메뉴 건너뛰기




Volumn 17, Issue 1, 2017, Pages

Object-based paddy rice mapping using HJ-1A/B data and temporal features extracted from time series MODIS NDVI data

Author keywords

Assam; Classification, HJ 1A B; Fusion; Object based; Paddy rice mapping; Temporal features

Indexed keywords

FOOD SUPPLY; FORESTRY; FUSION REACTIONS; MAPPING; SPECTROSCOPY; SUSTAINABLE DEVELOPMENT; TIME SERIES;

EID: 85007347969     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17010010     Document Type: Article
Times cited : (29)

References (77)
  • 2
    • 84921846832 scopus 로고    scopus 로고
    • Rice by the numbers: A good grain
    • [CrossRef]
    • Elert, E. Rice by the numbers: A good grain. Nature 2014, 514, 50. [CrossRef]
    • (2014) Nature , vol.514 , pp. 50
    • Elert, E.1
  • 4
    • 85007283224 scopus 로고    scopus 로고
    • Available online, (accessed on 9 December 2016)
    • Climate Change. Available online: http://ricepedia.org/challenges/climate-change (accessed on 9 December 2016).
    • Change, C.1
  • 8
    • 79956144041 scopus 로고    scopus 로고
    • Mapping rice planting areas in southern China using the China Environment Satellite data
    • [CrossRef]
    • Chen, J.; Huang, J.; Hu, J. Mapping rice planting areas in southern China using the China Environment Satellite data. Math. Comput. Model. 2011, 54, 1037-1043. [CrossRef]
    • (2011) Math. Comput. Model , vol.54 , pp. 1037-1043
    • Chen, J.1    Huang, J.2    Hu, J.3
  • 9
    • 0032004474 scopus 로고    scopus 로고
    • Using NOAA AVHRR and Landsat TM to estimate rice area year-by-year
    • [CrossRef]
    • Fang, H.;Wu, B.; Liu, H.; Huang, X. Using NOAA AVHRR and Landsat TM to estimate rice area year-by-year. Int. J. Remote Sens. 1998, 19, 521-525. [CrossRef]
    • (1998) Int. J. Remote Sens , vol.19 , pp. 521-525
    • Fang, H.1    Wu, B.2    Liu, H.3    Huang, X.4
  • 10
    • 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
    • [CrossRef]
    • 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. 2014, 91, 98-113. [CrossRef]
    • (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
  • 12
    • 84906313833 scopus 로고    scopus 로고
    • Paddy-rice monitoring using TanDEM-X
    • [CrossRef]
    • Rossi, C.; Erten, E. Paddy-rice monitoring using TanDEM-X. IEEE Trans. Geosci. Remote Sens. 2015, 53, 900-910. [CrossRef]
    • (2015) IEEE Trans. Geosci. Remote Sens , vol.53 , pp. 900-910
    • Rossi, C.1    Erten, E.2
  • 13
    • 84893379199 scopus 로고    scopus 로고
    • A phenology-based classification of time-series MODIS data for rice crop monitoring in Mekong Delta, Vietnam
    • [CrossRef]
    • Son, N.-T.; Chen, C.-F.; Chen, C.-R.; Duc, H.-N.; Chang, L.-Y. A phenology-based classification of time-series MODIS data for rice crop monitoring in Mekong Delta, Vietnam. Remote Sens. 2013, 6, 135-156. [CrossRef]
    • (2013) Remote Sens , vol.6 , pp. 135-156
    • Son, N.-T.1    Chen, C.-F.2    Chen, C.-R.3    Duc, H.-N.4    Chang, L.-Y.5
  • 14
    • 84944074017 scopus 로고    scopus 로고
    • Rice Fields Mapping in Fragmented Area Using Multi-Temporal HJ-1A/B CCD Images
    • [CrossRef]
    • Wang, J.; Huang, J.; Zhang, K.; Li, X.; She, B.;Wei, C.; Gao, J.; Song, X. Rice Fields Mapping in Fragmented Area Using Multi-Temporal HJ-1A/B CCD Images. Remote Sens. 2015, 7, 3467-3488. [CrossRef]
