메뉴 건너뛰기




Volumn 10, Issue 12, 2018, Pages

A comparative assessment of different modeling algorithms for estimating leaf nitrogen content in winter wheat using multispectral images from an unmanned aerial vehicle

Author keywords

LNC; Multispectral imagery; Non parametric regression; Radiative transfer model; UAV; Vegetation index

Indexed keywords

ANTENNAS; CROPS; DECISION TREES; MEAN SQUARE ERROR; NITROGEN; RADIATIVE TRANSFER; REMOTE SENSING; TABLE LOOKUP; UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

EID: 85058886907     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10122026     Document Type: Article
Times cited : (96)

References (60)
  • 1
    • 44449085273 scopus 로고    scopus 로고
    • Application of spectral remote sensing for agronomic decisions
    • Hatfield, J.L.; Gitelson, A.A.; Schepers, J.S.; Walthall, C.L. Application of spectral remote sensing for agronomic decisions. Agron. J. 2008, 100, 117-131
    • (2008) Agron. J , vol.100 , pp. 117-131
    • Hatfield, J.L.1    Gitelson, A.A.2    Schepers, J.S.3    Walthall, C.L.4
  • 3
    • 0141792270 scopus 로고    scopus 로고
    • Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression
    • Hansen, P.M.; Schjoerring, J.K. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sens. Environ. 2003, 86, 542-553
    • (2003) Remote Sens. Environ , vol.86 , pp. 542-553
    • Hansen, P.M.1    Schjoerring, J.K.2
  • 4
    • 80052218922 scopus 로고    scopus 로고
    • Predicting grain protein content of winter wheat based on Landsat TM images and leaf nitrogen content
    • Environment and Transportation Engineering, Nanjing, China, 24-26 June
    • Tan, C.; Guo, W.;Wang, J. Predicting grain protein content of winter wheat based on Landsat TM images and leaf nitrogen content. In Proceedings of the International Conference on Remote Sensing, Environment and Transportation Engineering, Nanjing, China, 24-26 June 2011
    • (2011) Proceedings of the International Conference on Remote Sensing
    • Tan, C.1    Guo, W.2    Wang, J.3
  • 5
    • 34548360492 scopus 로고    scopus 로고
    • Using in-situ measurements to evaluate the new RapidEyeTM satellite series for prediction of wheat nitrogen status
    • Eitel, J.U.H.; Long, D.S.; Gessler, P.E.; Smith, A.M.S. Using in-situ measurements to evaluate the new RapidEyeTM satellite series for prediction of wheat nitrogen status. Int. J. Remote Sens. 2007, 28, 4183-4190
    • (2007) Int. J. Remote Sens , vol.28 , pp. 4183-4190
    • Eitel, J.U.H.1    Long, D.S.2    Gessler, P.E.3    Smith, A.M.S.4
  • 6
    • 85019344733 scopus 로고    scopus 로고
    • Potential of RapidEye and WorldView-2 satellite data for improving rice nitrogen status monitoring at different growth stages
    • Huang, S.; Miao, Y.; Yuan, F.; Gnyp, M.L.; Yao, Y.; Cao, Q.; Wang, H.; Lenz-Wiedemann, V.I.; Bareth, G. Potential of RapidEye and WorldView-2 satellite data for improving rice nitrogen status monitoring at different growth stages. Remote Sens. 2017, 9, 227
    • (2017) Remote Sens , vol.9 , pp. 227
    • Huang, S.1    Miao, Y.2    Yuan, F.3    Gnyp, M.L.4    Yao, Y.5    Cao, Q.6    Wang, H.7    Lenz-Wiedemann, V.I.8    Bareth, G.9
  • 7
    • 0036323088 scopus 로고    scopus 로고
    • Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture
    • Boegh, E.; Soegaard, H.; Broge, N.; Hasager, C.B.; Jensen, N.O.; Schelde, K.; Thomsen, A. Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture. Remote Sens. Environ. 2002, 81, 179-193
