22.1.6.15 Wheat Crop Analysis, Production, Detection, Health, Change

Chapter Contents (Back)
Classification. Wheat Classification. Wheat Yield.

Haralick, R.M.[Robert M.], Hlavka, C.A., Carlyle, S.M., and Yokoyama, R.,
The Discrimination of Winter Wheat Using a Growth-State Signature,
RSE(9), 1980, pp. 277-294. BibRef 8000

Sun, C.M.[Chang-Ming], Berman, M.[Mark], Coward, D.[David], Osborne, B.[Brian],
Thickness measurement and crease detection of wheat grains using stereo vision,
PRL(28), No. 12, 1 September 2007, pp. 1501-1508.
Elsevier DOI 0707
Grain thickness measurement; Grain crease detection; Stereo vision BibRef

Hosoi, F.[Fumiki], Omasa, K.[Kenji],
Estimating vertical plant area density profile and growth parameters of a wheat canopy at different growth stages using three-dimensional portable lidar imaging,
PandRS(64), No. 2, March 2009, pp. 151-158.
Elsevier DOI 0903
Carbon stock; Plant area density; Portable scanning lidar; Three-dimensional imaging; Voxel-based canopy profiling BibRef

Koppe, W.[Wolfgang], Gnyp, M.L.[Martin L.], Hennig, S.D.[Simon D.], Li, F.[Fei], Miao, Y.X.[Yu-Xin], Chen, X.P.[Xin-Ping], Jia, L.L.[Liang-Liang], Bareth, G.[Georg],
Multi-Temporal Hyperspectral and Radar Remote Sensing for Estimating Winter Wheat Biomass in the North China Plain,
PFG(2012), No. 3, 2012, pp. 281-298.
WWW Link. 1211
BibRef

Koppe, W.[Wolfgang], Li, F.[Fei], Gnyp, M.L.[Martin L.], Miao, Y.X.[Yu-Xin], Jia, L.L.[Liang-Liang], Chen, X.P.[Xin-Ping], Zhang, F.[Fusuo], Bareth, G.[Georg],
Evaluating Multispectral and Hyperspectral Satellite Remote Sensing Data for Estimating Winter Wheat Growth Parameters at Regional Scale in the North China Plain,
PFG(2010), No. 3, 2010, pp. 167-178.
WWW Link. 1211
BibRef

Meroni, M., Marinho, E., Sghaier, N., Verstrate, M., Leo, O.,
Remote Sensing Based Yield Estimation in a Stochastic Framework: Case Study of Durum Wheat in Tunisia,
RS(5), No. 2, February 2013, pp. 539-557.
DOI Link 1303
BibRef

Lyle, G., Lewis, M., Ostendorf, B.,
Testing the Temporal Ability of Landsat Imagery and Precision Agriculture Technology to Provide High Resolution Historical Estimates of Wheat Yield at the Farm Scale,
RS(5), No. 4, April 2013, pp. 1549-1567.
DOI Link 1305
BibRef

Cammarano, D.[Davide], Fitzgerald, G.J.[Glenn J.], Casa, R.[Raffaele], Basso, B.[Bruno],
Assessing the Robustness of Vegetation Indices to Estimate Wheat N in Mediterranean Environments,
RS(6), No. 4, 2014, pp. 2827-2844.
DOI Link 1405
Nitrogen. BibRef

Li, F.[Fei], Mistele, B.[Bodo], Hu, Y.C.[Yun-Cai], Chen, X.[Xinping], Schmidhalter, U.[Urs],
Optimising three-band spectral indices to assess aerial N concentration, N uptake and aboveground biomass of winter wheat remotely in China and Germany,
PandRS(92), No. 1, 2014, pp. 112-123.
Elsevier DOI 1407
Band selection BibRef

Yuan, L.[Lin], Zhang, J.C.[Jing-Cheng], Shi, Y.[Yeyin], Nie, C.W.[Chen-Wei], Wei, L.G.[Li-Guang], Wang, J.[Jihua],
Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image,
RS(6), No. 5, 2014, pp. 3611-3623.
DOI Link 1407
BibRef

Ashourloo, D.[Davoud], Mobasheri, M.R.[Mohammad Reza], Huete, A.[Alfredo],
Developing Two Spectral Disease Indices for Detection of Wheat Leaf Rust (Pucciniatriticina),
RS(6), No. 6, 2014, pp. 4723-4740.
DOI Link 1407
BibRef

Vincini, M., Amaducci, S., Frazzi, E.,
Empirical Estimation of Leaf Chlorophyll Density in Winter Wheat Canopies Using Sentinel-2 Spectral Resolution,
GeoRS(52), No. 6, June 2014, pp. 3220-3235.
IEEE DOI 1403
BibRef
And: Corrections: GeoRS(52), No. 6, June 2014, pp. 3753-3753.
IEEE DOI 1403
Equations Agriculture BibRef

Ashourloo, D.[Davoud], Mobasheri, M.R.[Mohammad Reza], Huete, A.[Alfredo],
Evaluating the Effect of Different Wheat Rust Disease Symptoms on Vegetation Indices Using Hyperspectral Measurements,
RS(6), No. 6, 2014, pp. 5107-5123.
DOI Link 1407
BibRef

Dempewolf, J.[Jan], Adusei, B.[Bernard], Becker-Reshef, I.[Inbal], Hansen, M.[Matthew], Potapov, P.[Peter], Khan, A.[Ahmad], Barker, B.[Brian],
Wheat Yield Forecasting for Punjab Province from Vegetation Index Time Series and Historic Crop Statistics,
RS(6), No. 10, 2014, pp. 9653-9675.
DOI Link 1411
BibRef

Bendig, J.[Juliane], Bolten, A.[Andreas], Bennertz, S.[Simon], Broscheit, J.[Janis], Eichfuss, S.[Silas], Bareth, G.[Georg],
Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging,
RS(6), No. 11, 2014, pp. 10395-10412.
DOI Link 1412
BibRef

