相关实验视频

Updated: Jan 8, 2026

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

PyGEOPR:一个Python包用于植被特征绘制与高斯过程回归地球观测云平台上的高斯过程回归

Dávid D Kovács^1,2,3, Emma De Clerck¹, Jochem Verrelst¹

¹IPL - University of Valencia, Catedrático Agustín Escardino Benlloch 9, Paterna, 46980, Spain.

Ecological informatics

|December 12, 2025

概括

PyEOGPR Python包提供高斯过程回归 (GPR) 模型,用于使用卫星地球观测 (EO) 数据量化植被特征. 它可以在云平台中进行高效的大规模植被分析和绘制地图,增强环境监测.

科学领域:

地球观测地球观测
机器学习机器学习
植物科学植物科学

背景情况:

从卫星数据中量化植被特征对于环境监测和农业生态学至关重要.
现有的方法通常需要大量的本地处理,并且缺乏不确定性估计.
高斯过程回归 (GPR) 提供了一个概率方法,用不确定性量化.

研究的目的:

引入PyEOGPR Python包,以实现基于GPR的植物特征量化.
在谷歌地球引擎和openEO.com等云平台中使用验证的GPR模型.
为了促进大规模的植被分析和绘制与不确定性估计的地图.

主要方法:

开发PyEOGPR Python包,集成概率的GPR模型.
将GPR模型应用于Sentinel-2和Sentinel-3卫星数据以检索植被特征.
展示景观和全球规模的植被特征绘制与不确定性量化.

主要成果:

PyGEOPR提供了27个验证的GPR模型,用于常见和具有挑战性的植被特征,包括树冠含量.
该软件包可以在没有本地数据下载的情况下进行高效,大规模的植被特征绘制.
生成的地图显示了使用Sentinel-2数据的景观尺度特征分布和使用Sentinel-3数据的全球特征分布.

结论:

PyGEOPR使访问先进的GPR模型的民主化,用于云环境中的植被分析.
该包通过不确定性估计提高了植被特征检索的可靠性.
PyGEOPR提高了地球观测数据处理的效率,用于环境监测和可持续农业生态.

关键词:

谷歌的地球引擎.机器学习是机器学习.Python 软件包是 Python 软件包的一个组成部分.遥感是一种远程传感.植物特征检索植物特征检索这是一个开放的EOEO.

更多相关视频

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Published on: May 10, 2020

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

相关概念视频

GIS Software, Hardware, and Sources of GIS Data

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...

Introduction to GIS

Introduction to GIS

Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...

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.

Levels of Use of a GIS

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...

Plotting of Topographic Maps

Plotting of Topographic Maps

Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...

Precipitation Gravimetry

Precipitation Gravimetry

Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...