    • (2002) Remote Sens. Environ , vol.81 , pp. 179-193
    • Boegh, E.1    Soegaard, H.2    Broge, N.3    Hasager, C.B.4    Jensen, N.O.5    Schelde, K.6    Thomsen, A.7
  • 8
    • 78650175444 scopus 로고    scopus 로고
    • Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground-and space-based hyperspectral reflectance
    • Tian, Y.C.; Yao, X.; Yang, J.; Cao, W.X.; Hannaway, D.B.; Zhu, Y. Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground-and space-based hyperspectral reflectance. Field Crops Res. 2011, 120, 299-310
    • (2011) Field Crops Res , vol.120 , pp. 299-310
    • Tian, Y.C.1    Yao, X.2    Yang, J.3    Cao, W.X.4    Hannaway, D.B.5    Zhu, Y.6
  • 9
    • 84904460985 scopus 로고    scopus 로고
    • Detecting leaf nitrogen content in wheat with canopy hyperspectrum under different soil backgrounds
    • Yao, X.; Ren, H.; Cao, Z.; Tian, Y.; Cao, W.; Zhu, Y.; Cheng, T. Detecting leaf nitrogen content in wheat with canopy hyperspectrum under different soil backgrounds. Int. J. Appl. Earth Obs. Geoinf. 2014, 32, 114-124
    • (2014) Int. J. Appl. Earth Obs. Geoinf , vol.32 , pp. 114-124
    • Yao, X.1    Ren, H.2    Cao, Z.3    Tian, Y.4    Cao, W.5    Zhu, Y.6    Cheng, T.7
  • 10
    • 84939454114 scopus 로고    scopus 로고
    • Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
    • Bendig, J.; Yu, K.; Aasen, H.; Bolten, A.; Bennertz, S.; Broscheit, J.; Gnyp, M.L.; Bareth, G. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. Int. J. Appl. Earth Obs. Geoinf. 2015, 39, 79-87
    • (2015) Int. J. Appl. Earth Obs. Geoinf , vol.39 , pp. 79-87
    • Bendig, J.1    Yu, K.2    Aasen, H.3    Bolten, A.4    Bennertz, S.5    Broscheit, J.6    Gnyp, M.L.7    Bareth, G.8
  • 11
    • 85048987839 scopus 로고    scopus 로고
    • Evaluation of RGB, color-infrared and multispectral images acquired from unmanned aerial systems for the estimation of nitrogen accumulation in rice
    • Zheng, H.; Cheng, T.; Li, D.; Zhou, X.; Yao, X.; Tian, Y.; Cao, W.; Zhu, Y. Evaluation of RGB, color-infrared and multispectral images acquired from unmanned aerial systems for the estimation of nitrogen accumulation in rice. Remote Sens. 2018, 10, 824
    • (2018) Remote Sens , vol.10 , pp. 824
    • Zheng, H.1    Cheng, T.2    Li, D.3    Zhou, X.4    Yao, X.5    Tian, Y.6    Cao, W.7    Zhu, Y.8
  • 12
    • 85038247198 scopus 로고    scopus 로고
    • Estimation of wheat LAI at middle to high levels using unmanned aerial vehicle narrowband multispectral imagery
    • Yao, X.; Wang, N.; Liu, Y.; Cheng, T.; Tian, Y.; Chen, Q.; Zhu, Y. Estimation of wheat LAI at middle to high levels using unmanned aerial vehicle narrowband multispectral imagery. Remote Sens. 2017, 9, 1304
    • (2017) Remote Sens , vol.9 , pp. 1304
    • Yao, X.1    Wang, N.2    Liu, Y.3    Cheng, T.4    Tian, Y.5    Chen, Q.6    Zhu, Y.7
  • 13
    • 85022320211 scopus 로고    scopus 로고
    • Estimation of winter wheat above-ground biomass using unmanned aerial vehicle-based snapshot hyperspectral sensor and crop height improved models
    • Yue, J.; Yang, G.; Li, C.; Li, Z.; Wang, Y.; Feng, H.; Xu, B. Estimation of winter wheat above-ground biomass using unmanned aerial vehicle-based snapshot hyperspectral sensor and crop height improved models. Remote Sens. 2017, 9, 708
    • (2017) Remote Sens , vol.9 , pp. 708
    • Yue, J.1    Yang, G.2    Li, C.3    Li, Z.4    Wang, Y.5    Feng, H.6    Xu, B.7
