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Results 1-6 of 6 (Search time: 0.093 seconds).
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  • Leaf area index retrieved from thermal hyperspectral data

    • Authors: Neinavaz, Elnaz;  Advisor: -;  Participants: - (2016)

  • Leaf area index (LAI) is an important essential biodiversity variable due to its role in many terrestrial ecosystem processes such as evapotranspiration, energy balance, and gas exchanges as well as plant growth potential. A novel approach presented here is the retrieval of LAI using thermal infrared (8–14 μm, TIR) measurements. Here, we evaluate LAI retrieval using TIR hyperspectral data. Canopy emissivity spectral measurements were recorded under controlled laboratory conditions using a MIDAC (M4401-F) illuminator Fourier Transform Infrared spectrometer for two plant species during which LAI was destructively measured. The accuracy of retrieval for LAI was then assessed using partial least square regression (PLSR) and narrow band index calculated in the form of normalized differen...
  • LA

  • Mapping spatial variation of foliar nitrogen using hyper spectral  remote sensing

    • Authors: Skidmore, A.K.; Wang, Z.;  Advisor: -;  Participants: - (2016)

  • Thesis assessed the ability of indirect estimation of nitrogen using the link with leaf traits retrieved from PROSPECT-5 model inversion; evaluated the feasibility of retrieving nitrogen through recalibrating PROSPECT- 5 by incorporating the effects of leaf protein and cellulose + lignin on leaf reflectance and transmittance; tested if nitrogen can still be retrieved if canopy structural effects were corrected for the canopy BRF; investigated to what extent nitrogen can be retrieved by linking a recalibrated PROSPECT-5 and canopy reflectance models such as INFORM.
  • BB

  • How to effectively obtain metadata from remote sensing big data?

    • Authors: Körting, T.S.;  Advisor: -;  Participants: - (2016)

  • What can be considered big data when dealing with remote sensing imagery? In general terms, big data is defined as data requiring high management capabilities characterized by 3 V’s: Volume, Velocity and Variety. In the past, (e.g. 1975), considering the computational and databases resources available, a series of Landsat-1 imagery from the same region could be considered big data. Nowadays, several satellites are available, and they produce massive amounts of data. Certainly, an image data set obtained by a single satellite, for a specific region and along time, fills the 3 V’s requirements to be considered big data as well. In order to deal with remote sensing big data, we propose to explore the generation of metadata based on the detection of simple features. Besides the intrinsi...
  • LA

  • Microwave remote sensing for soil moisture monitoring :Synergy of active and passive observations and validation of retrieved products

    • Authors: Su, Z. ; Dente, L.;  Advisor: -;  Participants: - (2016)

  • Thesis includes a description of the soil moisture monitoring networks set up in these regions and a detailed analysis of the collected datasets; the soil moisture products obtained from AMSR‐E and the relative soil wetness index products retrieved from ASCAT are validated for the Maqu region; the SMOS soil moisture products are validated for both the Maqu and the Twente regions; The seasonal behaviour, the anomalies behaviour and the autocorrelation of AMSR‐E soil moisture and ERS relative soil wetness index are analysed.
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