-
1
-
-
84893010172
-
Global Land Cover Map for 2009 (GlobCover 2009). © European Space Agency (ESA) & Université catholique de Louvain (UCL)
-
Arino, O., Ramos Perez, J.J., Kalogirou, V., Bontemps, S., Defourny, P., Van Bogaert, E., Global Land Cover Map for 2009 (GlobCover 2009). © European Space Agency (ESA) & Université catholique de Louvain (UCL). 2012, 10.1594/PANGAEA.787668.
-
(2012)
-
-
Arino, O.1
Ramos Perez, J.J.2
Kalogirou, V.3
Bontemps, S.4
Defourny, P.5
Van Bogaert, E.6
-
2
-
-
84874775534
-
Mapping the spatial distribution of winter crops at sub-pixel level using AVHRR NDVI time series and neural nets
-
Atzberger, C., Rembold, F., Mapping the spatial distribution of winter crops at sub-pixel level using AVHRR NDVI time series and neural nets. Remote Sens. 5:3 (2013), 1335–1354.
-
(2013)
Remote Sens.
, vol.5
, Issue.3
, pp. 1335-1354
-
-
Atzberger, C.1
Rembold, F.2
-
3
-
-
84860392830
-
Monitoring global croplands with coarse resolution earth observations: The global agriculture monitoring (GLAM) project
-
Becker-Reshef, I., Justice, C., Sullivan, M., Vermote, E., Tucker, C., Anyamba, A.,.. Hansen, M., Monitoring global croplands with coarse resolution earth observations: The global agriculture monitoring (GLAM) project. Remote Sens. 2:6 (2010), 1589–1609.
-
(2010)
Remote Sens.
, vol.2
, Issue.6
, pp. 1589-1609
-
-
Becker-Reshef, I.1
Justice, C.2
Sullivan, M.3
Vermote, E.4
Tucker, C.5
Anyamba, A.6
Hansen, M.7
-
4
-
-
77949487217
-
A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data
-
Becker-Reshef, I., Vermote, E., Lindeman, M., Justice, C., A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data. Remote Sens. Environ. 114:6 (2010), 1312–1323.
-
(2010)
Remote Sens. Environ.
, vol.114
, Issue.6
, pp. 1312-1323
-
-
Becker-Reshef, I.1
Vermote, E.2
Lindeman, M.3
Justice, C.4
-
5
-
-
33846516584
-
Pattern Recognition and Machine Learning
-
Springer New York (Chapter 9)
-
Bishop, C.M., Pattern Recognition and Machine Learning. 2006, Springer, New York (Chapter 9).
-
(2006)
-
-
Bishop, C.M.1
-
6
-
-
79960831514
-
Monitoring US agriculture: the US department of agriculture, national agricultural statistics service, cropland data layer program
-
Boryan, C., Yang, Z., Mueller, R., Craig, M., Monitoring US agriculture: the US department of agriculture, national agricultural statistics service, cropland data layer program. Geocarto Int. 26:5 (2011), 341–358.
-
(2011)
Geocarto Int.
, vol.26
, Issue.5
, pp. 341-358
-
-
Boryan, C.1
Yang, Z.2
Mueller, R.3
Craig, M.4
-
7
-
-
84921024015
-
A new automatic stratification method for U.S. agricultural area sampling frame construction based on the cropland data layer
-
Boryan, C.G., Yang, Z., Di, L., Hunt, K., A new automatic stratification method for U.S. agricultural area sampling frame construction based on the cropland data layer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sensing. 7:11 (2014), 4317–4327.
-
(2014)
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sensing.
, vol.7
, Issue.11
, pp. 4317-4327
-
-
Boryan, C.G.1
Yang, Z.2
Di, L.3
Hunt, K.4
-
8
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster, A.P., Laird, N.M., Rubin, D.B., Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. B 39:1 (1977), 1–38.
