22.1.5.20 Cotton, Analysis and Change

Chapter Contents (Back)
Classification. Cotton.

Zhao, D.H.[De-Hua], Huang, L.M.[Liang-Mei], Li, J.L.[Jian-Long], Qi, J.G.[Jia-Guo],
A comparative analysis of broadband and narrowband derived vegetation indices in predicting LAI and CCD of a cotton canopy,
PandRS(62), No. 1, May 2007, pp. 25-33.
Elsevier DOI 0709
Hyperspectral remote sensing; Cotton; Broadband vegetation indices; Narrowband VIs; Leaf area index (LAI); Canopy chlorophyll density (CCD); Bandwidth and wavelength selection BibRef

Yi, Q.X.[Qiu-Xiang], Jiapaer, G.[Guli], Chen, J.M.[Jing-Ming], Bao, A.M.[An-Ming], Wang, F.M.[Fu-Min],
Different units of measurement of carotenoids estimation in cotton using hyperspectral indices and partial least square regression,
PandRS(91), No. 1, 2014, pp. 72-84.
Elsevier DOI 1404
Carotenoids BibRef

Lex, S.[Sylvia], Asam, S.[Sarah], Lw, F.[Fabian], Conrad, C.[Christopher],
Comparison of two Statistical Methods for the Derivation of the Fraction of Absorbed Photosynthetic Active Radiation for Cotton,
PFG(2015), No. 1, 2015, pp. 55-67.
DOI Link 1503
BibRef

Muharam, F.M.[Farrah Melissa], Maas, S.J.[Stephen J.], Bronson, K.F.[Kevin F.], Delahunty, T.[Tina],
Estimating Cotton Nitrogen Nutrition Status Using Leaf Greenness and Ground Cover Information,
RS(7), No. 6, 2015, pp. 7007.
DOI Link 1507
BibRef

Suarez, L.A., Apan, A., Werth, J.,
Hyperspectral sensing to detect the impact of herbicide drift on cotton growth and yield,
PandRS(120), No. 1, 2016, pp. 65-76.
Elsevier DOI 1610
Cotton BibRef

Sun, S.P.[Shang-Peng], Li, C.Y.[Chang-Ying], Paterson, A.H.[Andrew H.],
In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Song, X.Y.[Xiao-Yu], Yang, C.H.[Cheng-Hai], Wu, M.Q.[Ming-Quan], Zhao, C.J.[Chun-Jiang], Yang, G.J.[Gui-Jun], Hoffmann, W.C.[Wesley Clint], Huang, W.[Wenjiang],
Evaluation of Sentinel-2A Satellite Imagery for Mapping Cotton Root Rot,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Thompson, A.L.[Alison L.], Thorp, K.R.[Kelly R.], Conley, M.M.[Matthew M.], Elshikha, D.M.[Diaa M.], French, A.N.[Andrew N.], Andrade-Sanchez, P.[Pedro], Pauli, D.[Duke],
Comparing Nadir and Multi-Angle View Sensor Technologies for Measuring in-Field Plant Height of Upland Cotton,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Ballester, C.[Carlos], Hornbuckle, J.[John], Brinkhoff, J.[James], Smith, J.[John], Quayle, W.[Wendy],
Assessment of In-Season Cotton Nitrogen Status and Lint Yield Prediction from Unmanned Aerial System Imagery,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Sakamoto, T.[Toshihiro],
Refined shape model fitting methods for detecting various types of phenological information on major U.S. crops,
PandRS(138), 2018, pp. 176-192.
Elsevier DOI 1804
MODIS, MOD12Q2, Phenology, Barley, Wheat, Cotton BibRef

Yeom, J.[Junho], Jung, J.[Jinha], Chang, A.[Anjin], Maeda, M.[Murilo], Landivar, J.[Juan],
Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Bian, J.[Jiang], Zhang, Z.[Zhitao], Chen, J.[Junying], Chen, H.[Haiying], Cui, C.[Chenfeng], Li, X.[Xianwen], Chen, S.[Shuobo], Fu, Q.[Qiuping],
Simplified Evaluation of Cotton Water Stress Using High Resolution Unmanned Aerial Vehicle Thermal Imagery,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Ballester, C.[Carlos], Brinkhoff, J.[James], Quayle, W.C.[Wendy C.], Hornbuckle, J.[John],
Monitoring the Effects of Water Stress in Cotton Using the Green Red Vegetation Index and Red Edge Ratio,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Ashapure, A.[Akash], Jung, J.[Jinha], Yeom, J.[Junho], Chang, A.[Anjin], Maeda, M.[Murilo], Maeda, A.[Andrea], Landivar, J.[Juan],
A novel framework to detect conventional tillage and no-tillage cropping system effect on cotton growth and development using multi-temporal UAS data,
PandRS(152), 2019, pp. 49-64.
Elsevier DOI 1905
Unmanned aerial system, Conventional tillage, No-tillage, Precision agriculture BibRef

He, L.M.[Li-Ming], Mostovoy, G.[Georgy],
Cotton Yield Estimate Using Sentinel-2 Data and an Ecosystem Model over the Southern US,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Polinova, M.[Maria], Salinas, K.[Keren], Bonfante, A.[Antonello], Brook, A.[Anna],
Irrigation Optimization Under a Limited Water Supply by the Integration of Modern Approaches into Traditional Water Management on the Cotton Fields,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef


Paproki, A., Fripp, J., Salvado, O., Sirault, X., Berry, S., Furbank, R.,
Automated 3D Segmentation and Analysis of Cotton Plants,
DICTA11(555-560).
IEEE DOI 1205
BibRef

Palacharla, P.K.[Pavan K.], Durbha, S.S.[Surya S.], King, R.L.[Roger L.], Gokaraju, B.[Balakrishna], Lawrence, G.W.[Gary W.],
A hyperspectral reflectance data based model inversion methodology to detect reniform nematodes in cotton,
MultiTemp11(249-252).
IEEE DOI 1109
BibRef

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


Last update:Nov 7, 2019 at 15:08:56