  • 15
    • 84926506785 scopus 로고    scopus 로고
    • Quantification of rice canopy nitrogen balance index with digital imagery from unmanned aerial vehicle
    • Li, J.; Zhang, F.; Qian, X.; Zhu, Y.; Shen, G. Quantification of rice canopy nitrogen balance index with digital imagery from unmanned aerial vehicle. Remote Sens. Lett. 2015, 6, 183-189
    • (2015) Remote Sens. Lett , vol.6 , pp. 183-189
    • Li, J.1    Zhang, F.2    Qian, X.3    Zhu, Y.4    Shen, G.5
  • 16
    • 58349105791 scopus 로고    scopus 로고
    • Plant nitrogen concentration in paddy rice from field canopy hyperspectral radiometry
    • Stroppiana, D.; Boschetti, M.; Brivio, P.A.; Bocchi, S. Plant nitrogen concentration in paddy rice from field canopy hyperspectral radiometry. Field Crops Res. 2009, 111, 119-129
    • (2009) Field Crops Res , vol.111 , pp. 119-129
    • Stroppiana, D.1    Boschetti, M.2    Brivio, P.A.3    Bocchi, S.4
  • 17
    • 84862826924 scopus 로고    scopus 로고
    • Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat
    • Wang, W.; Yao, X.; Yao, X.; Tian, Y.; Liu, X.; Ni, J.; Cao, W.; Zhu, Y. Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat. Field Crops Res. 2012, 129, 90-98
    • (2012) Field Crops Res , vol.129 , pp. 90-98
    • Wang, W.1    Yao, X.2    Yao, X.3    Tian, Y.4    Liu, X.5    Ni, J.6    Cao, W.7    Zhu, Y.8
  • 18
    • 84986898449 scopus 로고    scopus 로고
    • On the semi-automatic retrieval of biophysical parameters based on spectral index optimization
    • Rivera, J.P.; Verrelst, J.; Delegido, J.; Veroustraete, F.; Moreno, J. On the semi-automatic retrieval of biophysical parameters based on spectral index optimization. Remote Sens. 2014, 6, 4927-4951
    • (2014) Remote Sens , vol.6 , pp. 4927-4951
    • Rivera, J.P.1    Verrelst, J.2    Delegido, J.3    Veroustraete, F.4    Moreno, J.5
  • 19
    • 35548950283 scopus 로고    scopus 로고
    • Analysis of common canopy reflectance spectra for indicating leaf nitrogen concentrations in wheat and rice
    • Zhu, Y.; Tian, Y.; Yao, X.; Liu, X.; Cao, W. Analysis of common canopy reflectance spectra for indicating leaf nitrogen concentrations in wheat and rice. Plant Prod. Sci. 2007, 10, 400-411
    • (2007) Plant Prod. Sci , vol.10 , pp. 400-411
    • Zhu, Y.1    Tian, Y.2    Yao, X.3    Liu, X.4    Cao, W.5
  • 20
    • 84866038390 scopus 로고    scopus 로고
    • Diagnostic mapping of canopy nitrogen content in rice based on hyperspectral measurements
    • Inoue, Y.; Sakaiya, E.; Zhu, Y.; Takahashi, W. Diagnostic mapping of canopy nitrogen content in rice based on hyperspectral measurements. Remote Sens. Environ. 2012, 126, 210-221
    • (2012) Remote Sens. Environ , vol.126 , pp. 210-221
    • Inoue, Y.1    Sakaiya, E.2    Zhu, Y.3    Takahashi, W.4
  • 21
    • 84950161593 scopus 로고    scopus 로고
    • Evaluation of six algorithms to monitor wheat leaf nitrogen concentration
    • Yao, X.; Huang, Y.; Shang, G.; Zhou, C.; Cheng, T.; Tian, Y.; Cao, W.; Zhu, Y. Evaluation of six algorithms to monitor wheat leaf nitrogen concentration. Remote Sens. 2015, 7, 14939-14966
    • (2015) Remote Sens , vol.7 , pp. 14939-14966
    • Yao, X.1    Huang, Y.2    Shang, G.3    Zhou, C.4    Cheng, T.5    Tian, Y.6    Cao, W.7    Zhu, Y.8
  • 22
    • 77955054225 scopus 로고    scopus 로고
    • Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat
    • Atzberger, C.; Guérif, M.; Baret, F.; Werner, W. Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat. Comput. Electron. Agric. 2010, 73, 165-173
    • (2010) Comput. Electron. Agric , vol.73 , pp. 165-173
    • Atzberger, C.1    Guérif, M.2    Baret, F.3    Werner, W.4
  • 23
    • 83455181750 scopus 로고    scopus 로고
    • Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and-3
    • Verrelst, J.; Muñoz, J.; Alonso, L.; Delegido, J.; Rivera, J.P.; Camps-Valls, G.; Moreno, J. Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and-3. Remote Sens. Environ. 2012, 118, 127-139
    • (2012) Remote Sens. Environ , vol.118 , pp. 127-139
    • Verrelst, J.1    Muñoz, J.2    Alonso, L.3    Delegido, J.4    Rivera, J.P.5    Camps-Valls, G.6    Moreno, J.7
  • 24
    • 0028982382 scopus 로고
    • Extraction of vegetation biophysical parameters by inversion of the PROSPECT + SAIL models on sugar beet canopy reflectance data Application to TM and AVIRIS sensors
    • Jacquemoud, S.; Baret, F.; Andrieu, B.; Danson, F.M.; Jaggard, K. Extraction of vegetation biophysical parameters by inversion of the PROSPECT + SAIL models on sugar beet canopy reflectance data. Application to TM and AVIRIS sensors. Remote Sens. Environ. 1995, 52, 163-172
    • (1995) Remote Sens. Environ , vol.52 , pp. 163-172
    • Jacquemoud, S.1    Baret, F.2    Andrieu, B.3    Danson, F.M.4    Jaggard, K.5
  • 25
    • 84929581266 scopus 로고    scopus 로고
    • Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method
    • Liang, L.; Di, L.; Zhang, L.; Deng, M.; Qin, Z.; Zhao, S.; Lin, H. Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method. Remote Sens. Environ. 2015, 165, 123-134
    • (2015) Remote Sens. Environ , vol.165 , pp. 123-134
    • Liang, L.1    Di, L.2    Zhang, L.3    Deng, M.4    Qin, Z.5    Zhao, S.6    Lin, H.7
  • 27
    • 36249003763 scopus 로고    scopus 로고
    • Non-destructive estimation of potato leaf chlorophyll from canopy hyperspectral reflectance using the inverted PROSAIL model
    • Botha, E.J.; Leblon, B.; Zebarth, B.; Watmough, J. Non-destructive estimation of potato leaf chlorophyll from canopy hyperspectral reflectance using the inverted PROSAIL model. Int. J. Appl. Earth Obs. Geoinf. 2007, 9, 360-374
    • (2007) Int. J. Appl. Earth Obs. Geoinf , vol.9 , pp. 360-374
    • Botha, E.J.1    Leblon, B.2    Zebarth, B.3    Watmough, J.4
  • 28
    • 33947502992 scopus 로고    scopus 로고
    • Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings
    • Uddling, J.; Gelang-Alfredsson, J.; Piikki, K.; Pleijel, H. Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings. Photosynth. Res. 2007, 91, 37-46
    • (2007) Photosynth. Res , vol.91 , pp. 37-46
    • Uddling, J.1    Gelang-Alfredsson, J.2    Piikki, K.3    Pleijel, H.4
  • 29
    • 84870707226 scopus 로고    scopus 로고
    • Sensor correction of a 6-band multispectral imaging sensor for UAV remote sensing
    • Kelcey, J.; Lucieer, A. Sensor correction of a 6-band multispectral imaging sensor for UAV remote sensing. Remote Sens. 2012, 4, 1462-1493
    • (2012) Remote Sens , vol.4 , pp. 1462-1493
    • Kelcey, J.1    Lucieer, A.2
  • 30
    • 0032732676 scopus 로고    scopus 로고
    • The use of the empirical line method to calibrate remotely sensed data to reflectance
    • Smith, G.M.; Milton, E.J. The use of the empirical line method to calibrate remotely sensed data to reflectance. Int. J. Remote Sens. 1999, 20, 2653-2662
    • (1999) Int. J. Remote Sens , vol.20 , pp. 2653-2662
