메뉴 건너뛰기




Volumn 16, Issue 2, 2017, Pages 337-347

Mapping regional cropping patterns by using GF-1 WFV sensor data

Author keywords

crop mapping; GF 1; object based; Random Forest

Indexed keywords


EID: 85012293517     PISSN: 20953119     EISSN: None     Source Type: Journal    
DOI: 10.1016/S2095-3119(16)61392-8     Document Type: Article
Times cited : (24)

References (34)
  • 1
    • 0142091612 scopus 로고    scopus 로고
    • Synergy of multitemporal ERS-1 SAR and Landsat TM data for classification of agricultural crops
    • Ban, Y, Synergy of multitemporal ERS-1 SAR and Landsat TM data for classification of agricultural crops. Canadian Journal of Remote Sensing 29 (2003), 518–526.
    • (2003) Canadian Journal of Remote Sensing , vol.29 , pp. 518-526
    • Ban, Y.1
  • 2
    • 84899769183 scopus 로고    scopus 로고
    • Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data
    • Van Beijma, S, Comber, A, Lamb, A, Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data. Remote Sensing of Environment 149 (2014), 118–129.
    • (2014) Remote Sensing of Environment , vol.149 , pp. 118-129
    • Van Beijma, S.1    Comber, A.2    Lamb, A.3
  • 4
    • 84896005616 scopus 로고    scopus 로고
    • Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images
    • Conrad, C, Dech, S, Dubovyk, O, Fritsch, S, Klein, D, Löw, F, Schorcht, G, Zeidler, J, Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images. Computers and Electronics in Agriculture 103 (2014), 63–74.
    • (2014) Computers and Electronics in Agriculture , vol.103 , pp. 63-74
    • Conrad, C.1    Dech, S.2    Dubovyk, O.3    Fritsch, S.4    Klein, D.5    Löw, F.6    Schorcht, G.7    Zeidler, J.8
  • 6
    • 77951189897 scopus 로고    scopus 로고
    • ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data
    • Drăguţ, L, Tiede, D, Levick, S R, ESP: A tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data. International Journal of Geographical Information Science 24 (2010), 859–871.
    • (2010) International Journal of Geographical Information Science , vol.24 , pp. 859-871
    • Drăguţ, L.1    Tiede, D.2    Levick, S.R.3
  • 7
    • 84856982478 scopus 로고    scopus 로고
    • Multi-scale object-based image analysis and feature selection of multi-sensor earth observation imagery using random forests
    • Duro, D C, Franklin, S E, Dub, E M G, Multi-scale object-based image analysis and feature selection of multi-sensor earth observation imagery using random forests. International Journal of Remote Sensing 33 (2012), 4502–4526.
    • (2012) International Journal of Remote Sensing , vol.33 , pp. 4502-4526
    • Duro, D.C.1    Franklin, S.E.2    Dub, E.M.G.3
  • 9
    • 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 Transactions on Geoscience and Remote Sensing 44 (2006), 2207–2218.
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , pp. 2207-2218
    • Gao, F.1    Masek, J.2    Schwaller, M.3    Hall, F.4
  • 10
    • 84928796485 scopus 로고    scopus 로고
    • Mapping spatial distribution of larch plantations from multiseasonal Landsat-8 OLI imagery and multi-scale textures using random forests
    • Gao, T, Zhu, J, Zheng, X, Shang, G, Huang, L, Wu, S, Mapping spatial distribution of larch plantations from multiseasonal Landsat-8 OLI imagery and multi-scale textures using random forests. Remote Sensing 7 (2015), 1702–1720.
    • (2015) Remote Sensing , vol.7 , pp. 1702-1720
    • Gao, T.1    Zhu, J.2    Zheng, X.3    Shang, G.4    Huang, L.5    Wu, S.6
  • 11
    • 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 Sensing 7 (2015), 5347–5369.
    • (2015) Remote Sensing , vol.7 , pp. 5347-5369
    • Hao, P.1    Zhan, Y.2    Wang, L.3    Niu, Z.4    Shakir, M.5
  • 13
    • 84904670452 scopus 로고    scopus 로고
    • Exploring the use of google earth imagery and object-based methods in land use/cover mapping
