[25] Liu, Y., J. Li, X. Shi, Q. Yuan, R. Pu, and L. Yang, 2016. Landscape ecological risk assessment in Tampa Bay watershed of America during 1985 – 2015, Bulletin of Soil and Water Conservation, 36(3): 125 – 130.
[24] Liu, Y., J. Li, Q. Yuan, X. Shi, R. Pu, L. Yang, and X. Lu, 2016. Comparative research on the impact of human activities on changes in coastline and landscape in bay areas: A case study with Xiangshangang Bay, China and Tampa Bay, USA, ACTA GEOGRAPHICA SINICA, 71(1): 86 – 103.
[23] Li, J.，L. Cao, and R. Pu, 2014. Progresses on monitoring
and assessment of flood disaster in remote sensing, SHUILI XUEBAO, China,
45(3): 253 – 260.
[22] Pu, R. and Z. Chen, 2005, Review and prospective on the information
inversion methods of hyperspectral remote sensing data, Resource Remote
Sensing and Digital Agriculture, (a book), Eds H. Tang and Q.
Zhou, Agriculture Press,
[21] Pu, R. and Z. Chen, 2005, The application of hyperspectral remote
sensing in agriculture review and prospective, Resource Remote Sensing
and Digital Agriculture, (a book), Eds H. Tang and Q. Zhou,
Agriculture Press,
[20] Pu, R. and P. Gong, 2000, Hyperspectral Remote Sensing and
Its Applications, (a book), High Education Press,
[19] Pu, R., P. Gong, and R. Yang, 1999,
[18] Pu, R., 1998, Hyperspectral remote sensing in vegetation (1-03-12), in Cheng, S. Ed., Dictionary of Earth System Science, Science Press, Beijing, China, pp. 180-181.
[17] Gong, P., R. Pu,
and B. Yu, 1998, Conifer species recognition with seasonal hyperspectral data, Journal
of Remote Sensing,
[16] Pu, Ruiliang
and Peng Gong, 1997, Relationships between forest biochmical concentrations and
CASI data along the Oregon Transect, Journal of Remote Sensing,
[15] Gong, P., P. Shi, R. Pu, and H. Guo, 1996, Earth
Observation Techniques and Earth System Science, (a book)
Science Press, Beijing, China.
[14] Pu, R.,
Yang, J., Liu, Y., Wan, Z., and Li, M., 1994, Tabulation of quantification
color infrared aerial photo site-index for Pinus
Massoniana In Mt. Zijin, J. Of Zhejiang Forestry College.
[13] Pu, R.,
Gong, P., and Miller, J. R., 1993, Spectral Derivative Analysis For Ponderosa
Pine Leaf Area Index Estimation, Remote Sensing Of Environment,
[12] Pu, R.,
Wang, H. and Hu, J., 1993, An experiment on the use of color infrared aerial
photo in forest ecology, J. Of South-Center Forestry Inventory Of
[11] Pu, R.,
Gong, P. and Miller, J. R., 1993, Estimation of coniferous forest leaf area
index along the Oregon Transect using CASI data, J. Of
[10] Pu, R.,
1993, Using remote sensing imageries for mapping protected forest site-type on
the coastal zone, J. Of South-Center Forestry Inventory Of
[9] Pu, R.,
1992, A discussing on application of remote sensing techniques for forest site
classification and appraisal on the
coast in
[8] Pu, R. and
Wang, Y. 1990, Site classification and evaluation on a coastal area of
rock-estuary using aerial photo, J. Of South-Center Forestry Inventory Of
[7] Pu, R.,
Wang, X., Zheng, X., Ding, Y., Zhang J. and Hu, J., 1990, Application of remote
sensing Techniques in protected forest site classification and evaluation on
the coast In China, J. Of
NFU, China,14(3):7-14.
[6] Pu, R.,
1990, Methodology of extracting optimal site information from Landsat-TM remote
sensing images, J. Of
[5] Pu, R.,
1987, Application of remote sensing techniques in forest site survey, J. of
NFU, China, 11(4):39-47.
[4] Pu, R. and
Zhu, Z., 1987, Application of aerial photography to the inventory of bamboo
resources, Bamboo
[3] Pu, R.,
1987, An experiment of fuzzy clustering analysis for forest site classification
by aerial photo Interpretation, J. Of Forest Resource Management, China, (1):41-46.
[2] Pu, R.,
1986, An experiment on the use of aerial photographs in forest soil
classification, J. Of South-Center Forestry
Inventory Of
[1] Pu, R.,
1985, A study of the effects of environment conditions on aerial seeding forest
using photo Interpretation methods, J. Of South-Center Forestry Inventory Of
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