Remote sensing and web-based platforms have emerged as vital tools in the effective monitoring of mangrove ecosystems, which are crucial for coastal protection, biodiversity, and carbon sequestration. Utilizing satell...Remote sensing and web-based platforms have emerged as vital tools in the effective monitoring of mangrove ecosystems, which are crucial for coastal protection, biodiversity, and carbon sequestration. Utilizing satellite imagery and aerial data, remote sensing allows researchers to assess the health and extent of mangrove forests over large areas and time periods, providing insights into changes due to environmental stressors like climate change, urbanization, and deforestation. Coupled with web-based platforms, this technology facilitates real-time data sharing and collaborative research efforts among scientists, policymakers, and conservationists. Thus, there is a need to grow this research interest among experts working in this kind of ecosystem. The aim of this paper is to provide a comprehensive literature review on the effective role of remote sensing and web-based platform in monitoring mangrove ecosystem. The research paper utilized the thematic approach to extract specific information to use in the discussion which helped realize the efficiency of digital monitoring for the environment. Web-based platforms and remote sensing represent a powerful tool for environmental monitoring, particularly in the context of forest ecosystems. They facilitate the accessibility of vital data, promote collaboration among stakeholders, support evidence-based policymaking, and engage communities in conservation efforts. As experts confront the urgent challenges posed by climate change and environmental degradation, leveraging technology through web-based platforms is essential for fostering a sustainable future for the forests of the world.展开更多
The advancement of imaging resolution has made the impact of multi-frequency composite jitter in satellite platforms on non-collinear time delay and integration(TDI)charge-coupled device(CCD)imaging systems increasing...The advancement of imaging resolution has made the impact of multi-frequency composite jitter in satellite platforms on non-collinear time delay and integration(TDI)charge-coupled device(CCD)imaging systems increasingly critical.Moreover,the accuracy of jitter detection is constrained by the limited inter-chip overlap region inherent to non-collinear TDI CCDs.To address these challenges,a multi-frequency jitter detection method is proposed,achieving sub-pixel level error extraction.Furthermore,a multi-frequency jitter fitting approach utilizing a scale-adjustable sliding window is introduced.For composite multi-frequency jitter,spectral analysis decomposes the relative jitter error curve,while the scale-adjustable sliding window enables frequency-division fitting and modeling.Validation experiments using Gaofen-8(GF-8)remote sensing satellite imagery detected jitter at 0.65,20,and 100 Hz in the cross-track direction and at 0.5,100,and 120 Hz in the along-track direction,demonstrating the method’s precision in detecting platform jitter at sub-pixel accuracy(<0.2 pixels)and its efficacy in fitting and modeling for non-collinear TDI CCD imaging systems subject to multi-frequency jitter.展开更多
China's coastal zone is a region with a highly developed economy that contrasts clearly with the slow paced regular investigation on its natural environment,which cannot keep pace with the requirement of economic ...China's coastal zone is a region with a highly developed economy that contrasts clearly with the slow paced regular investigation on its natural environment,which cannot keep pace with the requirement of economic development and modern management.Laying a theoretical foundation for the modern management of China's costal zone is aimed at. This research focuses on the following processing and analyzing technologies for coastal zone high-resolution remote sensing data: organization and management of large amounts of high-resolution remote sensing data, quick and precise spatial positioning system,algorithms for image fusion in feature level and coastal zone feature extraction. They will form a technical foundation of the system. And, if combined with other research results such as coastal zone remote sensing classification system and its mapping subsystem, an advanced technical frame for remote sensing investigation of coastal zone resource will be constructed.展开更多
