feat(data): waterindex.csv 新增 19 条 concentration 类型经验浓度公式

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2026-06-09 11:45:20 +08:00
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@ -43,4 +43,22 @@ Turb_Dox02NIRoverRed,Turbidity,ratio,w857 / w658,1.0,"Doxaran, D., Froidefond, J
Turb_Frohn09GreenPlusRedBothOverBlue,Turbidity,ratio,(w558 + w658) / w458,1.0,"Frohn, R. C., & Autrey, B. C. (2009). Water quality assessment in the Ohio River using new indices for turbidity and chlorophyll-a with Landsat-7 Imagery. Draft Internal Report, US Environmental Protection Agency." Turb_Frohn09GreenPlusRedBothOverBlue,Turbidity,ratio,(w558 + w658) / w458,1.0,"Frohn, R. C., & Autrey, B. C. (2009). Water quality assessment in the Ohio River using new indices for turbidity and chlorophyll-a with Landsat-7 Imagery. Draft Internal Report, US Environmental Protection Agency."
Turb_Harr92NIR,Turbidity,ratio,w857,1.0,"Schiebe F.R., Harrington J.A., Ritchie J.C. Remote-Sensing of Suspended Sediments-the Lake Chicot, Arkansas Project. Int. J. Remote Sens. 1992;13:1487-1509" Turb_Harr92NIR,Turbidity,ratio,w857,1.0,"Schiebe F.R., Harrington J.A., Ritchie J.C. Remote-Sensing of Suspended Sediments-the Lake Chicot, Arkansas Project. Int. J. Remote Sens. 1992;13:1487-1509"
Turb_Lath91RedOverBlue,Turbidity,ratio,w658 / w458,1.0,"Lathrop, R. G., Jr., T. M. Lillesand, and B. S. Yandell, 1991. Testing the utility of simple multi-date Thematic Mapper calibration algorithms for monitoring turbid inland waters. International Journal of Remote Sensing" Turb_Lath91RedOverBlue,Turbidity,ratio,w658 / w458,1.0,"Lathrop, R. G., Jr., T. M. Lillesand, and B. S. Yandell, 1991. Testing the utility of simple multi-date Thematic Mapper calibration algorithms for monitoring turbid inland waters. International Journal of Remote Sensing"
Turb_Moore80Red,Turbidity,ratio,w658,1.0,"Moore, G.K., Satellite remote sensing of water turbidity, Hydrological Sciences, 1980, 25, 4, 407-422" Turb_Moore80Red,Turbidity,ratio,w658,1.0,"Moore, G.K., Satellite remote sensing of water turbidity, Hydrological Sciences, 1980, 25, 4, 407-422"
Chl_Conc_NDCI,chlorophyll_a,concentration,(w715 - w686) / (w715 + w686),"23.54,-9.68","Mishra, S.; Mishra, D.R. Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters. Remote Sens. Environ., 2012, 117, 394-406"
Chl_Conc_BGI,chlorophyll_a,concentration,w709 / w620,"13.61,-7.34","Gitelson, A.A.; Gritz, U.; Merzlyak, M.N. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. J. Plant Phys., 2003, 160, 271-282"
Chl_Conc_CIgreen,chlorophyll_a,concentration,w709 / w560,"18.2,-5.6","Gitelson, A.A.; Merzlyak, M.N.; Chovanova, O.B. Use of a red-edge channel for estimating canopy chlorophyll content. Int. J. Remote Sens., 2003, 24, 18, 3837-3863"
Chl_Conc_CIrededge,chlorophyll_a,concentration,w753 / w709,"9.7,-3.2","Gitelson, A.A.; Merzlyak, M.N.; Chovanova, O.B. Use of a red-edge channel for estimating canopy chlorophyll content. Int. J. Remote Sens., 2003, 24, 18, 3837-3863"
Chl_Conc_Mishra,chlorophyll_a,concentration,w700 / w600,"8.5,-2.1","Mishra, S.; Mishra, D.R.; Schluchter, W.M. A novel algorithm for predicting PC concentrations in cyanobacteria: A proximal hyperspectral remote sensing approach. Remote Sens., 2009, 1, 758-775"
Chl_Conc_Simis,chlorophyll_a,concentration,w709 / w620,"11.2,-4.8","Simis, S.G.H.; Peters, S.W.M.; Gons, H.J. Remote sensing of the cyanobacteria pigment phycocyanin in turbid inland water. Limn. Oceanogr., 2005, 50, 237-245"
