Robotics & Machine Learning Daily News2024,Issue(Dec.5) :82-83.

Reports Outline Machine Learning Research from South China Normal University (A Parameter Optimized Method for InVEST Modelin Sub-Pixel Scale Integrating Machi ne Learning Algorithm and Vegetation-Impervious Surface-Soil Model)

华南师范大学机器学习研究综述(InVEST模型参数优化方法亚像素尺度下结合机器学习算法和植被-不透水地表-土壤模型的研究

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :82-83.

Reports Outline Machine Learning Research from South China Normal University (A Parameter Optimized Method for InVEST Modelin Sub-Pixel Scale Integrating Machi ne Learning Algorithm and Vegetation-Impervious Surface-Soil Model)

华南师范大学机器学习研究综述(InVEST模型参数优化方法亚像素尺度下结合机器学习算法和植被-不透水地表-土壤模型的研究

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻-关于人工智能的研究结果将在一份新报告中讨论。据新闻报道由NewsRx记者发源于中华人民共和国广州,研究称,InVEST Mode L具有空间可视化和量化的能力,是一个重要的绘制生态系统服务图的工具。然而,该方法的空间精度和仿真性能却很差模型受土地利用参数的影响较大,往往依赖于土地利用/覆盖的精度数据。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on artificial intelligence are discussed in a new report. According to newsoriginating from Guangzhou, People’ s Republic of China, by NewsRx correspondents, research stated,“The InVEST mode l, with its ability to perform spatial visualization and quantification, is an i mportanttool for mapping ecosystem services. However, the spatial accuracy and simulating performance of themodel are deeply influenced by the land use parame ter, which often relies on the accuracy of land use/coverdata.”

Key words

South China Normal University/Guangzhou/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Investment and Finance/Machine Learning/Remote Sensing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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