Maa-57.2040 Kaukokartoituksen yleiskurssi / General Remote Sensing

We have trained machine learning models to classify field parcels with and without crop loss, using NDVI values derived from Landsat 7 data.. Several models were compared and tested

Remote sensing Drone UAV Hyperspectral Imaging Direct reflectance Atmospheric correction Empirical line method Radiometric calibration Reflectance factor Irradiance

Pollen concentration detect by Hirst-type spore trap at 4 m height (a), range-corrected signal at 1064 nm (b), linear volume depolarization ratio at 355 (c) and 532 nm (d) by Polly

sensing, the interaction of the electromagnetic spectrum and objects, imaging sensors

Commercial presenter: Specim OY Remote Sensing of Forests and Land Cover Change Chair: Mika Karjalainen 16:15 Urmas Peterson: cross-border comparison of forest area changes caused

Atmospheric correction is often a prerequisite for the use Of optical remote sensing data in many applications.. Three different situations (a, b, c) have been

Why remote sensing is good way to monitor environment (according to European

Vertaile MODIS- ja MERIS-instrumentteja ja kuvien ominaisuuksia.. Compare MODIS- and MERIS-instruments and