Jakub Ceglarek

ORCID: 0000-0003-0444-7072
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Research Areas
  • Soil Geostatistics and Mapping
  • Soil Carbon and Nitrogen Dynamics
  • Remote Sensing in Agriculture
  • Soil Moisture and Remote Sensing
  • Aeolian processes and effects
  • Soil erosion and sediment transport
  • Urban Heat Island Mitigation
  • Agriculture, Soil, Plant Science
  • Soil and Water Nutrient Dynamics
  • Soil and Land Suitability Analysis
  • Crop Yield and Soil Fertility
  • Atmospheric aerosols and clouds
  • Landslides and related hazards
  • Climate change and permafrost
  • Plant nutrient uptake and metabolism
  • Atmospheric chemistry and aerosols

Adam Mickiewicz University in Poznań
2015-2024

The objective of this study was to assess the relationship between hyperspectral reflectance soils and their albedo, measured under various roughness conditions. 108 soil surface measurements were conducted in Poland Israel. Each characterised by its diurnal albedo variation field as well spectra obtained laboratory. best fit model achieved post-processing manipulation spectra, namely second derivate transformation. Using a stepwise elimination process, four spectral wavelengths index...

10.1016/j.jqsrt.2017.05.033 article EN cc-by-nc-nd Journal of Quantitative Spectroscopy and Radiative Transfer 2017-06-02

Understanding the spatial–temporal variability of soil enzymatic activity and its relationship with nitrogen (N) resources in crop yield is crucial rational management practices mineral fertilization. The scarcity comprehensive studies on geostatic analyses agricultural soils plant yields, which would take into account both temporal spatial variability, was reason for undertaking this research. aim study to determine enzymes, such as acid (PAC) alkaline (PAL) phosphatases, urease (URE)...

10.3390/agriculture13102034 article EN cc-by Agriculture 2023-10-22

The division of an arable field into zones different productivity requires a reliable, discriminatory tool. This hypothesis was validated by analyzing the spatial variability yield and N indicators in crop rotation winter oilseed rape (WOSR)/winter triticale (WTR) during 2016/2017 2017/2018 30 ha (Przebędowo, Poland). direct, measurable variables were: yield, accumulated in—seeds/grain residues, mineral spring, harvest. basic were total uptake (TN), N-partial factor productivity, balance...

10.3390/agronomy10121959 article EN cc-by Agronomy 2020-12-12

Field zones at risk of low nitrogen use efficiency (NUE) can be identified by analyzing in-field spatial variability. This hypothesis was validated soil mineral (Nmin) and several plant N management indices. The research conducted in Karmin (central Poland) during two growing seasons, with winter oilseed rape (2018/2019) wheat (2019/2020). study showed that the crop yield positively related to Nmin. However, this trait did not explain all observed differences variation accumulation. In...

10.3390/agronomy14081845 article EN cc-by Agronomy 2024-08-20

The albedo of bare soil depends on its organic matter, iron oxide, carbonate contents, and reflectance geometry, features considered stable over time, also salinity, moisture roughness, which change dynamically due to agricultural practices. This paper deals with the quantitative estimation amount shortwave radiation that could be reflected by air-dried soils in clear-sky conditions within arable lands Israel throughout year, assuming they were shaped a plough, disk harrow, or smoothing...

10.3390/rs10030419 article EN cc-by Remote Sensing 2018-03-09

This paper quantifies the albedo variation in global bare, arable land, as one of components Earth's land surface, that occurs over relatively short periods year but a large total area. The study focused on impact location land's dominant soil units, incorporating their roughness diurnal (α) shortest (SDOY) and longest (LDOY) days year, mean (αd) values throughout under clear-sky conditions. Specialized software was used to generate aforementioned basis reflectance spectra stored database....

