Robotics & Machine Learning Daily News2024,Issue(Dec.5) :48-49.

Reports from Zhejiang A&F University Advance Knowledge in Machine L earning (Comprehensive Representations of Subpixel Land Use and Cover Shares by Fusing Multiple Geospatial Datasets and Statistical Data with Machine-Learning M ethods)

浙江农林科技大学的报告《机器学习知识》(用机器学习方法融合多个地理空间数据集和统计数据,综合表示亚像素土地利用和覆盖份额)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :48-49.

Reports from Zhejiang A&F University Advance Knowledge in Machine L earning (Comprehensive Representations of Subpixel Land Use and Cover Shares by Fusing Multiple Geospatial Datasets and Statistical Data with Machine-Learning M ethods)

浙江农林科技大学的报告《机器学习知识》(用机器学习方法融合多个地理空间数据集和统计数据,综合表示亚像素土地利用和覆盖份额)

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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每日新闻-关于人工智能的最新研究成果已经发表。据新闻报道原产于中华人民共和国韩州,由NewsRx Research通讯员报道“土地利用和覆盖变化(LUCC)是影响全球环境和社会经济的一个关键因素系统。许多长期的地理空间LUCC数据集在不同的尺度上得到了发展由于长期卫星数据、统计数据和计算数据的提供,近几十年来技术。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According to newsreporting originating from Han gzhou, People’s Republic of China, by NewsRx correspondents, researchstated, “L and use and cover change (LUCC) is a key factor influencing global environmental and socioeconomicsystems. Many long-term geospatial LUCC datasets have been de veloped at various scales duringthe recent decades owing to the availability of long-term satellite data, statistical data and computationaltechniques.”

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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