新疆农业科学2011，Vol.48Issue(1)：172-176,5.
基于高光谱的荒漠植物含水率预测模型
Prediction Model of Water Content of Desert Plants Based on Hyperspectral
摘要
Abstract
[ Objective]According to the hyperspectral and water content of desert plants investigated in filed, prediction model was established which could provide basis for ecological monitoring and survival environment estimating based on remote sensing. [Method]To measure the spectral reflectance of seventeen desert plantd and their water content, correlative analysis methord was used to analyze the relationship between water content and spectral reflectance. [ Result] It was found out that the wave band 1 405 - 1 534 nm was the most hypersensitive band, according to the water absorption deepth in the bands of 978 - 1 030 nm,1 405 - 1 534 nm to establish the linear model which was used to forecast the water content of desert plants . [ Conclution] The linear model established based on the water absorption deepth of wave band 1 405 - 1 534 nm could forecast the water content exactly.关键词
荒漠植物/高光谱/含水率/吸收深度分类
农业科技引用本文复制引用
赵钊,李霞,董道瑞..基于高光谱的荒漠植物含水率预测模型[J].新疆农业科学,2011,48(1):172-176,5.基金项目
国家自然科学基金项目(40961027) （40961027）
新疆维吾尔自治区草地资源与生态重点实验室 （）
