Foody, G., Mathur, A., Sanchez-Hernandez, C., & Boyd, D. (2006). Training set size requirements
for the classification of a specific class. Remote Sensing of Environment, 104(1), 1–14.
Friedl, A., & Brodley, C. (1997). Decision tree classification of land cover from remotely sensed
data. Remote Sensing of Environment, 61(3), 399–409.
Hansen, M., Dubayah, R., & Defries, R. (1996). Classification trees: An alternative to traditional
land cover classifiers. International Journal of Remote Sensing, 17(5), 1075–1081.
Hasituya, Chen, Z., Wang, L., Wu, W., Jiang, Z., & Li, H. (2016). Monitoring plastic-mulched
farmland by Landsat-8 OLI imagery using spectral and textural features. Remote Sensing, 8(4).
Hasituya, Chen, Z., Wang, L., & Liu, J. (2017). Selecting appropriate spatial scale for mapping
plastic-mulched farmland with satellite remote sensing imagery. Remote Sensing, 9(3), 265.
https://doi.org/10.3390/rs9030265.
Huang, C., Chen, Y., & Wu, J. (2014). Mapping spatio-temporal flood inundation dynamics at large
river basin scale using time-series flow data and MODIS imagery. International Journal of
Applied Earth Observation and Geoinformation 26, 350–362.
Kumar, U., Kerle, N., Punia, M., & Ramchandra, T. (2010). Mining land cover information using
multiplayer perception and decision tree from MODIS data. Journal of the Indian Society of
Remote Sensing, 38(4), 592–602.
Levin, N., Lugassi, R., Ramon, U., Braun, O., & Ben-Dor, E. (2007). Remote sensing as a tool for
monitoring plasticulture in agricultural landscapes. International Journal of Remote Sensing, 28
(1), 183–202.
Li, W., Guo, Q., & Elkan, C. (2011). A positive and unlabeled learning algorithm for one-class
classification of -sensing data. IEEE Transactions on Geoscience and Remote Sensing, 49(2),
717–725.
Liu, J. (2000). Smoothing filter-based intensity modulation: A spectral preserve image fusion
technique for improving spatial details. International Journal of Remote Sensing, 21,
3461–3472.
Lu, L., Di, L., & Ye, Y. (2014). A decision-tree classifier for extracting transparent plastic-mulched
landcover from Landsat-5 TM images. IEEE Journal of Selected Topics in Applied Earth
Observations and Remote Sensing, 7, 4548–4558.
Lu, L., Hang, D., & Di, L. (2015). Threshold model for detecting transparent plastic mulched
landcover using MODIS time series data: A case study in southern Xinjiang, China. Journal of
Applied Remote Sensing, 9(1), 097094. https://doi.org/10.1117/1.JRS.9.097094.
Lu, L., Huang, Y., Di, L., & Hang, D. (2017). A new spatial attraction model for improving
subpixel land cover classification. Remote Sensing, 9(4), 360. https://doi.org/10.3390/
rs9040360.
Manevitz, L., & Yousef, M. (2001). One-class SVMs for document classification. Journal of
Machine Learning Research, 2, 139–154.
McFeeters, K. (1996). The use of normalized difference water index (NDWI) in the delineation of
open water features. International Journal of Remote Sensing, 17(7), 1425–1432.
Mertens, K., Baets, B., Verbeke, L., & Wulf, R. (2006). A sub-pixel mapping algorithm based on
sub-pixel/pixel spatial attraction model. International Journal of Remote Sensing, 27,
3293–3310.
Munoz-Marf, J., Bruzzone, L., & Camps-Vails, G. (2007). A support vector domain description
approach to supervised classification of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 45(8), 2683–2692.
Noveli, A., & Tarantifo, E. (2015). Combining ad hoc spectral indices based on LANDSAT8 OLI/TIRS sensor data for the detection of plastic cover vineyard. Remote Sensing Letters, 6
(12), 933–941.
Novelli, A., Aguilar, M. A., Nemmaoui, A., et al. (2016). Performance evaluation of object based
greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería
(Spain). International Journal of Applied Earth Observation and Geoinformation, 52, 403–411.
Orzolek, M. (1999). The plastic advantage. Resource, 13–14.
