PROCEDURES FOR WHEAT YIELD PREDICTION USING LANDSAT-MSS AND IRS-1A DATA

被引：23

作者：

SHARMA, T ^{[1
]}

SUDHA, KS ^{[1
]}

RAVI, N ^{[1
]}

NAVALGUND, RR ^{[1
]}

TOMAR, KP ^{[1
]}

CHAKRAVARTY, NVK ^{[1
]}

DAS, DK ^{[1
]}

机构：

[1] INDIAN AGR RES INST,NEW DELHI 110012,INDIA

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 1993年 / 14卷 / 13期

关键词：

D O I：

10.1080/01431169308904289

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

This study describes procedures for analysis of data from Landsat MSS and Indian Remote Sensing Satellite IRS-IA for pre-harvest wheat yield prediction. A linear yield-spectral index model has been developed wherein radiance values have been used instead of digital counts in order to take care of data from different satellites/sensors. The spectral ratios have been normalized using a crop growth profile so that all the values correspond to maximum vegetative growth. Using these procedures district-wise grain yield prediction of wheat for the Haryana state in India for the 1988-89 growing season was carried out. Yield estimates from Landsat MSS and IRS-IA LISS-I data were in good agreement with one another. The maximum deviation of estimated yield by IRS-1A data from that of Bureau of Economics and Statistics (BES) of the government was 18 per cent.

引用

页码：2509 / 2518

页数：10

共 11 条

[1] ESTIMATING DEVELOPMENT STAGES OF CORN FROM SPECTRAL DATA - AN INITIAL MODEL [J].