    • (2015) Remote Sens , vol.7 , pp. 3467-3488
    • Wang, J.1    Huang, J.2    Zhang, K.3    Li, X.4    She, B.5    Wei, C.6    Gao, J.7    Song, X.8
  • 15
    • 85027922810 scopus 로고    scopus 로고
    • Tracking the dynamics of paddy rice planting area in 1986-2010 through time series Landsat images and phenology-based algorithms
    • [CrossRef]
    • Dong, J.; Xiao, X.; Kou, W.; Qin, Y.; Zhang, G.; Li, L.; Jin, C.; Zhou, Y.; Wang, J.; Biradar, C. Tracking the dynamics of paddy rice planting area in 1986-2010 through time series Landsat images and phenology-based algorithms. Remote Sens. Environ. 2015, 160, 99-113. [CrossRef]
    • (2015) Remote Sens. Environ , vol.160 , pp. 99-113
    • Dong, J.1    Xiao, X.2    Kou, W.3    Qin, Y.4    Zhang, G.5    Li, L.6    Jin, C.7    Zhou, Y.8    Wang, J.9    Biradar, C.10
  • 16
    • 84941562954 scopus 로고    scopus 로고
    • Mapping rice paddy extent and intensification in the Vietnamese Mekong river delta with dense time stacks of Landsat data
    • [CrossRef]
    • Kontgis, C.; Schneider, A.; Ozdogan, M. Mapping rice paddy extent and intensification in the Vietnamese Mekong river delta with dense time stacks of Landsat data. Remote Sens. Environ. 2015, 169, 255-269. [CrossRef]
    • (2015) Remote Sens. Environ , vol.169 , pp. 255-269
    • Kontgis, C.1    Schneider, A.2    Ozdogan, M.3
  • 17
    • 77949517615 scopus 로고    scopus 로고
    • An enhanced supervised spatial decision support system of image classification:Consideration on the ancillary information of paddy rice area
    • [CrossRef]
    • Wan, S.; Lei, T.C.; Chou, T.-Y. An enhanced supervised spatial decision support system of image classification:Consideration on the ancillary information of paddy rice area. Int. J. Geogr. Inf. Sci. 2010, 24, 623-642. [CrossRef]
    • (2010) Int. J. Geogr. Inf. Sci , vol.24 , pp. 623-642
    • Wan, S.1    Lei, T.C.2    Chou, T.-Y.3
  • 18
    • 84866877949 scopus 로고    scopus 로고
    • Delineating rice cropping activities from MODIS data using wavelet transform and artificial neural networks in the Lower Mekong countries
    • [CrossRef]
    • Chen, C.F.; Chen, C.R.; Son, N.T.; Chang, L.Y. Delineating rice cropping activities from MODIS data using wavelet transform and artificial neural networks in the Lower Mekong countries. Agric. Ecosyst. Environ. 2012, 162, 127-137. [CrossRef]
    • (2012) Agric. Ecosyst. Environ. , vol.162 , pp. 127-137
    • Chen, C.F.1    Chen, C.R.2    Son, N.T.3    Chang, L.Y.4
  • 19
    • 29244490029 scopus 로고    scopus 로고
    • Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images
    • [CrossRef]
    • Xiao, X.; Boles, S.; Frolking, S.; Li, C.; Babu, J.Y.; Salas, W.; Moore, B. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sens. Environ. 2006, 100, 95-113. [CrossRef]
    • (2006) Remote Sens. Environ , vol.100 , pp. 95-113
    • Xiao, X.1    Boles, S.2    Frolking, S.3    Li, C.4    Babu, J.Y.5    Salas, W.6    Moore, B.7
  • 20
    • 80054087663 scopus 로고    scopus 로고
    • Mapping rice areas of South Asia using MODIS multitemporal data
    • [CrossRef]
    • Gumma, M.K.; Nelson, A.; Thenkabail, P.S.; Singh, A.N. Mapping rice areas of South Asia using MODIS multitemporal data. J. Appl. Remote Sens. 2011, 5, 053547. [CrossRef]
    • (2011) J. Appl. Remote Sens , vol.5 , pp. 053547
