Remote sensing of forest biophysical variables using HyMap imaging spectrometer data

By Martin Schlerf, Clement Atzberger, Joachim Hill. 2005

392 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/6a18bf46308dcfa0d58547f68e678e8d976d3774

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Jochem Verrelst
2. José F. Moreno
3. Jan G. P. W. Clevers
4. Gustau Camps-Valls
5. Andrew K. Skidmore
6. Clement Atzberger
7. Juan Pablo Rivera
8. Martin Schlerf

In Environmental Engineering

1. Michael E. Schaepman
2. Jan G. P. W. Clevers
3. Jochem Verrelst
4. José F. Moreno
5. Gustau Camps-Valls
6. Andrew K. Skidmore
7. Roshanak Darvishzadeh
8. Clement Atzberger

Citations in the corpus

• Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat (2010, background): “At the same time, however, these data sets contain large amounts of redundant information (Baret et al., 2000; Schlerf et al., 2005; Grossman et al., 1996).”
• Review of optical-based remote sensing for plant trait mapping (2013, background): “Some traits and properties can be estimated with high 256 accuracy and fidelity, e.g. leaf chlorophyll content (Sampson et al., 2003; Zarco-Tejada et al., 257 2004), leaf water content (Clevers et al., 2008; Colombo et al., 2008) and leaf area index 258 (Myneni et al., 2002; Schlerf et al., 2005).”
• Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, background): “sured and estimated LAI perceptibly improves when only a few but well-chosen wavelengths are selected for model inversion (Meroni et al., 2004; Fang and Liang, 2005; Schlerf et al., 2005; Darvishzadeh et al., 2011).”
• Leaf Area Index derivation from hyperspectral vegetation indicesand the red edge position (2009, methodology): “The chlorophyll amount present in a vegetation canopy is characterized by the chlorophyll concentration of the leaves and the Leaf Area Index (Schlerf et al. 2005).”
• Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data (2021, neutral): “Spectral Indices Formula Developer SB-1 R1450 [54] SB-2 R1600 [55] WBI-1 R950/R970 [25] WBI-2 R1150/R1260 [25] NDVI-1 (R1094 − R1205)/(R1094 + R1205) [56] NDVI-2 (R1094 − R983)/(R1094 + R 83) [56] TBR 2R1180−1220/(R1090−1110 + R1265−1285) [26] SRI-1 R1058/R1148 [57] SRI-2 R1070/R1340 [28] Where R: t”
• LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements (2008, background): “Benefits of the cross-validation method are its aptitude to detect outliers and its capability of providing nearly unbiased estimations of the prediction error (Efron and Gong, 1983; Schlerf et al., 2005).”
• Angular sensitivity analysis of vegetation indices derived from CHRIS/PROBA data (2008, background): “He et al., 2006; Schlerf et al., 2005; Xavier et al., 2006; Zarco-Tejada et al., 2005), and even less were tested on their directional response.”