. . . "To conduct field and laboratory measurements for several plant physiological parameters; "@en . . "To conduct field and laboratory measurements for several plant physiological parameters; "@en . . . "To explain the spectral properties of vegetation and explain the use and role of vegetation physiological parameters in various applications for terrestrial ecosystems."@en . . "To explain the spectral properties of vegetation and explain the use and role of vegetation physiological parameters in various applications for terrestrial ecosystems."@en . . . "To explain existing phenological analysis techniques and its relevance to a range of applications; "@en . . "To explain existing phenological analysis techniques and its relevance to a range of applications; "@en . . . "To apply the learned techniques in an individual assignment related to the student's MSc thesis. "@en . . "To apply the learned techniques in an individual assignment related to the student's MSc thesis. "@en . . . "To estimate phenological parameters, such as start- and end-of-season, from satellite image time series; "@en . . "To estimate phenological parameters, such as start- and end-of-season, from satellite image time series; "@en . . . "To describe modelling approaches for estimation of plant physiological parameters using remote sensing data, including general statistical approaches (such as calculation of various vegetation indices), and inversion of simple radiative transfer models; "@en . . "To describe modelling approaches for estimation of plant physiological parameters using remote sensing data, including general statistical approaches (such as calculation of various vegetation indices), and inversion of simple radiative transfer models; "@en . . "https://ltb.itc.utwente.nl/page/792/concept/152730" . . "Vegetation physiological parameters"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152742" . . "Empirical models"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152778" . . "Spectroscopy"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152826" . . "Phenology"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152844" . "https://ltb.itc.utwente.nl/page/792/concept/152845" . . "Radiative transfer model"@en . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152888" . . "Time-series images"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "The Master’s Programme Geo-Information Science and Earth Observation (M-GEO) is a two-year academic curriculum at MSc level, taught fully in English, dedicated to understanding the earth’s systems from a geographic and spatial perspective. The field of Geo-information Science and Earth Observation has, in recent years, witnessed fast scientific and technological developments. As a result, geographic information has become a vital asset to society and part of our daily life. The ubiquitous production and availability of spatial data require cloud computing and new technology to turn the increasing volume of ‘big data’ to good use. The growing range of global challenges, from climate change and resource depletion to environmental pollution and pandemic diseases, that our society and in particular the more vulnerable populations on our planet are facing, increases the demand for academic professionals who have the ability, attitudes and skills to design solutions that are sustainable, transdisciplinary and innovative with positive societal impacts. Our education focuses on addressing these global problems by means of advanced geo-information and earth observation applications."@en . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . . . "ArcGIS"@en . . . "ENVI"@en . . . "Google Earth Engine"@en . . . "Matlab"@en . . . "TIMESAT"@en . . . "Course"@en . "201900062" . "NRS_0005" . "5"^^ . "140"^^ . "10"^^ . "2022-11-10T23:00:00Z"^^ . "f2f" . "A series of lectures, tutorials in the forms of discussions and Q&A sessions, field and lab tutoring, supervised practicals, and the use of online and distance learning materials will be implemented."@en . "Remote sensing and GIS cores,GIS and remote sensing skills."@en . "2"^^ . "1" . "1A " . "2022-09-04T22:00:00Z"^^ . "This course deals with the retrieval of quantitative information about vegetation canopies from remote sensing data. In particular, the focus will be on vegetation physiological parameters, namely leaf area index and phenology and how they can be estimated from remote sensing data.\n\nDefinitions and details about these parameters, how they are measured in the field, and how they are estimated using various remote sensing data will be provided during the course."@en . "Quantitative Remote Sensing of Vegetation Parameters "@en . "Quantitative RS of Vegetation Parameters"@en . "Quantitative RS of Vegetat