    • Hu, Q, Wu, W, Xia, T, Yu, Q, Yang, P, Li, Z, Song, Q, Exploring the use of google earth imagery and object-based methods in land use/cover mapping. Remote Sensing 5 (2013), 6026–6042.
    • (2013) Remote Sensing , vol.5 , pp. 6026-6042
    • Hu, Q.1    Wu, W.2    Xia, T.3    Yu, Q.4    Yang, P.5    Li, Z.6    Song, Q.7
  • 14
    • 84939451651 scopus 로고    scopus 로고
    • Mapping tree canopy cover and aboveground biomass in sudano-sahelian woodlands using Landsat 8 and Random Forest
    • Karlson, M, Ostwald, M, Reese, H, Sanou, J, Tankoano, B, Mattsson, E, Mapping tree canopy cover and aboveground biomass in sudano-sahelian woodlands using Landsat 8 and Random Forest. Remote Sensing 7 (2015), 10017–10041.
    • (2015) Remote Sensing , vol.7 , pp. 10017-10041
    • Karlson, M.1    Ostwald, M.2    Reese, H.3    Sanou, J.4    Tankoano, B.5    Mattsson, E.6
  • 15
    • 84987748851 scopus 로고    scopus 로고
    • Object-based crop classification with Landsat-MODIS enhanced time-series data
    • Li, Q, Wang, C, Zhang, B, Lu, L, Object-based crop classification with Landsat-MODIS enhanced time-series data. Remote Sensing 7 (2015), 16091–16107.
    • (2015) Remote Sensing , vol.7 , pp. 16091-16107
    • Li, Q.1    Wang, C.2    Zhang, B.3    Lu, L.4
  • 16
    • 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 Sensing of Environment 93 (2004), 412–422.
    • (2004) Remote Sensing of Environment , vol.93 , pp. 412-422
    • Lobell, D.B.1    Asner, G.P.2
  • 17
    • 77954731228 scopus 로고    scopus 로고
    • A comparative analysis of phenological curves for major crops in Kansas
    • Masialeti, I, Egbert, S D B, A comparative analysis of phenological curves for major crops in Kansas. GIScience & Remote Sensing 2 (2010), 241–259.
    • (2010) GIScience & Remote Sensing , vol.2 , pp. 241-259
    • Masialeti, I.1    Egbert, S.D.B.2
  • 18
    • 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 Sensing of Environment 114 (2010), 1190–1204.
    • (2010) Remote Sensing of Environment , vol.114 , pp. 1190-1204
    • Ozdogan, M.1
  • 20
    • 84948822820 scopus 로고    scopus 로고
    • Assessing fruit-tree crop classification from Landsat-8 time series for the Maipo Valley, Chile
    • Peña, M A, Brenning, A, Assessing fruit-tree crop classification from Landsat-8 time series for the Maipo Valley, Chile. Remote Sensing of Environment 171 (2015), 234–244.
    • (2015) Remote Sensing of Environment , vol.171 , pp. 234-244
    • Peña, M.A.1    Brenning, A.2
  • 21
    • 79953182966 scopus 로고    scopus 로고
    • Object-based crop identification using multiple vegetation indices, textural features and crop phenology
    • 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 Sensing of Environment 115 (2011), 1301–1316.
    • (2011) Remote Sensing of Environment , vol.115 , pp. 1301-1316
    • Peña-Barragán, J.M.1    Ngugi, M.K.2    Plant, R.E.3    Six, J.4
  • 23
    • 79960743609 scopus 로고    scopus 로고
    • Object-oriented mapping of landslides using Random Forests
    • Stumpf, A, Kerle, N, Object-oriented mapping of landslides using Random Forests. Remote Sensing of Environment 115 (2011), 2564–2577.
    • (2011) Remote Sensing of Environment , vol.115 , pp. 2564-2577
    • Stumpf, A.1    Kerle, N.2
  • 25
    • 82155170603 scopus 로고    scopus 로고
    • Field-based crop classification using SPOT4, SPOT5, IKONOS and QuickBird imagery for agricultural areas: A comparison study
    • Turker, M O A, Field-based crop classification using SPOT4, SPOT5, IKONOS and QuickBird imagery for agricultural areas: A comparison study. International Journal of Remote Sensing 32 (2011), 9735–9768.
    • (2011) International Journal of Remote Sensing , vol.32 , pp. 9735-9768
    • Turker, M.O.A.1
  • 26
    • 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 Sensing of Environment 123 (2012), 553–562.
