TEMPORAL SPECTRAL MEASUREMENTS OF RICE CROP
WITH THE GSFC MARK-II THREE BAND HAND-HELD RADIOMETER
by
A.J. CHEN
H.T. WANG
QC. TIN
Department of Atmospheric Physics
National Central University
Chung-li, Taiwan
Republic of China
I. INTRODUCTION
In the past, we had tried to utilize Landsat MSS data for agricultural resource
assessment in Taiwan. Our case study indicated that over-all accuracy was about
88% for estimating the acreage of the paddy field. As the land-use patterns and
cultivated practices are very complicated in Taiwan, the spectral and spatial
resolutions of the Landsat MSS data substentially limit its applications to
various resource inventories. Recently, Taiwan Forestry Bureau scanner system,
which consists of Daedalus DS-1260 Digital Scanner (12 channels), DS-1860
Digital Multispectral Preprocessor, DS-1840 B/W Film Converter and DS-1813
Color-Film Printer. The whole system is now in full operation. From the previous
experiences, it becomes apparent that utilization of MSS data alone is not
sufficient enough for practical applications. Ground-based in situ remote
sensing studies are needed to better understand the physics between the natural
materials and their reflectances as a function of wavelength. During normal
operation, the airborne scanner scans a wild angle of + 40° across the flight
path, and receives the reflected sunlight under a range of sun angles. It is
thus important to determine the angular reflectance features of natural targets
characterized by the bidirectional reflectance distribution function BRDF. If
the BRDF exhibits significant anisotropy, the correction procedures must be
followed to properly utilize the multispectral and multitemporal data sets taken
under different illumination angles. In this report, we employ one GSFC Mark-II
Three Band Hand-Held Radiometer, developed by NASA/Goddard Space Flight Center,
for taking the bidirectional reflectance of rice crop over its various
growing stages. The consensus is to find out the features of the bidirectional
reflectance for future utilization of air-borne MSS data.