-
1
-
-
85009801545
-
Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier
-
Friesz, A. M., Wylie, B. K. & Howard, D. M. Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier. Remote Sens. Lett. 8, 389-398, https://doi.org/10.1080/2150704x.2016.1271469 (2017).
-
(2017)
Remote Sens. Lett.
, vol.8
, pp. 389-398
-
-
Friesz, A.M.1
Wylie, B.K.2
Howard, D.M.3
-
2
-
-
84923552740
-
Annual crop type classification of the US Great plains for 2000 to 2011
-
Howard, D. M. & Wylie, B. K. Annual crop type classification of the US Great plains for 2000 to 2011. Photogramm. Eng. Remote Sens. 80, 537-549, https://doi.org/10.14358/PERS.80.6.537-549 (2014).
-
(2014)
Photogramm. Eng. Remote Sens.
, vol.80
, pp. 537-549
-
-
Howard, D.M.1
Wylie, B.K.2
-
3
-
-
79960831514
-
Monitoring US agriculture: The US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
-
Boryan, C., Yang, Z. W., Mueller, R. & Craig, M. Monitoring US agriculture: The US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program. Geocarto Int. 26, 341-358, https://doi.org/10.1080/10106049.2011.5 62309 (2011).
-
(2011)
Geocarto Int.
, vol.26
, pp. 341-358
-
-
Boryan, C.1
Yang, Z.W.2
Mueller, R.3
Craig, M.4
-
4
-
-
39749173163
-
Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. 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 U.S. Central Great Plains. Remote Sens. Environ. 112, 1096-1116, https://doi.org/10.1016/j.rse.2007.07.019 (2008).
-
(2008)
Remote Sens. Environ.
, vol.112
, pp. 1096-1116
-
-
Wardlow, B.D.1
Egbert, S.L.2
-
5
-
-
84872033244
-
CO2 uptake and ecophysiological parameters of the grain crops of midcontinent North America: Estimates from flux tower measurements
-
Gilmanov, T. G. et al. CO2 uptake and ecophysiological parameters of the grain crops of midcontinent North America: Estimates from flux tower measurements. Agri. Ecosyst. Environ. 164, 162-175, https://doi.org/10.1016/j.agee.2012.09.017 (2013).
-
(2013)
Agri. Ecosyst. Environ.
, vol.164
, pp. 162-175
-
-
Gilmanov, T.G.1
-
6
-
-
78649846882
-
Bird communities in future bioenergy landscapes of the Upper Midwest
-
Meehan, T. D., Hurlbert, A. H. & Gratton, C. Bird communities in future bioenergy landscapes of the Upper Midwest. Proc. Natl. Acad. Sci. USA 107, 18533-18538, https://doi.org/10.1073/pnas.1008475107 (2010).
-
(2010)
Proc. Natl. Acad. Sci. USA
, vol.107
, pp. 18533-18538
-
-
Meehan, T.D.1
Hurlbert, A.H.2
Gratton, C.3
-
7
-
-
84874637637
-
Recent land use change in the Western Corn Belt threatens grasslands and wetlands
-
Wright, C. K. & Wimberly, M. C. Recent land use change in the Western Corn Belt threatens grasslands and wetlands. Proc. Natl. Acad. Sci. USA 110, 4134-4139, https://doi.org/10.1073/pnas.1215404110 (2013).
-
(2013)
Proc. Natl. Acad. Sci. USA
, vol.110
, pp. 4134-4139
-
-
Wright, C.K.1
Wimberly, M.C.2
-
8
-
-
84987638518
-
Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains
-
Otto, C. R. V., Roth, C. L., Carlson, B. L. & Smart, M. D. Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains. Proc. Natl. Acad. Sci. USA 113, 10430-10435, https://doi.org/10.1073/pnas.1603481113 (2016).
-
(2016)
Proc. Natl. Acad. Sci. USA
, vol.113
, pp. 10430-10435
-
-
Otto, C.R.V.1
Roth, C.L.2
Carlson, B.L.3
Smart, M.D.4
-
9
-
-
58149507696
-
Increasing corn for biofuel production reduces biocontrol services in agricultural landscapes
-
Landis, D. A., Gardiner, M. M., van der Werf, W. & Swinton, S. M. Increasing corn for biofuel production reduces biocontrol services in agricultural landscapes. Proc. Natl. Acad. Sci. USA 105, 20552-20557, https://doi.org/10.1073/pnas.0804951106 (2008).
