메뉴 건너뛰기




Volumn 69, Issue , 2018, Pages 133-147

Mapping croplands, cropping patterns, and crop types using MODIS time-series data

Author keywords

Brazil; Crop types; Croplands; Cropping patterns; Decision tree classifier; MODIS NDVI

Indexed keywords

AGRICULTURAL LAND; ALGORITHM; CROPPING PRACTICE; DECISION ANALYSIS; INTERPOLATION; MAPPING; MODIS; NDVI; TEMPORAL ANALYSIS; TIME SERIES ANALYSIS;

EID: 85053592443     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2018.03.005     Document Type: Article
Times cited : (159)

References (65)
  • 1
    • 82055186457 scopus 로고    scopus 로고
    • Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil
    • Arvor, D., Jonathan, M., Meirelles, M.S.P., Dubreuil, V., Durieux, L., Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil. Int. J. Remote Sens. 32 (2011), 7847–7871, 10.1080/01431161.2010.531783.
    • (2011) Int. J. Remote Sens. , vol.32 , pp. 7847-7871
    • Arvor, D.1    Jonathan, M.2    Meirelles, M.S.P.3    Dubreuil, V.4    Durieux, L.5
  • 2
    • 84884386429 scopus 로고    scopus 로고
    • Mapping and spatial analysis of the soybean agricultural frontier in Mato Grosso, Brazil, using remote sensing data
    • Arvor, D., Dubreuil, V., Simões, M., Bégué, A., Mapping and spatial analysis of the soybean agricultural frontier in Mato Grosso, Brazil, using remote sensing data. GeoJournal 78 (2012), 833–850, 10.1007/s10708-012-9469-3.
    • (2012) GeoJournal , vol.78 , pp. 833-850
    • Arvor, D.1    Dubreuil, V.2    Simões, M.3    Bégué, A.4
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L., Random forests. Mach. Learn. 45:1 (2001), 5–32.
    • (2001) Mach. Learn. , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 4
    • 34247504106 scopus 로고    scopus 로고
    • Multitemporal, moderate-spatial-resolution remote sensing of modern agricultural production and land modification in the Brazilian Amazon
    • Brown, J.C., Jepson, W.E., Kastens, J.H., Wardlow, B.D., Lomas, J.M., Price, K.P., Multitemporal, moderate-spatial-resolution remote sensing of modern agricultural production and land modification in the Brazilian Amazon. GISci. Remote Sens. 44 (2007), 117–148, 10.2747/1548-1603.44.2.117.
    • (2007) GISci. Remote Sens. , vol.44 , pp. 117-148
    • Brown, J.C.1    Jepson, W.E.2    Kastens, J.H.3    Wardlow, B.D.4    Lomas, J.M.5    Price, K.P.6
  • 5
    • 84870666272 scopus 로고    scopus 로고
    • Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data
    • Brown, J.C., Kastens, J.H., Coutinho, A.C., Victoria, D.D.C., Bishop, C.R., Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data. Remote Sens. Environ. 130 (2013), 39–50, 10.1016/j.rse.2012.11.009.
    • (2013) Remote Sens. Environ. , vol.130 , pp. 39-50
    • Brown, J.C.1    Kastens, J.H.2    Coutinho, A.C.3    Victoria, D.D.C.4    Bishop, C.R.5
  • 6
    • 63949083045 scopus 로고    scopus 로고
    • Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
    • Chander, G., Markham, B.L., Helder, D.L., Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sens. Environ. 113 (2009), 893–903, 10.1016/j.rse.2009.01.007.
    • (2009) Remote Sens. Environ. , vol.113 , pp. 893-903
    • Chander, G.1    Markham, B.L.2    Helder, D.L.3
  • 7
    • 36448968934 scopus 로고    scopus 로고
    • Corn and soybean mapping in the United States using MODIS time-series data sets
    • Chang, J., Hansen, M.C., Pittman, K., Carroll, M., DiMiceli, C., Corn and soybean mapping in the United States using MODIS time-series data sets. Agron. J. 99 (2007), 1654–1664, 10.2134/agronj2007.0170.