    • Smith, G.M.1    Milton, E.J.2
  • 31
    • 0000043946 scopus 로고
    • Derivation of leaf area index from quality of light on the forest floor
    • Jordan, C.F. Derivation of leaf area index from quality of light on the forest floor. Ecology 1969, 50, 663-666
    • (1969) Ecology , vol.50 , pp. 663-666
    • Jordan, C.F.1
  • 32
    • 0018465733 scopus 로고
    • Red and photographic infrared linear combinations for monitoring vegetation
    • Tucker, C.J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 1979, 8, 127-150
    • (1979) Remote Sens. Environ , vol.8 , pp. 127-150
    • Tucker, C.J.1
  • 33
    • 0028975409 scopus 로고
    • Estimating PAR absorbed by vegetation from bidirectional reflectance measurements
    • Roujean, J.L.; Breon, F.M. Estimating PAR absorbed by vegetation from bidirectional reflectance measurements. Remote Sens. Environ. 1995, 51, 375-384
    • (1995) Remote Sens. Environ , vol.51 , pp. 375-384
    • Roujean, J.L.1    Breon, F.M.2
  • 34
    • 0024165401 scopus 로고
    • A soil-adjusted vegetation index (SAVI)
    • Huete, A.R. A soil-adjusted vegetation index (SAVI). Remote Sens. Environ. 1988, 25, 295-309
    • (1988) Remote Sens. Environ , vol.25 , pp. 295-309
    • Huete, A.R.1
  • 35
    • 0029751226 scopus 로고    scopus 로고
    • Optimization of soil-adjusted vegetation indices
    • Rondeaux, G.; Steven, M.; Baret, F. Optimization of soil-adjusted vegetation indices. Remote Sens. Environ. 1996, 55, 95-107
    • (1996) Remote Sens. Environ , vol.55 , pp. 95-107
    • Rondeaux, G.1    Steven, M.2    Baret, F.3
  • 36
    • 33750077576 scopus 로고    scopus 로고
    • A linear model to predict with a multi-spectral radiometer the amount of nitrogen in winter wheat
    • Reyniers, M.; Walvoort, D.J.; De Baardemaaker, J. A linear model to predict with a multi-spectral radiometer the amount of nitrogen in winter wheat. Int. J. Remote Sens. 2006, 27, 4159-4179
    • (2006) Int. J. Remote Sens , vol.27 , pp. 4159-4179
    • Reyniers, M.1    Walvoort, D.J.2    De Baardemaaker, J.3
  • 37
    • 0030231725 scopus 로고    scopus 로고
    • Evaluation of vegetation indices and a modified simple ratio for boreal applications
    • Chen, J.M. Evaluation of vegetation indices and a modified simple ratio for boreal applications. Can. J. Remote Sens. 1996, 22, 229-242
    • (1996) Can. J. Remote Sens , vol.22 , pp. 229-242
    • Chen, J.M.1
  • 38
    • 0036846393 scopus 로고    scopus 로고
    • Overview of the radiometric and biophysical performance of the MODIS vegetation indices
    • 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. Remote Sens. Environ. 2002, 83, 195-213
    • (2002) Remote Sens. Environ , vol.83 , pp. 195-213
    • Huete, A.1    Didan, K.2    Miura, T.3    Rodriguez, E.P.4    Gao, X.5    Ferreira, L.G.6
  • 39
    • 0036330345 scopus 로고    scopus 로고
    • Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
    • Sims, D.A.; Gamon, J.A. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens. Environ. 2002, 81, 337-354
    • (2002) Remote Sens. Environ , vol.81 , pp. 337-354
    • Sims, D.A.1    Gamon, J.A.2
  • 41
    • 0036323544 scopus 로고    scopus 로고
    • Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
    • Haboudane, D.; Miller, J.R.; Tremblay, N.; Zarco-Tejada, P.J.; Dextraze, L. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sens. Environ. 2002, 81, 416-426
    • (2002) Remote Sens. Environ , vol.81 , pp. 416-426