Remote sensing, in particular satellite imagery, has been widely used to map cropland, analyze cropping systems, monitor crop changes, and estimate yield and production. However, although satellite imagery is useful w...Remote sensing, in particular satellite imagery, has been widely used to map cropland, analyze cropping systems, monitor crop changes, and estimate yield and production. However, although satellite imagery is useful within large scale agriculture applications （such as on a national or provincial scale）, it may not supply sufifcient information with adequate resolution, accurate geo-referencing, and specialized biological parameters for use in relation to the rapid developments being made in modern agriculture. Information that is more sophisticated and accurate is required to support reliable decision-making, thereby guaranteeing agricultural sustainability and national food security. To achieve this, strong integration of information is needed from multi-sources, multi-sensors, and multi-scales. In this paper, we propose a new framework of satellite, aerial, and ground-integrated （SAGI） agricultural remote sensing for use in comprehensive agricultural monitoring, modeling, and management. The prototypes of SAGI agriculture remote sensing are ifrst described, followed by a discussion of the key techniques used in joint data processing, image sequence registration and data assimilation. Finally, the possible applications of the SAGI system in supporting national food security are discussed.展开更多
Remote sensing underpins environmental monitoring and Earth science.The expansion of satellites and observation platforms drives a substantial increase in multi-source remote sensing data.The land-air-space multi-sens...Remote sensing underpins environmental monitoring and Earth science.The expansion of satellites and observation platforms drives a substantial increase in multi-source remote sensing data.The land-air-space multi-sensor stereoscopic observation heralds a new era of intelligent photogrammetry and digital infrastructure.However,the inherent complexity of multi-source data(spanning spatial,spectral,and temporal domains)poses challenges for observation,interpretation,and decision.1 The rapid advancement of artificial intelligence(AI)injects new vitality into the intelligent remote sensing by reshaping systems:from overcoming imaging limitations through enhanced visual observation to elevating knowledge dimensions via semantic understanding and ultimately enabling intelligent decision-making(Figure 1).This commentary examines how AI enhances visual observation,facilitates semantic transition,and empowers intelligent decision-making.These advancements provide support for the paradigm shift from data acquisition to cognitive services.展开更多
为了满足特色农作物信息化、智能化需求,以河北省邢台市为研究区,对邢台市周边各区县特色农作物种植情况进行遥感监测,并将监测结果与WebGIS结合,构建以Android平台为依托的地理信息系统(geographic information system,GIS)信息化管理...为了满足特色农作物信息化、智能化需求,以河北省邢台市为研究区,对邢台市周边各区县特色农作物种植情况进行遥感监测,并将监测结果与WebGIS结合,构建以Android平台为依托的地理信息系统(geographic information system,GIS)信息化管理系统。系统包括特色农作物相关的地图服务、专题信息查询、统计分析、图表报告生成以及GIS相关功能。研究表明:1)针对数据量大且复杂的农业种植数据,采用模型-视图-视图模型(Model-View-ViewModel,MVVM)结构,将GIS与农业数据相结合,使得农业数据在地理信息空间中的分布分析更为高效;2)移动端的数据管理系统相较于传统PC端能够更加便利地实现数据现场查询与管理;3)建立特色农作物种植地块信息管理系统能够将数据以空间分布、实景信息以及图表报告的形式展示,为研究区农业产业调整决策提供技术支持。展开更多
为解决江苏省水利遥感监测数据管理效率低、标准不统一、信息共享不足等问题,文章基于互联网、云计算、大数据和地理信息系统(Geographic Information System,GIS)等信息化技术,开展江苏水利遥感信息监测平台的研究与应用。平台通过构...为解决江苏省水利遥感监测数据管理效率低、标准不统一、信息共享不足等问题,文章基于互联网、云计算、大数据和地理信息系统(Geographic Information System,GIS)等信息化技术,开展江苏水利遥感信息监测平台的研究与应用。平台通过构建涵盖矢量数据和影像数据的专题数据库,制定统一数据标准,研发了外业核查软件、巡查管理系统和后台管理系统,实现了水利遥感监测全生命周期信息化管理。应用结果表明,该平台显著提升了水利监测与管理的效率,为省市县各级水利行政主管部门提供了有力的决策支撑,具有重要的经济和社会效益。展开更多
The purpose of this study was to find a way to promote the collaboration and interaction of students and bring about the growth of learners through feedback while taking advantage of real-time interactive class via vi...The purpose of this study was to find a way to promote the collaboration and interaction of students and bring about the growth of learners through feedback while taking advantage of real-time interactive class via video conferencing tools.Although real-time interactive class with using video conferencing tools had great advantages,but there were also limitations of active interaction.To this end,real-time interactive tool and cloud-based educational platform were applied to create cases of learner participation classes and analyze the cases.The convergence of real-time interactive class tools and cloud tools has been able to draw students’participation and collaboration in non-face-to-face situations,and it can be seen that it is very helpful in creating learner-centered educational activities based on communication and interaction with students.Through this,the application of the cloud-based educational platform in real-time interactive class could lead students to participate and collaborate even in non-face-to-face situations.展开更多
