Application: Agriculture

Agriculture

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Basic information

Name Agriculture
Specific Name
Description

Indices

Nr. Name Formula Variables Comment
1 Atmospherically Resistant Vegetation Index ( NIR - RED - y ( RED - BLUE ) RED - BLUE ) NIR - RED - y ( RED - BLUE ) RED - BLUE NIR = [781:1399]
2 Cellulose Absorption Index 100 ( 0.5 ( 2030nm + 2210nm ) 2030nm + 2210nm ) 0.5 ( 2030nm + 2210nm ) 2030nm + 2210nm
3 Normalized Difference NIR/Red ( NIR - RED ) NIR - RED RED=[670;50;30],NIR=[800;10;10]
4 Leaf Chlorophyll Index ( [850] - [710] ) [850] - [710]
5 Chlorophyll Absorption Ratio Index 700nm 670nm 670nm b=(550nm-((700nm-550nm)/150*550)), a=(700nm-550nm)/150
6 Chlorophyll Index RedEdge 710 750nm 710nm - 1
7 MCARI/MTVI2 ( ( ( 700nm - 670nm ) 700nm - 670nm ) ( 700nm - 670nm ) 700nm - 670nm ) ( ( 700nm - 670nm ) 700nm - 670nm ) ( 700nm - 670nm ) 700nm - 670nm
8 Canopy Chlorophyll Content Index ( ( NIR - rededge ) NIR - rededge ) ( NIR - rededge ) NIR - rededge
9 Normalized Difference Nitrogen Index log ( 1 1510nm ) 1510nm
10 Cellulose absorption index 2 0, 5 ( 2020nm + 2220nm ) 2020nm + 2220nm
11 Chlorophyll Absorption Ratio Index 2 | ( a · [670] + [670] + b ) a · [670] + [670] + b | · [670] + [670] + b a=([700]-[550])/150, b=[550]-(a*[550])
12 Chlorophyll Green [760:800] [540:560] [540:560]
13 Chlorophyll Red-Edge [760:800] [690:720] [690:720]
14 Normalized Difference 800/680 ( 800nm - 680nm ) 800nm - 680nm
15 Ratio of WI and Normalised Difference 750/660 900nm 970nm 970nm
16 Crop water stress index ( C - A ) C - A
17 CASI NDVI ( ( [770:780] + [784:790] ) [770:780] + [784:790] ) ( [770:780] + [784:790] ) [770:780] + [784:790]
18 CASI TM4/3 ( [770:780] + [784:790] ) [770:780] + [784:790]
19 Normalized Difference Vegetation Index 690-710 ( NIR - [690:710] ) NIR - [690:710]
20 Green leaf index ( 2 GREEN - RED - BLUE ) 2 · GREEN - RED - BLUE
21 Chlorophyll vegetation index NIR RED GREEN2
22 Atmospherically Resistant Vegetation Index 2 -0.18 + 1.17 ( ( NIR - RED ) NIR - RED ) ( NIR - RED ) NIR - RED

