Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer
By Z. Malenovsky, Lucie Homolová, Raúl Zurita-Milla, Petr Lukes, V. Kaplan, J. Hanuš, J. Gastellu‐Etchegorry, Michael E. Schaepman. 2013
179 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/22546625333983e5dd969f4464fc010a069dbe89
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
In Ecology
- Jan G. P. W. Clevers
- Z. Malenovsky
- Gustau Camps-Valls
- José F. Moreno
- Jochem Verrelst
- Juan Pablo Rivera
- Jordi Muñoz-Marí
- Jean-Baptiste F'eret
In Global and Planetary Change
- Z. Malenovsky
- Jan G. P. W. Clevers
- Jochem Verrelst
- Uwe Rascher
- José F. Moreno
- Gustau Camps-Valls
- G. García-Santos
- J. Gastellu‐Etchegorry
Citations in the corpus
- Plant phenotyping: from bean weighing to image analysis (2015, background): “Spectral indicators used for plant trait detection and phenotyping range from simple ratios calculated from responses at two wavelengths [13,16], via normalized indices [13,16] (example discussed below) to very complex equations and algorithms [25,26].”
- Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, methodology): “Similarly, Malenovsky et al. (2013) trained an ANN based on PROSPECT-DART simulations to estimate leaf chlorophyll content (LCC) from hyperspectral AISA data.”
- Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes (2015, background): “reflectance [32], modeling of 3D distribution of photosynthesis and primary production rates in vegetation canopies [43], investigation of influence of Norway spruce forest structure and woody elements on canopy reflectance [44], design of a new chlorophyll estimating vegetation index for a conifer ”
- Review of optical-based remote sensing for plant trait mapping (2013, background): “, 2009) and among them chlorophylls a and b (Cab) have received most attention (Haboudane et al., 2002; le Maire et al., 2004; Malenovský et al., 2013; Schlerf et al., 2010; Zarco-Tejada et al., 2004), whereas carotenoids (Gitelson, 2002; Hernández-Clemente et al.”
- HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging (2015, methodology): “Area under continuumremoved curve ANCB650 − 720 : Continuum removal based method Chlorophyll a & b content (Canopy) [30]”