论文

应用NOAA气象卫星图象资料估算草场生物量方法的初步研究

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  • 1. 中国科学院航空遥感中心;
    2. 中国科学院新疆生物土壤沙漠研究所;
    3. 国家气象局卫星气象中心

网络出版日期: 1986-06-25

A PRELIMINARY STUDY ON NOAA IMAGES FOR THE ESTIMATION OF PASTURE BIOMASS

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  • Airborne Remote Sensing Center, Chinese Academy of Sciences

Online published: 1986-06-25

摘要

新疆幅员辽阔,草场面积>40×104km2,是我国主要畜牧业基地之一。因此测量草场生物量和掌握其动态变化可以为合理规划、利用和改良草场以及发展畜牧业提供科学依据。 测量草场生物量的方法很多。传统的方法是人工割下单位面积的草,称其重量来估算生物量,但此法繁琐费时,而且是一种破坏性的测量方法,同一块草场采样不能重复进

本文引用格式

童庆禧, 丁志, 郑兰芬, 王尔和, 肖乾广, 陈维英, 周嗣松 . 应用NOAA气象卫星图象资料估算草场生物量方法的初步研究[J]. 自然资源学报, 1986 , 1(1) : 87 -95 . DOI: 10.11849/zrzyxb.1986.01.010

Abstract

The Advanced Very High Resolution Radiometer(AVHRR)data from NOAA Meteorological Satellite have been used to study the vegetation biomass in a test area, the Uygur Autonomous Region of Xinjiang in northwest ern China.The major data from NOAA Satellite was acquired through Meteorological Ground Station by National Meteorological Buereau. For the assessment of vegetation biomass the two channels of multispectral data were used to form the Normalized Difference (ND).The spectral bands of these channels were 0.55-0.68μm (CH1) and 0.725-1.10μm (CH2)- The Normalized Difference value is very sensitive to the existing vegetation. The digital processing technique was used for estimating the relationship between the Normalized Difference and the vegetation biomass production. The ND data of satellite image were compared with field-sampling biomass data. It was found that the relationship between the above two values was positive and satisfactory. The regression coefficient even approached 0.95. This results show that the satellite remote sensing technique or non-destructive methods for the estimation of biomass of vegetation in western part of China is prospective and effective.
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