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DOI Link
1902
BibRef
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Coburn, C.A.,
Wang, Z.,
Feng, W.,
Guo, T.,
Reduced Prediction Saturation and View Effects for Estimating the
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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
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Yang, G.J.[Gui-Jun],
Tian, Q.J.[Qing-Jiu],
Feng, H.K.[Hai-Kuan],
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PandRS(150), 2019, pp. 226-244.
Elsevier DOI
1903
Unmanned aerial vehicle, Vegetation indices,
Ultrahigh ground-resolution image, Image textures,
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RS(11), No. 4, 2019, pp. xx-yy.
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BibRef
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A Comparison of Hybrid Machine Learning Algorithms for the Retrieval
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RS(11), No. 5, 2019, pp. xx-yy.
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1903
BibRef
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Feature Comparison and Optimization for 30-M Winter Wheat Mapping
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RS(11), No. 5, 2019, pp. xx-yy.
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1903
BibRef
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A New CNN-Bayesian Model for Extracting Improved Winter Wheat Spatial
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RS(11), No. 6, 2019, pp. xx-yy.
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1903
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Using Hyperspectral Crop Residue Angle Index to Estimate Maize and
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RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
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Dong, Y.Y.[Ying-Ying],
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Ruan, C.[Chao],
Integrating Growth and Environmental Parameters to Discriminate
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1904
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Araus, J.L.[José Luis],
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Automatic Wheat Ear Counting Using Thermal Imagery,
RS(11), No. 7, 2019, pp. xx-yy.
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1904
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1905
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Agriculture, Machine learning, Actual yield, Yield Gap,
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Landsat, Crop yield, Gross primary productivity, Crop variety, Light use efficiency
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Soil moisture, Soil measurements, Synthetic aperture radar,
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2008
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Sun, J.[Jing],
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Spatiotemporal Dynamics of the Northern Limit of Winter Wheat in
China Using MODIS Time Series Images,
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2008
BibRef
Vavlas, N.C.[Nikolaos-Christos],
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Burgess, P.J.[Paul J.],
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Richter, G.M.[Goetz M.],
Deriving Wheat Crop Productivity Indicators Using Sentinel-1 Time
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2008
BibRef
Zhou, X.F.[Xian-Feng],
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Chen, D.M.[Dong-Mei],
Huang, Y.B.[Yan-Bo],
Kong, W.P.[Wei-Ping],
Yuan, L.[Lin],
Ye, H.C.[Hui-Chun],
Huang, W.J.[Wen-Jiang],
Assessment of Leaf Chlorophyll Content Models for Winter Wheat Using
Landsat-8 Multispectral Remote Sensing Data,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Upreti, D.[Deepak],
Pignatti, S.[Stefano],
Pascucci, S.[Simone],
Tolomio, M.[Massimo],
Huang, W.J.[Wen-Jiang],
Casa, R.[Raffaele],
Bayesian Calibration of the Aquacrop-OS Model for Durum Wheat by
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2008
BibRef
Lang, T.T.[Ting-Ting],
Yang, Y.Z.[Yan-Zhao],
Jia, K.[Kun],
Zhang, C.[Chao],
You, Z.[Zhen],
Liang, Y.B.[Yu-Bin],
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Remotely-Sensed Imagery and Process-Based Model Simulations,
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DOI Link
2009
BibRef
Aranguren, M.[Marta],
Castellón, A.[Ander],
Aizpurua, A.[Ana],
Wheat Yield Estimation with NDVI Values Using a Proximal Sensing Tool,
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DOI Link
2009
BibRef
Cicuéndez, V.[Víctor],
Rodríguez-Rastrero, M.[Manuel],
Recuero, L.[Laura],
Huesca, M.[Margarita],
Schmid, T.[Thomas],
Inclán, R.[Rosa],
Litago, J.[Javier],
Sánchez-Girón, V.[Víctor],
Palacios-Orueta, A.[Alicia],
First Insights on Soil Respiration Prediction across the Growth
Stages of Rainfed Barley Based on Simulated MODIS and Sentinel-2
Spectral Indices,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Wang, S.[Shuai],
Chen, J.[Jin],
Rao, Y.H.[Yu-Han],
Liu, L.C.[Li-Cong],
Wang, W.Q.[Wen-Qing],
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Response of winter wheat to spring frost from a remote sensing
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Elsevier DOI
2009
Spring frost, Winter wheat, Damage assessment, Remote sensing, North China
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Zhu, K.Y.[Kang-Ying],
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Zhao, F.H.[Feng-Hua],
Yang, T.[Ting],
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Lai, J.B.[Jian-Bin],
Long, B.[Buju],
Li, S.[Shiji],
Remotely sensed canopy resistance model for analyzing the stomatal
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PandRS(168), 2020, pp. 197-207.
