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Remote Sensing, 23(6), 888–895.
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techniques. Remote Sensing of Environment, 79, 96–104.
Wang, Q., Wang, L., & Liu, D. (2012). Integration of spatial attractions between and within pixels
for sub-pixel mapping. Journal of Systems Engineering and Electronics, 23, 293–303.
Wu, C., Deng, J., Wang, K., & Ma, L. (2016). Object-based classification approach for greenhouse
mapping using Landsat-8 imagery. International Journal of Agricultural and Biological Engineering, 9(1), 79–88.
Xu, M., Watanachaturaporn, P., Varshney, P., & Arora, M. (2005). Decision tree regression for soft
classification of remote sensing data. Remote Sensing of Environment, 97(3), 322–336.
Yang, G., Tang, H., Nie, Y., & Zhang, X. (2011). Responses of cotton growth, yield, and biomass to
nitrogen split application ratio. European Journal of Agronomy, 35(3), 164–170.
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its development. China Plastics, 24(8), 9–12.
384
L. Lu
Italy through remote sensing and solid modeling techniques. Landscape Urban Planning, 100
(1–2), 45–56.
Sanchez-Hernandez, C., Boyd, D., & Foody, G. (2007). One-class classification for mapping a
specific land-cover class: SVDD classification of fenland. IEEE Transactions on Geoscience
and Remote Sensing, 45(4), 1061–1073.
Schaaf, C., Gao, F., Strahler, A., Lucht, W., Li, X., & Tsang, T. (2002). First operational BRDF,
albedo and nadir reflectance products from MODIS. Remote Sensing of Environment, 83(1–2),
135–148.
Schneider, A., Friedl, M., & Potere, D. (2010). Mapping global urban areas using MODIS 500-m
data: New methods and datasets based on urban ecoregions. Remote Sensing of Environment,
114(8), 1733–1746.
Shen, Z., Qi, J., & Wang, K. (2009). Modification of pixel-swapping algorithm with initialization
from a sub-pixel/pixel spatial model. Photogrammetric Engineering and Remote Sensing, 75,
557–567.
Simard, M., Saatchi, S., & Grandi, G. (2000). The use of decision tree and multiscale texture for
classification of JERS-1 SAR data over tropical forest. IEEE Transactions on Geoscience and
Remote Sensing, 38(5), 2310–2321.
Smith, M., Ustin, S., Adams, J., & Gillespie, A. (1990). Vegetation in deserts: I. a regional measure
of abundance from multi-spectral images. Remote Sensing of Environment, 31, 1–26.
Stefanov, W., & Netzband, M. (2005). Assessment of ASTER land cover and MODIS NDVI data at
multiple scales for ecological characterization of an arid urban center. Remote Sensing of
Environment, 99(1–2), 31–43.
Takakura, T., & Fang, W. (2002). Climate under cover (2nd ed., p. 190). Dordrecht: Kluwer
Academic Publishers.
Tarpley, J., Schneider, S., & Money, R. (2010). Global vegetation indexes from the NOAA-7
meteorological satellite. Journal of Applied Meteorology, 23(3), 491–494.
Townshend, J., Goff, T., & Tucker, C. (1985). Multitemporal dimensionality of images of normalized difference vegetation index at continental scales. IEEE Transactions on Geoscience and
Remote Sensing, 23(6), 888–895.
Verhoeye, J., & Wulf, R. (2002). Land cover mapping at sub-pixel scales using linear optimization
techniques. Remote Sensing of Environment, 79, 96–104.
Wang, Q., Wang, L., & Liu, D. (2012). Integration of spatial attractions between and within pixels
for sub-pixel mapping. Journal of Systems Engineering and Electronics, 23, 293–303.
Wu, C., Deng, J., Wang, K., & Ma, L. (2016). Object-based classification approach for greenhouse
mapping using Landsat-8 imagery. International Journal of Agricultural and Biological Engineering, 9(1), 79–88.
Xu, M., Watanachaturaporn, P., Varshney, P., & Arora, M. (2005). Decision tree regression for soft
classification of remote sensing data. Remote Sensing of Environment, 97(3), 322–336.
Yang, G., Tang, H., Nie, Y., & Zhang, X. (2011). Responses of cotton growth, yield, and biomass to
nitrogen split application ratio. European Journal of Agronomy, 35(3), 164–170.
Zhou, G. (2010). Analysis of situations of China agro-film industry (2010) and countermeasures for
its development. China Plastics, 24(8), 9–12.
384
L. Lu