    • (2007) Agron. J. , vol.99 , pp. 1654-1664
    • Chang, J.1    Hansen, M.C.2    Pittman, K.3    Carroll, M.4    DiMiceli, C.5
  • 8
    • 2942739366 scopus 로고    scopus 로고
    • A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter
    • Chen, J., Jönsson, P., Tamura, M., Gu, Z., Matsushita, B., Eklundh, L., A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter. Remote Sens. Environ. 91 (2004), 332–344, 10.1016/j.rse.2004.03.014.
    • (2004) Remote Sens. Environ. , vol.91 , pp. 332-344
    • Chen, J.1    Jönsson, P.2    Tamura, M.3    Gu, Z.4    Matsushita, B.5    Eklundh, L.6
  • 9
    • 84943374725 scopus 로고    scopus 로고
    • Detection of vegetation abundance change in the alpine tree line using multitemporal Landsat Thematic Mapper imagery
    • Chen, Y., Lu, D., Luo, G., Huang, J., Detection of vegetation abundance change in the alpine tree line using multitemporal Landsat Thematic Mapper imagery. Int. J. Remote Sens. 36 (2015), 4683–4701, 10.1080/01431161.2015.1088675.
    • (2015) Int. J. Remote Sens. , vol.36 , pp. 4683-4701
    • Chen, Y.1    Lu, D.2    Luo, G.3    Huang, J.4
  • 10
    • 84982161924 scopus 로고    scopus 로고
    • Impacts of spatial heterogeneity on crop area mapping in Canada using MODIS data
    • Chen, Y., Song, X., Wang, S., Huang, J., Mansaray, L.R., Impacts of spatial heterogeneity on crop area mapping in Canada using MODIS data. ISPRS J. Photogramm. Remote Sens. 119 (2016), 451–461, 10.1016/j.isprsjprs.2016.07.007.
    • (2016) ISPRS J. Photogramm. Remote Sens. , vol.119 , pp. 451-461
    • Chen, Y.1    Song, X.2    Wang, S.3    Huang, J.4    Mansaray, L.R.5
  • 11
    • 84962385250 scopus 로고    scopus 로고
    • Patterns and processes of pasture to crop conversion in Brazil: evidence from Mato Grosso state
    • Cohn, A.S., Gil, J., Berger, T., Pellegrina, H., Toledo, C., Patterns and processes of pasture to crop conversion in Brazil: evidence from Mato Grosso state. Land Use Policy 55 (2016), 108–120, 10.1016/j.landusepol.2016.03.005.
    • (2016) Land Use Policy , vol.55 , pp. 108-120
    • Cohn, A.S.1    Gil, J.2    Berger, T.3    Pellegrina, H.4    Toledo, C.5
  • 12
    • 84871294336 scopus 로고    scopus 로고
    • Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
    • CRC press
    • Congalton, R.G., Green, K., Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. 2008, CRC press.
    • (2008)
    • Congalton, R.G.1    Green, K.2
  • 14
    • 85027932401 scopus 로고    scopus 로고
    • Patterns of land use, extensification, and intensification of Brazilian agriculture
    • Dias, L.C.P., Pimenta, F.M., Santos, A.B., Costa, M.H., Ladle, R.J., Patterns of land use, extensification, and intensification of Brazilian agriculture. Global Change Biol. 22 (2016), 2887–2903, 10.1111/gcb.13314.
    • (2016) Global Change Biol. , vol.22 , pp. 2887-2903
    • Dias, L.C.P.1    Pimenta, F.M.2    Santos, A.B.3    Costa, M.H.4    Ladle, R.J.5
  • 15
    • 77953700764 scopus 로고    scopus 로고
    • Estimating soybean crop areas using spectral-temporal surfaces derived from MODIS images in Mato Grosso, Brazil
    • Epiphanio, R.D.V., Formaggio, A.R., Rudorff, B.F.T., Maeda, E.E., Luiz, A.J.B., Estimating soybean crop areas using spectral-temporal surfaces derived from MODIS images in Mato Grosso, Brazil. Pesq. Agropec. Bras. 45 (2010), 72–80, 10.1590/S0100-204X2010000100010.