Brocks, S.[Sebastian], Bareth, G.[Georg],
Estimating Barley Biomass with Crop Surface Models from Oblique RGB Imagery,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Burkart, A.[Andreas], Aasen, H.[Helge], Alonso, L.[Luis], Menz, G.[Gunter], Bareth, G.[Georg], Rascher, U.[Uwe],
Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer,
RS(7), No. 1, 2015, pp. 725-746.
DOI Link 1502
BibRef

Hernandez, J.[Javier], Lobos, G.A.[Gustavo A.], Matus, I.[Iván], del Pozo, A.[Alejandro], Silva, P.[Paola], Galleguillos, M.[Mauricio],
Using Ridge Regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes,
RS(7), No. 2, 2015, pp. 2109-2126.
DOI Link 1503
BibRef

Ali, M.[Muhammad], Montzka, C.[Carsten], Stadler, A.[Anja], Menz, G.[Gunter], Thonfeld, F.[Frank], Vereecken, H.[Harry],
Estimation and Validation of RapidEye-Based Time-Series of Leaf Area Index for Winter Wheat in the Rur Catchment (Germany),
RS(7), No. 3, 2015, pp. 2808-2831.
DOI Link 1504
BibRef

Hank, T.B.[Tobias B.], Bach, H.[Heike], Mauser, W.[Wolfram],
Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe,
RS(7), No. 4, 2015, pp. 3934-3965.
DOI Link 1505
BibRef

Chen, P.F.[Peng-Fei],
A Comparison of Two Approaches for Estimating the Wheat Nitrogen Nutrition Index Using Remote Sensing,
RS(7), No. 4, 2015, pp. 4527-4548.
DOI Link 1505
BibRef

Liu, S.[Shishi], Peng, Y.[Yi], Du, W.[Wei], Le, Y.[Yuan], Li, L.[Lu],
Remote Estimation of Leaf and Canopy Water Content in Winter Wheat with Different Vertical Distribution of Water-Related Properties,
RS(7), No. 4, 2015, pp. 4626-4650.
DOI Link 1505
BibRef

Tanaka, S.[Shinya], Kawamura, K.[Kensuke], Maki, M.[Masayasu], Muramoto, Y.[Yasunori], Yoshida, K.[Kazuaki], Akiyama, T.[Tsuyoshi],
Spectral Index for Quantifying Leaf Area Index of Winter Wheat by Field Hyperspectral Measurements: A Case Study in Gifu Prefecture, Central Japan,
RS(7), No. 5, 2015, pp. 5329-5346.
DOI Link 1506
BibRef

Duchemin, B.[Benoit], Fieuzal, R.[Rémy], Rivera, M.A.[Miguel Augustin], Ezzahar, J.[Jamal], Jarlan, L.[Lionel], Rodriguez, J.C.[Julio César], Hagolle, O.[Olivier], Watts, C.[Christopher],
Impact of Sowing Date on Yield and Water Use Efficiency of Wheat Analyzed through Spatial Modeling and FORMOSAT-2 Images,
RS(7), No. 5, 2015, pp. 5951-5979.
DOI Link 1506
BibRef

Gonzalez-Dugo, V.[Victoria], Hernandez, P.[Pilar], Solis, I.[Ignacio], Zarco-Tejada, P.J.[Pablo J.],
Using High-Resolution Hyperspectral and Thermal Airborne Imagery to Assess Physiological Condition in the Context of Wheat Phenotyping,
RS(7), No. 10, 2015, pp. 13586.
DOI Link 1511
BibRef

Jin, X.L.[Xiu-Liang], Yang, G.J.[Gui-Jun], Xu, X.G.[Xin-Gang], Yang, H.[Hao], Feng, H.K.[Hai-Kuan], Li, Z.H.[Zhen-Hai], Shen, J.X.[Jia-Xiao], Lan, Y.B.[Yu-Bin], Zhao, C.J.[Chun-Jiang],
Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and Biomass in Winter Wheat Using HJ and RADARSAR-2 Data,
RS(7), No. 10, 2015, pp. 13251.
DOI Link 1511
BibRef

Siegmann, B.[Bastian], Jarmer, T.[Thomas], Beyer, F.[Florian], Ehlers, M.[Manfred],
The Potential of Pan-Sharpened EnMAP Data for the Assessment of Wheat LAI,
RS(7), No. 10, 2015, pp. 12737.
DOI Link 1511
BibRef

Tilly, N.[Nora], Aasen, H.[Helge], Bareth, G.[George],
Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass,
RS(7), No. 9, 2015, pp. 11449.
DOI Link 1511
BibRef
And: Correction: RS(7), No. 12, 2015, pp. 15878.
DOI Link 1601
BibRef

Yao, X.[Xia], Huang, Y.[Yu], Shang, G.Y.[Gui-Yan], Zhou, C.[Chen], Cheng, T.[Tao], Tian, Y.C.[Yong-Chao], Cao, W.[Weixing], Zhu, Y.[Yan],
Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration,
RS(7), No. 11, 2015, pp. 14939.
DOI Link 1512
BibRef

Jin, N.[Ning], Tao, B.[Bo], Ren, W.[Wei], Feng, M.C.[Mei-Chen], Sun, R.[Rui], He, L.[Liang], Zhuang, W.[Wei], Yu, Q.A.[Qi-Ang],
Mapping Irrigated and Rainfed Wheat Areas Using Multi-Temporal Satellite Data,
RS(8), No. 3, 2016, pp. 207.
DOI Link 1604
BibRef

Liu, L., Liu, X., Wang, Z., Zhang, B.,
Measurement and Analysis of Bidirectional SIF Emissions in Wheat Canopies,
GeoRS(54), No. 5, May 2016, pp. 2640-2651.
IEEE DOI 1604
geophysical techniques BibRef