17 Remote Sensing–Based Mapping of Plastic-Mulched Land Cover
383
for the classification of a specific class. Remote Sensing of Environment, 104(1), 1–14.
Friedl, A., & Brodley, C. (1997). Decision tree classification of land cover from remotely sensed
data. Remote Sensing of Environment, 61(3), 399–409.
Hansen, M., Dubayah, R., & Defries, R. (1996). Classification trees: An alternative to traditional
land cover classifiers. International Journal of Remote Sensing, 17(5), 1075–1081.
Hasituya, Chen, Z., Wang, L., Wu, W., Jiang, Z., & Li, H. (2016). Monitoring plastic-mulched
farmland by Landsat-8 OLI imagery using spectral and textural features. Remote Sensing, 8(4).
Hasituya, Chen, Z., Wang, L., & Liu, J. (2017). Selecting appropriate spatial scale for mapping
plastic-mulched farmland with satellite remote sensing imagery. Remote Sensing, 9(3), 265.
https://doi.org/10.3390/rs9030265.
Huang, C., Chen, Y., & Wu, J. (2014). Mapping spatio-temporal flood inundation dynamics at large
river basin scale using time-series flow data and MODIS imagery. International Journal of
Applied Earth Observation and Geoinformation 26, 350–362.
Kumar, U., Kerle, N., Punia, M., & Ramchandra, T. (2010). Mining land cover information using
multiplayer perception and decision tree from MODIS data. Journal of the Indian Society of
Remote Sensing, 38(4), 592–602.
Levin, N., Lugassi, R., Ramon, U., Braun, O., & Ben-Dor, E. (2007). Remote sensing as a tool for
monitoring plasticulture in agricultural landscapes. International Journal of Remote Sensing, 28
(1), 183–202.
Li, W., Guo, Q., & Elkan, C. (2011). A positive and unlabeled learning algorithm for one-class
classification of -sensing data. IEEE Transactions on Geoscience and Remote Sensing, 49(2),
717–725.
Liu, J. (2000). Smoothing filter-based intensity modulation: A spectral preserve image fusion
technique for improving spatial details. International Journal of Remote Sensing, 21,
3461–3472.
Lu, L., Di, L., & Ye, Y. (2014). A decision-tree classifier for extracting transparent plastic-mulched
landcover from Landsat-5 TM images. IEEE Journal of Selected Topics in Applied Earth
Observations and Remote Sensing, 7, 4548–4558.
Lu, L., Hang, D., & Di, L. (2015). Threshold model for detecting transparent plastic mulched
landcover using MODIS time series data: A case study in southern Xinjiang, China. Journal of
Applied Remote Sensing, 9(1), 097094. https://doi.org/10.1117/1.JRS.9.097094.
Lu, L., Huang, Y., Di, L., & Hang, D. (2017). A new spatial attraction model for improving
subpixel land cover classification. Remote Sensing, 9(4), 360. https://doi.org/10.3390/
rs9040360.
Manevitz, L., & Yousef, M. (2001). One-class SVMs for document classification. Journal of
Machine Learning Research, 2, 139–154.
McFeeters, K. (1996). The use of normalized difference water index (NDWI) in the delineation of
open water features. International Journal of Remote Sensing, 17(7), 1425–1432.
Mertens, K., Baets, B., Verbeke, L., & Wulf, R. (2006). A sub-pixel mapping algorithm based on
sub-pixel/pixel spatial attraction model. International Journal of Remote Sensing, 27,
3293–3310.
Munoz-Marf, J., Bruzzone, L., & Camps-Vails, G. (2007). A support vector domain description
approach to supervised classification of remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 45(8), 2683–2692.
Noveli, A., & Tarantifo, E. (2015). Combining ad hoc spectral indices based on LANDSAT8 OLI/TIRS sensor data for the detection of plastic cover vineyard. Remote Sensing Letters, 6
(12), 933–941.
Novelli, A., Aguilar, M. A., Nemmaoui, A., et al. (2016). Performance evaluation of object based
greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería
(Spain). International Journal of Applied Earth Observation and Geoinformation, 52, 403–411.
Orzolek, M. (1999). The plastic advantage. Resource, 13–14.
17 Remote Sensing–Based Mapping of Plastic-Mulched Land Cover
383