-
(1977)
J. R. Stat. Soc. B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
9
-
-
85027950286
-
Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day information
-
Franch, B., Vermote, E.F., Becker-Reshef, I., Claverie, M., Huang, J., Zhang, J., Justice, C., Sobrino, J.A., Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day information. Remote Sens. Environ. 161 (2015), 131–148.
-
(2015)
Remote Sens. Environ.
, vol.161
, pp. 131-148
-
-
Franch, B.1
Vermote, E.F.2
Becker-Reshef, I.3
Claverie, M.4
Huang, J.5
Zhang, J.6
Justice, C.7
Sobrino, J.A.8
-
10
-
-
70350041108
-
MODIS collection 5 global land cover: algorithm refinements and characterization of new datasets
-
Friedl, M.A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., Huang, X., MODIS collection 5 global land cover: algorithm refinements and characterization of new datasets. Remote Sens. Environ. 114 (2010), 168–182.
-
(2010)
Remote Sens. Environ.
, vol.114
, pp. 168-182
-
-
Friedl, M.A.1
Sulla-Menashe, D.2
Tan, B.3
Schneider, A.4
Ramankutty, N.5
Sibley, A.6
Huang, X.7
-
11
-
-
84939975297
-
The need for improved maps of global cropland
-
Fritz, S., See, L., You, L., Justice, C., Becker-Reshef, I., Bydekerke, L.,.. Gilliams, S., The need for improved maps of global cropland. EOS Trans. Am. Geophys. Union 94:3 (2013), 31–32.
-
(2013)
EOS Trans. Am. Geophys. Union
, vol.94
, Issue.3
, pp. 31-32
-
-
Fritz, S.1
See, L.2
You, L.3
Justice, C.4
Becker-Reshef, I.5
Bydekerke, L.6
Gilliams, S.7
-
12
-
-
84927952208
-
Mapping global cropland and field size
-
Fritz, S., See, L., McCallum, I., You, L., Bun, A., Moltchanova, E.,.. Havlik, P., Mapping global cropland and field size. Glob. Chang. Biol. 21:5 (2015), 1980–1992.
-
(2015)
Glob. Chang. Biol.
, vol.21
, Issue.5
, pp. 1980-1992
-
-
Fritz, S.1
See, L.2
McCallum, I.3
You, L.4
Bun, A.5
Moltchanova, E.6
Havlik, P.7
-
13
-
-
84886045513
-
Accuracy objectivity and efficiency of remote sensing for agricultural statistics
-
R. Benedetti F. Piersimoni M. Bee G. Espa John Wiley & Sons Chichester
-
Gallego, F.J., Carfagna, E., Baruth, B., Accuracy objectivity and efficiency of remote sensing for agricultural statistics. Benedetti, R., Piersimoni, F., Bee, M., Espa, G., (eds.) Agricultural Survey Methods, 2010, John Wiley & Sons, Chichester, 193–211.
-
(2010)
Agricultural Survey Methods
, pp. 193-211
-
-
Gallego, F.J.1
Carfagna, E.2
Baruth, B.3
-
14
-
-
84897501332
-
Efficiency assessment of using satellite data for crop area estimation in Ukraine
-
Gallego, F.J., Kussul, N., Skakun, S., Kravchenko, O., Shelestov, A., Kussul, O., Efficiency assessment of using satellite data for crop area estimation in Ukraine. Int. J. Appl. Earth Obs. Geoinf. 29 (2014), 22–30.
-
(2014)
Int. J. Appl. Earth Obs. Geoinf.
, vol.29
, pp. 22-30
-
-
Gallego, F.J.1
Kussul, N.2
Skakun, S.3
Kravchenko, O.4
Shelestov, A.5
Kussul, O.6
-
15
-
-
84961815144
-
Optical remotely sensed time series data for land cover classification: a review
-
Gómez, C., White, J.C., Wulder, M.A., Optical remotely sensed time series data for land cover classification: a review. ISPRS J. Photogramm. Remote Sens. 116 (2016), 55–72.