Boyle, R.D., Corke, F.M.K., Doonan, J.H.,
Automated estimation of tiller number in wheat by ribbon detection,
MVA(27), No. 5, July 2016, pp. 637-646.
Springer DOI 1608
BibRef

Schirrmann, M.[Michael], Giebel, A.[Antje], Gleiniger, F.[Franziska], Pflanz, M.[Michael], Lentschke, J.[Jan], Dammer, K.H.[Karl-Heinz],
Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery,
RS(8), No. 9, 2016, pp. 706.
DOI Link 1610
BibRef

Schirrmann, M.[Michael], Hamdorf, A.[André], Giebel, A.[Antje], Gleiniger, F.[Franziska], Pflanz, M.[Michael], Dammer, K.H.[Karl-Heinz],
Regression Kriging for Improving Crop Height Models Fusing Ultra-Sonic Sensing with UAV Imagery,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Zheng, Y.[Yang], Zhang, M.[Miao], Zhang, X.[Xin], Zeng, H.W.[Hong-Wei], Wu, B.[Bingfang],
Mapping Winter Wheat Biomass and Yield Using Time Series Data Blended from PROBA-V 100- and 300-m S1 Products,
RS(8), No. 10, 2016, pp. 824.
DOI Link 1609
BibRef

Zhang, X.[Xin], Zhang, M.[Miao], Zheng, Y.[Yang], Wu, B.F.[Bing-Fang],
Crop Mapping Using PROBA-V Time Series Data at the Yucheng and Hongxing Farm in China,
RS(8), No. 11, 2016, pp. 915.
DOI Link 1612
BibRef

Jain, M.[Meha], Srivastava, A.K.[Amit K.], Balwinder-Singh, Joon, R.K.[Rajiv K.], McDonald, A.[Andrew], Royal, K.[Keitasha], Lisaius, M.C.[Madeline C.], Lobell, D.B.[David B.],
Mapping Smallholder Wheat Yields and Sowing Dates Using Micro-Satellite Data,
RS(8), No. 10, 2016, pp. 860.
DOI Link 1609
BibRef

Song, X.[Xiao], Feng, W.[Wei], He, L.[Li], Xu, D.Y.[Duan-Yang], Zhang, H.Y.[Hai-Yan], Li, X.[Xiao], Wang, Z.J.[Zhi-Jie], Coburn, C.A.[Craig A.], Wang, C.Y.[Chen-Yang], Guo, T.C.[Tian-Cai],
Examining view angle effects on leaf N estimation in wheat using field reflectance spectroscopy,
PandRS(122), No. 1, 2016, pp. 57-67.
Elsevier DOI 1612
Wheat BibRef

Roosjen, P.P.J.[Peter P.J.], Suomalainen, J.M.[Juha M.], Bartholomeus, H.M.[Harm M.], Clevers, J.G.P.W.[Jan G.P.W.],
Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle: Results for Barley, Winter Wheat, and Potato,
RS(8), No. 11, 2016, pp. 909.
DOI Link 1612
BibRef
Earlier: A2, A1, A3, A4:
Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer Mounted on UAV and a Laboratory Goniometer: Preliminary Results,
UAV-g15(257-259).
DOI Link 1512
BibRef

Roosjen, P.P.J.[Peter P.J.], Suomalainen, J.M.[Juha M.], Bartholomeus, H.M.[Harm M.], Kooistra, L.[Lammert], Clevers, J.G.P.W.[Jan G.P.W.],
Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Li, Z.H.[Zhen-Hai], Wang, J.[Jihua], Xu, X.G.[Xin-Gang], Zhao, C.J.[Chun-Jiang], Jin, X.L.[Xiu-Liang], Yang, G.J.[Gui-Jun], Feng, H.[Haikuan],
Assimilation of Two Variables Derived from Hyperspectral Data into the DSSAT-CERES Model for Grain Yield and Quality Estimation,
RS(7), No. 9, 2015, pp. 12400.
DOI Link 1511
BibRef

Jin, X.L.[Xiu-Liang], Kumar, L.[Lalit], Li, Z.H.[Zhen-Hai], Xu, X.G.[Xin-Gang], Yang, G.J.[Gui-Jun], Wang, J.H.[Ji-Hua],
Estimation of Winter Wheat Biomass and Yield by Combining the AquaCrop Model and Field Hyperspectral Data,
RS(8), No. 12, 2016, pp. 972.
DOI Link 1612
BibRef

Holman, F.H.[Fenner H.], Riche, A.B.[Andrew B.], Michalski, A.[Adam], Castle, M.[March], Wooster, M.J.[Martin J.], Hawkesford, M.J.[Malcolm J.],
High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing,
RS(8), No. 12, 2016, pp. 1031.
DOI Link 1612
BibRef

Qiu, B.W.[Bing-Wen], Luo, Y.H.[Yu-Han], Tang, Z.H.[Zheng-Hong], Chen, C.C.[Chong-Cheng], Lu, D.F.[Di-Fei], Huang, H.Y.[Hong-Yu], Chen, Y.Z.[Yun-Zhi], Chen, N.[Nan], Xu, W.M.[Wei-Ming],
Winter wheat mapping combining variations before and after estimated heading dates,
PandRS(123), No. 1, 2017, pp. 35-46.
Elsevier DOI 1612
Time series analysis BibRef

Zhao, C., Li, H., Li, P., Yang, G., Gu, X., Lan, Y.,
Effect of Vertical Distribution of Crop Structure and Biochemical Parameters of Winter Wheat on Canopy Reflectance Characteristics and Spectral Indices,
GeoRS(55), No. 1, January 2017, pp. 236-247.
IEEE DOI 1701
vegetation BibRef

