In: Wagner W., Szekely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B
plants. International Journal of Remote Sensing, 11
(10), 1741-1753.
Clevers, J.G.P.W., 1999. The use of imaging spectrometry
for agricultural applications, ISPRS Journal of
Photogrammetry and Remote Sensing, 54 (5), 299-
304.
Clevers, J.G.P.W., De Jong, S.M., Epema, G.F., van der
Meer, F., Bakker, W., & Skidmore, A.K., 2002.
Derivation of the red edge index using MERIS
standard band setting. International Journal of
Remote Sensing, 23, 3169-3184.
Curran, P.J. Dungan, J.L., & Gholz, H.L., 1990. Exploring
the relationship between reflectance red edge and
chlorophyll content in slash pine, Tree Physiology
7, 33-48.
Dawson, T.P., & Curran, P.J., 1998. A new technique for
interpolating the reflectance red edge position.
International Journal of Remote Sensing, 19, 2133—
2139.
Fillella, I. & Penuelas, J., 1994. The red edge position and
shape as indicators of plant chlorophyll content,
biomass and hydric status. International Journal of
Remote Sensing, 15,(7), 1459-1470.
Jago, R.A., Cutler, M.E., & Curran, P.J., 1999. Estimating
canopy chlorophyll concentration from field and
airborne spectra. Remote Sensing of Environment,
68,217-224.
Allah Gholipour, 2007. (Report in Persian).
http://www.agristore.ir/class.aspx?tid : = : 8&sid=41&la
=fa
Kamthonkiat,D., Honda, K., Turral, H., Tripathi, N. K.,
Wuwongse, V., 2005. Discrimination of irrigated
and rainfed rice in a tropical agricultural system
using SPOT vegetation NDVI and rainfall data.
International Journal of Remote Sensing, 26(12),
2527-2547.
Khajedin, S.J., & Pourmanafi, S., 2007. Determination of
Rice Paddies Areas Using Digital Data IRS Sensors
Around Zayandeh Rud in Isfahan Region, Journal of
Science and Technology of Agriculture and Natural
Resources, 11(40), 449-464.
Mutanga, O., & Skidmore, A.K., 2007. Red edge shift and
biochemical content in grass canopies. ISPRS
Journal of Photogrammetry & Remote Sensing, 62,
34-42.
Nemat Zadeh, & G., Sattari, M., 2003. Study some of the
nuclear genome of rice cultivars on different fertility
control, (Oryza sativa L.) for Hybrid rice seed
production. Journal of Agricultural Science (In
Persian), Volume 34 (1), 213-219.
Serra, P., More, G., & Pons, X., 2007. Monitoring winter
flooding of rice fields on the coastal wetland of Ebre
delta with multi temporal remote sensing images.
Geoscience and Remote Sensing Symposium, 2007.
IGARSS 2007. IEEE International, 2495-2498.
Shafri, H.Z.M., Salleh, M.A.M., & Ghiyamat, A., 2006.
Hyperspectral remote sensing of vegetation using
red edge position techniques. American Journal of
Applied Science, 3(6), 1864-1871.
Shen, Y., Lo, J.C. & Cheng, S.P., 2000. Development of
remote sensing techniques to identify nitrogen status
of paddy rice, (in Chinese with English abstract).
Chin. J. Agromet. 7, 23-32.
Tinetti, G., Rashby, S., & Yung, Y.L., 2006. Delectability
of red-edge-shifted vegetation on terrestrial planets
orbiting m stars. The Astrophysical Journal, 644,
129-132.
Wang, F. M., Huang, J. F. & Wang, X. Z., 2008.
Identification of Optimal Hyperspectral Bands for
Estimation of Rice Biophysical Parameters. Journal
of Integrative Plant Biology, 50 (3), 291-299.
Xiao, X., Boles, S., Frolking, S., Li, C., Babu, J.Y., Salas,
W., & Moore, B., 2006. Mapping paddy rice
agriculture in South and Southeast Asia using multi
temporal MODIS images. Remote Sensing of
Enviroment. 100, 95-113.
Xue, L„ Cao, W., Luo, W„ Dai, T., & Zhu, Y„ 2004.
Monitoring leaf nitrogen status in rice with canopy
spectral reflectance. American Society of
Agronomy, 96, 135-142.
Yang, C.M., & Cheng, C.H., 2001. Spectral
characteristics of rice plants infested by brown
planthoppers. Proceedings of Natural Science,
25(3), 180-186.
Yoder, B.J., & Pettigrew-Crosby, R.E., 1995. Predicting
nitrogen and chlorophyll content and concentrations
from reflectance spectra (400-2500 nm) at leaf and
canopy scales, Remote Sensing of Environment,
53(3), 199-211.