Harmonization of hyperspectral satellite data to support parcel level irrigation

A tétel rövid nézete
dc.contributor.advisorFehér, Zsolt Zoltán
dc.contributor.authorZhao, Chengwei
dc.contributor.departmentDE--Mezőgazdaság- Élelmiszertudományi és Környezetgazdálkodási Karhu_HU
dc.date.accessioned2021-05-05T13:34:26Z
dc.date.available2021-05-05T13:34:26Z
dc.date.created2021-04-22
dc.description.abstractThe current study is a preliminary research of an intelligent irrigation support system of a maize field in Nyírbátor, NE Hungary. The first part of the study attempts to find a common denominator between multispectral Landsat 8 and Sentinel 2 images, in order to significantly increase the temporal resolution of the acquisition interval. This analysis considers the effect of the nearest neighbor method, the bilinear interpolation and the best linear unbiased estimation approaches. The second part of the research highlights the deficiency of applicability of the Penman-Monteith system. Although the soil conditions are unknown since there were no in situ sensors installed, the study attempts to mimic as well as to filter out the effect of extreme rainfall events on the irrigation demand, by analyzing three different theoretical scenarios. Finally, the thesis attempts to answer the failure of the in situ biophysical measurements.hu_HU
dc.description.courseAgricultural Environmental Management Engineeringhu_HU
dc.description.degreeMSc/MAhu_HU
dc.format.extent48hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/308549
dc.language.isoenhu_HU
dc.subjectsatellite imageryhu_HU
dc.subjectcross-sensorhu_HU
dc.subjectGIShu_HU
dc.subjectcrop evapotranspirationhu_HU
dc.subjectvagetation indexhu_HU
dc.subject.dspaceDEENK Témalista::Mezőgazdaságtudományhu_HU
dc.titleHarmonization of hyperspectral satellite data to support parcel level irrigationhu_HU
Fájlok
Gyűjtemények
Theses (MÉK)