Application: Vegetation Chlorophyll

Vegetation Chlorophyll

Basic information

Name	Vegetation
Specific Name	Chlorophyll
Description

Indices

Nr.	Name	Formula	Variables
1	Simple Ratio 695/760	$\frac{695nm}{760nm}$
2	Simple Ratio NIR/RED	$\frac{NIR}{RED}$
3	Simple Ratio 554/677	$\frac{554nm}{677nm}$
4	Modified Chlorophyll Absorption in Reflectance Index	$((700nm - 670nm) - 0.2 (700nm - 550nm)) (\frac{700nm}{670nm})$
5	Modified Chlorophyll Absorption in Reflectance Index 1	$1.2 (2.5 (800nm - 670nm) - 1.3 (800nm - 550nm))$
6	Modified Chlorophyll Absorption in Reflectance Index 2	$(1.5 \frac{2.5 (800nm - 670nm) - 1.3 (800nm - 550nm)}{\sqrt{{(2 800nm + 1)}^{2} - (6 800nm - 5 \sqrt{670nm}) - 0.5}})$
7	Normalized Difference 415/435	$\frac{415nm - 435nm}{415nm + 435nm}$
8	Normalized Difference 680/430	$\frac{680nm - 430nm}{680nm + 430nm}$
9	Normalized Difference 531/570	$\frac{531nm - 570nm}{531nm + 570nm}$
10	Normalized Difference 528/587	$\frac{528nm - 567nm}{528nm + 567nm}$
11	Normalized Difference 570/531	$\frac{570nm - 531nm}{570nm + 531nm}$
12	Renormalized Difference Vegetation Index	$\frac{800nm - 670nm}{\sqrt{800nm + 670nm}}$
13	Simple Ratio Pigment Index	$\frac{430nm}{680nm}$
14	Structure Intensive Pigment Index 1	$\frac{800nm - 445nm}{800nm - 680nm}$
15	Transformed Chlorophyll Absorbtion Ratio	$3 ((700nm - 670nm) - 0.2 (700nm - 550nm) (\frac{700nm}{670nm}))$
16	Triangular Vegetation Index	$0.5 (120 (750nm - 550nm) - 200 (670nm - 550nm))$
17	Simple Ratio 740/720 hyper	$\frac{740nm}{720nm}$
18	Modified Normalised Difference 734/747/715/726	$\frac{734nm - 747nm}{715nm + 726nm}$
19	Simple Ratio 715/705	$\frac{715nm}{705nm}$
20	Leaf Chlorophyll Index	$\frac{[850] - [710]}{[850] + [680]}$
21	Simple Ratio 800/550	$\frac{800nm}{550nm}$
22	Chlorophyll Index Green	$\frac{NIR}{GREEN} - 1$
23	Chlorophyll IndexRedEdge	$\frac{NIR}{rededge} - 1$
24	Red-Edge Inflection Point 1	$700 + 40 (\frac{(\frac{670nm + 780nm}{2}) - 700nm}{740nm - 700nm})$
25	Red-Edge Inflection Point 2	$702 + 40 (\frac{(\frac{667nm + 782nm}{2}) - 702nm}{742nm - 702nm})$
26	Red-Edge Inflection Point 3	$705 + 35 (\frac{(\frac{665nm + 783nm}{2}) - 705nm}{740nm - 705nm})$
27	Single Band 703	$703nm$
28	Single Band 720	$720nm$
29	Chlorophyll Absorption Ratio Index	$(\frac{700nm}{670nm}) \frac{\sqrt{{(a \cdot 670 + 670nm + b)}^{2}}}{{(a^{2} + 1)}^{0.5}}$	b=(550nm-((700nm-550nm)/150*550)), a=(700nm-550nm)/150
30	Datt1	$\frac{850nm - 710nm}{850nm - 680nm}$
31	Simple Ratio 754/704	$\frac{754nm}{704nm}$
32	Datt4	$\frac{672nm}{550nm \cdot 708nm}$
33	Simple Ratio 672/550	$\frac{672nm}{550nm}$
34	Datt6	$\frac{860nm}{550nm \cdot 708nm}$