    • (2010) Pesq. Agropec. Bras. , vol.45 , pp. 72-80
    • Epiphanio, R.D.V.1    Formaggio, A.R.2    Rudorff, B.F.T.3    Maeda, E.E.4    Luiz, A.J.B.5
  • 16
    • 2942658133 scopus 로고    scopus 로고
    • FAOSTAT Statistical Database
    • Food and Agriculture Organization of the United Nations Rome
    • FAO (Food and Agriculture Organization of the United Nations), FAOSTAT Statistical Database. 2015, Food and Agriculture Organization of the United Nations, Rome.
    • (2015)
  • 17
    • 67349093551 scopus 로고    scopus 로고
    • Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
    • Foody, G.M., Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority. Remote Sens. Environ. 113 (2009), 1658–1663, 10.1016/j.rse.2009.03.014.
    • (2009) Remote Sens. Environ. , vol.113 , pp. 1658-1663
    • Foody, G.M.1
  • 18
    • 38049035787 scopus 로고    scopus 로고
    • Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil
    • Galford, G.L., Mustard, J.F., Melillo, J., Gendrin, A., Cerri, C.C., Cerri, C.E.P., Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil. Remote Sens. Environ. 112 (2008), 576–587, 10.1016/j.rse.2007.05.017.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 576-587
    • Galford, G.L.1    Mustard, J.F.2    Melillo, J.3    Gendrin, A.4    Cerri, C.C.5    Cerri, C.E.P.6
  • 19
    • 84960127106 scopus 로고    scopus 로고
    • Mapping soya bean and corn crops in the State of Paraná, Brazil, using EVI images from the MODIS sensor
    • Grzegozewski, D.M., Johann, J.A., Uribe-Opazo, M.A., Mercante, E., Coutinho, A.C., Mapping soya bean and corn crops in the State of Paraná, Brazil, using EVI images from the MODIS sensor. Int. J. Remote Sens. 37 (2016), 1257–1275, 10.1080/01431161.2016.1148285.
    • (2016) Int. J. Remote Sens. , vol.37 , pp. 1257-1275
    • Grzegozewski, D.M.1    Johann, J.A.2    Uribe-Opazo, M.A.3    Mercante, E.4    Coutinho, A.C.5
  • 20
    • 84957890429 scopus 로고    scopus 로고
    • Mapping rice cropping systems in Vietnam using an NDVI-based time-series similarity measurement based on DTW distance
    • Guan, X., Huang, C., Liu, G., Meng, X., Liu, Q., Mapping rice cropping systems in Vietnam using an NDVI-based time-series similarity measurement based on DTW distance. Remote Sens., 8, 2016, 19, 10.3390/rs8010019.
    • (2016) Remote Sens. , vol.8 , pp. 19
    • Guan, X.1    Huang, C.2    Liu, G.3    Meng, X.4    Liu, Q.5
  • 21
    • 84896308273 scopus 로고    scopus 로고
    • Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010
    • Gumma, M.K., Thenkabail, P.S., Maunahan, A., Islam, S., Nelson, A., Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010. ISPRS J. Photogramm. Remote Sens. 91 (2014), 98–113, 10.1016/j.isprsjprs.2014.02.007.
    • (2014) ISPRS J. Photogramm. Remote Sens. , vol.91 , pp. 98-113
    • Gumma, M.K.1    Thenkabail, P.S.2    Maunahan, A.3    Islam, S.4    Nelson, A.5
  • 22
    • 84965031268 scopus 로고    scopus 로고
    • Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data
    • Gumma, M.K., Thenkabail, P.S., Teluguntla, P., Rao, M.N., Mohammed, I.A., Whitbread, A.M., Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data. Int. J. Digital Earth 9:10 (2016), 981–1003, 10.1080/17538947.2016.1168489.