-
(2016)
ISPRS J. Photogramm. Remote Sens.
, vol.116
, pp. 55-72
-
-
Gómez, C.1
White, J.C.2
Wulder, M.A.3
-
16
-
-
0034655867
-
Global land cover classification at 1 km spatial resolution using a classification tree approach
-
Hansen, M.C., DeFries, R.S., Townshend, J.R., Sohlberg, R., Global land cover classification at 1 km spatial resolution using a classification tree approach. Int. J. Remote Sens. 21:6–7 (2000), 1331–1364.
-
(2000)
Int. J. Remote Sens.
, vol.21
, Issue.6-7
, pp. 1331-1364
-
-
Hansen, M.C.1
DeFries, R.S.2
Townshend, J.R.3
Sohlberg, R.4
-
17
-
-
84930024323
-
Feature selection of time series MODIS data for early crop classification using random forest: a case study in Kansas, USA
-
Hao, P., Zhan, Y., Wang, L., Niu, Z., Shakir, M., Feature selection of time series MODIS data for early crop classification using random forest: a case study in Kansas, USA. Remote Sens. 7:5 (2015), 5347–5369.
-
(2015)
Remote Sens.
, vol.7
, Issue.5
, pp. 5347-5369
-
-
Hao, P.1
Zhan, Y.2
Wang, L.3
Niu, Z.4
Shakir, M.5
-
18
-
-
84997771292
-
A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products
-
Johnson, D.M., A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products. Int. J. Appl. Earth Obs. Geoinf. 52 (2016), 65–81.
-
(2016)
Int. J. Appl. Earth Obs. Geoinf.
, vol.52
, pp. 65-81
-
-
Johnson, D.M.1
-
19
-
-
84960193063
-
Landsat-based wheat mapping in the heterogeneous cropping system of Punjab, Pakistan
-
Khan, A., Hansen, M.C., Potapov, P., Stehman, S.V., Chatta, A.A., Landsat-based wheat mapping in the heterogeneous cropping system of Punjab, Pakistan. Int. J. Remote Sens. 37:6 (2016), 1391–1410.
-
(2016)
Int. J. Remote Sens.
, vol.37
, Issue.6
, pp. 1391-1410
-
-
Khan, A.1
Hansen, M.C.2
Potapov, P.3
Stehman, S.V.4
Chatta, A.A.5
-
20
-
-
84880317742
-
Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models
-
Kogan, F., Kussul, N., Adamenko, T., Skakun, S., Kravchenko, O., Kryvobok, O., Shelestov, A., Kolotii, A., Kussul, O., Lavrenyuk, A., Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models. Int. J. Appl. Earth Obs. Geoinf. 23 (2013), 192–203.
-
(2013)
Int. J. Appl. Earth Obs. Geoinf.
, vol.23
, pp. 192-203
-
-
Kogan, F.1
Kussul, N.2
Adamenko, T.3
Skakun, S.4
Kravchenko, O.5
Kryvobok, O.6
Shelestov, A.7
Kolotii, A.8
Kussul, O.9
Lavrenyuk, A.10
-
21
-
-
84930408057
-
Comparison of biophysical and satellite predictors for wheat yield forecasting in Ukraine
-
Kolotii, A., Kussul, N., Shelestov, A., Skakun, S., Yailymov, B., Basarab, R.,.. Ostapenko, V., Comparison of biophysical and satellite predictors for wheat yield forecasting in Ukraine. Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci. 40:7 (2015), 39–44.
-
(2015)
Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci.
, vol.40
, Issue.7
, pp. 39-44
-
-
Kolotii, A.1
Kussul, N.2
Shelestov, A.3
Skakun, S.4
Yailymov, B.5
Basarab, R.6
Ostapenko, V.7
-
22
-
-
84911427272
-
The use of satellite SAR imagery to crop classification in Ukraine within JECAM project
-
IEEE
-
Kussul, N., Skakun, S., Shelestov, A., Kussul, O., The use of satellite SAR imagery to crop classification in Ukraine within JECAM project. 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014, July, IEEE, 1497–1500.
