Application: Hyperspectral remote sensing Red-edge position

Hyperspectral remote sensing Red-edge position

Basic information

Name	Hyperspectral remote sensing
Specific Name	Red-edge position
Description

Indices

Nr.	Name	Formula
1	Red-Edge Stress Vegetation Index	$\frac{718nm + 748nm}{2} - 733nm$
2	Visible Atmospherically Resistant Indices RedEdge	$\frac{[700:710] - [620:680]}{[700:710] + [620:680]}$
3	Chlorophyll IndexRedEdge	$\frac{NIR}{rededge} - 1$
4	Simple Ratio NIR/Rededge	$\frac{NIR}{rededge}$
5	Simple Ratio Rededge/Red	$\frac{rededge}{RED}$
6	Red-Edge Inflection Point 1	$700 + 40 (\frac{(\frac{670nm + 780nm}{2}) - 700nm}{740nm - 700nm})$
7	Red-Edge Inflection Point 2	$702 + 40 (\frac{(\frac{667nm + 782nm}{2}) - 702nm}{742nm - 702nm})$
8	Red-Edge Inflection Point 3	$705 + 35 (\frac{(\frac{665nm + 783nm}{2}) - 705nm}{740nm - 705nm})$
9	Chlorophyll Index RedEdge 710	$\frac{750nm}{710nm} - 1$
10	Red-Edge Position Linear Interpolation	$700 + 40 \frac{(\frac{670nm + 780nm}{2}) - 700nm}{740nm - 700nm}$
11	Normalized Difference NIR/Rededge	$\frac{NIR - rededge}{NIR + rededge}$
12	Normalized Difference Rededge/Red	$\frac{rededge - RED}{rededge + RED}$
13	Chlorophyll Red-Edge	${(\frac{[760:800]}{[690:720]})}^{(-1)}$
14	Red edge 1	$\frac{[708:716]}{[676:685]}$
15	Red edge 2	$\frac{[708:716] - [676:685]}{[708:716] + [676:685]}$

Sensors

Nr.	Name	Spectral Range	Bands
1	ChrisProbaM1	406-1003	62
2	ChrisProbaM4	486-796	18
3	ChrisProbaM5	438-1036	37
4	HyMap	429-2493.8	126
5	EnMap	420-2450	244
6	AVIRIS	355.15-2515	224
7	Orbview-4	450-2450	200
8	Hyperion	349.896-2582.28	242
9	VIIRS	412-13350	22
10	AISA	400-2506.7	498
11	DAIS-7915	400-12600	79
12	HYDICE	400-2500	210
13	ARIES-1	400-2587	105
14	ASAS	400-1020	62
15	PHI	400-1000.35	244
16	CASI spectral	391-905.5	96
17	AVIS	550-994	74
18	ChrisProbaM2	406-1036	18
19	ChrisProbaM3	438-1035	18
20	LandsatMSS (Landsat1-3)	500-1100	4
21	RapidEye	440-850	5
22	MERIS	407.5-905	15
23	ChrisProbaM3A	420-910	18
24	WorldView-2	400-1040	9
25	WorldView-3	400-2365	29
26	CZCS	433-12500	6
27	SEVIRI	560-14400	12
28	MSU-MR	500-12500	6
29	Resurs-DK1	500-800	4
30	CASI_spatial	417-806	11
31	AHS	428.5-13140	80
32	Sentinel-2A	433-2280	13
33	VENμS	400-920	12
34	SCIAMACHY	240-2380	15
35	CASI 550	400-1000	288
36	CASI1500	380-1500	288
37	GLI	375-12500	36
38	CASI EG	474.7-789.5	13
39	Daedalus	0-13000	12
40	Azimuth Systems AZ-16	0-13000	12
41	CASI-2 Vegetation	441.53-869.54	12
42	LandsatTM (Landsat4,5)	450-12500	7
43	LandsatETM+ (Landsat7)	450-12500	8
44	ASTER	520-11650	15
45	QuickBird	450-900	5
46	IKONOS-2	445-900	5
47	Kompsat-2	0-900	5
48	GeoEye-1	450-920	5
49	Orbview-1	450-900	5
50	HRSC-A	395-1015	5
51	ALI	433-2350	10
52	Formosat-2	450-900	5
53	ALOS	0-890	6
54	CBERS-1/CBERS-2	450-890	8
55	SeaWiFS	412-905	8
56	MERSI	402-12750	20
57	OCM-2	402-885	8
58	UK-DMC 2	520-900	3
59	DubaiSat-1	420-890	5
60	GOMOS	250-952	5
61	MIPAS	685-2410	5
62	INSAT-2E	550-12500	6
63	Pleiades-1	430-950	5
64	IRS-P3	403-1650	18
65	MMR	450-2300	7
66	AVNIR	400-920	5
67	SIS	450-900	5
68	Resource21	450-1650	6
69	PROBA-V	440-1635	4
70	Deimos-2	420-890	5
71	SPOT 6	450-890	5
72	SPOT 7	450-890	5
73	AVHRR	580-12500	6

References

Nr.	Author/Title	Year
1	Clevers, J. G. P. W.; Kooistra, L. - Assessment of heavy metal contamination in river floodplains by using the red-edge index	2003
2	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
3	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
4	Curran, Paul J.; Windham, W. Robert; Gholz, Henry L. - Exploring the relationship between reflectance red edge and chlorophyll concentration in slash pine leaves	1995
5	Dash, J.; Curran, P. J. - The MERIS terrestrial chlorophyll index	2004
6	Eyers, R. D. ; Mills, J. P. - Subsidence Detection Using Integrated Multi Temporal Airborne Imagery	2004
7	Eyers, R. D. ; Mills, J. P. ; Cutler, M. E. J. - The topographic and spectral expression of mining subsidence	2004
8	Gamon, J. A.; PeÃ±uelas, J.; Field, C. B. - A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency	1992
9	Gitelson, A. A.; Kaufman, Y. J.; Stark, R.; Rundquist, D. - Novel algorithms for remote estimation of vegetation fraction	2002
10	Gitelson, Anatoly A.; Merzlyak, Mark N.; Lichtenthaler, Hartmut K. - Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements Near 700 nm	1996
11	Guyot, G.; Baret, F.; Major, D. J. - High spectral resolution: Determination of specral shifts between the red and the near infrared	1988
12	Hecker, Jeanna Hyde - Investigation of the Relationship between Chlorophyll Concentration and High Spectral Resolution Data of Phragmites australis in Heavy Metal Contaminated Sites	2003
13	Herrmann, I.; Pimstein, A.; Karnieli, A.; Cohen, Y.; Alchanatis, V.; Bonfil, D. J. - LAI assessment of wheat and potato crops by VENÂµS and Sentinel-2 bands	2011
14	Jago, Rosemary A.; Cutler, Mark E. J.; Curran, Paul J. - Estimating Canopy Chlorophyll Concentration from Field and Airborne Spectra	1999
15	Main, Russell; Cho, Moses Azong; Mathieu, Renaud; Oâ€™Kennedy, Martha M.; Ramoelo, Abel; Koch, Susan - An investigation into robust spectral indices for leaf chlorophyll estimation	2011
16	Merton, R. N. - Monitoringcommunityhysteresis using spectralshiftanalysis and the red-edgevegetationstressindex	1998
17	Vogelmann, J.E.; Rock, B.N.; Moss, D.M. - Red Edge Spectral Measurements from Sugar Maple Leaves	1993
18	Zarco-Tejada P.J.; Miller J.R. - Land Cover Mapping at BOREAS using red edge spectral parameters from CASI imagery	1999
19	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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