The paper aims at demonstrating the assumptions and achievements of the Pilot Utilization Plan Activities performed
within the Project ASAP “Advanced Sustainable Agricultural Production”, co-financed by European Space Agency
under the ARTES IAP Programme.
Within the course of the project, the Pilot Utilization Plan (PilUP) activities are performed in order to develop the remote
sensing based models, and further calibrate and validate them in order to achieve the accuracy, which meets the
requirements of paying customers.
The completion of the first PilUP resulted in development of the following models based of Landsat 8 and Sentinel 2
satellite data: model of homogenous polygons demarcation on the basis of comparison of electromagnetic scanning
results and bare soil spectral reflectance, model of problematic areas indication and model for yield potential, delivered
on the basis of NDVI map developed 1 month before harvest and the map of yield/collected yield derived from Users
participating in PilUP.
The second edition of the PilUP is being conducted between March 2017 until the end of 2017. This edition includes
farmers and insurance companies. The following activities are planned: development of model for delimitation of loses
due to unfavorable wintering of winter crops and validation of the model with in-situ data collected by the insurance
companies in-field investigators, further enhancement of the model for homogenous polygons delimitation and primary
indication of soil productivity and testing of the applicability and viability of map of problematic areas with the farmers.
The paper aims at presentation of SYeNERGY project, which is designed to develop the on-line platform applying satellite data in order to support various actors in the Energy Market in Poland. According to the Amendment of the Law on Renewable Energy Sources from 22.06.2016 r. in Poland, the recipients of the energy biomass – Energy Companies, are obliged to obey to the rules of local biomass (the biomass can be obtained from the distance of maximum 300 km in straight line from the CHP) and biomass’ sustainable acquisition (the biomass cannot be collected from the areas under protection of: NATURA 2000, Reservations, National and Regional Parks). The entire responsibility of obtaining the biomass according to the law is put on the recipients of the biomass – Energy Companies. This situation was found by the Institute of Geodesy and Cartography as a motivation for development of the system which would enable to efficiently check if the acquired biomass fulfill the requirements of local biomass and sustainable acquisition and would deliver the estimation of the biomass to be obtained. In the beginning of 2017, the agreement between the Institute of Geodesy and Cartography and PGE S.A. – one of the biggest energy companies in Poland was signed in order to conduct the pilot application of SYeNERGY platform in their everyday work.
The results of application of microwave and optical satellite data for soil moisture (SM) assessment are presented. The research has been carried out from 2015 to 2016 at Biebrza Wetlands test site located in North-East Poland, designated by Ramsar Convention as Wetlands of International Importance. A regression models based on Sentinel-1 backscattering coefficients (σ°) have been developed to generate the soil moisture (SM) maps over Biebrza Wetlands. The optical data from Sentinel-2 have been used for the classification of wetlands vegetation habitats to improve SM predictions. The wetland vegetation differed, there were reeds, sedge-moss, sedges, grass-herbs, and grass. The majority of the changes occurred in moist habitats, while anthropogenic appeared more stable during study period. The observed changes were referred to moving/grazing changes and weather effects causing droughts/floods. SM differed from 30% during the drought season in 2015 to 95% in the wet season in 2016. It has been examined the impact of biomass and SM on microwave signal under changing soil moisture and vegetation growth conditions. Vegetation biomass has been characterized by measured in-situ LAI and by vegetation indices calculated from Sentinel-2, Terra MODIS data. The impact of SM and LAI on σ° calculated from Sentinel-1 data showed that LAI dominates the influence on σ° when SM is low. The analysis have been done to estimate the threshold of the SM values which dominate the backscatter. This study demonstrates the capability of Sentinel-1/2 data to estimate SM, offering an important advantage for wetlands monitoring.
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