-
(2014)
2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
, pp. 1497-1500
-
-
Kussul, N.1
Skakun, S.2
Shelestov, A.3
Kussul, O.4
-
23
-
-
84962602719
-
Regional retrospective high resolution land cover for Ukraine: Methodology and results
-
IEEE July
-
Lavreniuk, M., Kussul, N., Skakun, S., Shelestov, A., Yailymov, B., Regional retrospective high resolution land cover for Ukraine: Methodology and results. 2015 IEEE International Geosciencee and Remote Sensing Symposium, IGARSS2015, 2015, IEEE, 3965–3968, July.
-
(2015)
2015 IEEE International Geosciencee and Remote Sensing Symposium, IGARSS2015
, pp. 3965-3968
-
-
Lavreniuk, M.1
Kussul, N.2
Skakun, S.3
Shelestov, A.4
Yailymov, B.5
-
24
-
-
85007384910
-
Large-scale classification of land cover using retrospective satellite data
-
Lavreniuk, M.S., Skakun, S.V., Shelestov, A.J., Yalimov, B.Y., Yanchevskii, S.L., Yaschuk, D.J., Kosteckiy, A.I., Large-scale classification of land cover using retrospective satellite data. Cybern. Syst. Anal. 52:1 (2016), 127–138.
-
(2016)
Cybern. Syst. Anal.
, vol.52
, Issue.1
, pp. 127-138
-
-
Lavreniuk, M.S.1
Skakun, S.V.2
Shelestov, A.J.3
Yalimov, B.Y.4
Yanchevskii, S.L.5
Yaschuk, D.J.6
Kosteckiy, A.I.7
-
25
-
-
84924262090
-
Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level
-
López-Lozano, R., Duveiller, G., Seguini, L., Meroni, M., García-Condado, S., Hooker, J.,.. Baruth, B., Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level. Agric. For. Meteorol. 206 (2015), 12–32.
-
(2015)
Agric. For. Meteorol.
, vol.206
, pp. 12-32
-
-
López-Lozano, R.1
Duveiller, G.2
Seguini, L.3
Meroni, M.4
García-Condado, S.5
Hooker, J.6
Baruth, B.7
-
26
-
-
34047163965
-
Comparative assessment of the measures of thematic classification accuracy
-
Liu, C., Frazier, P., Kumar, L., Comparative assessment of the measures of thematic classification accuracy. Remote Sens. Environ. 107:4 (2007), 606–616.
-
(2007)
Remote Sens. Environ.
, vol.107
, Issue.4
, pp. 606-616
-
-
Liu, C.1
Frazier, P.2
Kumar, L.3
-
27
-
-
84945907812
-
An automated method for annual cropland mapping along the season for various globally-distributed Agrosystems using high spatial and temporal resolution time series
-
Matton, N., Canto, G.S., Waldner, F., Valero, S., Morin, D., Inglada, J.,.. Defourny, P., An automated method for annual cropland mapping along the season for various globally-distributed Agrosystems using high spatial and temporal resolution time series. Remote Sens. 7:10 (2015), 13208–13232.
-
(2015)
Remote Sens.
, vol.7
, Issue.10
, pp. 13208-13232
-
-
Matton, N.1
Canto, G.S.2
Waldner, F.3
Valero, S.4
Morin, D.5
Inglada, J.6
Defourny, P.7
-
28
-
-
84897378292
-
Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2
-
McNairn, H., Kross, A., Lapen, D., Caves, R., Shang, J., Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2. Int. J. Appl. Earth Obs. Geoinf. 28 (2014), 252–259.
-
(2014)
Int. J. Appl. Earth Obs. Geoinf.