    • (2016) Int. J. Digital Earth , vol.9 , Issue.10 , pp. 981-1003
    • Gumma, M.K.1    Thenkabail, P.S.2    Teluguntla, P.3    Rao, M.N.4    Mohammed, I.A.5    Whitbread, A.M.6
  • 23
    • 84899999584 scopus 로고    scopus 로고
    • Assessing the MODIS crop detection algorithm for soybean crop area mapping and expansion in the Mato Grosso state, Brazil
    • Gusso, A., Arvor, D., Ricardo Ducati, J., Veronez, M.R., Da Silveira, L.G., Assessing the MODIS crop detection algorithm for soybean crop area mapping and expansion in the Mato Grosso state, Brazil. Sci. World J., 2014, 2014, 10.1155/2014/863141.
    • (2014) Sci. World J. , vol.2014
    • Gusso, A.1    Arvor, D.2    Ricardo Ducati, J.3    Veronez, M.R.4    Da Silveira, L.G.5
  • 24
    • 84930024323 scopus 로고    scopus 로고
    • 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, 2015, 5347, 10.3390/rs70505347.
    • (2015) Remote Sens. , vol.7 , pp. 5347
    • Hao, P.1    Zhan, Y.2    Wang, L.3    Niu, Z.4    Shakir, M.5
  • 25
    • 85064078941 scopus 로고    scopus 로고
    • Crop Statistics in Brazilian Institute of Geography and Statistics
    • SIDRA
    • IBGE (Brazilian Institute of Geography and Statistics), Crop Statistics in Brazilian Institute of Geography and Statistics. 2015, SIDRA.
    • (2015)
  • 26
    • 5144233854 scopus 로고    scopus 로고
    • TIMESAT-a program for analyzing time-series of satellite sensor data
    • Jönsson, P., Eklundh, L., TIMESAT-a program for analyzing time-series of satellite sensor data. Comput. Geosci. 30 (2004), 833–845, 10.1016/j.cageo.2004.05.006.
    • (2004) Comput. Geosci. , vol.30 , pp. 833-845
    • Jönsson, P.1    Eklundh, L.2
  • 27
  • 28
    • 84879046168 scopus 로고    scopus 로고
    • A comparative analysis of classification algorithms and multiple sensor data for land use/land cover classification in the Brazilian Amazon
    • Li, G., Lu, D., Moran, E., Sant'Anna, S.J.S., A comparative analysis of classification algorithms and multiple sensor data for land use/land cover classification in the Brazilian Amazon. J. Appl. Remote Sens., 6(1), 2012, 061706, 10.1117/1. JRS.6 061706.
    • (2012) J. Appl. Remote Sens. , vol.6 , Issue.1 , pp. 061706
    • Li, G.1    Lu, D.2    Moran, E.3    Sant'Anna, S.J.S.4
  • 29
    • 5044236302 scopus 로고    scopus 로고
    • Cropland distributions from temporal unmixing of MODIS data
    • Lobell, D.B., Asner, G.P., Cropland distributions from temporal unmixing of MODIS data. Remote Sens. Environ. 93 (2004), 412–422, 10.1016/j.rse.2004.08.002.
    • (2004) Remote Sens. Environ. , vol.93 , pp. 412-422
    • Lobell, D.B.1    Asner, G.P.2
  • 30
    • 33947591833 scopus 로고    scopus 로고
    • A survey of image classification methods and techniques for improving classification performance
    • Lu, D., Weng, Q., A survey of image classification methods and techniques for improving classification performance. Int. J. Remote Sens. 28 (2007), 823–870, 10.1080/01431160600746456.
    • (2007) Int. J. Remote Sens. , vol.28 , pp. 823-870
    • Lu, D.1    Weng, Q.2
  • 31
    • 85009544198 scopus 로고    scopus 로고
    • Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research
    • Lu, D., Mausel, P., Brondizio, E., Moran, E., Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. Int. J. Remote Sens. 23 (2002), 2651–2671, 10.1080/01431160110109642.