Elsevier DOI
2009
Remote sensing model, Canopy resistance, Stomatal behavior,
Dry-hot wind stress, Salt stress, Winter wheat
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Nutrient Prediction for Tef (Eragrostis tef) Plant and Grain with
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2009
BibRef
Flynn, K.C.[K. Colton],
Lee, T.[Trey],
Endale, D.[Dinku],
Franzluebbers, A.[Alan],
Ma, S.F.[Sheng-Fang],
Zhou, Y.T.[Yu-Ting],
Assessing Remote Sensing Vegetation Index Sensitivities for Tall
Fescue (Schedonorus arundinaceus) Plant Health with Varying Endophyte
and Fertilizer Types: A Case for Improving Poultry Manuresheds,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Zhuo, W.[Wen],
Huang, J.X.[Jian-Xi],
Gao, X.R.[Xin-Ran],
Ma, H.Y.[Hong-Yuan],
Huang, H.[Hai],
Su, W.[Wei],
Meng, J.[Jihua],
Li, Y.[Ying],
Chen, H.L.[Huai-Liang],
Yin, D.Q.[Dong-Qin],
Prediction of Winter Wheat Maturity Dates through Assimilating
Remotely Sensed Leaf Area Index into Crop Growth Model,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Zhuo, W.[Wen],
Huang, H.[Hai],
Gao, X.R.[Xin-Ran],
Li, X.C.[Xue-Cao],
Huang, J.X.[Jian-Xi],
An Improved Approach of Winter Wheat Yield Estimation by Jointly
Assimilating Remotely Sensed Leaf Area Index and Soil Moisture into
the WOFOST Model,
RS(15), No. 7, 2023, pp. 1825.
DOI Link
2304
BibRef
Sapkota, B.[Bishwa],
Singh, V.[Vijay],
Neely, C.[Clark],
Rajan, N.[Nithya],
Bagavathiannan, M.[Muthukumar],
Detection of Italian Ryegrass in Wheat and Prediction of Competitive
Interactions Using Remote-Sensing and Machine-Learning Techniques,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Weiß, T.[Thomas],
Ramsauer, T.[Thomas],
Löw, A.[Alexander],
Marzahn, P.[Philip],
Evaluation of Different Radiative Transfer Models for Microwave
Backscatter Estimation of Wheat Fields,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Chen, P.F.[Peng-Fei],
Estimation of Winter Wheat Grain Protein Content Based on Multisource
Data Assimilation,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Song, Y.[Yang],
Wang, J.[Jing],
Wang, L.X.[Li-Xin],
Satellite Solar-Induced Chlorophyll Fluorescence Reveals Heat Stress
Impacts on Wheat Yield in India,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Huang, X.[Xin],
Zhu, W.Q.[Wen-Quan],
Wang, X.Y.[Xiao-Ying],
Zhan, P.[Pei],
Liu, Q.F.[Qiu-Feng],
Li, X.Y.[Xue-Ying],
Sun, L.X.[Li-Xin],
A Method for Monitoring and Forecasting the Heading and Flowering
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RS(12), No. 21, 2020, pp. xx-yy.
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2011
BibRef
Tian, H.F.[Hai-Feng],
Pei, J.[Jie],
Huang, J.X.[Jian-Xi],
Li, X.C.[Xue-Cao],
Wang, J.[Jian],
Zhou, B.Y.[Bo-Yan],
Qin, Y.C.[Yao-Chen],
Wang, L.[Li],
Garlic and Winter Wheat Identification Based on Active and Passive
Satellite Imagery and the Google Earth Engine in Northern China,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Shawon, A.R.[Ashifur Rahman],
Ko, J.[Jonghan],
Jeong, S.[Seungtaek],
Shin, T.[Taehwan],
Lee, K.D.[Kyung Do],
Shim, S.I.[Sang In],
Two-Dimensional Simulation of Barley Growth and Yield Using a Model
Integrated with Remote-Controlled Aerial Imagery,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Aharon, S.[Shlomi],
Peleg, Z.[Zvi],
Argaman, E.[Eli],
Ben-David, R.[Roi],
Lati, R.N.[Ran N.],
Image-Based High-Throughput Phenotyping of Cereals Early Vigor and
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RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Das, S.[Sumanta],
Christopher, J.[Jack],
Apan, A.[Armando],
Roy Choudhury, M.[Malini],
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Dang, Y.P.[Yash P.],
UAV-Thermal imaging and agglomerative hierarchical clustering
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PandRS(173), 2021, pp. 221-237.
