetlands, the application of the DGPS-RTK methodology for water table slope assessment at distances shorter than a few couples of meters results in very low accuracy (errors greater than 50 %) and should not be used for calculating local slopes in low slope areas such as lowland riparian zones.
Dorota Mirosław-Świątek; Robert Michałowski; Sylwia Szporak-Wasilewska; Stefan Ignar; Mateusz Grygoruk. Unraveling uncertainties of water table slope assessment with DGPS in lowland floodplain wetlands. Environmental Monitoring and Assessment 2016, 188, 625 .
AMA StyleDorota Mirosław-Świątek, Robert Michałowski, Sylwia Szporak-Wasilewska, Stefan Ignar, Mateusz Grygoruk. Unraveling uncertainties of water table slope assessment with DGPS in lowland floodplain wetlands. Environmental Monitoring and Assessment. 2016; 188 (11):625.
Chicago/Turabian StyleDorota Mirosław-Świątek; Robert Michałowski; Sylwia Szporak-Wasilewska; Stefan Ignar; Mateusz Grygoruk. 2016. "Unraveling uncertainties of water table slope assessment with DGPS in lowland floodplain wetlands." Environmental Monitoring and Assessment 188, no. 11: 625.
. Airborne laser scanning survey data were conducted with a scanning density of 4 points/m2 to accurately map the surface of a unique central European complex of wetlands: the lower Biebrza River valley (Poland). A method to correct a degrading effect of vegetation (so-called “vegetation effect”) on digital terrain models (DTMs) was applied utilizing remotely sensed images, real-time kinematic global positioning system elevation measurements, topographical surveys, and vegetation height measurements. Geographic object-based image analysis (GEOBIA) was performed to map vegetation within the study area that was used as categories from which vegetation height information was derived for the DTM correction. The final DTM was compared with a model obtained, where additional correction of the “vegetation effect” was neglected. A comparison between corrected and uncorrected DTMs demonstrated the importance of accurate topography through a simple presentation of the discrepancies arising in features of the flood using various DTM products. An overall map classification accuracy of 80% was attained with the use of GEOBIA. Correction factors developed for various types of the vegetation reached values from 0.08 up to 0.92 m and were dependent on the vegetation type.
Dorota Miroslaw-Swiatek; Sylwia Szporak-Wasilewska; Robert Michalowski; Ignacy Kardel; Mateusz Grygoruk. Developing an algorithm for enhancement of a digital terrain model for a densely vegetated floodplain wetland. Journal of Applied Remote Sensing 2016, 10, 36013 .
AMA StyleDorota Miroslaw-Swiatek, Sylwia Szporak-Wasilewska, Robert Michalowski, Ignacy Kardel, Mateusz Grygoruk. Developing an algorithm for enhancement of a digital terrain model for a densely vegetated floodplain wetland. Journal of Applied Remote Sensing. 2016; 10 (3):36013.
Chicago/Turabian StyleDorota Miroslaw-Swiatek; Sylwia Szporak-Wasilewska; Robert Michalowski; Ignacy Kardel; Mateusz Grygoruk. 2016. "Developing an algorithm for enhancement of a digital terrain model for a densely vegetated floodplain wetland." Journal of Applied Remote Sensing 10, no. 3: 36013.
Near-natural lowland floodplains, which nearly disappeared in temperate climates due to the vast anthropopression, play a critically important role in shaping biodiversity in regional scales. The other important aspects of floodplains such as their role in flood mitigation for downstream reaches of rivers, catchment-scale ecosystem services, and agriculture emphasize the need for research of these ecosystems, with special focus on the flood-vegetation interactions. In our study we performed an experiment oriented at the accurate quantification of water retention capacity of the densely vegetated floodplain located in NE Poland, referring to the floodplain porosity (ε). We conducted measurements of the geometry of selected types of the floodplain vegetation, with a special focus on the communities dominated by the common reed (Phragmites australis (Cav.) Trin. ex Steud.), the reed-manna grass (Glyceria maxima (Hartm.) Holumb.) and dominant representatives of loosely structured sedges (Carex acuta L.) and of tussock sedges (Carex appropinquata Schumach.)., which allowed us to derive the volume of these species and eventually the floodplain porosity coefficients in a function of various flood depths. Estimated values of ε equalled from 0.882 to 0.993. Average value of ε for all vegetation communities analysed for all flood depths considered equalled 0.968. Consideration of the derived ε values in the case study on the floodplain water retention capacity estimation in hypothetical conditions of a standard flood (2-year recurrence interval) resulted in the reduction of the total water storage volume of the floodplain by 0.75 mn m3 of water. Results of our research indicated that the studies oriented at quantification of water storage within the floodplain as an asset for ecosystem services should consider floodplain porosity due to its significance in the accurate estimation of floodplain capacity.
Dorota Mirosław-Świątek; Sylwia Szporak-Wasilewska; Mateusz Grygoruk. Assessing floodplain porosity for accurate quantification of water retention capacity of near-natural riparian ecosystems—A case study of the Lower Biebrza Basin, Poland. Ecological Engineering 2016, 92, 181 -189.
AMA StyleDorota Mirosław-Świątek, Sylwia Szporak-Wasilewska, Mateusz Grygoruk. Assessing floodplain porosity for accurate quantification of water retention capacity of near-natural riparian ecosystems—A case study of the Lower Biebrza Basin, Poland. Ecological Engineering. 2016; 92 ():181-189.
Chicago/Turabian StyleDorota Mirosław-Świątek; Sylwia Szporak-Wasilewska; Mateusz Grygoruk. 2016. "Assessing floodplain porosity for accurate quantification of water retention capacity of near-natural riparian ecosystems—A case study of the Lower Biebrza Basin, Poland." Ecological Engineering 92, no. : 181-189.