, vol.28
, pp. 252-259
-
-
McNairn, H.1
Kross, A.2
Lapen, D.3
Caves, R.4
Shang, J.5
-
29
-
-
0031452646
-
Growing degree-days: one equation, two interpretations
-
McMaster, G.S., Wilhelm, W.W., Growing degree-days: one equation, two interpretations. Agric. For. Meteorol. 87 (1997), 291–300.
-
(1997)
Agric. For. Meteorol.
, vol.87
, pp. 291-300
-
-
McMaster, G.S.1
Wilhelm, W.W.2
-
30
-
-
84929167850
-
Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2
-
Molod, A., Takacs, L., Suarez, M., Bacmeister, J., Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2. Geosci. Model Dev. 8:5 (2015), 1339–1356.
-
(2015)
Geosci. Model Dev.
, vol.8
, Issue.5
, pp. 1339-1356
-
-
Molod, A.1
Takacs, L.2
Suarez, M.3
Bacmeister, J.4
-
31
-
-
84860389770
-
Estimating global cropland extent with multi-year MODIS data
-
Pittman, K., Hansen, M.C., Becker-Reshef, I., Potapov, P.V., Justice, C.O., Estimating global cropland extent with multi-year MODIS data. Remote Sens. 2:7 (2010), 1844–1863.
-
(2010)
Remote Sens.
, vol.2
, Issue.7
, pp. 1844-1863
-
-
Pittman, K.1
Hansen, M.C.2
Becker-Reshef, I.3
Potapov, P.V.4
Justice, C.O.5
-
32
-
-
84901482913
-
Automated training sample extraction for global land cover mapping
-
Radoux, J., Lamarche, C., Van Bogaert, E., Bontemps, S., Brockmann, C., Defourny, P., Automated training sample extraction for global land cover mapping. Remote Sens. 6:5 (2014), 3965–3987.
-
(2014)
Remote Sens.
, vol.6
, Issue.5
, pp. 3965-3987
-
-
Radoux, J.1
Lamarche, C.2
Van Bogaert, E.3
Bontemps, S.4
Brockmann, C.5
Defourny, P.6
-
33
-
-
84935029534
-
An analysis of cropland mask choice and ancillary data for annual corn yield forecasting using MODIS data
-
Shao, Y., Campbell, J.B., Taff, G.N., Zheng, B., An analysis of cropland mask choice and ancillary data for annual corn yield forecasting using MODIS data. Int. J. Appl. Earth Obs. Geoinf. 38 (2015), 78–87.
-
(2015)
Int. J. Appl. Earth Obs. Geoinf.
, vol.38
, pp. 78-87
-
-
Shao, Y.1
Campbell, J.B.2
Taff, G.N.3
Zheng, B.4
-
34
-
-
84961210112
-
The use of satellite data for agriculture drought risk quantification in Ukraine
-
Skakun, S., Kussul, N., Shelestov, A., Kussul, O., The use of satellite data for agriculture drought risk quantification in Ukraine. Geomatics Nat. Hazards Risk 7:3 (2016), 901–917.
-
(2016)
Geomatics Nat. Hazards Risk
, vol.7
, Issue.3
, pp. 901-917
-
-
Skakun, S.1
Kussul, N.2
Shelestov, A.3
Kussul, O.4
-
35
-
-
84938815954
-
Efficiency assessment of multitemporal C-band Radarsat-2 intensity and Landsat-8 surface reflectance satellite imagery for crop classification in Ukraine
-
Skakun, S., Kussul, N., Shelestov, A.Y., Lavreniuk, M., Kussul, O., Efficiency assessment of multitemporal C-band Radarsat-2 intensity and Landsat-8 surface reflectance satellite imagery for crop classification in Ukraine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sensing. 9:8 (2016), 3712–3719.
-
(2016)
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sensing.
, vol.9
, Issue.8
, pp. 3712-3719
-
-
Skakun, S.1
Kussul, N.2
Shelestov, A.Y.3
Lavreniuk, M.4
Kussul, O.5
-
36
-
-
84927804881
-
Assessing global land cover reference datasets for different user communities
-
Tsendbazar, N.E., De Bruin, S., Herold, M., Assessing global land cover reference datasets for different user communities. ISPRS J. Photogramm. Remote Sens. 103 (2015), 93–114.
