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-调查人员发布马学习的新报告。根据新闻报道NewsRx Jour Nalist在印度瓦拉纳西发表的研究报告称，“贾里亚煤田的高级煤炭储量”（JCF，Ind IA）总是与地下煤炭火灾和地面沉降有关。本研究探讨多传感器时间序列卫星数据（Landsat 8 OLI和S entinel-1）通过机器学习(ML)至确定伴随煤火的区域地面变形及其背景关系。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Varanasi, India, by NewsRx jour nalists, research stated, “High-rank coal reserves in Jharia Coalfield(JCF, Ind ia), are invariably associated with underground coal fires and land subsidence. This study exploresmulti-sensor time series satellite data (Landsat 8 OLI and S entinel-1) through machine learning (ML) todetermine the regional ground deform ation accompanying coal fires and their contextual relationship.”
NETL
NSTL