Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2023-01-11 DOI: 10.34133/remotesensing.0022

Suming Jin, J. Dewitz, P. Danielson, B. Granneman, Catherine Costello, Kelcy Smith, Zhe Zhu

引用次数: 1

Estimating aboveground carbon dynamic of China using optical and microwave remote sensing datasets from 2013 to 2019 基于光学和微波遥感数据的2013 - 2019年中国地上碳动态估算

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2023-01-05 DOI: 10.34133/remotesensing.0005

Zhongbing Chang, L. Fan, J. Wigneron, Ying‐ping Wang, P. Ciais, J. Chave, R. Fensholt, Jing-Ming Chen, Wenping Yuan, W. Ju, Xin Li, Fei Jiang, Mousong Wu, Xiuzhi Chen, Yuanwei Qin, F. Frappart, Xiaojun Li, Mengjia Wang, Xiangzhuo Liu, Xuli Tang, Sanaa Hobeichi, Mengxiao Yu, Mingguo Ma, Jianguang Wen, Q. Xiao, W. Shi, Dexin Liu, Junhua Yan

引用次数: 2

A Primary Exploration of Geographic Metaverse from the Perspective of Virtual Geographic Environment 虚拟地理环境视角下的地理元宇宙初探

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2023-01-01 DOI: 10.11834/jrs.20233004

Jianhua Gong, Hui Lin, Bingli Xu, Wenhang Li, Gouyong Zhang

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引用次数: 0

A Preliminary Study of semantic Virtual Geographic Environment in the Context of Wetland Monitoring 湿地监测中语义虚拟地理环境初探

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2023-01-01 DOI: 10.11834/jrs.20233111

Xin XIAO, Hao CHEN, Bingli XU, Chaoyang FANG, Hui LIN

引用次数: 0

Progresses in Integrated Application Methods of Geographic Analysis Models for Virtual Geographic Environment Construction 地理分析模型在虚拟地理环境构建中的集成应用方法研究进展

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2023-01-01 DOI: 10.11834/jrs.20233005

Songshan YUE, Guonian LV, Yongning WEN, Min CHEN

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引用次数: 0

Earth Map: A Novel Tool for Fast Performance of Advanced Land Monitoring and Climate Assessment 地球地图:先进土地监测和气候评估快速执行的新工具

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2023-01-01 DOI: 10.34133/remotesensing.0003

Carmen Morales, A. S. Díaz, Daniel Dionisio, Laura Guarnieri, G. Marchi, D. Maniatis, D. Mollicone

{"title":"Earth Map: A Novel Tool for Fast Performance of Advanced Land Monitoring and Climate Assessment","authors":"Carmen Morales, A. S. Díaz, Daniel Dionisio, Laura Guarnieri, G. Marchi, D. Maniatis, D. Mollicone","doi":"10.34133/remotesensing.0003","DOIUrl":"https://doi.org/10.34133/remotesensing.0003","url":null,"abstract":"\u0000 Earth Map (\u0000 https://earthmap.org/\u0000 ) is an innovative and free application developed by the Food and Agriculture Organization of the United Nations that was designed in the framework of the Food and Agriculture Organization of the United Nations–Google partnership and facilitates the visualization, processing, and analysis of land and climate data. Earth Map makes petabytes of multitemporal, multiscale, multiparametric, and quasi-real-time satellite imagery and geospatial datasets available to any user thanks to the power of Google Earth Engine (\u0000 https://earthengine.google.com/\u0000 ) and a point-and-click graphical user interface. These are further complemented with more planetary-scale analytical capabilities so that global and local changes and trends on Earth’s surface can be easily detected, quantified, and visualized. It does not require users to master coding techniques, thereby avoiding bottlenecks in terms of technical capacities of nonexpert users. It ultimately paves the way for countries, research institutes, farmers, and members of the general public to access critical knowledge to develop science-based policy interventions, leverage investments, and sustain livelihoods. We provide a full overview of Earth Map’s software architecture, design, features, and datasets. To illustrate the possible applications of the tool, different examples are presented including a few case studies that show how quick historical analysis of environmental and climate parameters can be performed and research questions answered. The examples demonstrate that Earth Map is a comprehensive and user-friendly tool for land monitoring and climate assessment and that it has the potential to be used to assess land use, land use change, climate change impacts, and natural disasters.\u0000","PeriodicalId":38304,"journal":{"name":"Yaogan Xuebao/Journal of Remote Sensing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45085550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Monitoring soil salinization based on remote sensing and proximal soil sensing： progress and perspective 基于遥感和近端土壤遥感的土壤盐渍化监测:进展与展望

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2023-01-01 DOI: 10.11834/jrs.20233164

Jingzhe WANG, Jianli DING, Xiangyu GE, Jie PENG, Zhongwen HU

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引用次数: 0

Accurately retrieving vegetation phenology at high spatial and temporal resolutions based on GEE and multi-source remote sensing data fusion 基于GEE和多源遥感数据融合的高时空分辨率植被物候精确检索

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2023-01-01 DOI: 10.11834/jrs.20232646

Jie Song, Zhao Zhang, Jichong Han

引用次数: 0

Farmland Shelterbelt Information Extraction Based on Multispectral Image of ZY-1-02E Satellite 基于ZY-1-02E卫星多光谱图像的农田防护林信息提取

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2023-01-01 DOI: 10.11834/jrs.20232526

Yifu Li, Bin Sun, Zhihai Gao, Bengyu Wang, Ziyu Yan, Wensen Su, Ting Gao, Wei Yue

引用次数: 0

Discussion on flood control application technology of digital twin Basin based on virtual geographic environment 基于虚拟地理环境的数字双流域防洪应用技术探讨

Yaogan Xuebao/Journal of Remote Sensing Pub Date : 2023-01-01 DOI: 10.11834/jrs.20233022

Yi LI, Shi-feng HUANG, Wen-bin ZANG, Zhi-guo GAO

引用次数: 0

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