遥感云计算与科学分析

课程编码：1801010705I0P1012Y 英文名称：Remote sensing cloud computing and scientific analysis 课时：50 学分：2.50 课程属性：学科核心课 主讲教师：董金玮等

本课程将面向地学、环境、气候和生态等专业的硕博士研究生，开展遥感云计算平台应用和实践的教学。课程将聚焦遥感云计算的科学和技术前沿，从理论与基础、实验上机、专题案例分析三个方面进行讲解，首先介绍遥感大数据和遥感云计算的背景、基本概念与原理，在此基础上通过上机实习学习遥感云计算平台的应用编程实践，然后以研究案例介绍遥感云计算平台PIE-ENGINE和常用卫星数据(MODIS, Landsat, 高分等)在土地覆盖和土地利用变化、气候变化和生态学中的应用。

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第一章 Basics of Remote Sensing Cloud computing
第1节 What is Remote Sensing Cloud Computing? 3学时 董金玮
第2节 State-of-the-art and Perspective of Remote Sensing Cloud Computing platform: Google Earth Engine (GEE) 3学时 董金玮
第3节 State-of-the-art and Perspective of Remote Sensing Cloud Computing platforms: PIE-Engine and Microsoft Plenary Computer 3学时 董金玮
第4节 Progress of Cloud Computing platforms 3学时 董金玮
第5节 Student Presentation: questions and potential solutions using PIE-Engine and GEE 3学时 董金玮
第二章 Practice of Remote Sensing Cloud computing
第1节 Introduction of PIE-Engine and GEE 3学时 付东杰
第2节 Image and Image Collection 3学时 付东杰
第3节 Feature and Feature Collection 3学时 付东杰
第4节 Reducers: the way to aggregate data over time, space, bands, arrays and other data structures in PIE-Engine and GEE 6学时 付东杰
第5节 Machine Learning in PIE-Engine and GEE 3学时 董金玮
第6节 Specialized Algorithms in PIE-Engine and GEE: Landsat Algorithms, Sentinel-1 Algorithms, Resampling and Reducing Resolution 3学时 董金玮
第三章 Applications of Remote Sensing Cloud computing
第1节 Applications on Land Cover and Land use Changes: Process in land cover/use data products; Land information extraction in different topics such as cropland, forest and urban land 3学时 付东杰
第2节 Applications on Land Cover and Land use Changes: Land information extraction in different topics such as water and grassland; Validation of land cover/use data 3学时 付东杰
第3节 Applications on Climate Change: Case study of Land Surface Temperature in China 3学时 董金玮
第4节 Applications on Climate Change: Climate forecast for California, USA 3学时 董金玮
第5节 Applications on Ecological monitoring and assessment: Smoothing interpolation of vegetation index; Extraction and simulation of vegetation phenological information. 3学时 付东杰
第6节 Applications on Ecological monitoring and assessment: Simulation of GPP and evapotranspiration; Agricultural drought monitoring 3学时 付东杰
第7节 Student presentation: presentations on final project and final exam 3学时 董金玮
第8节 Final Exam 3学时 付东杰

Jinwei Dong is a professor at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. His primary research focus revolves around the remote sensing monitoring of agricultural land use changes and the comprehensive assessment of their ecological and climatic impacts. He has made significant contributions by developing high-accuracy thematic land use products, including crop classification, early monitoring, and irrigation distribution, through employing the integration of remote sensing big data, cloud computing, and innovative algorithms. Based on the improved land use products, he has conducted analyses of the multidimensional environmental effects associated with agricultural land use changes. He has published over 60 SCI papers as the first or corresponding author, prominently featured in prestigious journals such as Nature Sustainability, Nature Communications, and RSE.