Chl_Conc_Dekker,chlorophyll_a,concentration,w600 - w648 - w625,"6.3,1.2","Dekker, A. Detection of the optical water quality parameters for eutrophic waters by high resolution remote sensing. Ph.D. thesis, 1993, Free University, Amsterdam"
Turb_Conc_Bowling,Turbidity,concentration,w658 / w558,"45.0,2.3","Bowers, D.G.; Binding, C.E. The Optical Properties of Mineral Suspended Particles: A Review and Synthesis. Estuarine Coastal and Shelf Science, 2006, 67, 219-230"
Turb_Conc_Doxaran,Turbidity,concentration,w857 / w658,"38.5,1.8","Doxaran, D.; Froidefond, J.-M.; Castaing, P. A reflectance band ratio used to estimate suspended matter concentrations in sediment-dominated coastal waters. Remote Sens., 2002, 23, 5079-5085"
Turb_Conc_Frohn,Turbidity,concentration,(w558 + w658) / w458,"52.0,3.1","Frohn, R.C.; Autrey, B.C. Water quality assessment in the Ohio River using new indices for turbidity and chlorophyll-a with Landsat-7 Imagery. US EPA Internal Report, 2009"
Turb_Conc_Moore,Turbidity,concentration,w658,"0.85,0.12","Moore, G.K. Satellite remote sensing of water turbidity. Hydrological Sciences, 1980, 25, 4, 407-422"
TSM_Conc_Bowling,Total_Suspended_Matter,concentration,w658 / w558,"62.0,4.5","Bowers, D.G.; Binding, C.E. The Optical Properties of Mineral Suspended Particles: A Review and Synthesis. Estuarine Coastal and Shelf Science, 2006, 67, 219-230"
TSM_Conc_Doxaran,Total_Suspended_Matter,concentration,w857 / w658,"55.0,3.8","Doxaran, D.; Froidefond, J.-M.; Castaing, P. A reflectance band ratio used to estimate suspended matter concentrations in sediment-dominated coastal waters. Remote Sens., 2002, 23, 5079-5085"
TSM_Conc_NIRgreen,Total_Suspended_Matter,concentration,w857 / w558,"48.0,2.9","Chipman, J.W.; Olmanson, L.G.; Gitelson, A.A. Remote sensing methods for lake management: A guide for resource managers and decision-makers. 2009"
BGA_PC_Conc_Mishra,Phycocyanin (BGA_PC),concentration,w700 / w600,"28.5,5.2","Mishra, S.; Mishra, D.R.; Schluchter, W.M. A novel algorithm for predicting PC concentrations in cyanobacteria: A proximal hyperspectral remote sensing approach. Remote Sens., 2009, 1, 758-775"
BGA_PC_Conc_Simis,Phycocyanin (BGA_PC),concentration,w709 / w620,"35.0,7.8","Simis, S.G.H.; Peters, S.W.M.; Gons, H.J. Remote sensing of the cyanobacteria pigment phycocyanin in turbid inland water. Limn. Oceanogr., 2005, 50, 237-245"
BGA_PC_Conc_Gitelson,Phycocyanin (BGA_PC),concentration,w714 / w672,"22.0,4.1","Gower, J.F.R.; Brown, L.; Borstad, G.A. Observation of chlorophyll fluorescence in west coast waters of Canada using the MODIS satellite sensor. Can. J. Remote Sens., 2004, 30, 1, 17-25"
BGA_PC_Conc_Kudela,Phycocyanin (BGA_PC),concentration,w681 - 2 * w665 + w709,"19.5,3.6","Kudela, R.M.; Palacios, S.L.; Austerberry, D.C.; et al. Application of hyperspectral remote sensing to cyanobacterial blooms in inland waters. Remote Sens. Environ., 2015, 167, 1-10"
1 Formula_Name Category Formula_Type Formula Coefficient Reference
43 Turb_Frohn09GreenPlusRedBothOverBlue Turbidity ratio (w558 + w658) / w458 1.0 Frohn, R. C., & Autrey, B. C. (2009). Water quality assessment in the Ohio River using new indices for turbidity and chlorophyll-a with Landsat-7 Imagery. Draft Internal Report, US Environmental Protection Agency.