35	Double Difference Index	$(749nm - 720nm) - (701nm - 672nm)$
36	Double Peak Index	$\frac{688nm + 710nm}{{697nm}^{2}}$
37	Modified Chlorophyll Absorption Ratio Index 705,750	$((750nm - 705nm) - 0.2 (750nm - 550nm)) (\frac{750nm}{705})$
38	Maccioni	$\frac{780nm - 710nm}{780nm - 680nm}$
39	MERIS Terrestrial chlorophyll index	$\frac{754nm - 709nm}{709nm - 681nm}$
40	Normalized Difference 750/705	$\frac{750nm - 705nm}{750nm + 705nm}$
41	Simple Ratio 800/680	$\frac{800nm}{680nm}$
42	Simple Ratio 750/700	$\frac{750nm}{700nm}$
43	Simple Ratio 750/550	$\frac{750nm}{550nm}$
44	Simple Ratio 700/670	$\frac{700nm}{670nm}$
45	Simple Ratio 675/700	$\frac{675nm}{700nm}$
46	Simple Ratio 750/710	$\frac{750nm}{710nm}$
47	Simple Ratio 440/690	$\frac{440nm}{690nm}$
48	Transformed Chlorophyll Absorbtion Ratio 2	$3 ((750nm - 705nm) - 0, 2 (750nm - 550nm) (\frac{750nm}{705nm}))$
49	Modified Chlorophyll Absorption Ratio Index 710	$((750nm - 710nm) - 0.2 (750nm - 550nm)) (\frac{750nm}{710})$
50	Chlorophyll Index RedEdge 710	$\frac{750nm}{710nm} - 1$
51	MCARI/MTVI2	$\frac{((700nm - 670nm) - 0.2 (700nm - 550nm)) (\frac{700nm}{670nm})}{(1.5 \frac{1.2 (800nm - 550nm) - 2.5 (670nm - 550nm)}{\sqrt{{(2 800nm + 1)}^{2} - (6 800nm - 5 \sqrt{670nm}) - 0.5}})}$
52	Canopy Chlorophyll Content Index	$\frac{\frac{NIR - rededge}{NIR + rededge}}{\frac{NIR - Red}{NIR + Red}}$
53	Simple Ratio 800/500	$\frac{800nm}{500nm}$
54	Simple Ratio 1250/1050	$\frac{1250nm}{1050nm}$
55	Chlorophyll Absorption Ratio Index 2	$(\frac{\| (a \cdot [670] + [670] + b) \|}{{(a^{2} + 1)}^{0.5}}) (\frac{[700]}{[670]})$	a=([700]-[550])/150, b=[550]-(a*[550])
56	Chlorophyll Green	${(\frac{[760:800]}{[540:560]})}^{(-1)}$
57	Chlorophyll Red-Edge	${(\frac{[760:800]}{[690:720]})}^{(-1)}$
58	Normalized Difference 800/680	$\frac{800nm - 680nm}{800nm + 680nm}$
59	Modified Simple Ratio 705/445	$\frac{750nm - 445nm}{705nm - 445nm}$
60	Modified Normalised Difference 750/705	$\frac{750nm - 705nm}{750nm + 705nm - 2 445nm}$
61	Simple Ratio 800/635	$\frac{800nm}{635nm}$
62	Simple Ratio 695/420	$\frac{695nm}{420nm}$
63	Simple Ratio 800/675	$\frac{800nm}{675nm}$
64	Simple Ratio 800/650	$\frac{800nm}{650nm}$
65	Normalized Difference 800/675	$\frac{800nm - 675nm}{800nm + 675nm}$
66	Normalized Difference 800/650	$\frac{800nm - 650nm}{800nm + 650nm}$
67	Normalized Difference 800/500	$\frac{800nm - 500nm}{800nm + 500nm}$
68	Ratio Analysis of Reflectance Spectra A1	$\frac{\frac{675nm}{700nm}}{\frac{r675}{r700}}$
69	Ratio Analysis of Reflectance Spectra B1	$\frac{\frac{675nm}{650nm} \cdot 700nm}{r650 \frac{r700}{r675}}$
70	Ratio Analysis of Reflectance Spectra C1	$\frac{\frac{760nm}{500nm}}{\frac{r760}{r500}}$