Goulas, Y.[Yves], Fournier, A.[Antoine], Daumard, F.[Fabrice], Champagne, S.[Sébastien], Ounis, A.[Abderrahmane], Marloie, O.[Olivier], Moya, I.[Ismael],
Gross Primary Production of a Wheat Canopy Relates Stronger to Far Red Than to Red Solar-Induced Chlorophyll Fluorescence,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Dahms, T.[Thorsten], Seissiger, S.[Sylvia], Borg, E.[Erik], Vajen, H.[Hermann], Fichtelmann, B.[Bernd], Conrad, C.[Christopher],
Important Variables of a RapidEye Time Series for Modelling Biophysical Parameters of Winter Wheat,
PFG(2016), No. 5-6, 2016, pp. 285-299.
DOI Link 1703
See also Modelling Biophysical Parameters of Maize Using Landsat 8 Time Series. BibRef

Jin, X.L.[Xiu-Liang], Li, Z.H.[Zhen-Hai], Yang, G.J.[Gui-Jun], Yang, H.[Hao], Feng, H.[Haikuan], Xu, X.G.[Xin-Gang], Wang, J.[Jihua], Li, X.C.[Xin-Chuan], Luo, J.[Juhua],
Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization algorithm,
PandRS(126), No. 1, 2017, pp. 24-37.
Elsevier DOI 1704
Optical spectral vegetation indices (OSVIs) BibRef

Song, X.[Xiaoyu], Yang, G.[Guijun], Yang, C.[Chenghai], Wang, J.[Jihua], Cui, B.[Bei],
Spatial Variability Analysis of Within-Field Winter Wheat Nitrogen and Grain Quality Using Canopy Fluorescence Sensor Measurements,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Du, M.M.[Meng-Meng], Noguchi, N.[Noboru],
Monitoring of Wheat Growth Status and Mapping of Wheat Yield's within-Field Spatial Variations Using Color Images Acquired from UAV-camera System,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Silvestro, P.C.[Paolo Cosmo], Pignatti, S.[Stefano], Pascucci, S.[Simone], Yang, H.[Hao], Li, Z.[Zhenhai], Yang, G.[Guijun], Huang, W.[Wenjiang], Casa, R.[Raffaele],
Estimating Wheat Yield in China at the Field and District Scale from the Assimilation of Satellite Data into the Aquacrop and Simple Algorithm for Yield (SAFY) Models,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Liu, Z.J.[Zheng-Jia], Wu, C.Y.[Chao-Yang], Liu, Y.S.[Yan-Sui], Wang, X.Y.[Xiao-Yue], Fang, B.[Bin], Yuan, W.P.[Wen-Ping], Ge, Q.S.[Quan-Sheng],
Spring green-up date derived from GIMMS3g and SPOT-VGT NDVI of winter wheat cropland in the North China Plain,
PandRS(130), No. 1, 2017, pp. 81-91.
Elsevier DOI 1708
Spring, phenology BibRef

Yue, J.[Jibo], Yang, G.J.[Gui-Jun], Li, C.C.[Chang-Chun], Li, Z.H.[Zhen-Hai], Wang, Y.J.[Yan-Jie], Feng, H.K.[Hai-Kuan], Xu, B.[Bo],
Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Li, H.[He], Chen, Z.X.[Zhong-Xin], Liu, G.H.[Gao-Huan], Jiang, Z.W.[Zhi-Wei], Huang, C.[Chong],
Improving Winter Wheat Yield Estimation from the CERES-Wheat Model to Assimilate Leaf Area Index with Different Assimilation Methods and Spatio-Temporal Scales,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Yue, J.[Jibo], Feng, H.[Haikuan], Yang, G.[Guijun], Li, Z.[Zhenhai],
A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Liu, T.[Tao], Li, R.[Rui], Jin, X.[Xiuliang], Ding, J.F.[Jin-Feng], Zhu, X.[Xinkai], Sun, C.M.[Cheng-Ming], Guo, W.[Wenshan],
Evaluation of Seed Emergence Uniformity of Mechanically Sown Wheat with UAV RGB Imagery,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Yao, X.[Xia], Wang, N.[Ni], Liu, Y.[Yong], Cheng, T.[Tao], Tian, Y.[Yongchao], Chen, Q.[Qi], Zhu, Y.[Yan],
Estimation of Wheat LAI at Middle to High Levels Using Unmanned Aerial Vehicle Narrowband Multispectral Imagery,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Zhou, C.Q.[Cheng-Quan], Liang, D.[Dong], Yang, X.D.[Xiao-Dong], Xu, B.[Bo], Yang, G.[Guijun],
Recognition of Wheat Spike from Field Based Phenotype Platform Using Multi-Sensor Fusion and Improved Maximum Entropy Segmentation Algorithms,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Jin, X.[Xiu], Jie, L.[Lu], Wang, S.[Shuai], Qi, H.J.[Hai Jun], Li, S.W.[Shao Wen],
Classifying Wheat Hyperspectral Pixels of Healthy Heads and Fusarium Head Blight Disease Using a Deep Neural Network in the Wild Field,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Khan, A.[Ahmad], Hansen, M.C.[Matthew C.], Potapov, P.V.[Peter V.], Adusei, B.[Bernard], Pickens, A.[Amy], Krylov, A.[Alexander], Stehman, S.V.[Stephen V.],
Evaluating Landsat and RapidEye Data for Winter Wheat Mapping and Area Estimation in Punjab, Pakistan,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Shi, Y.[Yue], Huang, W.[Wenjiang], González-Moreno, P.[Pablo], Luke, B.[Belinda], Dong, Y.Y.[Ying-Ying], Zheng, Q.[Qiong], Ma, H.Q.[Hui-Qin], Liu, L.[Linyi],
Wavelet-Based Rust Spectral Feature Set (WRSFs): A Novel Spectral Feature Set Based on Continuous Wavelet Transformation for Tracking Progressive Host-Pathogen Interaction of Yellow Rust on Wheat,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Rodrigues, F.A.[Francelino A.], Blasch, G.[Gerald], Defourny, P.[Pierre], Ortiz-Monasterio, J.I.[J. Ivan], Schulthess, U.[Urs], Zarco-Tejada, P.J.[Pablo J.], Taylor, J.A.[James A.], Gérard, B.[Bruno],
Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Hassan, M.A.[Muhammad Adeel], Yang, M.J.[Meng-Jiao], Rasheed, A.[Awais], Jin, X.L.[Xiu-Liang], Xia, X.C.[Xian-Chun], Xiao, Y.G.[Yong-Gui], He, Z.H.[Zhong-Hu],
Time-Series Multispectral Indices from Unmanned Aerial Vehicle Imagery Reveal Senescence Rate in Bread Wheat,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Sui, J.[Juan], Qin, Q.M.[Qi-Ming], Ren, H.Z.[Hua-Zhong], Sun, Y.H.[Yuan-Heng], Zhang, T.Y.[Tian-Yuan], Wang, J.D.[Jian-Dong], Gong, S.H.[Shi-Hong],
Winter Wheat Production Estimation Based on Environmental Stress Factors from Satellite Observations,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Khan, Z.[Zohaib], Chopin, J.[Joshua], Cai, J.[Jinhai], Eichi, V.R.[Vahid-Rahimi], Haefele, S.[Stephan], Miklavcic, S.J.[Stanley J.],
Quantitative Estimation of Wheat Phenotyping Traits Using Ground and Aerial Imagery,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef
And: Erratum: RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Liu, W.W.[Wei-Wei], Huang, J.F.[Jing-Feng], Wei, C.W.[Chuan-Wen], Wang, X.Z.[Xiu-Zhen], Mansaray, L.R.[Lamin R.], Han, J.[Jiahui], Zhang, D.D.[Dong-Dong], Chen, Y.[Yaoliang],
Mapping Water-Logging Damage on Winter Wheat at Parcel Level Using High Spatial Resolution Satellite Data,
PandRS(142), 2018, pp. 243-256.
Elsevier DOI 1807
Winter wheat, Water-logging, Parcel scale, High resolution satellite data, Biophysical parameters See also Mapping Above-Ground Biomass of Winter Oilseed Rape Using High Spatial Resolution Satellite Data at Parcel Scale under Waterlogging Conditions. BibRef

