应用NOAA／AVHRR遥感资料对大面积草场进行产草量定量估算的方法研究

RESEARCH ON THE METHODS OF QUANTITATIVE ESTIMATE OF THE GRASS OUTPUT OF A VAST GRASSLAND BY USING THE REMOTE SENSING DATA OF NOAA/AVHRR

本文选择我国北方典型草原区──内蒙古锡林郭勒草原为试验区，开展了利用ＮＯＡＡ／ＡＶＨＲＲ资料进行大面积草地产草量遥感定量估算方法的研究，从估产原理、植被指数选取、景观生态分区等方面，探讨了ＮＯＡＡ／ＡＶＨＲＲ资料应用于大面积估产和动态监测的可行性和具体途径，为提高估产精度，尝试了大气纠正、几何纠正、多时相数据最大值化处理等新的数据预处理方法，并结合了ＧＩＳ技术，结果表明，适宜的景观生态分区及必要的数据预处理是提高估产精度的基础。

In this paper, the Advanced Very High Resolution Radiometer (AVHRR) data from the NOAA Meteorological Saterllite are used to estimate the grass output of a vast grassland. Xilingele League of Inner Mongolia is selected as a test area, which is a typical grassland in North China. From the aspects of estimate principles, vegetation index selection and landscape ecological regionalization, the feasibility and approaches of using the NOAA/ AVHRR data to estimate and monitor the grass output of a vast grassland are discussed. Some new methods, including atmospheric correction, geometric correction and so on, are tried in data preprocess. The GIS technology also is applied in the research. It can be concluded that suitable landscape ecological regionalization and essencial data preprocess are the basis of improving the accuracy of output estimate.