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

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

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

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

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

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

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.
And: Corrections: GeoRS(52), No. 6, June 2014, pp. 3753-3753.
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

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

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

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

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

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

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

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

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

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

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

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

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.[Yubin], 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

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

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
And: Correction: RS(7), No. 12, 2015, pp. 15878.
DOI Link 1601

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

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

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.
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

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

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

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

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

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

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
Earlier: A2, A1, A3, A4:
Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer Mounted on UAV and a Laboratory Goniometer: Preliminary Results,
DOI Link 1512

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

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

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

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

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.[Hongyu], 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.
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

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

Franch, B.[Belen], Vermote, E.F.[Eric F.], Roger, J.C.[Jean-Claude], Murphy, E.[Emilie], Becker-Reshef, I.[Inbal], Justice, C.[Chris], Claverie, M.[Martin], Nagol, J.[Jyoteshwar], Csiszar, I.[Ivan], Meyer, D.[Dave], Baret, F.[Frederic], Masuoka, E.[Edward], Wolfe, R.[Robert], Devadiga, S.[Sadashiva],
A 30+ Year AVHRR Land Surface Reflectance Climate Data Record and Its Application to Wheat Yield Monitoring,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704

Du, M.[Mengmeng], 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

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

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.[Guijun], Li, C.[Changchun], Li, Z.[Zhenhai], Wang, Y.[Yanjie], Feng, H.[Haikuan], 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

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

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,
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,
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,
Springer DOI 1507

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,
DOI Link 1209

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

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,

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).

Cataltepe, Z., Cetin, E., Pearson, T.,
Identification of insect damaged wheat kernels using transmittance images,
ICIP04(V: 2917-2920).

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 28, 2017 at 17:11:31