Näsi, R.[Roope], Viljanen, N.[Niko], Kaivosoja, J.[Jere], Alhonoja, K.[Katja], Hakala, T.[Teemu], Markelin, L.[Lauri], Honkavaara, E.[Eija],
Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Jia, M.[Min], Zhu, J.[Jie], Ma, C.C.[Chun-Chen], Alonso, L.[Luis], Li, D.[Dong], Cheng, T.[Tao], Tian, Y.C.[Yong-Chao], Zhu, Y.[Yan], Yao, X.[Xia], Cao, W.X.[Wei-Xing],
Difference and Potential of the Upward and Downward Sun-Induced Chlorophyll Fluorescence on Detecting Leaf Nitrogen Concentration in Wheat,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Liu, J.H.[Jian-Hong], Zhu, W.Q.[Wen-Quan], Atzberger, C.[Clement], Zhao, A.Z.[An-Zhou], Pan, Y.Z.[Yao-Zhong], Huang, X.[Xin],
A Phenology-Based Method to Map Cropping Patterns under a Wheat-Maize Rotation Using Remotely Sensed Time-Series Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Li, Z.H.[Zhen-Hai], Jin, X.L.[Xiu-Liang], Yang, G.J.[Gui-Jun], Drummond, J.[Jane], Yang, H.[Hao], Clark, B.[Beth], Li, Z.H.[Zhen-Hong], Zhao, C.J.[Chun-Jiang],
Remote Sensing of Leaf and Canopy Nitrogen Status in Winter Wheat (Triticum aestivum L.) Based on N-PROSAIL Model,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Becker-Reshef, I.[Inbal], Franch, B.[Belen], Barker, B.[Brian], Murphy, E.[Emilie], Santamaria-Artigas, A.[Andres], Humber, M.[Michael], Skakun, S.[Sergii], Vermote, E.[Eric],
Prior Season Crop Type Masks for Winter Wheat Yield Forecasting: A US Case Study,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Meyer, T.[Thomas], Weihermüller, L.[Lutz], Vereecken, H.[Harry], Jonard, F.[François],
Vegetation Optical Depth and Soil Moisture Retrieved from L-Band Radiometry over the Growth Cycle of a Winter Wheat,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Chen, H.[Hanyue], Huang, W.[Wenjiang], Li, W.[Wang], Niu, Z.[Zheng], Zhang, L.M.[Li-Ming], Xing, S.[Shihe],
Estimation of LAI in Winter Wheat from Multi-Angular Hyperspectral VNIR Data: Effects of View Angles and Plant Architecture,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Kuester, T.[Theres], Spengler, D.[Daniel],
Structural and Spectral Analysis of Cereal Canopy Reflectance and Reflectance Anisotropy,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Liang, L.[Liang], Di, L.P.[Li-Ping], Huang, T.[Ting], Wang, J.H.[Jia-Hui], Lin, L.[Li], Wang, L.J.[Li-Juan], Yang, M.H.[Min-Hua],
Estimation of Leaf Nitrogen Content in Wheat Using New Hyperspectral Indices and a Random Forest Regression Algorithm,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Kanning, M.[Martin], Kühling, I.[Insa], Trautz, D.[Dieter], Jarmer, T.[Thomas],
High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Zhang, Y.[Yao], Qin, Q.M.[Qi-Ming], Ren, H.Z.[Hua-Zhong], Sun, Y.H.[Yuan-Heng], Li, M.Z.[Min-Zan], Zhang, T.Y.[Tian-Yuan], Ren, S.L.[Shi-Long],
Optimal Hyperspectral Characteristics Determination for Winter Wheat Yield Prediction,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Zheng, H.B.[Heng-Biao], Li, W.[Wei], Jiang, J.[Jiale], Liu, Y.[Yong], Cheng, T.[Tao], Tian, Y.C.[Yong-Chao], Zhu, Y.[Yan], Cao, W.X.[Wei-Xing], Zhang, Y.[Yu], Yao, X.[Xia],
A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Hajj, M.E.[Mohammad El], Baghdadi, N.[Nicolas], Bazzi, H.[Hassan], Zribi, M.[Mehrez],
Penetration Analysis of SAR Signals in the C and L Bands for Wheat, Maize, and Grasslands,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Liu, L.Y.[Lin-Yi], Dong, Y.Y.[Ying-Ying], Huang, W.J.[Wen-Jiang], Du, X.P.[Xiao-Ping], Luo, J.[Juhua], Shi, Y.[Yue], Ma, H.[Huiqin],
Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer Learning Method,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