-
(2015)
ISPRS J. Photogramm. Remote Sens.
, vol.103
, pp. 93-114
-
-
Tsendbazar, N.E.1
De Bruin, S.2
Herold, M.3
-
38
-
-
84873166271
-
Harmonizing and combining existing land cover/land use datasets for cropland area monitoring at the African continental scale
-
Vancutsem, C., Marinho, E., Francois, K., See, L., Fritz, S., Harmonizing and combining existing land cover/land use datasets for cropland area monitoring at the African continental scale. Remote Sens. 5 (2013), 19–41.
-
(2013)
Remote Sens.
, vol.5
, pp. 19-41
-
-
Vancutsem, C.1
Marinho, E.2
Francois, K.3
See, L.4
Fritz, S.5
-
39
-
-
84943618000
-
Early-season mapping of crops and cultural operations using very high spatial resolution Pléiades images
-
Vaudour, E., Noirot-Cosson, P.E., Membrive, O., Early-season mapping of crops and cultural operations using very high spatial resolution Pléiades images. Int. J. Appl. Earth Obs. Geoinf. 42 (2015), 128–141.
-
(2015)
Int. J. Appl. Earth Obs. Geoinf.
, vol.42
, pp. 128-141
-
-
Vaudour, E.1
Noirot-Cosson, P.E.2
Membrive, O.3
-
40
-
-
85006739160
-
MOD09Q1 MODIS/Terra Surface Reflectance 8-day L3 Global 250m SIN Grid V006. NASA EOSDIS Land Processes DAAC
-
(Accessed 07.06.2016)
-
Vermote, E., MOD09Q1 MODIS/Terra Surface Reflectance 8-day L3 Global 250m SIN Grid V006. NASA EOSDIS Land Processes DAAC. 2015, 10.5067/MODIS/MOD09Q1.006 (Accessed 07.06.2016).
-
(2015)
-
-
Vermote, E.1
-
41
-
-
59749092024
-
Atmospheric correction for the monitoring of land surfaces
-
Vermote, E.F., Kotchenova, S., Atmospheric correction for the monitoring of land surfaces. J. Geophys. Res. Atmos. 113:D23 (2008), 1–12.
-
(2008)
J. Geophys. Res. Atmos.
, vol.113
, Issue.D23
, pp. 1-12
-
-
Vermote, E.F.1
Kotchenova, S.2
-
42
-
-
74149091065
-
MODIS Surface Reflectance User's Guide Collection 6
-
(Accessed 07.06.2016)
-
Vermote, E.F., Roger, J.C., Ray, J.P., MODIS Surface Reflectance User's Guide Collection 6. https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/mod09_user_guide_v1.4.pdf, 2015 (Accessed 07.06.2016).
-
(2015)
-
-
Vermote, E.F.1
Roger, J.C.2
Ray, J.P.3
-
43
-
-
84945902495
-
In-season mapping of crop type with optical and X-band SAR data: a classification tree approach using synoptic seasonal features
-
Villa, P., Stroppiana, D., Fontanelli, G., Azar, R., Brivio, P.A., In-season mapping of crop type with optical and X-band SAR data: a classification tree approach using synoptic seasonal features. Remote Sens. 7:10 (2015), 12859–12886.
-
(2015)
Remote Sens.
, vol.7
, Issue.10
, pp. 12859-12886
-
-
Villa, P.1
Stroppiana, D.2
Fontanelli, G.3
Azar, R.4
Brivio, P.A.5
-
44
-
-
34247523027
-
Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains
-
Wardlow, B.D., Egbert, S.L., Kastens, J.H., Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains. Remote Sens. Environ. 108:3 (2007), 290–310.
-
(2007)
Remote Sens. Environ.
