MULTISITE ANALYSES OF SPECTRAL-BIOPHYSICAL DATA FOR SORGHUM

被引:52
作者
RICHARDSON, AJ
WIEGAND, CL
WANJURA, DF
DUSEK, D
STEINER, JL
机构
[1] USDA ARS,CROPPING SYST RES LAB,LUBBOCK,TX
[2] USDA ARS,CONSERVAT & PROD RES LAB,BUSHLAND,TX 79012
关键词
D O I
10.1016/0034-4257(92)90062-O
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Spectral-biophysical functional relations that hold across experiments and environments are needed for economically important crops. Thus, reflectance factors and leaf area index (LAI) measurements for sorghum [Sorghum bicolor (L.) Moench] experiments conducted at Bushland, Texas (102.2-degrees-W, 35.2-degrees-N), Lubbock, Texas (101.8-degrees-W, 33.7-degrees-N), and Weslaco, Texas (98.0-degrees-W, 26.2-degrees-N) over a 7-year period were related using two-parameter power and exponential equations for four common vegetation indices (VI): normalized difference (NDVI), perpendicular (PVI), near-infrared to red ratio (RVI), and transformed soil-adjusted (TSAVI). The objective was to produce recommendable empirical equations for estimating LAI of sorghum from spectral vegetation indices using observations pooled across locations. During both the pre- and post-maximum leaf area index portions of the growing season, power and exponential forms were equally good for estimating LAI from TSAVI and NDVI and gave coefficients of determination, R2, that ranged from 0.76 to 0.83. However, for PVI and RVI the relations were not as nonlinear and the power form accounted for more of the variation (R2 = 0.74-0.82) than the exponential form (R2 = 0.69-0.78). Infinite reflectance for sorghum was estimated from the pooled data to be 4.0% in the RED band and 49.7% in the NIR band. Coefficients of exponential relations for sorghum were similar to those for corn reported earlier. Although soils, agronomic treatments, sun angles, and instruments differed among locations, it was possible to develop general relations for estimating leaf area of sorghum from four of the most commonly used spectral vegetation indices.
引用
收藏
页码:71 / 82
页数:12
相关论文
共 26 条
[1]   POTENTIALS AND LIMITS OF VEGETATION INDEXES FOR LAI AND APAR ASSESSMENT [J].
BARET, F ;
GUYOT, G .
REMOTE SENSING OF ENVIRONMENT, 1991, 35 (2-3) :161-173
[2]  
Baret F., 1989, QUANTITATIVE REMOTE, V3, P1355
[3]  
DUSEK DA, 1986, 863515 AM SOC AGR EN
[4]  
EISENSMITH SP, 1987, PLOT ITTM INTERACTIV
[5]   USE OF REMOTELY-SENSED INFORMATION IN AGRICULTURAL CROP GROWTH-MODELS [J].
MAAS, SJ .
ECOLOGICAL MODELLING, 1988, 41 (3-4) :247-268
[6]   USING SATELLITE DATA TO IMPROVE MODEL ESTIMATES OF CROP YIELD [J].
MAAS, SJ .
AGRONOMY JOURNAL, 1988, 80 (04) :655-662
[7]  
MAAS SJ, 1985, 19TH P INT S REM SEN, P167
[8]   SIMPLE RADIATIVE-TRANSFER MODEL FOR RELATIONSHIPS BETWEEN CANOPY BIOMASS AND REFLECTANCE [J].
PARK, JK ;
DEERING, DW .
APPLIED OPTICS, 1982, 21 (02) :303-309
[9]   GREENNESS-LEAF AREA INDEX RELATIONSHIPS OF 7 ROW CROPS [J].
REDELFS, MS ;
STONE, LR ;
KANEMASU, ET ;
KIRKHAM, MB .
AGRONOMY JOURNAL, 1987, 79 (02) :254-259
[10]  
RICHARDSON AJ, 1990, J IMAGING TECHNOL, V16, P104