10.1016/j.jqsrt.2022.108440 article EN cc-by Journal of Quantitative Spectroscopy and Radiative Transfer 2022-11-25

Smoothing rough ploughed soils increases their albedo, which results in a lower amount of shortwave radiation being absorbed by surface layer. That emits less longwave radiation, leading to reduction its temperature, turn can affect the climate. This article presents multistage procedure using remote sensing and geostatistical data sets for quantification annual dynamics reflected from air-dried bare within arable lands European Union associated countries, Norway Switzerland. The soils,...

10.1080/01431161.2018.1474530 article EN cc-by-nc-nd International Journal of Remote Sensing 2018-05-11

Various soil properties derived from reflectance spectra can effectively provide reliable data for monitoring, digital mapping, precision agriculture, and environmental modelling. This paper focuses on the improvement of equations published in previous predicting diurnal blue-sky albedo bare soils with given roughness using their measured laboratory conditions. The improved based a 33% increase number analysed samples primarily quality expansion newly tested population. was when they were...

10.1016/j.jqsrt.2018.06.003 article EN cc-by-nc-nd Journal of Quantitative Spectroscopy and Radiative Transfer 2018-06-07

Smoothing soil surfaces, which had previously been deeply plowed, increases their albedo, results in a lower amount of shortwave radiation being absorbed by surface layer. Those surfaces emit less long-wave too, leading to reduction temperature, can affect the climate. This paper quantitatively estimates highest possible that could be reflected throughout year from bare soils on arable land most extensive agricultural regions, where major crops are cultivated, six Earth's continents. The...

10.1007/s12665-018-7956-7 article EN cc-by Environmental Earth Sciences 2018-11-23

This paper quantifies the annual dynamics of shortwave radiation reflected from bare arable land as a result smoothing previously plowed located in three different agricultural subregions European Union and associated countries. estimate takes into account variation area, obtained Sentinel 2 satellite imagery; spatial variability soil units within croplands, digital land-cover maps; laboratory spectral reflectance characteristics these units, samples stored LUCAS database. The properties...

10.3390/rs16132476 article EN cc-by Remote Sensing 2024-07-06

The soil albedo is mainly determined by mass constituents stable over a long time, such as organic carbon, carbonates and iron oxides, dynamically modified the roughness moisture of surfaces. Taking into account annual variations in bare area arable land Poland extracted from Landsat 8 images, amount shortwave radiation reflected territory throughout year only an effect smoothing soils previously treated plow pulverizing harrow was determined. authors used equations that predicted...

10.1109/igarss.2015.7326860 article EN 2015-07-01

The size of the microbial biomass and activity soil enzymes are among most sensitive indicators agricultural land quality. aim this study was to determine spatial temporal variability biomass, dehydrogenase (DHA) enzyme concentration micro- (Na, Mg Ca) macroelements (Cu, Zn, Mn Fe) in soil, collected from 37 measurement sites (depth 0–30 cm) a 40-hectare field during two growing seasons (wheat oilseed rape). percentage nitrogen (%N) wheat grain rapeseeds also determined. Mapping distribution...

10.3390/agronomy12102259 article EN cc-by Agronomy 2022-09-21

The objective of this study was to assess the relationship between hyperspectral reflectance soils and its albedo, measured under various roughness conditions. 108 soil surfaces measurements were conducted in Poland Israel. Each surface characterized by diurnal albedo variation field as well spectra that obtained laboratory. best fit model achieved postprocessing manipulation spectra, namely second derivate transformation. Using stepwise elimination process, four spectral wavelengths, index,...

10.1109/whispers.2016.8071743 article EN 2016-08-01

Understanding the spatial-temporal variability of soil enzymatic activity and its relationship with nitrogen resources in crop yield is key importance assessing functioning ecosystem. The aim study was to determine spatial temporal enzymes, such as acid (PAC) alkaline (PAL) phosphatases, urease (URE) protease (PROT), content N-NH4, N-NO3, phosphorus, pH, moisture, well on a conventionally managed farmland 40 ha. During two-year experiment, samples were collected from 37 measurement points....

10.2139/ssrn.4401494 article EN 2023-01-01
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