Elsevier DOI
2102
Canopy temperature, Plant water stress, Vegetation indices,
Agglomerative hierarchical clustering, Wheat genotypes, Sodic soil
BibRef
Bates, J.S.[Jordan Steven],
Montzka, C.[Carsten],
Schmidt, M.[Marius],
Jonard, F.[François],
Estimating Canopy Density Parameters Time-Series for Winter Wheat
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RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Fu, Y.Y.[Yuan-Yuan],
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Li, Z.H.[Zhen-Hong],
Xu, X.G.[Xin-Gang],
Feng, H.K.[Hai-Kuan],
Zhao, C.J.[Chun-Jiang],
Improved Estimation of Winter Wheat Aboveground Biomass Using
Multiscale Textures Extracted from UAV-Based Digital Images and
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RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Gorrab, A.[Azza],
Ameline, M.[Maël],
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Baup, F.[Frédéric],
Use of Sentinel-1 Multi-Configuration and Multi-Temporal Series for
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RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Marino, S.[Stefano],
Alvino, A.[Arturo],
Vegetation Indices Data Clustering for Dynamic Monitoring and
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RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Liu, Y.[Yu],
Hatou, K.[Kenji],
Aihara, T.[Takanori],
Kurose, S.[Sakuya],
Akiyama, T.[Tsutomu],
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A Robust Vegetation Index Based on Different UAV RGB Images to
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RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Sadeghi-Tehran, P.[Pouria],
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A Neural Network Method for Classification of Sunlit and Shaded
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RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Bhandari, M.[Mahendra],
Baker, S.[Shannon],
Rudd, J.C.[Jackie C.],
Ibrahim, A.M.H.[Amir M. H.],
Chang, A.[Anjin],
Xue, Q.W.[Qing-Wu],
Jung, J.H.[Jin-Ha],
Landivar, J.[Juan],
Auvermann, B.[Brent],
Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned
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RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Li, F.J.[Fang-Jie],
Ren, J.Q.[Jian-Qiang],
Wu, S.R.[Shang-Rong],
Zhao, H.W.[Hong-Wei],
Zhang, N.D.[Ning-Dan],
Comparison of Regional Winter Wheat Mapping Results from Different
Similarity Measurement Indicators of NDVI Time Series and Their
Optimized Thresholds,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Rufo, R.[Rubén],
Soriano, J.M.[Jose Miguel],
Villegas, D.[Dolors],
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Bellvert, J.[Joaquim],
Using Unmanned Aerial Vehicle and Ground-Based RGB Indices to Assess
Agronomic Performance of Wheat Landraces and Cultivars in a
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RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Zhang, W.M.[Wen-Min],
Brandt, M.[Martin],
Prishchepov, A.V.[Alexander V.],
Li, Z.F.[Zhao-Fu],
Lyu, C.G.[Chun-Guang],
Fensholt, R.[Rasmus],
Mapping the Dynamics of Winter Wheat in the North China Plain from
Dense Landsat Time Series (1999 to 2019),
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Raya-Sereno, M.D.[María D.],
Ortiz-Monasterio, J.I.[J. Ivan],
Alonso-Ayuso, M.[María],
Rodrigues, F.A.[Francelino A.],
Rodríguez, A.A.[Arlet A.],
González-Perez, L.[Lorena],
Quemada, M.[Miguel],
High-Resolution Airborne Hyperspectral Imagery for Assessing Yield,
Biomass, Grain N Concentration, and N Output in Spring Wheat,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Dandrifosse, S.[Sébastien],
Carlier, A.[Alexis],
Dumont, B.[Benjamin],
Mercatoris, B.[Benoît],
Registration and Fusion of Close-Range Multimodal Wheat Images in
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RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Ayari, E.[Emna],
Kassouk, Z.[Zeineb],
Lili-Chabaane, Z.[Zohra],
Baghdadi, N.[Nicolas],
Bousbih, S.[Safa],
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Cereal Crops Soil Parameters Retrieval Using L-Band ALOS-2 and C-Band
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RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Wu, B.[Bin],
Huang, W.J.[Wen-Jiang],
Ye, H.[Huichun],
Luo, P.[Peilei],
Ren, Y.[Yu],
Kong, W.P.[Wei-Ping],
Using Multi-Angular Hyperspectral Data to Estimate the Vertical
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RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
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Pour, M.K.[Majid Khak],
Fotouhi, R.[Reza],
Hucl, P.[Pierre],
Zhang, Q.W.[Qian-Wei],
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RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Qu, C.[Chang],
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A spectral index for winter wheat mapping using multi-temporal
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PandRS(175), 2021, pp. 431-447.