, vol.108
, Issue.3
, pp. 290-310
-
-
Wardlow, B.D.1
Egbert, S.L.2
Kastens, J.H.3
-
45
-
-
39749173163
-
Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the US Central Great Plains
-
Wardlow, B.D., Egbert, S.L., Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the US Central Great Plains. Remote Sens. Environ. 112:3 (2008), 1096–1116.
-
(2008)
Remote Sens. Environ.
, vol.112
, Issue.3
, pp. 1096-1116
-
-
Wardlow, B.D.1
Egbert, S.L.2
-
46
-
-
84944743397
-
Automated annual cropland mapping using knowledge-based temporal features
-
Waldner, F., Canto, G.S., Defourny, P., Automated annual cropland mapping using knowledge-based temporal features. ISPRS J. Photogramm. Remote Sens. 110 (2015), 1–13.
-
(2015)
ISPRS J. Photogramm. Remote Sens.
, vol.110
, pp. 1-13
-
-
Waldner, F.1
Canto, G.S.2
Defourny, P.3
-
47
-
-
84982913053
-
Towards a set of agroasystem-specific cropland mapping methods to address the global cropland diversity
-
Waldner, F., De Abelleyra, D., Verón, S.R., Zhang, M., Wu, B., Plotnikov, D.,.. Le Maire, G., Towards a set of agroasystem-specific cropland mapping methods to address the global cropland diversity. Int. J. Remote Sens. 37:14 (2016), 3196–3231.
-
(2016)
Int. J. Remote Sens.
, vol.37
, Issue.14
, pp. 3196-3231
-
-
Waldner, F.1
De Abelleyra, D.2
Verón, S.R.3
Zhang, M.4
Wu, B.5
Plotnikov, D.6
Le Maire, G.7
-
48
-
-
84965110559
-
Strengthening of the tropopause inversion layer during the 2009 sudden stratospheric warming: a MERRA-2 study
-
Wargan, K., Coy, L., Strengthening of the tropopause inversion layer during the 2009 sudden stratospheric warming: a MERRA-2 study. J. Atmos. Sci. 73:5 (2016), 1871–1887.
-
(2016)
J. Atmos. Sci.
, vol.73
, Issue.5
, pp. 1871-1887
-
-
Wargan, K.1
Coy, L.2
-
49
-
-
84888134923
-
FROM-GC: 30 m global cropland extent derived through multisource data integration
-
Yu, L., Wang, J., Clinton, N., Xin, Q., Zhong, L., Chen, Y., Gong, P., FROM-GC: 30 m global cropland extent derived through multisource data integration. Int. J. Digit. Earth 6:6 (2013), 521–533.
-
(2013)
Int. J. Digit. Earth
, vol.6
, Issue.6
, pp. 521-533
-
-
Yu, L.1
Wang, J.2
Clinton, N.3
Xin, Q.4
Zhong, L.5
Chen, Y.6
Gong, P.7
-
50
-
-
84884264508
-
Efficient corn and soybean mapping with temporal extendability: a multi-year experiment using Landsat imagery
-
Zhong, L., Gong, P., Biging, G.S., Efficient corn and soybean mapping with temporal extendability: a multi-year experiment using Landsat imagery. Remote Sens. Environ. 140 (2014), 1–13.
-
(2014)
Remote Sens. Environ.
, vol.140
, pp. 1-13
-
-
Zhong, L.1
Gong, P.2
Biging, G.S.3
-
51
-
-
82055192022
-
A phenology-based approach to map crop types in the San Joaquin Valley, California
-
Zhong, L., Hawkins, T., Biging, G., Gong, P., A phenology-based approach to map crop types in the San Joaquin Valley, California. Int. J. Remote Sens. 32:22 (2011), 7777–7804.
-
(2011)
Int. J. Remote Sens.
, vol.32
, Issue.22
, pp. 7777-7804
-
-
Zhong, L.1
Hawkins, T.2
Biging, G.3
Gong, P.4
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