|本期目录/Table of Contents|

[1]杨妮,邓树林,樊艳红,等.叶绿素荧光遥感反演及其农业监测应用研究进展[J].江苏农业科学,2023,51(14):1-13.
　Yang Ni,et al.Research progress of chlorophyll fluorescence retrieval by remote sensing and its application in agricultural monitoring[J].Jiangsu Agricultural Sciences,2023,51(14):1-13.
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叶绿素荧光遥感反演及其农业监测应用研究进展(PDF)
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第51卷
期数:
2023年第14期
页码:
1-13
栏目:
专论与综述
出版日期:
2023-07-20

文章信息/Info

Title:
Research progress of chlorophyll fluorescence retrieval by remote sensing and its application in agricultural monitoring
作者:
杨妮1; 2; 邓树林3; 樊艳红2; 谢国雪4
1.中国地质大学(武汉)地理与信息工程学院，湖北武汉 430074； 2.广西财经学院管理科学与工程学院，广西南宁 530003；3.南宁师范大学地理科学与规划学院，广西南宁 530001； 4.广西农业科学院农业科技信息研究所，广西南宁 530003
Author(s):
Yang Ni; et al
关键词:
日光诱导叶绿素荧光(SIF); 农业; 环境胁迫; 产量估算; 遥感监测
Keywords:
-
分类号:
S127
DOI:
-
文献标志码:
A
摘要:
近年快速发展起来的日光诱导叶绿素荧光(solar-induced chlorophyll fluorescence，SIF)可直接量化植被的实际光合作用，为实现大面积农作物及时有效监测提供新的手段，在农业监测领域中具有非常重要的应用价值和广阔的应用前景。因此，本文分析近年来卫星SIF遥感的发展趋势，从理论上解释遥感信息中提取SIF的难度，总结叶绿素荧光远程检测原理及多重影响因素；对比分析基于辐射传输方程的算法、简化的物理模型算法和数据驱动算法3种反演方法的优缺点，系统梳理卫星SIF产品及其反演方法；从响应敏感性和监测机理方面探讨SIF遥感在监测作物环境胁迫和生产力与产量评估应用中的主要方法与最新技术。由于当前用于SIF反演的卫星传感器均不是专门进行荧光探测，SIF产品具有空间不连续、时空分辨率较低等缺点，在卫星SIF数据反演方法、作物胁迫监测、SIF与GPP机理联系、SIF数据同化等方面仍有较多待解决的问题。今后需继续深入研究SIF遥感的作物环境胁迫响应机理与生产力估算方法，进一步集成荧光、热红外、微波等多源遥感，进而大幅度提高农业监测能力，以保障国家农业安全生产，为SIF遥感深入应用提供一定的理论参考。
Abstract:
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备注/Memo

备注/Memo:
收稿日期：2022-10-09
基金项目：国家自然科学基金(编号：42061071)；广西科技基地和人才专项(编号：桂科AD20297027)；广西自然科学基金(编号：2021GXNSFBA220061)；广西高校中青年教师科研基础能力提升项目(编号：2021KY0397)；统计学广西一流学科建设项目(编号：桂教科研〔2022〕1号)。
作者简介：杨妮(1989—)，女，广西桂平人，博士研究生，副教授，研究方向为GIS与遥感应用、空间信息技术应用与服务。E-mail：yangniyyy@163.com。
通信作者：邓树林，博士，助理研究员，研究方向为资源环境遥感。E-mail：dengshulin12531@163.com。
更新日期/Last Update: 2023-07-20