He, L., Coburn, C.A., Wang, Z., Feng, W., Guo, T.,
Reduced Prediction Saturation and View Effects for Estimating the Leaf Area Index of Winter Wheat,
GeoRS(57), No. 3, March 2019, pp. 1637-1652.
IEEE DOI 1903
crops, soil, vegetation mapping, reduced prediction saturation, view effects, leaf area index, winter wheat, vegetation indices, LAI, winter wheat BibRef

Prey, L.[Lukas], Schmidhalter, U.[Urs],
Simulation of satellite reflectance data using high-frequency ground based hyperspectral canopy measurements for in-season estimation of grain yield and grain nitrogen status in winter wheat,
PandRS(149), 2019, pp. 176-187.
Elsevier DOI 1903
Digital agriculture, Phenomics, Spectral resampling, Satellite vegetation indices, Precision farming, Yield prediction BibRef

Yue, J.[Jibo], Yang, G.[Guijun], Tian, Q.J.[Qing-Jiu], Feng, H.[Haikuan], Xu, K.[Kaijian], Zhou, C.Q.[Cheng-Quan],
Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices,
PandRS(150), 2019, pp. 226-244.
Elsevier DOI 1903
Unmanned aerial vehicle, Vegetation indices, Ultrahigh ground-resolution image, Image textures, Reproductive growth stages BibRef

Song, Y.[Yang], Wang, J.[Jing],
Mapping Winter Wheat Planting Area and Monitoring Its Phenology Using Sentinel-1 Backscatter Time Series,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Upreti, D.[Deepak], Huang, W.[Wenjiang], Kong, W.P.[Wei-Ping], Pascucci, S.[Simone], Pignatti, S.[Stefano], Zhou, X.F.[Xian-Feng], Ye, H.[Huichun], Casa, R.[Raffaele],
A Comparison of Hybrid Machine Learning Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