    • (2002) Int. J. Remote Sens. , vol.23 , pp. 2651-2671
    • Lu, D.1    Mausel, P.2    Brondizio, E.3    Moran, E.4
  • 32
    • 0038622775 scopus 로고    scopus 로고
    • Linear mixture model applied to Amazonian vegetation classification
    • Lu, D., Moran, E., Batistella, M., Linear mixture model applied to Amazonian vegetation classification. Remote Sens. Environ. 87 (2003), 456–469, 10.1016/j.rse.2002.06.001.
    • (2003) Remote Sens. Environ. , vol.87 , pp. 456-469
    • Lu, D.1    Moran, E.2    Batistella, M.3
  • 34
    • 84918827996 scopus 로고    scopus 로고
    • A comparative analysis of approaches for successional vegetation classification in the Brazilian Amazon
    • Lu, D., Li, G., Moran, E., Kuang, W., A comparative analysis of approaches for successional vegetation classification in the Brazilian Amazon. GISci. Remote Sens. 51 (2014), 695–709, 10.1080/15481603.2014.983338.
    • (2014) GISci. Remote Sens. , vol.51 , pp. 695-709
    • Lu, D.1    Li, G.2    Moran, E.3    Kuang, W.4
  • 35
    • 77958478647 scopus 로고    scopus 로고
    • 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 (2010), 81–88, 10.1016/j.jag.2009.11.005.
    • (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
  • 37
    • 1642359341 scopus 로고    scopus 로고
    • An automated approach to mapping corn from Landsat imagery
    • Maxwell, S.K., Nuckols, J.R., Ward, M.H., Hoffer, R.M., An automated approach to mapping corn from Landsat imagery. Comput. Electron. Agric. 43 (2004), 43–54, 10.1016/j.compag.2003.09.001.
    • (2004) Comput. Electron. Agric. , vol.43 , pp. 43-54
    • Maxwell, S.K.1    Nuckols, J.R.2    Ward, M.H.3    Hoffer, R.M.4
  • 38
    • 84920102042 scopus 로고    scopus 로고
    • Radiometric cross calibration of Landsat 8 operational land imager (OLI) and Landsat 7 enhanced thematic mapper plus (ETM+)
    • Mishra, N., Haque, M.O., Leigh, L., Aaron, D., Helder, D., Markham, B., Radiometric cross calibration of Landsat 8 operational land imager (OLI) and Landsat 7 enhanced thematic mapper plus (ETM+). Remote Sens. 6 (2014), 12619–12638, 10.3390/rs61212619.
    • (2014) Remote Sens. , vol.6 , pp. 12619-12638
    • Mishra, N.1    Haque, M.O.2    Leigh, L.3    Aaron, D.4    Helder, D.5    Markham, B.6
  • 39
    • 0019895242 scopus 로고
    • Crop identification using Landsat temporal-spectral profiles
    • Odenweller, J.B., Crop identification using Landsat temporal-spectral profiles. Remote Sens. Environ. 14 (1984), 39–54, 10.1016/0034-4257(84)90006-3.
    • (1984) Remote Sens. Environ. , vol.14 , pp. 39-54
    • Odenweller, J.B.1
  • 40
    • 77949486575 scopus 로고    scopus 로고
    • The spatial distribution of crop types from MODIS data: temporal unmixing using independent component analysis
    • Ozdogan, M., The spatial distribution of crop types from MODIS data: temporal unmixing using independent component analysis. Remote Sens. Environ. 114 (2010), 1190–1204, 10.1016/j.rse.2010.01.006.
    • (2010) Remote Sens. Environ. , vol.114 , pp. 1190-1204
    • Ozdogan, M.1
  • 41
    • 84862796316 scopus 로고    scopus 로고
    • Winter wheat area estimation from MODIS-EVI time series data using the crop proportion phenology index
    • Pan, Y., Li, L., Zhang, J., Liang, S., Zhu, X., Sulla-Menashe, D., Winter wheat area estimation from MODIS-EVI time series data using the crop proportion phenology index. Remote Sens. Environ. 119 (2012), 232–242, 10.1016/j.rse.2011.10.011.