-
(2008)
Proc. Natl. Acad. Sci. USA
, vol.105
, pp. 20552-20557
-
-
Landis, D.A.1
Gardiner, M.M.2
Van Der Werf, W.3
Swinton, S.M.4
-
10
-
-
77149174866
-
Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research
-
Maxwell, S. K., Meliker, J. R. & Goovaerts, P. Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research. J. Expo. Sci. Environ. Epidemiol. 20, 176-185, https://doi.org/10.1038/jes.2009.7 (2010).
-
(2010)
J. Expo. Sci. Environ. Epidemiol.
, vol.20
, pp. 176-185
-
-
Maxwell, S.K.1
Meliker, J.R.2
Goovaerts, P.3
-
11
-
-
33745033277
-
Proximity to crops and residential exposure to agricultural herbicides in Iowa
-
Ward, M. H. et al. Proximity to crops and residential exposure to agricultural herbicides in Iowa. Environ Health Persp 114, 893-897, https://doi.org/10.1289/ehp.8770 (2006).
-
(2006)
Environ Health Persp
, vol.114
, pp. 893-897
-
-
Ward, M.H.1
-
12
-
-
33750343655
-
Land-cover change detection using multi-temporal MODIS NDVI data
-
Lunetta, R. S., Knight, J. F., Ediriwickrema, J., Lyon, J. G. & Worthy, L. D. Land-cover change detection using multi-temporal MODIS NDVI data. Remote Sens. Environ. 105, 142-154, https://doi.org/10.1016/j.rse.2006.06.018 (2006).
-
(2006)
Remote Sens. Environ.
, vol.105
, pp. 142-154
-
-
Lunetta, R.S.1
Knight, J.F.2
Ediriwickrema, J.3
Lyon, J.G.4
Worthy, L.D.5
-
13
-
-
84988841366
-
-
NASS
-
NASS. Cropscape and Cropland Data Layer, http://www.nass.usda.gov/Research-and-Science/Cropland/SARS1a.php (2017).
-
(2017)
Cropscape and Cropland Data Layer
-
-
-
14
-
-
84994607536
-
Rapid corn and soybean mapping in US Corn Belt and neighboring areas
-
Zhong, L., Yu, L., Li, X., Hu, L. & Gong, P. Rapid corn and soybean mapping in US Corn Belt and neighboring areas. Sci. Rep. 6, 36240, https://doi.org/10.1038/srep36240 (2016).
-
(2016)
Sci. Rep.
, vol.6
, pp. 36240
-
-
Zhong, L.1
Yu, L.2
Li, X.3
Hu, L.4
Gong, P.5
-
15
-
-
85014705870
-
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
-
Xiong, J. et al. Automated cropland mapping of continental Africa using Google Earth Engine cloud computing. ISPRS J. Photogramm. Remote Sens. 126, 225-244, https://doi.org/10.1016/j.isprsjprs.2017.01.019 (2017).
-
(2017)
ISPRS J. Photogramm. Remote Sens.
, vol.126
, pp. 225-244
-
-
Xiong, J.1
-
16
-
-
84897374226
-
Near real-time prediction of U.S. Corn yields based on time-series MODIS data
-
Sakamoto, T., Gitelson, A. A. & Arkebauer, T. J. Near real-time prediction of U.S. corn yields based on time-series MODIS data. Remote Sens. Environ. 147, 219-231, https://doi.org/10.1016/j.rse.2014.03.008 (2014).
-
(2014)
Remote Sens. Environ.
, vol.147
, pp. 219-231
-
-
Sakamoto, T.1
Gitelson, A.A.2
Arkebauer, T.J.3
-
17
-
-
33947676794
-
Completion of the 2001 national land cover database for the conterminous United States
-
Homer, C. et al. Completion of the 2001 National Land Cover Database for the conterminous United States. Photogramm. Eng. Remote Sens. 73, 337-341 (2007).
-
(2007)
Photogramm. Eng. Remote Sens.
, vol.73
, pp. 337-341
-
-
Homer, C.1
-
18
-
-
84887724460
-
High-resolution global maps of 21st-century forest cover change
-
Hansen, M. C. et al. High-resolution global maps of 21st-century forest cover change. Science 342, 850-853, https://doi.org/10.1126/science.1244693 (2013).