    • Haboudane, D.1    Miller, J.R.2    Tremblay, N.3    Zarco-Tejada, P.J.4    Dextraze, L.5
  • 42
    • 85027931921 scopus 로고    scopus 로고
    • Comparison of different hyperspectral vegetation indices for canopy leaf nitrogen concentration estimation in rice
    • Tian, Y.C.; Gu, K.J.; Chu, X.; Yao, X.; Cao, W.X.; Zhu, Y. Comparison of different hyperspectral vegetation indices for canopy leaf nitrogen concentration estimation in rice. Plant Soil 2014, 376, 193-209
    • (2014) Plant Soil , vol.376 , pp. 193-209
    • Tian, Y.C.1    Gu, K.J.2    Chu, X.3    Yao, X.4    Cao, W.X.5    Zhu, Y.6
  • 43
    • 0035390984 scopus 로고    scopus 로고
    • Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data
    • Zarco-Tejada, P.J.; Miller, J.R.; Noland, T.L.; Mohammed, G.H.; Sampson, P.H. Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data. IEEE Trans. Geosci. Remote Sens. 2001, 39, 1491-1507
    • (2001) IEEE Trans. Geosci. Remote Sens , vol.39 , pp. 1491-1507
    • Zarco-Tejada, P.J.1    Miller, J.R.2    Noland, T.L.3    Mohammed, G.H.4    Sampson, P.H.5
  • 44
    • 10844226641 scopus 로고    scopus 로고
    • The MERIS terrestrial chlorophyll index
    • Dash, J.; Curran, P.J. The MERIS terrestrial chlorophyll index. Int. J. Remote Sens. 2004, 25, 5403-5413
    • (2004) Int. J. Remote Sens , vol.25 , pp. 5403-5413
    • Dash, J.1    Curran, P.J.2
  • 48
    • 85045106242 scopus 로고    scopus 로고
    • Retrieval of winter wheat leaf area index from Chinese GF-1 satellite data using the PROSAIL model
    • Li, H.; Liu, G.; Liu, Q.; Chen, Z.; Huang, C. Retrieval of winter wheat leaf area index from Chinese GF-1 satellite data using the PROSAIL model. Sensors 2018, 18, 1120
    • (2018) Sensors , vol.18 , pp. 1120
    • Li, H.1    Liu, G.2    Liu, Q.3    Chen, Z.4    Huang, C.5
  • 49
    • 84881513198 scopus 로고    scopus 로고
    • Multiple cost functions and regularization options for improved retrieval of leaf chlorophyll content and LAI through inversion of the PROSAIL model
    • Rivera, J.P.; Verrelst, J.; Leonenko, G.; Moreno, J. Multiple cost functions and regularization options for improved retrieval of leaf chlorophyll content and LAI through inversion of the PROSAIL model. Remote Sens. 2013, 5, 3280-3304
    • (2013) Remote Sens , vol.5 , pp. 3280-3304
    • Rivera, J.P.1    Verrelst, J.2    Leonenko, G.3    Moreno, J.4
  • 50
    • 0035478854 scopus 로고    scopus 로고
    • Random Forests
    • Breiman, L. Random Forests. Mach. Learn. 2001, 45, 5-32
    • (2001) Mach. Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 52
    • 77958482900 scopus 로고    scopus 로고
    • Exploring hyperspectral bands and estimation indices for leaf nitrogen accumulation in wheat
    • Yao, X.; Zhu, Y.; Tian, Y.; Feng, W.; Cao, W. Exploring hyperspectral bands and estimation indices for leaf nitrogen accumulation in wheat. Int. J. Appl. Earth Obs. Geoinf. 2010, 12, 89-100
    • (2010) Int. J. Appl. Earth Obs. Geoinf , vol.12 , pp. 89-100
    • Yao, X.1    Zhu, Y.2    Tian, Y.3    Feng, W.4    Cao, W.5
  • 53
    • 37149005956 scopus 로고    scopus 로고
    • Estimating N status of winter wheat using a handheld spectrometer in the North China Plain
    • Li, F.; Gnyp, M.L.; Jia, L.; Miao, Y.; Yu, Z.; Koppe, W.; Zhang, F. Estimating N status of winter wheat using a handheld spectrometer in the North China Plain. Field Crops Res. 2008, 106, 77-85
    • (2008) Field Crops Res , vol.106 , pp. 77-85