    • Gumma, M.K.1    Nelson, A.2    Thenkabail, P.S.3    Singh, A.N.4
  • 21
    • 81355147255 scopus 로고    scopus 로고
    • Estimation of Southeast Asian rice paddy areas with different ecosystems from moderate-resolution satellite imagery
    • [CrossRef]
    • Bridhikitti, A.; Overcamp, T.J. Estimation of Southeast Asian rice paddy areas with different ecosystems from moderate-resolution satellite imagery. Agric. Ecosyst. Environ. 2012, 146, 113-120. [CrossRef]
    • (2012) Agric. Ecosyst. Environ , vol.146 , pp. 113-120
    • Bridhikitti, A.1    Overcamp, T.J.2
  • 22
    • 84974782807 scopus 로고    scopus 로고
    • An Object-Based Paddy Rice Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India
    • [CrossRef]
    • Singha, M.;Wu, B.; Zhang, M. An Object-Based Paddy Rice Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India. Remote Sens. 2016, 8, 479. [CrossRef]
    • (2016) Remote Sens , vol.8 , pp. 479
    • Singha, M.1    Wu, B.2    Zhang, M.3
  • 23
    • 84961219003 scopus 로고    scopus 로고
    • Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
    • [CrossRef]
    • Dong, J.; Xiao, X.; Menarguez, M.A.; Zhang, G.; Qin, Y.; Thau, D.; Biradar, C.; Moore, B. Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine. Remote Sens. Environ. 2016, 185, 142-154. [CrossRef]
    • (2016) Remote Sens. Environ , vol.185 , pp. 142-154
    • Dong, J.1    Xiao, X.2    Menarguez, M.A.3    Zhang, G.4    Qin, Y.5    Thau, D.6    Biradar, C.7    Moore, B.8
  • 24
    • 84929192160 scopus 로고    scopus 로고
    • Mapping paddy rice planting area in wheat-rice double-cropped areas through integration of Landsat-8 OLI,MODIS, and PALSAR images
    • [CrossRef] [PubMed]
    • Wang, J.; Xiao, X.; Qin, Y.; Dong, J.; Zhang, G.; Kou, W.; Jin, C.; Zhou, Y.; Zhang, Y. Mapping paddy rice planting area in wheat-rice double-cropped areas through integration of Landsat-8 OLI,MODIS, and PALSAR images. Sci. Rep. 2015, 5, 10088. [CrossRef] [PubMed]
    • (2015) Sci. Rep , vol.5 , pp. 10088
    • Wang, J.1    Xiao, X.2    Qin, Y.3    Dong, J.4    Zhang, G.5    Kou, W.6    Jin, C.7    Zhou, Y.8    Zhang, Y.9
  • 25
    • 37249015863 scopus 로고    scopus 로고
    • The use of high-resolution image time series for crop classification and evapotranspiration estimate over an irrigated area in central Morocco
    • [CrossRef]
    • Simonneaux, V.; Duchemin, B.; Helson, D.; Er-Raki, S.; Olioso, A.; Chehbouni, A.G. The use of high-resolution image time series for crop classification and evapotranspiration estimate over an irrigated area in central Morocco. Int. J. Remote Sens. 2008, 29, 95-116. [CrossRef]
    • (2008) Int. J. Remote Sens , vol.29 , pp. 95-116
    • Simonneaux, V.1    Duchemin, B.2    Helson, D.3    Er-Raki, S.4    Olioso, A.5    Chehbouni, A.G.6
  • 26
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • [CrossRef]
    • Blaschke, T. Object based image analysis for remote sensing. ISPRS J. Photogramm. Remote Sens. 2010, 65, 2-16. [CrossRef]
    • (2010) ISPRS J. Photogramm. Remote Sens , vol.65 , pp. 2-16
    • Blaschke, T.1
  • 29
    • 77649088997 scopus 로고    scopus 로고
    • Comparison of geo-object based and pixel-based change detection of riparian environments using high spatial resolution multi-spectral imagery
    • [CrossRef]
