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从Sentinel-3和MODIS对东欧亚大草原的关键植被参数进行量化,使用贝叶斯地缘统计模型

Zhenwang Li¹, Lei Ding², Beibei Shen³

¹Jiangsu Key Laboratory of Crop Genetics and Physiology, Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China.

The Science of the total environment

|November 16, 2023

概括

哨兵-3 OLCI数据增强了草原监测,在叶面积指数,部分植被覆盖和地面生物质估计方面表现优于MODIS. 红边带进一步提高了东欧亚草原的精度.

科学领域:

地球观测地球观测
遥感遥感遥感遥感
生态生态学生态生态学

背景情况:

准确的草原监测对于生态研究至关重要.
哨兵-3 OLCI为植被变量估计提供了新的潜力.
之前对草原变量进行的OLCI评估是有限的.

研究的目的:

评估Sentinel-3的OLCI和MODIS数据,用于草地LAI,FVC和AGB估计.
在东欧亚草原上比较OLCI和MODIS数据的准确性.
评估红边带和贝叶斯空间建模的实用性,以改善估计.

主要方法:

使用 Sentinel-3 OLCI 和 MODIS 卫星图像.
采用贝叶斯空间模型 (INLA-SPDE) 来处理空间自相关性.
使用红色边缘波段与传统可见和NIR波段进行模型性能比较.

主要成果:

对于LAI,FVC和AGB,Sentinel-3 OLCI模型的准确性高于MODIS模型.
与可见和NIR频段相比,红边带提高了估计准确度.
INLA-SPDE模型的性能优于随机森林和随机森林战争方法.

结论:

哨兵-3 OLCI 数据是草原变量估计的宝贵工具.
红边带和先进的空间建模增强了基于遥感的生态监测.
这些发现支持使用OLCI来改善草原管理和研究.

关键词:

贝叶斯模型是贝叶斯模型.生物物理参数生物物理参数草原是一片草地.莫迪斯 (MODIS) 是一种模式.遥感是一种远程传感.哨兵三号卫星 - 哨兵三号卫星

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