相关实验视频

Updated: Jun 23, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

提升耕地中的净生态系统CO2交换:集成基于对象的图像分析和机器学习方法的应用

Dexiang Gao¹, Jingyu Yao¹, Zhongming Gao²

¹School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong 519082, China; Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, Sun Yat-sen University, Zhuhai, Guangdong 519082, China.

The Science of the total environment

|June 14, 2024

概括

通过将基于对象的图像分析与机器学习相结合,提高了准确的耕地二氧化碳交换估计. 这种综合方法增强了区域净生态系统交换 (NEE) 的预测,减少了农业碳循环研究的不确定性.

科学领域:

地球和环境科学地球和环境科学
农业科学农业科学
遥感遥感遥感遥感

背景情况:

估计农田的二氧化碳净生态系统交换 (NEE) 对于评估农业影响和气候影响至关重要.
区域NEE估计面临由于景观异质性和升级模型限制的不确定性.

研究的目的:

开发和评估一种综合方法,将基于对象的图像分析 (OBIA) 和机器学习 (ML) 结合起来,用于升级区域农田.
为了提高农田特征在NEE估计中的准确性和表示性.

主要方法:

应用了OBIA,以有效地对耕地对象进行细分.
集成了三个ML算法,包括连续最小方程编程,用于NEE预测.
评估了四个不同的耕地区域的升级方法.
利用夏普利添加式拓展 (SHAP) 来识别NEE的关键驱动因素.

主要成果:

奥比亚有效地提高了耕地特征的表现.
顺序最小平方编程ML算法实现了高预测准确性 (R2>0.80,达到0.90的峰值).
综合方法比传统方法显著改善 (18%对最差的ML,6%对最好的ML).
升级区域产品在特征NEE模式方面表现优于基于像素的产品.
现象学和辐射被确定为最有影响力的驱动因素,其次是温度和土壤水分.

结论:

整合OBIA和ML提供了一种强大的方法,用于升级区域耕地NEE.
这种方法有效地减少了NEE估计中的不确定性.
这些发现为农业景观中的碳循环提供了宝贵的见解,并为气候变化缓解战略提供了信息.

关键词:

碳流量上升升规模的碳流.埃迪的共变性埃迪共变性机器学习是机器学习.净生态系统交易所面向对象的图像分析是面向对象的.

更多相关视频

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

相关概念视频

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

The Calvin Benson Cycle

The Calvin Benson Cycle

Ribulose 1,5- bisphosphate carboxylase/oxygenase (RuBisCo) is a critical enzyme that catalyzes carbon dioxide assimilation during photosynthesis. However, it is an inefficient enzyme, having an extremely slow catalytic rate. A typical enzyme can process about a thousand molecules per second; however, RuBisCo fixes only around three-carbon dioxides per second. Photosynthetic cells compensate for this slow rate by synthesizing very high amounts of RuBisCo, making it the most abundant single...