Sensors

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

References

Nr. Author/Title Year Comment
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2 Bastiaanssen, Wim G. M.; Molden, David J.; Makin, Ian W. - Remote sensing for irrigated agriculture: examples from research and possible applications 2000
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5 Boochs, F.; Kupfer, G.; Dockter, K.; Kühbauch, W. - Shape of the red edge as vitality indicator for plants 1990
6 Brown, R. B.; Noble, S. D. - Site-specific weed management: sensing requirements - what do we need to see? 2005
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8 Carter, Gregory A.; Cibula, William G.; Miller, Richard L. - Narrow-band Reflectance Imagery Compared with ThermalImagery for Early Detection of Plant Stress 1996
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10 Choubey, V. K.; Choubey, R. - Spectral reflectance, growth and chlorophyll relationships for rice crop in a semi-arid region of India 1999
11 Cibula, W. G.; Zetka, E. F.; Rickman, D. L. - Response of thematic mapper bands to plant water stress 1992
12 Clevers, J. G. P. W. - Application of a weighted infrared-red vegetation index for estimating leaf Area Index by Correcting for Soil Moisture 1989
13 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
14 Curran, Paul J. - Remote sensing of foliar chemistry 1989
15 Dang, Y. P.; Pringle, M. J.; Schmidt, M.; Dalal, R. C.; Apan, A. - Identifying the spatial variability of soil constraints using multi-year remote sensing 2011
16 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
17 Daughtry, Craig S. T. - Discriminating crop residues from soil by shortwave infrared reflectance 2001
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 Ehammer, Andrea; Fritsch, Sebastian; Conrad, Christopher; Lamers, John; Dech, Stefan - Statistical derivation of fPAR and LAI for irrigated cotton and rice in arid Uzbekistan by combining multi-temporal RapidEye data and ground measurements 2010
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 Ferencz, C.; Bognar, P.; Lichtenberger, J.; Hamar, D.; Tarscai, G.; Timar, G.; Molnar, G.; Pasztor, S.; Steinbach, P.; Szekely, B.; Ferencz, O. E.; Ferencz-Arkos, I. - Crop yield estimation by satellite remote sensing 2004
23 Galvão, L. S.; Formaggio, A. R.; Tisot, D. A. - The influence of spectral resolution on discriminating Brazilian sugarcane varieties 2006
24 Galvão, Lênio Soares; Formaggio, Antônio Roberto; Tisot, Daniela Arnold - Discrimination of sugarcane varieties in Southeastern Brazil with EO-1 Hyperion data 2005
25 Gitelson, Anatoly A. - Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation 2004
26 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
27 Glenn, E. P.; Nagler, P. L.; Huete, A. R. - Vegetation Index Methods for Estimating Evapotranspiration by Remote Sensing 2010
28 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
29 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
30 Hancock, D. W.; Dougherty, C. T. - Relationships between blue- and red-based vegetation indices and leaf area and yield of alfalfa 2007
31 He, Y.; Guo, X.; Wilmshurst, J. - Comparison of different methods for measuring leaf area index in a mixed grassland 2007
32 Herrmann, I.; Karnieli, A.; Bonfil, D. J.; Cohen, Y.; Alchanatis, V. - SWIR-based spectral indices for assessing nitrogen content in potato fields 2010
33 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
34 Hu, S.; Mo, X. G. - Interpreting spatial heterogeneity of crop yield with a process model and remote sensing 2011
35 Huang, Y.; Lan, Y.; Ge, Y.; Hoffmann, W. C.; Thomson, S. J. - Spatial Modeling and Variability Analysis for Modeling and Prediction of Soil and Crop Canopy Coverage Using Multispectral Imagery from an Airborne Remote Sensing System 2010
36 Hunt Jr, Raymond E.; Rock, Barrett N.; Nobel, Park S. - Measurement of leaf relative water content by infrared reflectance 1987
37 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
38 Jacobsen, Anne; Broge, Niels H.; Hansen, Birger U. - Monitoring wheat fields and grasslands using spectral reflectance data 1995
39 Jago, Rosemary A.; Cutler, Mark E. J.; Curran, Paul J. - Estimating Canopy Chlorophyll Concentration from Field and Airborne Spectra 1999
40 Lee, W. S.; Alchanatis, V.; Yang, C.; Hirafuji, M.; Moshou, D.; Li, C. - Sensing technologies for precision specialty crop production 2010
41 Malthus, Tim J.; Andrieu, Bruno; Danson, F. Mark; Jaggard, Keith W.; Steven, Michael D. - Candidate high spectral resolution infrared indices for crop cover 1993
42 Metternicht, G. - Vegetation indices derived from high-resolution airborne videography for precision crop management 2003
43 Moran, M. S.; Inoue, Y.; Barnes, E. M. - Opportunities and limitations for image-based remote sensing in precision crop management 1997
44 Moulin, S.; Bondeau, A.; Delecolle, R. - Combining agricultural crop models and satellite observations: from field to regional scales 1998
45 Oppelt, N.; Mauser, W. - Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data 2004
46 Pearson, R. L.; Miller, L. D. - Remote mapping of standing crop biomass for estimation of the productivity of the short-grass Prairie, Pawnee National Grasslands, Colorado 1972
47 Peñuelas, J.; Gamon, J. A.; Fredeen, A. L.; Merino, J.; Field, C. B. - Reflectance indices associated with physiological changes in nitrogen- and water-limited sunflower leaves 1994
48 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
49 Richardson, A. J.; Everitt, J. H. - Using spectral vegetation indices to estimate rangeland productivity 1992
50 Richter, K.; Atzberger, C.; Vuolo, F.; Weihs, P.; D’Urso, G. - Experimental assessment of the Sentinel-2 band setting for RTM-based LAI retrieval of sugar beet and maize 2009
51 Riedell, W.E.; Blackmer, T.M. - Leaf reflectance spectra of cereal aphid-damaged wheat 1999
52 Royo, C.; Aparicio, N.; Villegas, D.; Casadesus, J.; Monneveux, P.; Araus, J. L. - Usefulness of spectral reflectance indices as durum wheat yield predictors under contrasting Mediterranean conditions 2003
53 Serrano, Lydia; Filella, Iolanda; Peñuelas, Josep - Remote Sensing of Biomass and Yield of Winter Wheat under Different Nitrogen Supplies 2000
54 Smith, RCG; Adams, J; Stephens, DJ; Hick, PT - Forecasting wheat yield in a Mediterranean-type environment from the NOAA satellite 1995
55 Strachan, Ian B.; Pattey, Elizabeth; Boisvert, Johanne B. - Impact of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance 2002
56 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
57 Tucker, C. J.; Elgin Jr, J. H.; McMurtrey Iii, J. E.; Fan, C. J. - Monitoring corn and soybean crop development with hand-held radiometer spectral data 1979
58 Vogelmann, J.E.; Rock, B.N.; Moss, D.M. - Red Edge Spectral Measurements from Sugar Maple Leaves 1993
59 Wang, Fu-min; Huang, Jing-feng; Tang, Yan-lin; Wang, Xiu-zhen - New Vegetation Index and Its Application in Estimating Leaf Area Index of Rice 2007
60 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
61 Wu, Jindong; Wang, Dong; Bauer, Marvin E. - Assessing broadband vegetation indices and QuickBird data in estimating leaf area index of corn and potato canopies 2007
62 Xie, H.; Tian, Y. Q.; Granillo, J. A.; Keller, G. R. - Suitable remote sensing method and data for mapping and measuring active crop fields 2007
63 Yang, Chenghai; Everitt, James H.; Bradford, Joe M. - Airborne Hyperspectral Imagery and Yield Monitor Data for Mapping Cotton Yield Variability 2004
64 Zarco-Tejada P.J.; Sepulcre-Cantó, G. - REMOTE SENSING OF VEGETATION BIOPHYSICAL PARAMETERS FOR DETECTING STRESS CONDITION AND LAND COVER CHANGES 2007

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