中文摘要：

【目的】棉花叶面积指数是反映作物生物量的重要参数,本文旨在运用遥感数据对这一参数进行估算,为叶面积指数的获取提供更方便快捷的估算模型。【方法】采用美国ASD公司FieldSpec？手持便携式光谱分析仪所获取的棉花冠层光谱反射率和从中等分辨率的遥感图像提取的植被指数,利用相关分析和回归分析方法,找出叶面积指数的最佳估算时相期和最佳遥感估算模型。【结果】棉花的整个生育期内,叶面积指数在时间曲线上呈现出波动变化,在始铃期棉花的叶面积指数达到峰值,据此规律通过提取该时期的遥感数据,得出棉花叶面积指数的遥感估算模型。【结论】棉花叶面积指数的最佳估算时相是盛花期和结铃期,各品种棉花叶面积指数的遥感估算模型通过精度检验,拟合R2与检验R2均达到了极显著水平。

英文摘要：

[Objective] Cotton leaf area index is a kind of important parameters reflecting biomass of vegetation, the objective of this paper is to estimate this parameter with remote sense data, and supply a rapid remote sensing estimating model for leaf area index. [Method] Based on the crowns spectrum reflectivity from USA ASD company FieldSpec portable spectroanalysis instrument and the vegetation index from moderate resolution remote sense imagines, using correlation analysis and regression analysis method, to find out the optimum temporal and the best remote sensing model for estimating cotton LAI. [Result] It was found that the optimum temporal for estimating cotton LAI is cotton knot florescence. Through checkout on model accuracy, its R square and checking R square have reached very significant level.