232
4
CONCLUSIONS
Symp>
1. Black and white multispectral aerial photography
(MSP) is an appropriate technique for the frequent
acquirement of remotely sensed data in agricultural
research.
TUR
2. Reflectance values obtained by MSP could be used
for ascertaining differences in crop response due to
different treatments. Results for reflectances were
consistent when comparing results of successive grow
ing seasons. The reflectance values in an infrared
band were particularly outstanding for ascertaining
treatment differences.
J.A.den
Departmt
3. If LAI was estimated by reflectance values, by
using a regression curve of LAI on corrected infra
red reflectance, the critical levels in testing for
treatment differences were in general smaller than
those for the measured LAI of samples, indicating
a larger power for the estimated LAI. This also ap
plied to the coefficients of variation.
ABSTRACT
environm
will imp
Two cr
5 REFERENCES
of crop
and yiel
produces
Bunnik, N.J.J., 1978. The multispectral reflectance
of shortwave radiation by agricultural crops in
relation with their morphological and optical
properties. Thesis, Meded. Landbouwhogeschool Wa-
geningen 78-1, 175 pp.
Clevers, J.G.P.W., 1986a. Multispectral aerial
photography yielding well calibrated reflectance
factors with high spectral, spatial and temporal
resolution for crop monitoring. Proc. Third Int.
Coll, on Spectral Signatures of Objects in Remote
Sensing, Les Arcs, France; ESA SP-247: 343-346.
Clevers, J.G.P.W., 1986b. The application of remote
sensing to agricultural field trials. Thesis (in
press).
Curran, P.J., 1980. Relative reflectance data from
preprocessed multispectral photography. Int. J.
Rem. Sens. 1: 77-83.
Curran, P.J., 1982. Multispectral photographic re
mote sensing of green vegetation biomass and pro
ductivity. Photogram. Engr. Rem. Sens. 48: 243-250.
Curran, P.J., 1983. Estimating green LAI from multi
spectral aerial photography. Photogram. Engr. Rem.
Sens. 49: 1709-1720.
Graham, R., 1980. The ITC multispectral camera sys
tem with respect to crop prognosis in winter-wheat.
ITC Journal 1980-2, 235-254.
Kannegieter, A., 1980. An experiment using multi
spectral photography for the detection and damage
assessment of disease infection in winter-wheat:
Agronomic considerations. ITC Journal 1980-2,
189-234.
Large, E.C., 1954. Growth stages in cereals. Illus
tration of the Feekes scale. Plant Pathol. 3:
128-129.
Ross, D.S., 1973. Atmospheric effects in multispec
tral photographs. Photogram. Engr. 39: 377-384.
Sievers, J., 1976. Zusammenhänge zwischen Object
reflexion und Bildschwärzung in Luftbildern.
München, Bayerischen Akademie der Wissenschaften,
Reihe C: Dissertationen, Heft. Nr. 221, 129 pp.
RESUME:
caractèr
tèlèdète
de prèdi
Deux m
couvert.
des flux
court, m
1 YIELD
At the E
of the V
the Cent
institut
crop grc
decennia
of these
simulati
one diui
simulate
stand di
If tl
circumst
where we
good cc
model i
knowled^
(weathei
deviatic
can occi
simulati
hardly t
based <
obtainec
2 GENERA
Light ii
product:
of a cr<
radiati<
crop, wl
interce]
increasi
called
phase tl
on bioi
small (
reality
In thi
becomes