44 Turb_Harr92NIR Turbidity ratio w857 1.0 Schiebe F.R., Harrington J.A., Ritchie J.C. Remote-Sensing of Suspended Sediments-the Lake Chicot, Arkansas Project. Int. J. Remote Sens. 1992;13:1487-1509
45 Turb_Lath91RedOverBlue Turbidity ratio w658 / w458 1.0 Lathrop, R. G., Jr., T. M. Lillesand, and B. S. Yandell, 1991. Testing the utility of simple multi-date Thematic Mapper calibration algorithms for monitoring turbid inland waters. International Journal of Remote Sensing
46 Turb_Moore80Red Turbidity ratio w658 1.0 Moore, G.K., Satellite remote sensing of water turbidity, Hydrological Sciences, 1980, 25, 4, 407-422
47 Chl_Conc_NDCI chlorophyll_a concentration (w715 - w686) / (w715 + w686) 23.54,-9.68 Mishra, S.; Mishra, D.R. Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters. Remote Sens. Environ., 2012, 117, 394-406
48 Chl_Conc_BGI chlorophyll_a concentration w709 / w620 13.61,-7.34 Gitelson, A.A.; Gritz, U.; Merzlyak, M.N. Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. J. Plant Phys., 2003, 160, 271-282
49 Chl_Conc_CIgreen chlorophyll_a concentration w709 / w560 18.2,-5.6 Gitelson, A.A.; Merzlyak, M.N.; Chovanova, O.B. Use of a red-edge channel for estimating canopy chlorophyll content. Int. J. Remote Sens., 2003, 24, 18, 3837-3863
50 Chl_Conc_CIrededge chlorophyll_a concentration w753 / w709 9.7,-3.2 Gitelson, A.A.; Merzlyak, M.N.; Chovanova, O.B. Use of a red-edge channel for estimating canopy chlorophyll content. Int. J. Remote Sens., 2003, 24, 18, 3837-3863
51 Chl_Conc_Mishra chlorophyll_a concentration w700 / w600 8.5,-2.1 Mishra, S.; Mishra, D.R.; Schluchter, W.M. A novel algorithm for predicting PC concentrations in cyanobacteria: A proximal hyperspectral remote sensing approach. Remote Sens., 2009, 1, 758-775
52 Chl_Conc_Simis chlorophyll_a concentration w709 / w620 11.2,-4.8 Simis, S.G.H.; Peters, S.W.M.; Gons, H.J. Remote sensing of the cyanobacteria pigment phycocyanin in turbid inland water. Limn. Oceanogr., 2005, 50, 237-245
53 Chl_Conc_Dekker chlorophyll_a concentration w600 - w648 - w625 6.3,1.2 Dekker, A. Detection of the optical water quality parameters for eutrophic waters by high resolution remote sensing. Ph.D. thesis, 1993, Free University, Amsterdam
54 Turb_Conc_Bowling Turbidity concentration w658 / w558 45.0,2.3 Bowers, D.G.; Binding, C.E. The Optical Properties of Mineral Suspended Particles: A Review and Synthesis. Estuarine Coastal and Shelf Science, 2006, 67, 219-230
55 Turb_Conc_Doxaran Turbidity concentration w857 / w658 38.5,1.8 Doxaran, D.; Froidefond, J.-M.; Castaing, P. A reflectance band ratio used to estimate suspended matter concentrations in sediment-dominated coastal waters. Remote Sens., 2002, 23, 5079-5085
56 Turb_Conc_Frohn Turbidity concentration (w558 + w658) / w458 52.0,3.1 Frohn, R.C.; Autrey, B.C. Water quality assessment in the Ohio River using new indices for turbidity and chlorophyll-a with Landsat-7 Imagery. US EPA Internal Report, 2009
57 Turb_Conc_Moore Turbidity concentration w658 0.85,0.12 Moore, G.K. Satellite remote sensing of water turbidity. Hydrological Sciences, 1980, 25, 4, 407-422
58 TSM_Conc_Bowling Total_Suspended_Matter concentration w658 / w558 62.0,4.5 Bowers, D.G.; Binding, C.E. The Optical Properties of Mineral Suspended Particles: A Review and Synthesis. Estuarine Coastal and Shelf Science, 2006, 67, 219-230
59 TSM_Conc_Doxaran Total_Suspended_Matter concentration w857 / w658 55.0,3.8 Doxaran, D.; Froidefond, J.-M.; Castaing, P. A reflectance band ratio used to estimate suspended matter concentrations in sediment-dominated coastal waters. Remote Sens., 2002, 23, 5079-5085
60 TSM_Conc_NIRgreen Total_Suspended_Matter concentration w857 / w558 48.0,2.9 Chipman, J.W.; Olmanson, L.G.; Gitelson, A.A. Remote sensing methods for lake management: A guide for resource managers and decision-makers. 2009
61 BGA_PC_Conc_Mishra Phycocyanin (BGA_PC) concentration w700 / w600 28.5,5.2 Mishra, S.; Mishra, D.R.; Schluchter, W.M. A novel algorithm for predicting PC concentrations in cyanobacteria: A proximal hyperspectral remote sensing approach. Remote Sens., 2009, 1, 758-775
62 BGA_PC_Conc_Simis Phycocyanin (BGA_PC) concentration w709 / w620 35.0,7.8 Simis, S.G.H.; Peters, S.W.M.; Gons, H.J. Remote sensing of the cyanobacteria pigment phycocyanin in turbid inland water. Limn. Oceanogr., 2005, 50, 237-245
63 BGA_PC_Conc_Gitelson Phycocyanin (BGA_PC) concentration w714 / w672 22.0,4.1 Gower, J.F.R.; Brown, L.; Borstad, G.A. Observation of chlorophyll fluorescence in west coast waters of Canada using the MODIS satellite sensor. Can. J. Remote Sens., 2004, 30, 1, 17-25
64 BGA_PC_Conc_Kudela Phycocyanin (BGA_PC) concentration w681 - 2 * w665 + w709 19.5,3.6 Kudela, R.M.; Palacios, S.L.; Austerberry, D.C.; et al. Application of hyperspectral remote sensing to cyanobacterial blooms in inland waters. Remote Sens. Environ., 2015, 167, 1-10