-
(2013)
Science
, vol.342
, pp. 850-853
-
-
Hansen, M.C.1
-
19
-
-
77958478647
-
Monitoring agricultural cropping patterns across the Laurentian Great Lakes Basin using MODIS-NDVI data
-
Lunetta, R. S., Shao, Y., Ediriwickrema, J. & Lyon, J. G. Monitoring agricultural cropping patterns across the Laurentian Great Lakes Basin using MODIS-NDVI data. Int. J. Appl. Earth Obs. Geoinf. 12, 81-88, https://doi.org/10.1016/j.jag.2009.11.005 (2010).
-
(2010)
Int. J. Appl. Earth Obs. Geoinf.
, vol.12
, pp. 81-88
-
-
Lunetta, R.S.1
Shao, Y.2
Ediriwickrema, J.3
Lyon, J.G.4
-
20
-
-
80052699513
-
Completion of the 2006 National Land Cover Database for the Conterminous United States
-
Fry, J. A. et al. Completion of the 2006 National Land Cover Database for the Conterminous United States. Photogramm. Eng. Remote Sens. 77, 858-864 (2011).
-
(2011)
Photogramm. Eng. Remote Sens.
, vol.77
, pp. 858-864
-
-
Fry, J.A.1
-
21
-
-
84929465562
-
Completion of the 2011 national land cover database for the Conterminous United States - Representing a decade of land cover change information
-
Homer, C. et al. Completion of the 2011 national land cover database for the Conterminous United States - Representing a decade of land cover change information. Photogramm. Eng. Remote Sens. 81, 345-354, https://doi.org/10.14358/Pers.81.5.345 (2015).
-
(2015)
Photogramm. Eng. Remote Sens.
, vol.81
, pp. 345-354
-
-
Homer, C.1
-
22
-
-
0035047573
-
Spatial validation of crop models for precision agriculture
-
Basso, B., Ritchie, J. T., Pierce, F. J., Braga, R. P. & Jones, J. W. Spatial validation of crop models for precision agriculture. Agric. Syst. 68, 97-112 (2001).
-
(2001)
Agric. Syst.
, vol.68
, pp. 97-112
-
-
Basso, B.1
Ritchie, J.T.2
Pierce, F.J.3
Braga, R.P.4
Jones, J.W.5
-
23
-
-
80051906805
-
-
(U.S. Geological Survey Open-File Report 2010-1055, Reston, Virginia
-
Jenkerson, C. B., Maiersperger, T. K. & Schmidt, G. L. eMODIS: A user-friendly data source (U.S. Geological Survey Open-File Report 2010-1055, Reston, Virginia 2010).
-
(2010)
EMODIS: A User-Friendly Data Source
-
-
Jenkerson, C.B.1
Maiersperger, T.K.2
Schmidt, G.L.3
-
25
-
-
0344972104
-
Decision tree classification of land cover from remotely sensed data
-
Friedl, M. A. & Brodley, C. E. Decision tree classification of land cover from remotely sensed data. Remote Sens. Environ. 61, 399-409, https://doi.org/10.1016/S0034-4257(97)00049-7 (1997).
-
(1997)
Remote Sens. Environ.
, vol.61
, pp. 399-409
-
-
Friedl, M.A.1
Brodley, C.E.2
-
26
-
-
4143112403
-
Development of a 2001 national land-cover database for the United States
-
Homer, C., Huang, C. Q., Yang, L. M., Wylie, B. & Coan, M. Development of a 2001 national land-cover database for the United States. Photogramm. Eng. Remote Sens. 70, 829-840 (2004).
-
(2004)
Photogramm. Eng. Remote Sens.
, vol.70
, pp. 829-840
-
-
Homer, C.1
Huang, C.Q.2
Yang, L.M.3
Wylie, B.4
Coan, M.5
-
27
-
-
84899699705
-
Distribution and landscape controls of organic layer thickness and carbon within the Alaskan Yukon River Basin
-
Pastick, N. J. et al. Distribution and landscape controls of organic layer thickness and carbon within the Alaskan Yukon River Basin. Geoderma 230-231, 79-94, https://doi.org/10.1016/j.geoderma.2014.04.008 (2014).
-
(2014)
Geoderma
, vol.230-231
, pp. 79-94
-
-
Pastick, N.J.1
-
28
-
-
84892170402
-
Synergistic use of optical and PolSAR imagery for urban impervious surface estimation
-
Guo, H., Yang, H., Sun, Z., Li, X. & Wang, C. Synergistic use of optical and PolSAR imagery for urban impervious surface estimation. Photogrammetric Engineering & Remote Sensing 80, 91-102, https://doi.org/10.14358/pers.80.1.91 (2014).