71	Structure Intensive Pigment Index 2	$\frac{800nm - 505nm}{800nm - 690nm}$
72	Structure Intensive Pigment Index 3	$\frac{800nm - 470nm}{800nm - 680nm}$
73	Ratio Analysis of Reflectance Spectra C2	$\frac{\frac{760nm}{470nm}}{\frac{r760}{r470}}$
74	Ratio Analysis of Reflectance Spectra C3	$\frac{\frac{800nm}{500nm}}{\frac{r800}{r500}}$
75	Ratio Analysis of Reflectance Spectra C4	$\frac{\frac{800nm}{470nm}}{\frac{r800}{r470}}$
76	Ratio Analysis of Reflectance Spectra B2	$\frac{\frac{680nm}{635nm} \cdot 700nm}{r635 \frac{r700}{r680}}$
77	Ratio Analysis of Reflectance Spectra B3	$\frac{\frac{675nm}{650nm} \cdot 800nm}{r650 \frac{r800}{r675}}$
78	Ratio Analysis of Reflectance Spectra B4	$\frac{\frac{680nm}{635nm} \cdot 800nm}{r635 \frac{r800}{r680}}$
79	Ratio Analysis of Reflectance Spectra A2	$\frac{\frac{680nm}{700nm}}{\frac{r680}{r700}}$
80	Ratio Analysis of Reflectance Spectra A3	$\frac{\frac{675nm}{800nm}}{\frac{r670}{r800}}$
81	Ratio Analysis of Reflectance Spectra A4	$\frac{\frac{680nm}{800nm}}{\frac{r680}{r800}}$
82	Simple Ratio 800/470	$\frac{800nm}{470nm}$
83	Normalized Difference 800/635	$\frac{800nm - 635nm}{800nm - 635nm}$
84	Normalized Difference 800/470	$\frac{800nm - 470nm}{800nm + 470nm}$
85	Single Band 680	$680nm$
86	Single Band 635	$635nm$
87	Single Band 470	$470nm$
88	Single Band 550	$550nm$
89	Modified Normalized Difference 734/747/715/720	$\frac{734nm - 747nm}{715nm - 720nm}$
90	Simple Ratio 750/555	$\frac{750nm}{555nm}$
91	Green leaf index	$\frac{2 GREEN - RED - BLUE}{2 GREEN + RED + BLUE}$
92	Modified Chlorophyll Absorption in Reflectance Index 1510	$((700nm - 1510nm) - 0.2 (700nm - 550nm)) (\frac{700nm}{1510nm})$
93	Chlorophyll vegetation index	$NIR \frac{RED}{{GREEN}^{2}}$
94	Triangular chlorophyll index	$1.2 (700nm - 550nm) - 1.5 (670nm - 550nm) \cdot \sqrt{\frac{700nm}{670nm}}$
95	Simple Ratio 550/800	$\frac{550nm}{800nm}$
96	Difference 800/550	$800nm - 550nm$
97	Ratio 675/700/650	$\frac{675nm}{700nm \cdot 650nm}$
98	Normalized Difference 780/550	$\frac{780nm - 550nm}{780nm + 550nm}$
99	Normalized Difference NIR/Green	$\frac{NIR - GREEN}{NIR + GREEN}$
100	Simple Ratio 700	$\frac{1}{700nm}$
101	Difference 800/680	$800nm - 680nm$
102	Simple Ratio 430/680	$\frac{430nm}{680nm}$
103	Simple Ratio 740/720	$\frac{[734:747]}{[715:726]}$
104	Simple Ratio 715/705	$\frac{[710:720]}{[700:710]}$
105	Simple Ratio 735/710	$\frac{735nm}{[700:710]}$
106	Normalized Difference 925/710	$\frac{925nm−710nm}{925nm + 710nm}$
107	Simple Ratio 706/750	$\frac{706nm}{750nm}$
108	Single Band 430	$430nm$
109	Single Band 460	$460nm$
110	Single Band 640	$640nm$
111	Single Band 660	$660nm$
112	Simple Ratio 683/510	$\frac{683nm}{510nm}$