Elsevier DOI
2105
Winter wheat mapping, Multi-temporal Landsat NDVI,
Winter wheat index (WWI), Growth stages
BibRef
Li, S.L.[Shi-Lei],
Li, F.J.[Fang-Jie],
Gao, M.F.[Mao-Fang],
Li, Z.L.[Zhao-Liang],
Leng, P.[Pei],
Duan, S.[Sibo],
Ren, J.Q.[Jian-Qiang],
A New Method for Winter Wheat Mapping Based on Spectral
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RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Zhao, F.[Fa],
Yang, G.J.[Gui-Jun],
Yang, X.D.[Xiao-Dong],
Cen, H.Y.[Hai-Yan],
Zhu, Y.O.[Ya-Ohui],
Han, S.Y.[Shao-Yu],
Yang, H.[Hao],
He, Y.[Yong],
Zhao, C.J.[Chun-Jiang],
Determination of Key Phenological Phases of Winter Wheat Based on the
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RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Wu, X.C.[Xiao-Cui],
Xiao, X.M.[Xiang-Ming],
Steiner, J.[Jean],
Yang, Z.W.[Zheng-Wei],
Qin, Y.W.[Yuan-Wei],
Wang, J.[Jie],
Spatiotemporal Changes of Winter Wheat Planted and Harvested Areas,
Photosynthesis and Grain Production in the Contiguous United States
from 2008-2018,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
de Camargo, T.[Tibor],
Schirrmann, M.[Michael],
Landwehr, N.[Niels],
Dammer, K.H.[Karl-Heinz],
Pflanz, M.[Michael],
Optimized Deep Learning Model as a Basis for Fast UAV Mapping of Weed
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RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Jenal, A.[Alexander],
Hüging, H.[Hubert],
Ahrends, H.E.[Hella Ellen],
Bolten, A.[Andreas],
Bongartz, J.[Jens],
Bareth, G.[Georg],
Investigating the Potential of a Newly Developed UAV-Mounted
VNIR/SWIR Imaging System for Monitoring Crop Traits: A Case Study for
Winter Wheat,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Shiff, S.[Shilo],
Lensky, I.M.[Itamar M.],
Bonfil, D.J.[David J.],
Using Satellite Data to Optimize Wheat Yield and Quality under
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RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Shen, J.X.[Jian-Xiu],
Evans, F.H.[Fiona H.],
The Potential of Landsat NDVI Sequences to Explain Wheat Yield
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RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Romano, E.[Elio],
Bergonzoli, S.[Simone],
Pecorella, I.[Ivano],
Bisaglia, C.[Carlo],
de Vita, P.[Pasquale],
Methodology for the Definition of Durum Wheat Yield Homogeneous Zones
by Using Satellite Spectral Indices,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Weiß, T.[Thomas],
Ramsauer, T.[Thomas],
Jagdhuber, T.[Thomas],
Löw, A.[Alexander],
Marzahn, P.[Philip],
Sentinel-1 Backscatter Analysis and Radiative Transfer Modeling of
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RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Fei, S.P.[Shuai-Peng],
Hassan, M.A.[Muhammad Adeel],
He, Z.H.[Zhong-Hu],
Chen, Z.[Zhen],
Shu, M.Y.[Mei-Yan],
Wang, J.K.[Jian-Kang],
Li, C.C.[Chang-Chun],
Xiao, Y.G.[Yong-Gui],
Assessment of Ensemble Learning to Predict Wheat Grain Yield Based on
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RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Ji, J.C.[Jing-Chun],
Liu, J.[Jianli],
Chen, J.J.[Jing-Jing],
Niu, Y.J.[Yu-Jie],
Xuan, K.F.[Ke-Fan],
Jiang, Y.F.[Yi-Fei],
Jia, R.[Renhao],
Wang, C.[Can],
Li, X.P.[Xiao-Peng],
Optimization of Topdressing for Winter Wheat by Accurate Growth
Monitoring and Improved Production Estimation,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Manivasagam, V.S.,
Sadeh, Y.[Yuval],
Kaplan, G.[Gregoriy],
Bonfil, D.J.[David J.],
Rozenstein, O.[Offer],
Studying the Feasibility of Assimilating Sentinel-2 and PlanetScope
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RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Evans, F.H.[Fiona H.],
Shen, J.X.[Jian-Xiu],
Long-Term Hindcasts of Wheat Yield in Fields Using Remotely Sensed
Phenology, Climate Data and Machine Learning,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Wengert, M.[Matthias],
Piepho, H.P.[Hans-Peter],
Astor, T.[Thomas],
Graß, R.[Rüdiger],
Wijesingha, J.[Jayan],
Wachendorf, M.[Michael],
Assessing Spatial Variability of Barley Whole Crop Biomass Yield and
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RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Herzig, P.[Paul],
Borrmann, P.[Peter],
Knauer, U.[Uwe],
Klück, H.C.[Hans-Christian],
Kilias, D.[David],
Seiffert, U.[Udo],
Pillen, K.[Klaus],