-
(2014)
Photogrammetric Engineering & Remote Sensing
, vol.80
, pp. 91-102
-
-
Guo, H.1
Yang, H.2
Sun, Z.3
Li, X.4
Wang, C.5
-
29
-
-
85021727116
-
Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method
-
Sun, Z., Leinenkugel, P., Guo, H., Huang, C. & Kuenzer, C. Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method. J. Appl. Remote Sens. 11, 026011, https://doi.org/10.1117/1.jrs.11.026011 (2017).
-
(2017)
J. Appl. Remote Sens.
, vol.11
, pp. 026011
-
-
Sun, Z.1
Leinenkugel, P.2
Guo, H.3
Huang, C.4
Kuenzer, C.5
-
30
-
-
38349046524
-
-
eds C. R. Rao, E. J. Wegman, & J. L. Solka) Elsevier
-
Sutton, C. D. 11 - Classification and Regression Trees, Bagging, and Boosting in Handbook of Statistics Vol. 24 (eds C. R. Rao, E. J. Wegman, & J. L. Solka) 303-329 (Elsevier, 2005).
-
(2005)
11 - Classification and Regression Trees, Bagging, and Boosting in Handbook of Statistics
, vol.24
, pp. 303-329
-
-
Sutton, C.D.1
-
33
-
-
85019714568
-
An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data
-
Gu, Y. et al. An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data. Remote Sens. 8, 943, https://doi.org/10.3390/rs8110943 (2016).
-
(2016)
Remote Sens.
, vol.8
, pp. 943
-
-
Gu, Y.1
-
34
-
-
85048095420
-
-
Plublications
-
Plublications. National Crop Progress, https://www.nass.usda.gov/Publications/National-Crop-Progress/(2018).
-
(2018)
National Crop Progress
-
-
-
35
-
-
85019707809
-
Grassland and cropland net ecosystem production of the U.S. Great Plains: Regression tree model development and comparative analysis
-
Wylie, B. et al. Grassland and cropland net ecosystem production of the U.S. Great Plains: Regression tree model development and comparative analysis. Remote Sens. 8, 944, https://doi.org/10.3390/rs8110944 (2016).
-
(2016)
Remote Sens.
, vol.8
, pp. 944
-
-
Wylie, B.1
-
36
-
-
84055177847
-
Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems
-
Glenn, E. P., Neale, C. M. U., Hunsaker, D. J. & Nagler, P. L. Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems. Hydrol. Process. 25, 4050-4062, https://doi.org/10.1002/hyp.8392 (2011).
-
(2011)
Hydrol. Process.
, vol.25
, pp. 4050-4062
-
-
Glenn, E.P.1
Neale, C.M.U.2
Hunsaker, D.J.3
Nagler, P.L.4
-
37
-
-
84928311237
-
-
January
-
Idaho Department of Water Resources (IDWR). Enhanced Snake Plain Aquifer Model Version 2.1 (January 2013), https://www. idwr.idaho.gov/Browse/WaterInfo/ESPAM/ESPAM-2-Final-Report/ESPAM21FinalReport.pdf.
-
(2013)
Enhanced Snake Plain Aquifer Model Version 2.1
-
-
-
38
-
-
70349551475
-
Estimation of crop coefficients using satellite remote sensing
-
Singh, R. K. & Irmak, A. Estimation of crop coefficients using satellite remote sensing. Journal of Irrigation and Drainage Engineering 135, 597-608, https://doi.org/10.1061/(ASCE)IR.1943-4774.0000052 (2009).
-
(2009)
Journal of Irrigation and Drainage Engineering
, vol.135
, pp. 597-608
-
-
Singh, R.K.1
Irmak, A.2
-
39
-
-
85018492301
-
Recent grassland losses are concentrated around U.S. Ethanol refineries
-
Wright, C. K., Larson, B., Lark, T. J. & Gibbs, H. K. Recent grassland losses are concentrated around U.S. ethanol refineries. Environ. Res. Lett. 12, 044001, https://doi.org/10.1088/1748-9326/aa6446 (2017).
-
Environ. Res. Lett.
, vol.12
, pp. 044001
-
-
Wright, C.K.1
Larson, B.2
Lark, T.J.3
Gibbs, H.K.4
-
40
-
-
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, 290-310, https://doi.org/10.1016/j.rse.2006.11.021 (2007).
-
(2007)
Remote Sens. Environ.