    • (2012) Remote Sensing of Environment , 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
  • 27
    • 84928820457 scopus 로고    scopus 로고
    • Comparative analysis of GF-1 WFV, ZY-3 MUX, and HJ-1 CCD sensor data for grassland monitoring applications
    • Wang, L, Yang, R, Tian, Q, Yang, Y, Zhou, Y, Sun, Y, Mi, X, Comparative analysis of GF-1 WFV, ZY-3 MUX, and HJ-1 CCD sensor data for grassland monitoring applications. Remote Sensing 7 (2015), 2089–2108.
    • (2015) Remote Sensing , vol.7 , pp. 2089-2108
    • Wang, L.1    Yang, R.2    Tian, Q.3    Yang, Y.4    Zhou, Y.5    Sun, Y.6    Mi, X.7
  • 28
    • 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 Sensing of Environment 108 (2007), 290–310.
    • (2007) Remote Sensing of Environment , vol.108 , pp. 290-310
    • Wardlow, B.D.1    Egbert, S.L.2    Kastens, J.H.3
  • 29
    • 84887861180 scopus 로고    scopus 로고
    • Evaluation of data fusion and image segmentation in earth observation based rapid mapping workflows
    • Witharana, C, Civco, D L, Meyer, T H, Evaluation of data fusion and image segmentation in earth observation based rapid mapping workflows. ISPRS Journal of Photogrammetry and Remote Sensing 87 (2014), 1–18.
    • (2014) ISPRS Journal of Photogrammetry and Remote Sensing , vol.87 , pp. 1-18
    • Witharana, C.1    Civco, D.L.2    Meyer, T.H.3
  • 30
    • 84939641103 scopus 로고    scopus 로고
    • Combining HJ CCD, GF-1 WFV and MODIS data to generate daily high spatial resolution synthetic data for environmental process monitoring
    • Wu, M, Huang, W, Niu, Z, Wang, C, Combining HJ CCD, GF-1 WFV and MODIS data to generate daily high spatial resolution synthetic data for environmental process monitoring. International Journal of Environmental Research and Public Health 12 (2015), 9920–9937.
    • (2015) International Journal of Environmental Research and Public Health , vol.12 , pp. 9920-9937
    • Wu, M.1    Huang, W.2    Niu, Z.3    Wang, C.4
  • 31
    • 84893672938 scopus 로고    scopus 로고
    • Climate change and the food production system: impacts and adaptation in China
    • Wu, W, Verburg, P H, Tang, H, Climate change and the food production system: impacts and adaptation in China. Regional Environmental Change 14 (2014), 1–5.
    • (2014) Regional Environmental Change , vol.14 , pp. 1-5
    • Wu, W.1    Verburg, P.H.2    Tang, H.3
  • 32
    • 84904268960 scopus 로고    scopus 로고
    • How could agricultural land systems contribute to raise food production under global change?
    • Wu, W, Yu, Q, Peter, V H, You, L, Yang, P, Tang, H, How could agricultural land systems contribute to raise food production under global change?. Journal of Integrative Agriculture 13 (2014), 1432–1442.
    • (2014) Journal of Integrative Agriculture , vol.13 , pp. 1432-1442
    • Wu, W.1    Yu, Q.2    Peter, V.H.3    You, L.4    Yang, P.5    Tang, H.6
  • 33
    • 84904150719 scopus 로고    scopus 로고
    • Interpretation of climate change and agricultural adaptations by local household farmers: A case study at Bin County, Northeast China
    • Yu, Q, Wu, W, Liu, Z, Verburg, P H, Xia, T, Yang, P, Lu, Z, You, L, Tang, H, Interpretation of climate change and agricultural adaptations by local household farmers: A case study at Bin County, Northeast China. Journal of Integrative Agriculture 13 (2014), 1599–1608.
    • (2014) Journal of Integrative Agriculture , vol.13 , pp. 1599-1608
    • Yu, Q.1    Wu, W.2    Liu, Z.3    Verburg, P.H.4    Xia, T.5    Yang, P.6    Lu, Z.7    You, L.8    Tang, H.9
  • 34
    • 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 Sensing of Environment 140 (2014), 1–13.
    • (2014) Remote Sensing of Environment , vol.140 , pp. 1-13
    • Zhong, L.1    Gong, P.2    Biging, G.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.