    • Johansen, K.; Arroyo, L.A.; Phinn, S.; Witte, C. Comparison of geo-object based and pixel-based change detection of riparian environments using high spatial resolution multi-spectral imagery. Photogramm. Eng. Remote Sens. 2010, 76, 123-136. [CrossRef]
    • (2010) Photogramm. Eng. Remote Sens , vol.76 , pp. 123-136
    • Johansen, K.1    Arroyo, L.A.2    Phinn, S.3    Witte, C.4
  • 30
    • 84927723776 scopus 로고    scopus 로고
    • Mapping paddy rice areas based on vegetation phenology and surface moisture conditions
    • [CrossRef]
    • Qiu, B.; Li, W.; Tang, Z.; Chen, C.; Qi, W. Mapping paddy rice areas based on vegetation phenology and surface moisture conditions. Ecol. Indic. 2015, 56, 79-86. [CrossRef]
    • (2015) Ecol. Indic , vol.56 , pp. 79-86
    • Qiu, B.1    Li, W.2    Tang, Z.3    Chen, C.4    Qi, W.5
  • 31
    • 16344375302 scopus 로고    scopus 로고
    • Mapping paddy rice agriculture in southern China using multi-temporal MODIS images
    • [CrossRef]
    • Xiao, X.; Boles, S.; Liu, J.; Zhuang, D.; Frolking, S.; Li, C.; Salas,W.; Moore, B. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sens. Environ. 2005, 95, 480-492. [CrossRef]
    • (2005) Remote Sens. Environ , vol.95 , pp. 480-492
    • Xiao, X.1    Boles, S.2    Liu, J.3    Zhuang, D.4    Frolking, S.5    Li, C.6    Salas, W.7    Moore, B.8
  • 32
    • 33746932125 scopus 로고    scopus 로고
    • On the blending of the Landsat and MODIS surface reflectance:Predicting daily Landsat surface reflectance
    • Gao, F.; Masek, J.; Schwaller, M.; Hall, F. On the blending of the Landsat and MODIS surface reflectance:Predicting daily Landsat surface reflectance. IEEE Trans. Geosci. Remote Sens. 2006, 44, 2207-2218.
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , pp. 2207-2218
    • Gao, F.1    Masek, J.2    Schwaller, M.3    Hall, F.4
  • 33
    • 77956177720 scopus 로고    scopus 로고
    • An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
    • [CrossRef]
    • Zhu, X.; Chen, J.; Gao, F.; Chen, X.; Masek, J.G. An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions. Remote Sens. Environ. 2010, 114, 2610-2623. [CrossRef]
    • (2010) Remote Sens. Environ , vol.114 , pp. 2610-2623
    • Zhu, X.1    Chen, J.2    Gao, F.3    Chen, X.4    Masek, J.G.5
  • 34
    • 84875061699 scopus 로고    scopus 로고
    • Long term data fusion for a dense time series analysis with MODIS and Landsat imagery in an Australian Savanna
    • Schmidt, M.; Udelhoven, T.; Gill, T.; Röder, A. Long term data fusion for a dense time series analysis with MODIS and Landsat imagery in an Australian Savanna. J. Appl. Remote Sens. 2012, 6, 063512.
    • (2012) J. Appl. Remote Sens , vol.6 , pp. 063512
    • Schmidt, M.1    Udelhoven, T.2    Gill, T.3    Röder, A.4
  • 35
    • 84987748851 scopus 로고    scopus 로고
    • Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data
    • [CrossRef]
    • Li, Q.; Wang, C.; Zhang, B.; Lu, L. Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data. Remote Sens. 2015, 7, 16091-16107. [CrossRef]
    • (2015) Remote Sens , vol.7 , pp. 16091-16107
    • Li, Q.1    Wang, C.2    Zhang, B.3    Lu, L.4
  • 37
    • 85007333290 scopus 로고    scopus 로고
    • Data Pool. Available online, (accessed on 1 March 2016)
    • LP DAAC: NASA Land Data Products and Services. Data Pool. Available online: https://lpdaac.usgs.gov/ data_access/data_pool (accessed on 1 March 2016).
