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Anthropological Center for Training and Research on Global Environmental Change

A Research Center of the Office of the Vice Provost for Research at Indiana University Bloomington
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2011

No. 11-01
Lu, D., Weng, Q., Moran, E., Li, G., and Hetrick, S. Remote Sensing Image Classification (Chapter 9). In: Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications. Q. Weng (ed.), CRC Press/Taylor and Francis, 219-240.

No. 11-02
Lu, D., Moran, E., Hetrick, S., and Li, G., Land-use and Land-cover Change Detection (Chapter 11). In: Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications. Q. Weng (ed.), CRC Press/Taylor and Francis, pp. 273-288.

No. 11-03
Lu, D., S. Hetrick, and E. Moran. 2011. Impervious Surface Mapping with Quickbird Imagery. International Journal of Remote Sensing 32(9): 2519-2533, DOI: 10.1080/01431161003698393.

No. 11-04
Lu, D., Moran, E., Hetrick, S., and Li, G., Mapping Impervious Surface Distribution with the Integration of Landsat TM and QuickBird Images in a Complex Urban-Rural Frontier in Brazil (Chapter 13). In: Advances of Environmental Remote Sensing to Monitor Global Changes. Ni-Bin Chang (ed.), CRC Press/Taylor and Francis, pp. 277-296.

No. 11-05
Lu, D., Moran, E., and Hetrick, S., Detection of Impervious Surface Change with Multitemporal Landsat Images in an Urban-rural Frontier. ISPRS Journal of Photogrammetry and Remote Sensing. 66(3), 298-306. doi:10.1016/j.isprsjprs.2010.10.010.

No. 11-06
Zhang, Y., Lu, D., Yang, B., Sun, C., and Sun, M. Coastal Wetland Vegetation Classification with a Landsat Thematic Mapper Image. International Journal of Remote Sensing. 32(2), 545–561, DOI: 10.1080/01431160903475241.

No. 11-07
Lu, D., Li, G., Moran, E., Dutra, L., and Batistella, M., A Comparison of Multisensor Integration Methods for Land-cover Classification in the Brazilian Amazon. GIScience & Remote Sensing. 48(3), 345-370. DOI: 10.2747/1548-1603.48.3.345.

No. 11-08
Lu, D., Li, G., Moran, E., Batistella, M., and Freitas, C., Mapping impervious surfaces with the integrated use of Landsat Thematic Mapper and radar data: a case study in an urban-rural landscape in the Brazilian Amazon. ISPRS Journal of Photogrammetry and Remote Sensing. 66(6), 798–808, DOI: 10.1016/j.isprsjprs.2011.08.004.

No. 11-09
Guiying Li, Dengsheng Lu, Emilio Moran & Scott Hetrick (2011): Landcover classification in a moist tropical region of Brazil with Landsat Thematic Mapper imagery, International Journal of Remote Sensing, 32:23, 8207-8230

No. 11-10
Dengsheng Lu, Mateus Batistella, Emilio Moran, Scott Hetrick, Diogenes Alves & Eduardo Brondizio (2011): Fractional forest cover mapping in the Brazilian Amazon with a combination of MODIS and TM images, International Journal of Remote Sensing, 32:22, 7131-7149