Inge Sandholt

Prof. Dr. Inge Sandholt

DTU SPACE, National Space Institute, Technical University of Denmark, 2800 Kgs. Lyngby Denmark
orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2002 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Inge SandholtInge Sandholt
Inge Sandholt
KRKjeld Rasmussen
Kjeld Rasmussen
JAJens Andersen
Jens Andersen

1 June 2004 in Remote Sensing of Environment
Verified
Journal Article
Closed access
RFRasmus Fensholt
Rasmus Fensholt
Inge SandholtInge Sandholt
Inge Sandholt
MRMichael Schultz Rasmussen
Michael Schultz Rasmussen


26 June 2006 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Closed access
Wenze YangWenze Yang
Wenze Yang
BTBin Tan
Bin Tan
DHDong Huang
Dong Huang
MRMiina Rautiainen
Miina Rautiainen
NSN.V. Shabanov
N.V. Shabanov
RMRanga Myneni
Ranga Myneni
Global products of vegetation green Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) are being operationally produced from Terra and Aqua Moderate Resolution Imaging Spectroradiometers (MODIS) at 1-km resolution and eight-day frequency. This paper summarizes the experience of several collaborating investigators on validation of MODIS LAI products and demonstrates the close connection between product validation and algorithm refinement activities. The validation of moderate resolution LAI products includes three steps: 1) field sampling representative of LAI spatial distribution and dynamic range within each major land cover type at the validation site; 2) development of a transfer function between field LAI measurements and high resolution satellite data to generate a reference LAI map over an extended area; and 3) comparison of MODIS LAI with aggregated reference LAI map at patch (multipixel) scale in view of geo-location and pixel shift uncertainties. The MODIS LAI validation experiences, summarized here, suggest three key factors that influence the accuracy of LAI retrievals: 1) uncertainties in input land cover data, 2) uncertainties in input surface reflectances, and 3) uncertainties from the model used to build the look-up tables accompanying the algorithm. This strategy of validation efforts guiding algorithm refinements has led to progressively more accurate LAI products from the MODIS sensors aboard NASA's Terra and Aqua platforms

1 March 2008 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Simon StisenSimon Stisen
Simon Stisen
Inge SandholtInge Sandholt
Inge Sandholt
ANAnette Nørgaard
Anette Nørgaard
RFRasmus Fensholt
Rasmus Fensholt
KJKarsten Høgh Jensen
Karsten Høgh Jensen

1 September 2007 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Simon StisenSimon Stisen
Simon Stisen
Inge SandholtInge Sandholt
Inge Sandholt
ANAnette Nørgaard
Anette Nørgaard
RFRasmus Fensholt
Rasmus Fensholt
LELars Eklundh
Lars Eklundh