Application: Hyperspectral remote sensing

Hyperspectral remote sensing

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Basic information

Name Hyperspectral remote sensing
Specific Name


Nr. Name Formula Variables Comment
1 Hyperspectral perpendicular VI ( 1148nm - a · 807nm - b ) 1148nm - a · 807nm - b a=1.17, b=3.37


Nr. Name Spectral Range Bands
1 HyMap 429-2493.8 126
2 EnMap 420-2450 244
3 AVIRIS 355.15-2515 224
4 Orbview-4 450-2450 200
5 Hyperion 349.896-2582.28 242
6 VIIRS 412-13350 22
7 AISA 400-2506.7 498
8 HYDICE 400-2500 210
9 MIPAS 685-2410 5
10 SCIAMACHY 240-2380 15
11 CASI1500 380-1500 288
12 SASI600 950-2450 100
13 GLI 375-12500 36
14 GOSAT 700-13200 4
15 ARIES-1 400-2587 105
16 TIMS 0-12200 8


Nr. Author/Title Year Comment
1 Apan, Armando; Held, Alex; Phinn, Stuart; Markley, John - Formulation and assessment of narrow-band vegetation indices from EO-1 hyperion imagery for discriminating sugarcane disease 2003
3 Blackburn, G. A. - Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves 1998
4 Blackburn, George Alan - Hyperspectral remote sensing of plant pigments 2007
5 Borregaard, T.; Nielsen, H.; Norgaard, L.; Have, H. - Crop-weed discrimination by line imaging spectroscopy 2000
6 Broge, N. H.; Leblanc, E. - Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density 2000
7 Brunn, A.; Busch, W.; Dittmann, C.; Fischer, C.; Vosen, P. - Monitoring Mining Induced Plant Alteration and Change Detection in a German Coal Mining Area using Airborne Hyperspectral Imagery 2003
8 Chevrel, Stephane; Belocky, Reinhard; Grösel, Klemens - Monitoring and Assessing the Environmental Impact of Mining in Europe Using Advanced Earth Observation Techniques - MINEO 2002
9 Clevers, J. G. P. W.; Kooistra, L. - Assessment of heavy metal contamination in river floodplains by using the red-edge index 2003
10 Clevers, J. G. P. W.; Kooistra, L.; Salas, E. A. L. - Study of heavy metal contamination in river floodplains using the red-edge position in spectroscopic data 2004
11 Cloutis, E. A.; Connery, D. R.; Major, D. J.; Dover, F. J. - Airborne multi-spectral monitoring of agricultural crop status: effect of time of year, crop type and crop condition parameter 1996
12 Curran, Paul J.; Windham, W. Robert; Gholz, Henry L. - Exploring the relationship between reflectance red edge and chlorophyll concentration in slash pine leaves 1995
13 Dash, J.; Curran, P. J. - The MERIS terrestrial chlorophyll index 2004
14 Dorigo, Wouter; Gerighausen, Heike - Automatic retrieval of crop characteristics: an example for hyperspectral AHS data from the AgriSAR campaign 2007
15 Eyers, R. D. ; Mills, J. P. - Subsidence Detection Using Integrated Multi Temporal Airborne Imagery 2004
16 Eyers, R. D. ; Mills, J. P. ; Cutler, M. E. J. - The topographic and spectral expression of mining subsidence 2004
17 Fischer, Christian - Use of GIS and Multitemporal Imaging Spectrometer data for Modelling and Mapping Environmental Changes in Mining Areas 2002
18 Galvćo, Lźnio Soares; Formaggio, Antōnio Roberto; Tisot, Daniela Arnold - Discrimination of sugarcane varieties in Southeastern Brazil with EO-1 Hyperion data 2005
19 Gamon, J. A.; Peńuelas, J.; Field, C. B. - A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency 1992
20 Gamon, J. A.; Serrano, L.; Surfus, J. S. - The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels 1997
21 Goel, P. K.; Prasher, S. O.; Landry, J. A.; Patel, R. M.; Viau, A. A. - Hyperspectral image classification to detect weed infestations and nitrogen status in corn 2003
22 Guyot, G.; Baret, F.; Major, D. J. - High spectral resolution: Determination of specral shifts between the red and the near infrared 1988
23 He, Y.; Guo, X.; Wilmshurst, J. - Comparison of different methods for measuring leaf area index in a mixed grassland 2007
24 Hecker, Jeanna Hyde - Investigation of the Relationship between Chlorophyll Concentration and High Spectral Resolution Data of Phragmites australis in Heavy Metal Contaminated Sites 2003
25 Herrmann, I.; Pimstein, A.; Karnieli, A.; Cohen, Y.; Alchanatis, V.; Bonfil, D. J. - LAI assessment of wheat and potato crops by VENµS and Sentinel-2 bands 2011
26 Jacobsen, Anne; Broge, Niels H.; Hansen, Birger U. - Monitoring wheat fields and grasslands using spectral reflectance data 1995
27 Jago, Rosemary A.; Cutler, Mark E. J.; Curran, Paul J. - Estimating Canopy Chlorophyll Concentration from Field and Airborne Spectra 1999
28 Kemper, Thomas; Sommer, Stefan - Estimate of Heavy Metal Contamination in Soils after a Mining Accident Using Reflectance Spectroscopy 2002
29 le Maire, G.; Francois, C.; Dufrene, E. - Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements 2004
30 Main, Russell; Cho, Moses Azong; Mathieu, Renaud; O’Kennedy, Martha M.; Ramoelo, Abel; Koch, Susan - An investigation into robust spectral indices for leaf chlorophyll estimation 2011
31 Merton, R. N. - Monitoringcommunityhysteresis using spectralshiftanalysis and the red-edgevegetationstressindex 1998
32 Oppelt, N.; Mauser, W. - Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data 2004
33 Pu, R.; Ge, S.; Kelly, N. M.; Gong, P. - Spectral absorption features as indicators of water status in coast live oak ( Quercus agrifolia ) leaves 2003
34 Schlerf, M.; Atzberger, C.; Hill, J. - Remote sensing of forest biophysical variables using HyMap imaging spectrometer data 2005
35 Strachan, Ian B.; Pattey, Elizabeth; Boisvert, Johanne B. - Impact of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance 2002
36 Thenkabail, P. S.; Smith, R. B.; De Pauw, E. - Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization 2002
37 Underwood, Emma; Ustin, Susan; DiPietro, Deanne - Mapping nonnative plants using hyperspectral imagery 2003
38 Wu, Chaoyang; Niu, Zheng; Tang, Quan; Huang, Wenjiang - Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation 2008
39 Yang, Chenghai; Everitt, James H.; Bradford, Joe M. - Airborne Hyperspectral Imagery and Yield Monitor Data for Mapping Cotton Yield Variability 2004
40 Zarco-Tejada P.J.; Miller J.R. - Land Cover Mapping at BOREAS using red edge spectral parameters from CASI imagery 1999
42 Zarco-Tejada, P. J.; Miller, J. R.; Noland, T. L.; Mohammed, G. H.; Sampson, P. H. - Scaling-up and model inversion methods with narrow-band optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data 2001

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