Sensors

Nr.	Name	Spectral Range	Bands
1	ChrisProbaM1	406-1003	62
2	ChrisProbaM5	438-1036	37
3	LandsatMSS (Landsat1-3)	500-1100	4
4	RapidEye	440-850	5
5	HyMap	429-2493.8	126
6	IKONOS-2	445-900	5
7	EnMap	420-2450	244
8	AVIRIS	355.15-2515	224
9	Orbview-4	450-2450	200
10	Hyperion	349.896-2582.28	242
11	WorldView-2	400-1040	9
12	MERSI	402-12750	20
13	SEVIRI	560-14400	12
14	VIIRS	412-13350	22
15	MSU-MR	500-12500	6
16	DubaiSat-1	420-890	5
17	Resurs-DK1	500-800	4
18	AISA	400-2506.7	498
19	DAIS-7915	400-12600	79
20	HYDICE	400-2500	210
21	AHS	428.5-13140	80
22	GOMOS	250-952	5
23	CASI 550	400-1000	288
24	ARIES-1	400-2587	105
25	ASAS	400-1020	62
26	Pleiades-1	430-950	5
27	PHI	400-1000.35	244
28	CASI spectral	391-905.5	96
29	CASI EG	474.7-789.5	13
30	Daedalus	0-13000	12
31	AVIS	550-994	74
32	Azimuth Systems AZ-16	0-13000	12
33	Deimos-2	420-890	5
34	ChrisProbaM2	406-1036	18
35	ChrisProbaM3	438-1035	18
36	ChrisProbaM4	486-796	18
37	LandsatTM (Landsat4,5)	450-12500	7
38	LandsatETM+ (Landsat7)	450-12500	8
39	ASTER	520-11650	15
40	AVHRR	580-12500	6
41	MODIS	405-14385	36
42	QuickBird	450-900	5
43	SPOT 1-3	500-890	4
44	MERIS	407.5-905	15
45	Kompsat-2	0-900	5
46	GeoEye-1	450-920	5
47	Orbview-1	450-900	5
48	HRSC-A	395-1015	5
49	ChrisProbaM3A	420-910	18
50	ALI	433-2350	10
51	SPOT 4	500-1750	5
52	SPOT 5	480-1750	5
53	Formosat-2	450-900	5
54	ALOS	0-890	6
55	CBERS-1/CBERS-2	450-890	8
56	WorldView-3	400-2365	29
57	SeaWiFS	412-905	8
58	MVISR	430-12200	10
59	VIRR	430-12500	10
60	OCM-2	402-885	8
61	UK-DMC 2	520-900	3
62	Monitor-E	510-900	4
63	CASI_spatial	417-806	11
64	IRS-1D	500-1700	5
65	IRS-1C	500-1700	5
66	Sentinel-2A	433-2280	13
67	VENμS	400-920	12
68	MIPAS	685-2410	5
69	SCIAMACHY	240-2380	15
70	CASI1500	380-1500	288
71	GLI	375-12500	36
72	INSAT-2E	550-12500	6
73	IRS-1A	450-860	4
74	IRS-P2	450-860	4
75	IRS-P3	403-1650	18
76	IRS-1B	450-860	4
77	IRS-P4	402-1700	9
78	MMR	450-2300	7
79	AVNIR	400-920	5
80	Early Bird	450-890	4
81	SIS	450-900	5
82	Resource21	450-1650	6
83	CASI-2 Vegetation	441.53-869.54	12
84	Landsat 8	435-12510	11
85	PROBA-V	440-1635	4
86	SPOT 6	450-890	5
87	SPOT 7	450-890	5
88	CZCS	433-12500	6
89	POLDER 2	443-910	2
90	VISSR	500-12500	3
91	EROS A	500-900	1
92	EROS B	500-900	1
93	AAHIS	390-840	1
94	Borstad CASI	0-946	15
95	GOSAT	700-13200	4
96	Cartosat-2	500-850	1
97	Cartosat-2A	500-850	1
98	Cartosat-2B	500-850	1
99	WIS	0-1000	64
100	MISR	0-880	4
101	POLDER	0-960	8
102	TIMS	0-12200	8
103	SASI600	950-2450	100