    • (2012) Remote Sens. Environ. , vol.119 , pp. 232-242
    • Pan, Y.1    Li, L.2    Zhang, J.3    Liang, S.4    Zhu, X.5    Sulla-Menashe, D.6
  • 42
    • 84860390393 scopus 로고    scopus 로고
    • Studies on the rapid expansion of sugarcane for ethanol production in São Paulo State (Brazil) using landsat data
    • Rudorff, B.F.T., Aguiar, D.A., Silva, W.F., Sugawara, L.M., Adami, M., Moreira, M.A., Studies on the rapid expansion of sugarcane for ethanol production in São Paulo State (Brazil) using landsat data. Remote Sens., 2, 2010, 1057, 10.3390/rs2041057.
    • (2010) Remote Sens. , vol.2 , pp. 1057
    • Rudorff, B.F.T.1    Aguiar, D.A.2    Silva, W.F.3    Sugawara, L.M.4    Adami, M.5    Moreira, M.A.6
  • 43
    • 0042553279 scopus 로고
    • Smoothing and differentiation of data by simplified least squares procedures
    • Savitzky, A., Golay, M.J., Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 36 (1964), 1627–1639.
    • (1964) Anal. Chem. , vol.36 , pp. 1627-1639
    • Savitzky, A.1    Golay, M.J.2
  • 44
    • 85008422868 scopus 로고    scopus 로고
    • Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data
    • Teluguntla, P., Thenkabail, P.S., Xiong, J., Gumma, M.K., Congalton, R.G., Oliphant, A., Poehnelt, J., Yadav, K., Rao, M., Massey, R., Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data. Int. J. Digital Earth, 2017, 10.1080/17538947.2016.1267269.
    • (2017) Int. J. Digital Earth
    • Teluguntla, P.1    Thenkabail, P.S.2    Xiong, J.3    Gumma, M.K.4    Congalton, R.G.5    Oliphant, A.6    Poehnelt, J.7    Yadav, K.8    Rao, M.9    Massey, R.10
  • 45
    • 33846820103 scopus 로고    scopus 로고
    • A global map of rainfed cropland areas at the end of last millennium using remote sensing and geospatial techniques
    • Thenkabail, P.S., Velpuri, M., A global map of rainfed cropland areas at the end of last millennium using remote sensing and geospatial techniques. Proc. SPIE 11 (2006), 114–129, 10.1117/12.713204.
    • (2006) Proc. SPIE , vol.11 , pp. 114-129
    • Thenkabail, P.S.1    Velpuri, M.2
  • 46
    • 84869238704 scopus 로고    scopus 로고
    • An automated cropland classification algorithm (ACCA) for Tajikistan by combining Landsat, MODIS, and secondary data
    • Thenkabail, P.S., Wu, Z., An automated cropland classification algorithm (ACCA) for Tajikistan by combining Landsat, MODIS, and secondary data. Remote Sens., 4, 2012, 2890, 10.3390/rs4102890.
    • (2012) Remote Sens. , vol.4 , pp. 2890
    • Thenkabail, P.S.1    Wu, Z.2
  • 47
    • 15744396383 scopus 로고    scopus 로고
    • Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data
    • Thenkabail, P.S., Schull, M., Turral, H., Ganges and Indus river basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data. Remote Sens. Environ. 95 (2005), 317–341, 10.1016/j.rse.2004.12.018.
    • (2005) Remote Sens. Environ. , vol.95 , pp. 317-341
    • Thenkabail, P.S.1    Schull, M.2    Turral, H.3
  • 48
    • 84871290022 scopus 로고    scopus 로고
    • Cropland area estimates using MODIS-NDVI times series in the state of Mato Grosso, Brazil
    • Victoria, D.d.C., Paz, A.R.d., Coutinho, A.C., Brown, J.C., Cropland area estimates using MODIS-NDVI times series in the state of Mato Grosso, Brazil. Pesq. Agropec. Bras. 47 (2012), 1270–1278, 10.1590/S0100-204X2012000900012.