  • 38
    • 2942739366 scopus 로고    scopus 로고
    • A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter
    • [CrossRef]
    • 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. 2004, 91, 332-344. [CrossRef]
    • (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
  • 39
    • 84874778835 scopus 로고    scopus 로고
    • Characterisation of land surface phenology and land cover based on moderate resolution satellite data in cloud prone areas-A novel product for the Mekong Basin
    • [CrossRef]
    • Leinenkugel, P.; Kuenzer, C.; Oppelt, N.; Dech, S. Characterisation of land surface phenology and land cover based on moderate resolution satellite data in cloud prone areas-A novel product for the Mekong Basin. Remote Sens. Environ. 2013, 136, 180-198. [CrossRef]
    • (2013) Remote Sens. Environ , vol.136 , pp. 180-198
    • Leinenkugel, P.1    Kuenzer, C.2    Oppelt, N.3    Dech, S.4
  • 41
    • 84858069309 scopus 로고    scopus 로고
    • A modified neighborhood similar pixel interpolator approach for removing thick clouds in Landsat images
    • [CrossRef]
    • Zhu, X.; Gao, F.; Liu, D.; Chen, J. A modified neighborhood similar pixel interpolator approach for removing thick clouds in Landsat images. IEEE Geosci. Remote Sens. Lett. 2012, 9, 521-525. [CrossRef]
    • (2012) IEEE Geosci. Remote Sens. Lett , vol.9 , pp. 521-525
    • Zhu, X.1    Gao, F.2    Liu, D.3    Chen, J.4
  • 42
    • 85007310445 scopus 로고    scopus 로고
    • Available online, (accessed on 21 December 2016)
    • Bing Maps. Available online: https://www.bing.com/maps/ (accessed on 21 December 2016).
    • Maps, B.1
  • 43
    • 84864516710 scopus 로고    scopus 로고
    • Crop planting and type proportion method for crop acreage estimation of complex agricultural landscapes
    • [CrossRef]
    • Wu, B.; Li, Q. Crop planting and type proportion method for crop acreage estimation of complex agricultural landscapes. Int. J. Appl. Earth Obs. Geoinf. 2012, 16, 101-112. [CrossRef]
    • (2012) Int. J. Appl. Earth Obs. Geoinf , vol.16 , pp. 101-112
    • Wu, B.1    Li, Q.2
  • 45
    • 85007407503 scopus 로고    scopus 로고
    • Available online, (accessed on 1 March 2016)
    • Gateway to Indian Earth Observation. Available online: http://bhuvan.nrsc.gov.in/bhuvan_links.php (accessed on 1 March 2016).
    • Gateway to Indian Earth Observation
  • 46
    • 85007355117 scopus 로고    scopus 로고
    • Available online, (accessed on 1 March 2016)
    • Welcome to the QGIS project! Available online: http://qgis.org/en/site/ (accessed on 1 March 2016).
  • 49
    • 0003500248 scopus 로고
    • 1st ed.; Morgan Kaufmann Series Machine Learning; Morgan Kaufmann Publishers: Burlington, MA, USA
    • Quinlan, J.R. C4.5: Programs for Machine Learning , 1st ed.; Morgan Kaufmann Series Machine Learning; Morgan Kaufmann Publishers: Burlington, MA, USA, 1993.