, vol.108
, pp. 290-310
-
-
Wardlow, B.D.1
Egbert, S.L.2
Kastens, J.H.3
-
41
-
-
84988841366
-
-
FAQ's
-
FAQ's. CropScape and Cropland Data Layers, https://www.nass.usda.gov/Research-and-Science/Cropland/sarsfaqs2.php#Section 3-18.0 (2017).
-
(2017)
CropScape and Cropland Data Layers
-
-
-
42
-
-
84867417663
-
A 2010 map estimate of annually tilled cropland within the conterminous United States
-
Johnson, D. M. A 2010 map estimate of annually tilled cropland within the conterminous United States. Agric. Syst. 114, 95-105, https://doi.org/10.1016/j.agsy.2012.08.004 (2013).
-
(2013)
Agric. Syst.
, vol.114
, pp. 95-105
-
-
Johnson, D.M.1
-
43
-
-
84999015235
-
Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative
-
Zhu, Z. et al. Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative. ISPRS J. Photogramm. Remote Sens. 122, 206-221, https://doi.org/10.1016/j.isprsjprs.2016.11.004 (2016).
-
(2016)
ISPRS J. Photogramm. Remote Sens.
, vol.122
, pp. 206-221
-
-
Zhu, Z.1
-
44
-
-
84888050432
-
An assessment of pre- And within-season remotely sensed variables for forecasting corn and soybean yields in the United States
-
Johnson, D. M. An assessment of pre- And within-season remotely sensed variables for forecasting corn and soybean yields in the United States. Remote Sens. Environ. 141, 116-128, https://doi.org/10.1016/j.rse.2013.10.027 (2014).
-
(2014)
Remote Sens. Environ.
, vol.141
, pp. 116-128
-
-
Johnson, D.M.1
-
45
-
-
84962834139
-
POLARIS: A 30-meter probabilistic soil series map of the contiguous United States
-
Chaney, N. W. et al. POLARIS: A 30-meter probabilistic soil series map of the contiguous United States. Geoderma 274, 54-67, https://doi.org/10.1016/j.geoderma.2016.03.025 (2016).
-
(2016)
Geoderma
, vol.274
, pp. 54-67
-
-
Chaney, N.W.1
-
46
-
-
85048074795
-
-
Agricultural Statistics Board. Crop Production 2009 Summary. (USDA, NASS), https://www.nass.usda.gov/Publications/Todays- Reports/reports/cropan10.pdf.
-
Crop Production 2009 Summary. (USDA,NASS
-
-
-
47
-
-
85021759504
-
MODIS phenology-derived, multi-year distribution of conterminous U.S. Crop types
-
Massey, R. et al. MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types. Remote Sens. Environ. 198, 490-503, https://doi.org/10.1016/j.rse.2017.06.033 (2017).
-
(2017)
Remote Sens. Environ.
, vol.198
, pp. 490-503
-
-
Massey, R.1
-
48
-
-
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, 1-13, https://doi.org/10.1016/j.rse.2013.08.023 (2014).
-
(2014)
Remote Sens. Environ.
, vol.140
, pp. 1-13
-
-
Zhong, L.1
Gong, P.2
Biging, G.S.3
-
49
-
-
85010281688
-
Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening?
-
Zhang, Y., Song, C., Band, L. E., Sun, G. & Li, J. Reanalysis of global terrestrial vegetation trends from MODIS products: Browning or greening? Remote Sens. Environ. 191, 145-155, https://doi.org/10.1016/j.rse.2016.12.018 (2017).
-
(2017)
Remote Sens. Environ.
, vol.191
, pp. 145-155
-
-
Zhang, Y.1
Song, C.2
Band, L.E.3
Sun, G.4
Li, J.5
-
50
-
-
85048118485
-
-
MODIS Land Quality Assessment, https://landweb.modaps.eosdis.nasa.gov/cgi-bin/QA-WWW/newPage.cgi (2017).
-
(2017)
MODIS Land Quality Assessment
-
-
-
51
-
-
84959145150
-
The application of genomics and bioinformatics to accelerate crop improvement in a changing climate
-
Batley, J. & Edwards, D. The application of genomics and bioinformatics to accelerate crop improvement in a changing climate. Current Opinion in Plant Biology 30, 78-81, https://doi.org/10.1016/j.pbi.2016.02.002 (2016).
-
(2016)
Current Opinion in Plant Biology
, vol.30
, pp. 78-81
-
-
Batley, J.1
Edwards, D.2
|