    • (2012) Pesq. Agropec. Bras. , vol.47 , pp. 1270-1278
    • Victoria, D.D.C.1    Paz, A.R.D.2    Coutinho, A.C.3    Brown, J.C.4
  • 49
    • 84861335868 scopus 로고    scopus 로고
    • Object based image analysis and data mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas
    • Vieira, M.A., Formaggio, A.R., Rennó, C.D., Atzberger, C., Aguiar, D.A., Mello, M.P., Object based image analysis and data mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas. Remote Sens. Environ. 123 (2012), 553–562, 10.1016/j.rse.2012.04.011.
    • (2012) Remote Sens. Environ. , vol.123 , pp. 553-562
    • Vieira, M.A.1    Formaggio, A.R.2    Rennó, C.D.3    Atzberger, C.4    Aguiar, D.A.5    Mello, M.P.6
  • 50
    • 84864408692 scopus 로고    scopus 로고
    • Crop area mapping in West Africa using landscape stratification of MODIS time series and comparison with existing global land products
    • Vintrou, E., Desbrosse, A., Bégué, A., Traoré, S., Baron, C., Seen, D.L., Crop area mapping in West Africa using landscape stratification of MODIS time series and comparison with existing global land products. Int. J. Appl. Earth Obs. Geoinf. 14 (2012), 83–93, 10.1016/j.jag.2011.06.010.
    • (2012) Int. J. Appl. Earth Obs. Geoinf. , vol.14 , pp. 83-93
    • Vintrou, E.1    Desbrosse, A.2    Bégué, A.3    Traoré, S.4    Baron, C.5    Seen, D.L.6
  • 51
    • 0036592237 scopus 로고    scopus 로고
    • Seasonal variations in the evapotranspiration of a transitional tropical forest of Mato Grosso, Brazil
    • Vourlitis, G.L., Hayashi, M., de S Nogueira, J., Caseiro, F.T., Campelo, J.H., Seasonal variations in the evapotranspiration of a transitional tropical forest of Mato Grosso, Brazil. Water Resour. Res., 2002, 38, 10.1029/2000WR000122.
    • (2002) Water Resour. Res. , pp. 38
    • Vourlitis, G.L.1    Hayashi, M.2    de S Nogueira, J.3    Caseiro, F.T.4    Campelo, J.H.5
  • 52
    • 84862826924 scopus 로고    scopus 로고
    • Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat
    • Wang, W., Yao, X., Tian, Y., Liu, X., Ni, J., Cao, W., Zhu, Y., Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat. Field Crops Res. 129 (2012), 90–98, 10.1016/j.fcr.2012.01.014.
    • (2012) Field Crops Res. , vol.129 , pp. 90-98
    • Wang, W.1    Yao, X.2    Tian, Y.3    Liu, X.4    Ni, J.5    Cao, W.6    Zhu, Y.7
  • 53
    • 39749173163 scopus 로고    scopus 로고
    • 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 (2008), 1096–1116, 10.1016/j.rse.2007.07.019.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 1096-1116
    • Wardlow, B.D.1    Egbert, S.L.2
  • 54
    • 77951228926 scopus 로고    scopus 로고
    • A comparison of MODIS 250-m EVI and NDVI data for crop mapping: a case study for southwest Kansas
    • Wardlow, B.D., Egbert, S.L., A comparison of MODIS 250-m EVI and NDVI data for crop mapping: a case study for southwest Kansas. Int. J. Remote Sens. 31 (2010), 805–830, 10.1080/01431160902897858.
    • (2010) Int. J. Remote Sens. , vol.31 , pp. 805-830
    • Wardlow, B.D.1    Egbert, S.L.2
  • 55
    • 34247523027 scopus 로고    scopus 로고
    • 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 (2007), 290–310, 10.1016/j.rse.2006.11.021.
    • (2007) Remote Sens. Environ. , vol.108 , pp. 290-310
    • Wardlow, B.D.1    Egbert, S.L.2    Kastens, J.H.3
  • 56
  • 58
    • 85019907226 scopus 로고    scopus 로고
    • Optimising phenological metrics extraction for different crop types in Germany using the Moderate Resolution Imaging Spectrometer (MODIS)
    • Xu, X., Conrad, C., Doktor, D., Optimising phenological metrics extraction for different crop types in Germany using the Moderate Resolution Imaging Spectrometer (MODIS). Remote Sens., 9, 2017, 254, 10.3390/rs9030254.