References

Nr.	Author/Title	Year
1	Barnes, J. D.; Balaguer, L.; Manrique, E.; Elvira, S.; Davison, A. W. - A Reappraisal of the Use of Dmso for the Extraction and Determination of Chlorophylls-a and Chlorophylls-B in Lichens and Higher-Plants	1992
2	Blackburn, G. A. - Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves	1998
3	Blackburn, George Alan - Hyperspectral remote sensing of plant pigments	2007
4	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
5	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
6	Buschmann, C.; Nagel, E. - In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation	1993
7	Buschmann, Claus - Fernerkundung von Pflanzen - Ausbreitung, Gesundheitszustand und Produktivitfit	1993
8	Carter, Gregory A.; Cibula, William G.; Miller, Richard L. - Narrow-band Reflectance Imagery Compared with ThermalImagery for Early Detection of Plant Stress	1996
9	Chappelle, E.W.; Kim, M.S.; McMurtrey, J.E. - Ratio analysis of reflectance spectra (RARS): an algorithm for the remote estimation of the concentrations of chlorophyll a, chlorophyll b, and carotenoids in soybean leaves	1992
10	Choubey, V. K.; Choubey, R. - Spectral reflectance, growth and chlorophyll relationships for rice crop in a semi-arid region of India	1999
11	Clevers, J. G. P. W.; De Jong, S. M.; Epema, G. F.; Van Der Meer, F. D.; Bakker, W. H.; Skidmore, A. K.; Scholte, K. H. - Derivation of the red edge index using the MERIS standard band setting	2002
12	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
13	Curran, Paul J. - Remote sensing of foliar chemistry	1989
14	Curran, Paul J.; Windham, W. Robert; Gholz, Henry L. - Exploring the relationship between reflectance red edge and chlorophyll concentration in slash pine leaves	1995
15	Dash, J.; Curran, P. J. - The MERIS terrestrial chlorophyll index	2004
16	Datt, Bisun - Remote Sensing of Chlorophyll a, Chlorophyll b, Chlorophyll a+b, and Total Carotenoid Content in Eucalyptus Leaves	1998
17	Daughtry, C. S. T.; Walthall, C. L.; Kim, M. S.; de Colstoun, E. Brown; McMurtrey Iii, J. E. - Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance	2000
18	Dorigo, W. A.; Zurita-Milla, R.; de Wit, A. J. W.; Brazile, J.; Singh, R.; Schaepman, M. E. - A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling	2007
19	Dorigo, Wouter; Gerighausen, Heike - Automatic retrieval of crop characteristics: an example for hyperspectral AHS data from the AgriSAR campaign	2007
20	Eitel, J. U. H.; Long, D. S.; Gessler, P. E.; Smith, A. M. S. - Using insitu measurements to evaluate the new RapidEye™ satellite series for prediction of wheat nitrogen status	2007
21	El-Shikha, D. M.; Barnes, E. M.; Clarke, T. R.; Hunsaker, D. J.; Haberland, J. A.; Pinter, P. J.; Waller, P. M.; Thompson, T. L. - Remote sensing of cotton nitrogen status using the Canopy Chlorophyll Content Index (CCCI)	2008
22	Gamon, J. A.; Surfus, J. S. - Assessing leaf pigment content and activity with a reflectometer	1999
23	Gitelson, A. A.; Merzlyak, M. N. - Remote estimation of chlorophyll content in higher plant leaves	1997
24	Gitelson, Anatoly A.; Buschmann, Claus; Lichtenthaler, Hartmut K. - The Chlorophyll Fluorescence Ratio F735/F700 as an Accurate Measure of the Chlorophyll Content in Plants	1999
25	Gitelson, Anatoly A.; Kaufman, Yoram J.; Merzlyak, Mark N. - Use of a green channel in remote sensing of global vegetation from EOS-MODIS	1996
26	Gitelson, Anatoly A.; Merzlyak, Mark N.; Lichtenthaler, Hartmut K. - Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements Near 700 nm	1996
27	Gitelson, Anatoly A.; Merzlyak, Mark N.; Zur, Y.; Stark, R.; Gritz, U. - Non-destructive and remote sensing techniques for estimation of vegetation status	2001
28	Gitelson, Anatoly A.; Viña, Andrés; Arkebauer, Timothy J.; Rundquist, Donald C.; Keydan, Galina: Leavitt, Bryan - Remote estimation of leaf area index and green leaf biomass in maize canopies	2003
29	Gitelson, Anatoly; Merzlyak, Mark N. - Quantitative estimation of chlorophyll-a using reflectance spectra: Experiments with autumn chestnut and maple leaves	1994
30	Glenn, E. P.; Nagler, P. L.; Huete, A. R. - Vegetation Index Methods for Estimating Evapotranspiration by Remote Sensing	2010