    • (1993) C4.5: Programs for Machine Learning
    • Quinlan, J.R.1
  • 50
    • 84884688597 scopus 로고    scopus 로고
    • Mapping and evaluation of NDVI trends from synthetic time series obtained by blending Landsat and MODIS data around a coalfield on the Loess Plateau
    • [CrossRef]
    • Tian, F.; Wang, Y.; Fensholt, R.; Wang, K.; Zhang, L.; Huang, Y. Mapping and evaluation of NDVI trends from synthetic time series obtained by blending Landsat and MODIS data around a coalfield on the Loess Plateau. Remote Sens. 2013, 5, 4255-4279. [CrossRef]
    • (2013) Remote Sens , vol.5 , pp. 4255-4279
    • Tian, F.1    Wang, Y.2    Fensholt, R.3    Wang, K.4    Zhang, L.5    Huang, Y.6
  • 51
    • 79960724810 scopus 로고    scopus 로고
    • Downscaling real-time vegetation dynamics by fusing multi-temporal MODIS and Landsat NDVI in topographically complex terrain
    • [CrossRef]
    • Hwang, T.; Song, C.; Bolstad, P.V.; Band, L.E. Downscaling real-time vegetation dynamics by fusing multi-temporal MODIS and Landsat NDVI in topographically complex terrain. Remote Sens. Environ. 2011, 115, 2499-2512. [CrossRef]
    • (2011) Remote Sens. Environ. , vol.115 , pp. 2499-2512
    • Hwang, T.1    Song, C.2    Bolstad, P.V.3    Band, L.E.4
  • 52
    • 84897496899 scopus 로고    scopus 로고
    • Performance and effects of land cover type on synthetic surface reflectance data and NDVI estimates for assessment and monitoring of semi-arid rangeland
    • [CrossRef]
    • Olexa, E.M.; Lawrence, R.L. Performance and effects of land cover type on synthetic surface reflectance data and NDVI estimates for assessment and monitoring of semi-arid rangeland. Int. J. Appl. Earth Obs. Geoinf. 2014, 30, 30-41. [CrossRef]
    • (2014) Int. J. Appl. Earth Obs. Geoinf. , vol.30 , pp. 30-41
    • Olexa, E.M.1    Lawrence, R.L.2
  • 53
    • 84855434548 scopus 로고    scopus 로고
    • Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology
    • [CrossRef]
    • Walker, J.J.; De Beurs, K.M.;Wynne, R.H.; Gao, F. Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology. Remote Sens. Environ. 2012, 117, 381-393. [CrossRef]
    • (2012) Remote Sens. Environ , vol.117 , pp. 381-393
    • Walker, J.J.1    De Beurs, K.M.2    Wynne, R.H.3    Gao, F.4
  • 54
    • 84968877177 scopus 로고    scopus 로고
    • Incorporating plant phenological trajectory in exotic saltcedar detection with monthly time series of Landsat imagery
    • [CrossRef]
    • Diao, C.;Wang, L. Incorporating plant phenological trajectory in exotic saltcedar detection with monthly time series of Landsat imagery. Remote Sens. Environ. 2016, 182, 60-71. [CrossRef]
    • (2016) Remote Sens. Environ , vol.182 , pp. 60-71
    • Diao, C.1    Wang, L.2
  • 55
    • 0036699946 scopus 로고    scopus 로고
    • Seasonality extraction by function fitting to time-series of satellite sensor data. Geosci
    • [CrossRef]
    • Jonsson, P.; Eklundh, L. Seasonality extraction by function fitting to time-series of satellite sensor data. Geosci. IEEE Trans. Remote Sens. 2002, 40, 1824-1832. [CrossRef]
    • (2002) IEEE Trans. Remote Sens , vol.40 , pp. 1824-1832
    • Jonsson, P.1    Eklundh, L.2
  • 56
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of ReliefF and RReliefF
    • [CrossRef]
    • Robnik-Šikonja, M.; Kononenko, I. Theoretical and empirical analysis of ReliefF and RReliefF. Mach. Learn. 2003, 53, 23-69. [CrossRef]
    • (2003) Mach. Learn. , vol.53 , pp. 23-69
    • Robnik-Šikonja, M.1    Kononenko, I.2
  • 58
    • 77951189897 scopus 로고    scopus 로고
    • ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data
    • [CrossRef]
    • Drăgut, L.; Tiede, D.; Levick, S.R. ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data. Int. J. Geogr. Inf. Sci. 2010, 24, 859-871. [CrossRef]
    • (2010) Int. J. Geogr. Inf. Sci , vol.24 , pp. 859-871
    • Drăgut, L.1    Tiede, D.2    Levick, S.R.3
  • 59
    • 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
    • [CrossRef]
    • 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. 2012, 123, 553-562. [CrossRef]
    • (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
  • 61
    • 0035679049 scopus 로고    scopus 로고
    • Rule-based classification systems using classification and regression tree (CART) analysis
    • Lawrence, R.L.; Wright, A. Rule-based classification systems using classification and regression tree (CART) analysis. Photogramm. Eng. Remote Sens. 2001, 67, 1137-1142.