He, Y.H.[Yuan-Huizi], Wang, C.L.[Chang-Lin], Chen, F.[Fang], Jia, H.C.[Hui-Cong], Liang, D.[Dong], Yang, A.[Aqiang],
Feature Comparison and Optimization for 30-M Winter Wheat Mapping Based on Landsat-8 and Sentinel-2 Data Using Random Forest Algorithm,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Zhang, C.M.[Cheng-Ming], Han, Y.J.[Ying-Juan], Li, F.[Feng], Gao, S.[Shuai], Song, D.[Dejuan], Zhao, H.[Hui], Fan, K.[Keqi], Zhang, Y.[Ya'nan],
A New CNN-Bayesian Model for Extracting Improved Winter Wheat Spatial Distribution from GF-2 imagery,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Yue, J.[Jibo], Tian, Q.J.[Qing-Jiu], Dong, X.Y.[Xin-Yu], Xu, K.J.[Kai-Jian], Zhou, C.Q.[Cheng-Quan],
Using Hyperspectral Crop Residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Ma, H.Q.[Hui-Qin], Huang, W.J.[Wen-Jiang], Jing, Y.S.[Yuan-Shu], Yang, C.H.[Cheng-Hai], Han, L.X.[Liang-Xiu], Dong, Y.Y.[Ying-Ying], Ye, H.C.[Hui-Chun], Shi, Y.[Yue], Zheng, Q.[Qiong], Liu, L.[Linyi], Ruan, C.[Chao],
Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Fernandez-Gallego, J.A.[Jose A.], Buchaillot, M.L.[Ma. Luisa], Gutiérrez, N.A.[Nieves Aparicio], Nieto-Taladriz, M.T.[María Teresa], Araus, J.L.[José Luis], Kefauver, S.C.[Shawn C.],
Automatic Wheat Ear Counting Using Thermal Imagery,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Shah, S.H.[Syed Haleem], Angel, Y.[Yoseline], Houborg, R.[Rasmus], Ali, S.[Shawkat], McCabe, M.F.[Matthew F.],
A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Ren, S.[Shilong], Qin, Q.M.[Qi-Ming], Ren, H.Z.[Hua-Zhong], Sui, J.[Juan], Zhang, Y.[Yao],
Heat and Drought Stress Advanced Global Wheat Harvest Timing from 1981-2014,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Cui, B.[Bei], Zhao, Q.[Qianjun], Huang, W.[Wenjiang], Song, X.[Xiaoyu], Ye, H.[Huichun], Zhou, X.F.[Xian-Feng],
A New Integrated Vegetation Index for the Estimation of Winter Wheat Leaf Chlorophyll Content,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Aranguren, M.[Marta], Castellón, A.[Ander], Aizpurua, A.[Ana],
Crop Sensor-Based In-Season Nitrogen Management of Wheat with Manure Application,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Xiong, B.[Biao], Wang, B.[Bo], Xiong, S.[Shengwu], Lin, C.[Chengde], Yuan, X.H.[Xiao-Hui],
3D Morphological Processing for Wheat Spike Phenotypes Using Computed Tomography Images,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Wang, Y.[Yulong], Xu, X.G.[Xin-Gang], Huang, L.[Linsheng], Yang, G.[Guijun], Fan, L.L.[Ling-Ling], Wei, P.F.[Peng-Fei], Chen, G.[Guo],
An Improved CASA Model for Estimating Winter Wheat Yield from Remote Sensing Images,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Danner, M.[Martin], Berger, K.[Katja], Wocher, M.[Matthias], Mauser, W.[Wolfram], Hank, T.[Tobias],
Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Cai, W.[Wenting], Zhao, S.[Shuhe], Wang, Y.[Yamei], Peng, F.[Fanchen], Heo, J.[Joon], Duan, Z.[Zheng],
Estimation of Winter Wheat Residue Coverage Using Optical and SAR Remote Sensing Images,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Yang, Y.[Yanjun], Tao, B.[Bo], Ren, W.[Wei], Zourarakis, D.P.[Demetrio P.], El Masri, B.[Bassil], Sun, Z.G.[Zhi-Gang], Tian, Q.J.[Qing-Jiu],
An Improved Approach Considering Intraclass Variability for Mapping Winter Wheat Using Multitemporal MODIS EVI Images,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Song, Y.[Yang], Wang, J.[Jinfei],
Winter Wheat Canopy Height Extraction from UAV-Based Point Cloud Data with a Moving Cuboid Filter,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Gracia-Romero, A.[Adrian], Kefauver, S.C.[Shawn C.], Fernandez-Gallego, J.A.[Jose A.], Vergara-Díaz, O.[Omar], Nieto-Taladriz, M.T.[María Teresa], Araus, J.L.[José L.],
UAV and Ground Image-Based Phenotyping: A Proof of Concept with Durum Wheat,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Li, F.L.[Fen-Ling], Wang, L.[Li], Liu, J.[Jing], Wang, Y.[Yuna], Chang, Q.R.[Qing-Rui],
Evaluation of Leaf N Concentration in Winter Wheat Based on Discrete Wavelet Transform Analysis,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Guo, L.[Linghui], Gao, J.B.[Jiang-Bo], Hao, C.Y.[Cheng-Yuan], Zhang, L.L.[Lin-Lin], Wu, S.H.[Shao-Hong], Xiao, X.[Xiangming],
Winter Wheat Green-up Date Variation and its Diverse Response on the Hydrothermal Conditions over the North China Plain, Using MODIS Time-Series Data,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Zhang, C.[Chao], Liu, J.[Jiangui], Dong, T.[Taifeng], Pattey, E.[Elizabeth], Shang, J.[Jiali], Tang, M.[Min], Cai, H.[Huanjie], Saddique, Q.[Qaisar],
Coupling Hyperspectral Remote Sensing Data with a Crop Model to Study Winter Wheat Water Demand,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Zhao, H.T.[Hai-Tao], Song, X.[Xiaoyu], Yang, G.[Guijun], Li, Z.[Zhenhai], Zhang, D.[Dongyan], Feng, H.[Haikuan],
Monitoring of Nitrogen and Grain Protein Content in Winter Wheat Based on Sentinel-2A Data,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

He, T.[Tianle], Xie, C.[Chuanjie], Liu, Q.S.[Qing-Sheng], Guan, S.[Shiying], Liu, G.[Gaohuan],
Evaluation and Comparison of Random Forest and A-LSTM Networks for Large-scale Winter Wheat Identification,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Skakun, S.[Sergii], Vermote, E.[Eric], Franch, B.[Belen], Roger, J.C.[Jean-Claude], Kussul, N.[Nataliia], Ju, J.C.[Jun-Chang], Masek, J.[Jeffrey],
Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Prudnikova, E.[Elena], Savin, I.[Igor], Vindeker, G.[Gretelerika], Grubina, P.[Praskovia], Shishkonakova, E.[Ekaterina], Sharychev, D.[David],
Influence of Soil Background on Spectral Reflectance of Winter Wheat Crop Canopy,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Revill, A.[Andrew], Florence, A.[Anna], MacArthur, A.[Alasdair], Hoad, S.P.[Stephen P.], Rees, R.M.[Robert M.], Williams, M.[Mathew],
The Value of Sentinel-2 Spectral Bands for the Assessment of Winter Wheat Growth and Development,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Nasrallah, A.[Ali], Baghdadi, N.[Nicolas], El Hajj, M.[Mohammad], Darwish, T.[Talal], Belhouchette, H.[Hatem], Faour, G.[Ghaleb], Darwich, S.[Salem], Mhawej, M.[Mario],
Sentinel-1 Data for Winter Wheat Phenology Monitoring and Mapping,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Meyer, T.[Thomas], Jagdhuber, T.[Thomas], Piles, M.[María], Fink, A.[Anita], Grant, J.[Jennifer], Vereecken, H.[Harry], Jonard, F.[François],
Estimating Gravimetric Water Content of a Winter Wheat Field from L-Band Vegetation Optical Depth,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Zhang, D.Y.[Dong-Yan], Wang, D.Y.[Dao-Yong], Gu, C.Y.[Chun-Yan], Jin, N.[Ning], Zhao, H.T.[Hai-Tao], Chen, G.[Gao], Liang, H.[Hongyi], Liang, D.[Dong],
Using Neural Network to Identify the Severity of Wheat Fusarium Head Blight in the Field Environment,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Zhu, W.[Wanxue], Sun, Z.G.[Zhi-Gang], Huang, Y.H.[Yao-Huan], Lai, J.B.[Jian-Bin], Li, J.[Jing], Zhang, J.Q.A.[Jun-Qi-Ang], Yang, B.[Bin], Li, B.[Binbin], Li, S.[Shiji], Zhu, K.Y.[Kang-Ying], Li, Y.[Yang], Liao, X.[Xiaohan],
Improving Field-Scale Wheat LAI Retrieval Based on UAV Remote-Sensing Observations and Optimized VI-LUTs,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Bohnenkamp, D.[David], Behmann, J.[Jan], Mahlein, A.K.[Anne-Katrin],
In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Tuvdendorj, B.[Battsetseg], Wu, B.[Bingfang], Zeng, H.W.[Hong-Wei], Batdelger, G.[Gantsetseg], Nanzad, L.[Lkhagvadorj],
Determination of Appropriate Remote Sensing Indices for Spring Wheat Yield Estimation in Mongolia,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Fitzgerald, G.J.[Glenn J.], Perry, E.M.[Eileen M.], Flower, K.C.[Ken C.], Callow, J.N.[J. Nikolaus], Boruff, B.[Bryan], Delahunty, A.[Audrey], Wallace, A.[Ashley], Nuttall, J.[James],
Frost Damage Assessment in Wheat Using Spectral Mixture Analysis,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Zhang, D.[Dongyan], Fang, S.[Shengmei], She, B.[Bao], Zhang, H.[Huihui], Jin, N.[Ning], Xia, H.[Haoming], Yang, Y.[Yuying], Ding, Y.[Yang],
Winter Wheat Mapping Based on Sentinel-2 Data in Heterogeneous Planting Conditions,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Qiu, R.[Ruicheng], Yang, C.[Ce], Moghimi, A.[Ali], Zhang, M.[Man], Steffenson, B.J.[Brian J.], Hirsch, C.D.[Cory D.],
Detection of Fusarium Head Blight in Wheat Using a Deep Neural Network and Color Imaging,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Jiang, J.[Jiale], Cai, W.[Weidi], Zheng, H.[Hengbiao], Cheng, T.[Tao], Tian, Y.[Yongchao], Zhu, Y.[Yan], Ehsani, R.[Reza], Hu, Y.Q.[Yong-Qiang], Niu, Q.[Qingsong], Gui, L.[Lijuan], Yao, X.[Xia],
Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef


Chauhan, S., Darvishzadeh, R., Lu, Y., Stroppiana, D., Boschetti, M., Pepe, M., Nelson, A.,
Wheat Lodging Assessment Using Multispectral UAV Data,
UAV-g19(235-240).
DOI Link 1912
BibRef

Aich, S., Josuttes, A., Ovsyannikov, I., Strueby, K., Ahmed, I., Duddu, H.S., Pozniak, C., Shirtliffe, S., Stavness, I.,
DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning,
WACV18(323-332)
IEEE DOI 1806
crops, deconvolution, feature extraction, image colour analysis, learning (artificial intelligence), regression analysis, Task analysis BibRef

Wellens, J., Sallah, A.H., Tychon, B., Piccard, I., Gobin, A., Curnel, Y., Leclef, A., Goffart, D., Planchon, V., Goffart, J.P., Delloye, C., Defourny, P.,
Assessment of AquaCrop for winter wheat using satellite derived fCover data,
MultiTemp17(1-3)
IEEE DOI 1712
crops, mean square error methods, remote sensing, AquaCrop assessment, AquaCrop plug-in model, Belgium, yield estimate BibRef

Pryzant, R., Ermon, S., Lobell, D.,
Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning,
EarthVision17(1524-1532)
IEEE DOI 1709
Agriculture, Diseases, Monitoring, Remote sensing, Satellites, Spatial, resolution BibRef

Siricharoen, P.[Punnarai], Scotney, B.[Bryan], Morrow, P.[Philip], Parr, G.[Gerard],
Automated Wheat Disease Classification Under Controlled and Uncontrolled Image Acquisition,
ICIAR15(456-464).
Springer DOI 1507
BibRef

Nakanishi, T., Imai, Y., Morita, T., Akamatsu, Y., Odagawa, S., Takeda, T., Kashimura, O.,
Evaluation Of Wheat Growth Monitoring Methods Based On Hyperspectral Data Of Later Grain Filling And Heading Stages In Western Australia,
ISPRS12(XXXIX-B8:295-300).
DOI Link 1209
BibRef

Zhang, H., Chen, H., Zhou, G.,
The Model Of Wheat Yield Forecast Based On Modis-ndvi: A Case Study Of Xinxiang,
AnnalsPRS(I-7), No. 2012, pp. 25-28.
HTML Version. 1209
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d'Andrimont, R.[Raphael], Duveiller, G.[Gregory], Defourny, P.[Pierre],
Exploring the capacity to grasp multi-annual seasonal variability of winter wheat in Continental Climates with MODIS,
MultiTemp11(221-224).
IEEE DOI 1109
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Chacon, M.I.[Mario I.], Manickavasagan, A.[Annamalai], Flores-Tapia, D.[Daniel], Thomas, G.[Gabriel], Jayas, D.S.[Digvir S.],
Segmentation of Wheat Grains in Thermal Images Based on Pulse Coupled Neural Networks,
ICIP07(II: 273-276).
IEEE DOI 0709
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Cataltepe, Z., Cetin, E., Pearson, T.,
Identification of insect damaged wheat kernels using transmittance images,
ICIP04(V: 2917-2920).
IEEE DOI 0505
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Guzman-Arenas, A., Seco, R.M.[Rosa Ma], and Sanchez, V.G.[Victor G.],
Computer Analysis of Images for Crop Identification in Mexico,
TRIIMAS, Vol. 7, no. 135, 1976, UNAM. Crop id - wheat/cotton in NW Mexico; standard classification techniques; spectral signature and set of heuristic functions that the user defines. BibRef 7600

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Pasture, Grassland, Rangeland Analysis and Change .


Last update:Dec 4, 2019 at 17:24:08