31	Gobron, N.; Pinty, B.; Verstraete, M. M.; Widlowski, J. L. - Advanced vegetation indices optimized for up-coming sensors: Design, performance, and applications	2000
32	González-Sanpedro, MC; Le Toan, T; Moreno, J; Kergoat, L; Rubio, E - Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data	2008
33	Guyot, G.; Baret, F.; Major, D. J. - High spectral resolution: Determination of specral shifts between the red and the near infrared	1988
34	Haboudane, Driss; Miller, John R.; Pattey, Elizabeth; Zarco-Tejada, Pablo J.; Strachan, Ian B. - Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture	2004
35	Haboudane, Driss; Miller, John R.; Tremblay, Nicolas; Zarco-Tejada, Pablo J.; Dextraze, Louise - Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture	2002
36	Hancock, D. W.; Dougherty, C. T. - Relationships between blue- and red-based vegetation indices and leaf area and yield of alfalfa	2007
37	He, Y.; Guo, X.; Wilmshurst, J. - Comparison of different methods for measuring leaf area index in a mixed grassland	2007
38	Hecker, Jeanna Hyde - Investigation of the Relationship between Chlorophyll Concentration and High Spectral Resolution Data of Phragmites australis in Heavy Metal Contaminated Sites	2003
39	Huete, A.; Didan, K.; Miura, T.; Rodriguez, E. P.; Gao, X.; Ferreira, L. G. - Overview of the radiometric and biophysical performance of the MODIS vegetation indices	2002
40	Hunt Jr., E. Raymond; Daughtry, C. S. T.; Eitel, Jan U. H.; Long, D. S. - Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index	2011
41	Jago, Rosemary A.; Cutler, Mark E. J.; Curran, Paul J. - Estimating Canopy Chlorophyll Concentration from Field and Airborne Spectra	1999
42	le Maire, G.; Francois, C.; Dufrene, E. - Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements	2004
43	le Maire, Guerric; François, Christophe; Soudani, Kamel; Berveiller, Daniel; Pontailler, Jean-Yves; Bréda, Nathalie; Genet, Hélène; Davi, Hendrik; Dufrêne, Eric - Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass	2008
44	Maccioni, Andrea; Agati, Giovanni; Mazzinghi, Piero - New vegetation indices for remote measurement of chlorophylls based on leaf directional reflectance spectra	2001
45	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
46	Merzlyak, M. N.; Gitelson, A. A.; Chivkunova, O. B.; Solovchenko, A. E.; Pogosyan, S. I. - Application of Reflectance Spectroscopy for Analysis of Higher Plant Pigments	2003
47	Merzlyak, Mark N.; Gitelson, Anatoly A.; Chivkunova, Olga B.; Rakitin, Victor Y. U. - Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening	1999
48	Penuelas J., Baret F., Filella I. - Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance	1995
49	Peñuelas, J.; Filella, I. - Visible and near-infrared reflectance techniques for diagnosing plant physiological status	1998
50	Peñuelas, Josep; Gamon, John A.; Griffin, Kevin L.; Field, Christopher B. - Assessing community type, plant biomass, pigment composition, and photosynthetic efficiency of aquatic vegetation from spectral reflectance	1993
51	Pinter, P. J.; Hatfield, J. L.; Schepers, J. S.; Barnes, E. M.; Moran, M. S.; Daughtry, C. S. T.; Upchurch, D. R. - Remote sensing for crop management	2003
52	Richardson, Andrew D.; Duigan, Shane P.; Berlyn, Graeme P. - An evaluation of noninvasive methods to estimate foliar chlorophyll content	2002
53	Serrano, Lydia; Filella, Iolanda; Peñuelas, Josep - Remote Sensing of Biomass and Yield of Winter Wheat under Different Nitrogen Supplies	2000
54	Sims, Daniel A.; Gamon, John A. - Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages	2002
55	Strachan, Ian B.; Pattey, Elizabeth; Boisvert, Johanne B. - Impact of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance	2002
56	Wu, Chaoyang; Niu, Zheng; Tang, Quan; Huang, Wenjiang - Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation	2008
57	Wu, Chaoyang; Niu, Zheng; Tang, Quan; Huang, Wenjiang; Rivard, Benoit; Feng, Jilu - Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices	2009
58	Zarco-Tejada P.J.; Sepulcre-Cantó, G. - REMOTE SENSING OF VEGETATION BIOPHYSICAL PARAMETERS FOR DETECTING STRESS CONDITION AND LAND COVER CHANGES	2007
59	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

Export bibliographic references as: BibTeX • RIS (Endnote) • CSV

List of Applications