    • (2001) Photogramm. Eng. Remote Sens , vol.67 , pp. 1137-1142
    • Lawrence, R.L.1    Wright, A.2
  • 62
    • 84860601047 scopus 로고    scopus 로고
    • Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points
    • [CrossRef]
    • Shao, Y.; Lunetta, R.S. Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points. ISPRS J. Photogramm. Remote Sens. 2012, 70, 78-87. [CrossRef]
    • (2012) ISPRS J. Photogramm. Remote Sens , vol.70 , pp. 78-87
    • Shao, Y.1    Lunetta, R.S.2
  • 65
    • 84859099327 scopus 로고    scopus 로고
    • A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems
    • [CrossRef]
    • Gutiérrez, P.A.; Hervás-Martínez, C.; Martínez-Estudillo, F.J.; Carbonero, M. A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems. Inf. Sci. 2012, 197, 20-37. [CrossRef]
    • (2012) Inf. Sci , vol.197 , pp. 20-37
    • Gutiérrez, P.A.1    Hervás-Martínez, C.2    Martínez-Estudillo, F.J.3    Carbonero, M.4
  • 66
    • 57349178491 scopus 로고    scopus 로고
    • Quantifying sub-pixel signature of paddy rice field using an artificial neural network
    • [CrossRef]
    • Karkee, M.; Steward, B.L.; Tang, L.; Aziz, S.A. Quantifying sub-pixel signature of paddy rice field using an artificial neural network. Comput. Electron. Agric. 2009, 65, 65-76. [CrossRef]
    • (2009) Comput. Electron. Agric , vol.65 , pp. 65-76
    • Karkee, M.1    Steward, B.L.2    Tang, L.3    Aziz, S.A.4
  • 67
    • 79953182966 scopus 로고    scopus 로고
    • Object-based crop identification using multiple vegetation indices, textural features and crop phenology
    • [CrossRef]
    • Peña-Barragán, J.M.; Ngugi, M.K.; Plant, R.E.; Six, J. Object-based crop identification using multiple vegetation indices, textural features and crop phenology. Remote Sens. Environ. 2011, 115, 1301-1316. [CrossRef]
    • (2011) Remote Sens. Environ , vol.115 , pp. 1301-1316
    • Peña-Barragán, J.M.1    Ngugi, M.K.2    Plant, R.E.3    Six, J.4
  • 68
    • 84908079629 scopus 로고    scopus 로고
    • Effect of red-edge and texture features for object-based paddy rice crop classification using RapidEye multi-spectral satellite image data
    • [CrossRef]
    • Kim, H.-O.; Yeom, J.-M. Effect of red-edge and texture features for object-based paddy rice crop classification using RapidEye multi-spectral satellite image data. Int. J. Remote Sens. 2014, 35, 7046-7068. [CrossRef]
    • (2014) Int. J. Remote Sens , vol.35 , pp. 7046-7068
    • Kim, H.-O.1    Yeom, J.-M.2
  • 69
    • 85027932499 scopus 로고    scopus 로고
    • Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data
    • [CrossRef]
    • Li, Q.; Cao, X.; Jia, K.; Zhang, M.; Dong, Q. Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data. Int. J. Remote Sens. 2014, 35, 6076-6088. [CrossRef]
    • (2014) Int. J. Remote Sens , vol.35 , pp. 6076-6088
    • Li, Q.1    Cao, X.2    Jia, K.3    Zhang, M.4    Dong, Q.5
  • 70
    • 84871920971 scopus 로고    scopus 로고
    • Impact of land fragmentation, farm size, land ownership and crop diversity on profit and efficiency of irrigated farms in India
    • [CrossRef]
    • Manjunatha, A.V.; Anik, A.R.; Speelman, S.; Nuppenau, E.A. Impact of land fragmentation, farm size, land ownership and crop diversity on profit and efficiency of irrigated farms in India. Land Use Policy 2013, 31, 397-405. [CrossRef]