Maurer, A.[Andreas],
Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV)
Imagery for High-Throughput Phenotyping and Yield Prediction in
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RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Zeng, L.L.[Ling-Lin],
Peng, G.Z.[Guo-Zhang],
Meng, R.[Ran],
Man, J.G.[Jian-Guo],
Li, W.[Weibo],
Xu, B.[Binyuan],
Lv, Z.G.[Zhen-Gang],
Sun, R.[Rui],
Wheat Yield Prediction Based on Unmanned Aerial Vehicles-Collected
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RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Colaço, A.F.[André Freitas],
Schaefer, M.[Michael],
Bramley, R.G.V.[Robert G. V.],
Broadacre Mapping of Wheat Biomass Using Ground-Based LiDAR
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RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Zhao, J.Q.[Jian-Qing],
Zhang, X.O.[Xia-Ohu],
Yan, J.W.[Jia-Wei],
Qiu, X.L.[Xiao-Lei],
Yao, X.[Xia],
Tian, Y.C.[Yong-Chao],
Zhu, Y.[Yan],
Cao, W.X.[Wei-Xing],
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Zhao, L.C.[Li-Cheng],
Guo, W.[Wei],
Wang, J.[Jian],
Wang, H.Z.[Hao-Zhou],
Duan, Y.L.[Yu-Lin],
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Wu, W.B.[Wen-Bin],
Shi, Y.[Yun],
An Efficient Method for Estimating Wheat Heading Dates Using UAV
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RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Choudhury, M.R.[Malini Roy],
Das, S.[Sumanta],
Christopher, J.[Jack],
Apan, A.[Armando],
Chapman, S.[Scott],
Menzies, N.W.[Neal W.],
Dang, Y.P.[Yash P.],
Improving Biomass and Grain Yield Prediction of Wheat Genotypes on
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RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Peron-Danaher, R.[Raquel],
Russell, B.[Blake],
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Mohammadi, M.[Mohsen],
Couture, J.J.[John J.],
Incorporating Multi-Scale, Spectrally Detected Nitrogen
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RS(13), No. 19, 2021, pp. xx-yy.
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2110
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Agriculture, Remote sensing, Synthetic aperture radar,
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2112
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Current Status and Future Opportunities for Grain Protein Prediction
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2202
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2202
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2203
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The Self-Supervised Spectral-Spatial Vision Transformer Network for
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2204
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2204
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Elsevier DOI
2205
Multi-temporal, Acquisition dates, Effects evaluation,
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Dynamic Harvest Index Estimation of Winter Wheat Based on UAV
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2205
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2205
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Estimating Soil Moisture over Winter Wheat Fields during Growing
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Integration of Satellite-Based Optical and Synthetic Aperture Radar
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2205
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UAV Remote Sensing for Detecting within-Field Spatial Variation of
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RSARE: A physically-based vegetation index for estimating wheat green
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2306
LAI, Sentinel-2, Residue-soil adjusted red edge difference index (RSARE),
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Crop, Large-scale mapping, Optical and SAR data, Time series,
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Head, Uncertainty, Image color analysis, Lighting,
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crops, deconvolution, feature extraction, image colour analysis,
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crops, mean square error methods, remote sensing,
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
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