    • (2017) Remote Sens. , vol.9 , pp. 254
    • Xu, X.1    Conrad, C.2    Doktor, D.3
  • 59
    • 54849406874 scopus 로고    scopus 로고
    • Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data
    • Zhang, M., Zhou, Q., Chen, Z., Liu, J., Zhou, Y., Cai, C., Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data. Int. J. Appl. Earth Obs. Geoinf. 10 (2008), 476–485, 10.1016/j.jag.2007.11.002.
    • (2008) Int. J. Appl. Earth Obs. Geoinf. , vol.10 , pp. 476-485
    • Zhang, M.1    Zhou, Q.2    Chen, Z.3    Liu, J.4    Zhou, Y.5    Cai, C.6
  • 60
    • 84908440807 scopus 로고    scopus 로고
    • A support vector machine to identify irrigated crop types using time-series Landsat NDVI data
    • Zheng, B., Myint, S.W., Thenkabail, P.S., Aggarwal, R.M., A support vector machine to identify irrigated crop types using time-series Landsat NDVI data. Int. J. Appl. Earth Observ. Geoinf. 34 (2015), 103–112, 10.1016/j.jag.2014.07.002.
    • (2015) Int. J. Appl. Earth Observ. Geoinf. , vol.34 , pp. 103-112
    • Zheng, B.1    Myint, S.W.2    Thenkabail, P.S.3    Aggarwal, R.M.4
  • 61
    • 84884264508 scopus 로고    scopus 로고
    • 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, 10.1016/j.rse.2013.08.023.
    • (2014) Remote Sens. Environ. , vol.140 , pp. 1-13
    • Zhong, L.1    Gong, P.2    Biging, G.S.3
  • 62
    • 84920828043 scopus 로고    scopus 로고
    • MODIS-based fractional crop mapping in the U.S. midwest with spatially constrained phenological mixture analysis
    • Zhong, C., Wang, C., Wu, C., MODIS-based fractional crop mapping in the U.S. midwest with spatially constrained phenological mixture analysis. Remote Sens., 7, 2015, 512, 10.3390/rs70100512.
    • (2015) Remote Sens. , vol.7 , pp. 512
    • Zhong, C.1    Wang, C.2    Wu, C.3
  • 63
    • 84994607536 scopus 로고    scopus 로고
    • 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., 2016, 6, 10.1038/srep36240.
    • (2016) Sci. Rep. , pp. 6
    • Zhong, L.1    Yu, L.2    Li, X.3    Hu, L.4    Gong, P.5
  • 64
    • 84957884490 scopus 로고    scopus 로고
    • Mapping fractional cropland distribution in Mato Grosso, Brazil using time series MODIS enhanced vegetation index and Landsat Thematic Mapper data
    • Zhu, C., Lu, D., Victoria, D., Dutra, L., Mapping fractional cropland distribution in Mato Grosso, Brazil using time series MODIS enhanced vegetation index and Landsat Thematic Mapper data. Remote Sens., 8, 2016, 22, 10.3390/rs8010022.
    • (2016) Remote Sens. , vol.8 , pp. 22
    • Zhu, C.1    Lu, D.2    Victoria, D.3    Dutra, L.4
  • 65
    • 85032223084 scopus 로고    scopus 로고
    • Improving the mapping of crop types in the Midwestern U.S. by fusing Landsat and MODIS satellite data
    • Zhu, L., Radeloff, V.C., Ives, A.R., Improving the mapping of crop types in the Midwestern U.S. by fusing Landsat and MODIS satellite data. Int. J. Appl. Earth Obs. Geoinf. 58 (2017), 1–11, 10.1016/j.jag.2017.01.012.
    • (2017) Int. J. Appl. Earth Obs. Geoinf. , vol.58 , pp. 1-11
    • Zhu, L.1    Radeloff, V.C.2    Ives, A.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.