    • (2013) Land Use Policy , vol.31 , pp. 397-405
    • Manjunatha, A.V.1    Anik, A.R.2    Speelman, S.3    Nuppenau, E.A.4
  • 72
    • 84924044646 scopus 로고    scopus 로고
    • Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time
    • [CrossRef]
    • Zhu, Z.;Woodcock, C.E.; Holden, C.; Yang, Z. Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time. Remote Sens. Environ. 2015, 162, 67-83. [CrossRef]
    • (2015) Remote Sens. Environ , vol.162 , pp. 67-83
    • Zhu, Z.1    Woodcock, C.E.2    Holden, C.3    Yang, Z.4
  • 73
    • 0035892377 scopus 로고    scopus 로고
    • Cloud cover in Landsat observations of the Brazilian Amazon
    • [CrossRef]
    • Asner, G.P. Cloud cover in Landsat observations of the Brazilian Amazon. Int. J. Remote Sens. 2001, 22, 3855-3862. [CrossRef]
    • (2001) Int. J. Remote Sens , vol.22 , pp. 3855-3862
    • Asner, G.P.1
  • 74
    • 84923608088 scopus 로고    scopus 로고
    • Blending Landsat and MODIS data to generate multispectral indices: A comparison of "Index-then-Blend" and "Blend-then-Index" approaches
    • [CrossRef]
    • Jarihani, A.A.; McVicar, T.R.; Van Niel, T.G.; Emelyanova, I.V.; Callow, J.N.; Johansen, K. Blending Landsat and MODIS data to generate multispectral indices: A comparison of "Index-then-Blend" and "Blend-then-Index" approaches. Remote Sens. 2014, 6, 9213-9238. [CrossRef]
    • (2014) Remote Sens , vol.6 , pp. 9213-9238
    • Jarihani, A.A.1    McVicar, T.R.2    Van Niel, T.G.3    Emelyanova, I.V.4    Callow, J.N.5    Johansen, K.6
  • 75
    • 82155170568 scopus 로고    scopus 로고
    • Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper-temporal SPOT NDVI image analysis
    • [CrossRef]
    • Nguyen, T.T.H.; De Bie, C.; Ali, A.; Smaling, E.M.A.; Chu, T.H. Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper-temporal SPOT NDVI image analysis. Int. J. Remote Sens. 2012, 33, 415-434. [CrossRef]
    • (2012) Int. J. Remote Sens , vol.33 , pp. 415-434
    • Nguyen, T.T.H.1    De Bie, C.2    Ali, A.3    Smaling, E.M.A.4    Chu, T.H.5
  • 76
    • 0034759323 scopus 로고    scopus 로고
    • Comparison of SAR and optical sensor data for monitoring of rice plant around Hiroshima
    • [CrossRef]
    • Oguro, Y.; Suga, Y.; Takeuchi, S.; Ogawa, M.; Konishi, T.; Tsuchiya, K. Comparison of SAR and optical sensor data for monitoring of rice plant around Hiroshima. Adv. Space Res. 2001, 28, 195-200. [CrossRef]
    • (2001) Adv. Space Res , vol.28 , pp. 195-200
    • Oguro, Y.1    Suga, Y.2    Takeuchi, S.3    Ogawa, M.4    Konishi, T.5    Tsuchiya, K.6
  • 77
    • 84925455767 scopus 로고    scopus 로고
    • Mapping paddy rice agriculture in a highly fragmented area using a geographic information system object-based post classification process
    • Shiu, Y.-S.; Lin, M.-L.; Huang, C.-H.; Chu, T.-H. Mapping paddy rice agriculture in a highly fragmented area using a geographic information system object-based post classification process. J. Appl. Remote Sens. 2012, 6, 063526.
    • (2012) J. Appl. Remote Sens , vol.6 , pp. 063526
    • Shiu, Y.-S.1    Lin, M.-L.2    Huang, C.-H.3    Chu, T.-H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.