    • Li, F.1    Gnyp, M.L.2    Jia, L.3    Miao, Y.4    Yu, Z.5    Koppe, W.6    Zhang, F.7
  • 54
    • 84904462848 scopus 로고    scopus 로고
    • Retrieval of wheat leaf area index from AWiFS multispectral data using canopy radiative transfer simulation
    • Nigam, R.; Bhattacharya, B.K.; Vyas, S.; Oza, M.P. Retrieval of wheat leaf area index from AWiFS multispectral data using canopy radiative transfer simulation. Int. J. Appl. Earth Obs. Geoinf. 2014, 32, 173-185
    • (2014) Int. J. Appl. Earth Obs. Geoinf , vol.32 , pp. 173-185
    • Nigam, R.1    Bhattacharya, B.K.2    Vyas, S.3    Oza, M.P.4
  • 55
    • 0032084065 scopus 로고    scopus 로고
    • Biophysical and biochemical sources of variability in canopy reflectance
    • Asner, G.P. Biophysical and biochemical sources of variability in canopy reflectance. Remote Sens. Environ. 1998, 64, 234-253
    • (1998) Remote Sens. Environ , vol.64 , pp. 234-253
    • Asner, G.P.1
  • 56
    • 84872538235 scopus 로고    scopus 로고
    • Remote sensing of canopy chemistry
    • Ustin, S.L. Remote sensing of canopy chemistry. Proc. Natl. Acad. Sci. USA 2013, 10, 804-805
    • (2013) Proc. Natl. Acad. Sci. USA , vol.10 , pp. 804-805
    • Ustin, S.L.1
  • 57
    • 84961834117 scopus 로고    scopus 로고
    • Random forest in remote sensing: A review of applications and future directions
    • Belgiu, M.; Dragut, L. Random forest in remote sensing: A review of applications and future directions. ISPRS J. Photogramm. Remote Sens. 2016, 114, 24-31
    • (2016) ISPRS J. Photogramm. Remote Sens , vol.114 , pp. 24-31
    • Belgiu, M.1    Dragut, L.2
  • 58
    • 85044178290 scopus 로고    scopus 로고
    • Estimation of leaf traits from reflectance measurements: Comparison between methods based on vegetation indices and several versions of the PROSPECT model
    • Jiang, J.; Comar, A.; Burger, P.; Bancal, P.; Weiss, M.; Baret, F. Estimation of leaf traits from reflectance measurements: Comparison between methods based on vegetation indices and several versions of the PROSPECT model. Plant Methods 2018, 14, 23
    • (2018) Plant Methods , vol.14 , pp. 23
    • Jiang, J.1    Comar, A.2    Burger, P.3    Bancal, P.4    Weiss, M.5    Baret, F.6
  • 59
    • 80455129996 scopus 로고    scopus 로고
    • Use of the Canopy Chlorophyl Content Index (CCCI) for remote estimation of wheat nitrogen content in rainfed environments
    • Cammarano, D.; Fitzgerald, G.; Basso, B.; O'Leary, G.; Chen, D.; Grace, P.; Fiorentino, C. Use of the Canopy Chlorophyl Content Index (CCCI) for remote estimation of wheat nitrogen content in rainfed environments. Agron. J. 2011, 103, 1597-1603
    • (2011) Agron. J , vol.103 , pp. 1597-1603
    • Cammarano, D.1    Fitzgerald, G.2    Basso, B.3    O'Leary, G.4    Chen, D.5    Grace, P.6    Fiorentino, C.7
  • 60
    • 81355147105 scopus 로고    scopus 로고
    • Early detection of canopy nitrogen deficiency in winter wheat (Triticum aestivum L.) based on hyperspectral measurement of canopy chlorophyll status
    • Zhao, C.; Wang, Z.; Wang, J.; Huang, W.; Guo, T. Early detection of canopy nitrogen deficiency in winter wheat (Triticum aestivum L.) based on hyperspectral measurement of canopy chlorophyll status. N. Z. J. Crop Hortic. Sci. 2011, 39, 251-262
    • (2011) N. Z. J. Crop Hortic. Sci , vol.39 , pp. 251-262
    • Zhao, C.1    Wang, Z.2    Wang, J.3    Huang, W.4    Guo, T.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.