Joanna Suliga; Jarosław Chormański; Sylwia Szporak-Wasilewska; Małgorzata Kleniewska; Tomasz Berezowski; Ann Van Griensven; Boud Verbeiren. Derivation from the Landsat 7 NDVI and ground truth validation of LAI and interception storage capacity for wetland ecosystems in Biebrza Valley, Poland. Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX 2015, 96371Z -96371Z-13.
AMA StyleJoanna Suliga, Jarosław Chormański, Sylwia Szporak-Wasilewska, Małgorzata Kleniewska, Tomasz Berezowski, Ann Van Griensven, Boud Verbeiren. Derivation from the Landsat 7 NDVI and ground truth validation of LAI and interception storage capacity for wetland ecosystems in Biebrza Valley, Poland. Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX. 2015; ():96371Z-96371Z-13.
Chicago/Turabian StyleJoanna Suliga; Jarosław Chormański; Sylwia Szporak-Wasilewska; Małgorzata Kleniewska; Tomasz Berezowski; Ann Van Griensven; Boud Verbeiren. 2015. "Derivation from the Landsat 7 NDVI and ground truth validation of LAI and interception storage capacity for wetland ecosystems in Biebrza Valley, Poland." Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX , no. : 96371Z-96371Z-13.
Sylwia Szporak-Wasilewska; Dorota Mirosław-Świątek; Mateusz Grygoruk; Robert Michałowski; Ignacy Kardel. Processing of airborne laser scanning data to generate accurate DTM for floodplain wetland. Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX 2015, 963720 -963720-11.
AMA StyleSylwia Szporak-Wasilewska, Dorota Mirosław-Świątek, Mateusz Grygoruk, Robert Michałowski, Ignacy Kardel. Processing of airborne laser scanning data to generate accurate DTM for floodplain wetland. Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX. 2015; ():963720-963720-11.
Chicago/Turabian StyleSylwia Szporak-Wasilewska; Dorota Mirosław-Świątek; Mateusz Grygoruk; Robert Michałowski; Ignacy Kardel. 2015. "Processing of airborne laser scanning data to generate accurate DTM for floodplain wetland." Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX , no. : 963720-963720-11.
Sylwia Szporak-Wasilewska; Mikołaj Piniewski; Janusz Kubrak; Tomasz Okruszko. What we can learn from a wetland water balance? Narew National Park case study. Ecohydrology & Hydrobiology 2015, 15, 136 -149.
AMA StyleSylwia Szporak-Wasilewska, Mikołaj Piniewski, Janusz Kubrak, Tomasz Okruszko. What we can learn from a wetland water balance? Narew National Park case study. Ecohydrology & Hydrobiology. 2015; 15 (3):136-149.
Chicago/Turabian StyleSylwia Szporak-Wasilewska; Mikołaj Piniewski; Janusz Kubrak; Tomasz Okruszko. 2015. "What we can learn from a wetland water balance? Narew National Park case study." Ecohydrology & Hydrobiology 15, no. 3: 136-149.
In this study we develop a spatial model for interception capacity of vegetation based on LiDAR data. The study is conducted in the natural wetland river valley dominated meadows, reeds and small bushes. The multiple regression model was chosen to relate the field measurements of interception capacity and LiDAR statistics at 2m grid. The optimal model was chosen by stepwise selection and further manual variables selection resulting in the r 2 of 0.52 and the residual standard error of 0.27 mm. The model preserved the vegetation pattern spatially and showed reasonable estimates for both vegetation covered and not covered by field sampling. The model was, however, affected by LiDAR measurements corrupted by river inundation. The results show good perspective for using LiDAR data for interception capacity estimation.
Tomasz Berezowski; Jaroslaw Chormanski; Małgorzata Kleniewska; Sylwia Szporak-Wasilewska. Towards rainfall interception capacity estimation using ALS LiDAR data. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, 735 -738.
AMA StyleTomasz Berezowski, Jaroslaw Chormanski, Małgorzata Kleniewska, Sylwia Szporak-Wasilewska. Towards rainfall interception capacity estimation using ALS LiDAR data. 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2015; ():735-738.
Chicago/Turabian StyleTomasz Berezowski; Jaroslaw Chormanski; Małgorzata Kleniewska; Sylwia Szporak-Wasilewska. 2015. "Towards rainfall interception capacity estimation using ALS LiDAR data." 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , no. : 735-738.
The Polish Journal of Environmental Studies publishes original papers and critical reviews
Małgorzata Kleniewska; Dariusz Gołaszewski; Grzegorz Majewski; Sylwia Szporak-Wasilewska; Katarzyna Rozbicka; Tomasz Rozbicki. Diurnal Course of the Main Heat Balance Components of a Marshy Meadow in the Lower Biebrza River Valley. Polish Journal of Environmental Studies 2015, 24, 945 -950.
AMA StyleMałgorzata Kleniewska, Dariusz Gołaszewski, Grzegorz Majewski, Sylwia Szporak-Wasilewska, Katarzyna Rozbicka, Tomasz Rozbicki. Diurnal Course of the Main Heat Balance Components of a Marshy Meadow in the Lower Biebrza River Valley. Polish Journal of Environmental Studies. 2015; 24 ():945-950.
Chicago/Turabian StyleMałgorzata Kleniewska; Dariusz Gołaszewski; Grzegorz Majewski; Sylwia Szporak-Wasilewska; Katarzyna Rozbicka; Tomasz Rozbicki. 2015. "Diurnal Course of the Main Heat Balance Components of a Marshy Meadow in the Lower Biebrza River Valley." Polish Journal of Environmental Studies 24, no. : 945-950.