. . . . "ITC Bok"@en . . "201900051" . "WRS_0004" . "5"^^ . "140"^^ . "10"^^ . "2023-02-02T23:00:00Z"^^ . "f2f" . . . . . "basic knowledge on remote sensing."@en . . . . . . "2"^^ . "2" . "1B " . "2022-11-13T23:00:00Z"^^ . "Plants play a crucial role in the history of the Earth. They have accelerated the water cycle, and have made soil formation possible, and provide Oxygen through photosynthesis. They are also the primary sink of carbon dioxide, and they are our food.\n\nOngoing changes in climate affect the functioning of plants, but also vice versa: Land cover changes affect the surface properties of the Earth which in turn affect the climate. For sustainable land cover, ecology and food production, we must be able to quantify the role of plants in the climate on Earth.\n\nThis course offers tools to quantify processes in terrestrial vegetation using contemporary remote sensing signals (reflectance, chlorophyll fluorescence, and thermal remote sensing) in combination with in situ data. There is attention for natural ecosystems as well as crops.The following topics will be covered:\n\nPlant physiological processes and their relation with satellite data\nThe use of radiative transfer models for scaling processes from the molecular to the satellite level\nThe retrieval of plant functional traits from satellite data, in particular Sentinel 1,2,3, and 5 (Tropomi), and airborne data collected in the frame of the ESA’s 8th Earth Explorer mission FLEX.\nThe use of these data in dynamic vegetation model\nThe participants will work on their own mini-project, such as: the effect of companion planting, the water productivity or water footprint, the effect of volcano eruptions, re- or deforestation."@en . "Remote Sensing and Modelling of Primary Productivity and Plant Growth"@en . . "RS & Mod. Primary Prod. & Plant Growth"@en . "RS & Mod. Primary Prod. & Plant Growth"@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 Vegetation Parameters"@en . "https://ltb.itc.utwente.nl/page/792/concept/152844" . "https://ltb.itc.utwente.nl/page/792/concept/152845" . . "Radiative transfer model"@en