The uncertainty disturbance is one of the main disturbances that seriously influences the stabilization precision of an aerial inertially stabilized platform(ISP)system.In this paper,to improve the stabilization preci...The uncertainty disturbance is one of the main disturbances that seriously influences the stabilization precision of an aerial inertially stabilized platform(ISP)system.In this paper,to improve the stabilization precision of the ISP under disturbance uncertainty,a robust H∞controller is designed in this paper.Then,the reduction order is carried out for high-order controllers generated by the robust H∞loop shaping control method.The application of the minimum implementation and balanced truncation algorithm in controller reduction is discussed.First,the principle of reduced order of minimum implementation and balanced truncation are analyzed.Then,the method is used to reduce the order of the high-order robust H∞loop shaping controller.Finally,the method is analyzed and verified by the simulations and experiments.The results show that by the reduced-order method of minimum implementation and balanced truncation,the stabilization precision of the robust H∞loop shaping controller is increased by about 10%.展开更多
文摘Remote sensing and web-based platforms have emerged as vital tools in the effective monitoring of mangrove ecosystems, which are crucial for coastal protection, biodiversity, and carbon sequestration. Utilizing satellite imagery and aerial data, remote sensing allows researchers to assess the health and extent of mangrove forests over large areas and time periods, providing insights into changes due to environmental stressors like climate change, urbanization, and deforestation. Coupled with web-based platforms, this technology facilitates real-time data sharing and collaborative research efforts among scientists, policymakers, and conservationists. Thus, there is a need to grow this research interest among experts working in this kind of ecosystem. The aim of this paper is to provide a comprehensive literature review on the effective role of remote sensing and web-based platform in monitoring mangrove ecosystem. The research paper utilized the thematic approach to extract specific information to use in the discussion which helped realize the efficiency of digital monitoring for the environment. Web-based platforms and remote sensing represent a powerful tool for environmental monitoring, particularly in the context of forest ecosystems. They facilitate the accessibility of vital data, promote collaboration among stakeholders, support evidence-based policymaking, and engage communities in conservation efforts. As experts confront the urgent challenges posed by climate change and environmental degradation, leveraging technology through web-based platforms is essential for fostering a sustainable future for the forests of the world.
文摘The advancement of imaging resolution has made the impact of multi-frequency composite jitter in satellite platforms on non-collinear time delay and integration(TDI)charge-coupled device(CCD)imaging systems increasingly critical.Moreover,the accuracy of jitter detection is constrained by the limited inter-chip overlap region inherent to non-collinear TDI CCDs.To address these challenges,a multi-frequency jitter detection method is proposed,achieving sub-pixel level error extraction.Furthermore,a multi-frequency jitter fitting approach utilizing a scale-adjustable sliding window is introduced.For composite multi-frequency jitter,spectral analysis decomposes the relative jitter error curve,while the scale-adjustable sliding window enables frequency-division fitting and modeling.Validation experiments using Gaofen-8(GF-8)remote sensing satellite imagery detected jitter at 0.65,20,and 100 Hz in the cross-track direction and at 0.5,100,and 120 Hz in the along-track direction,demonstrating the method’s precision in detecting platform jitter at sub-pixel accuracy(<0.2 pixels)and its efficacy in fitting and modeling for non-collinear TDI CCD imaging systems subject to multi-frequency jitter.
基金the"863"Marine Monitor of Hi-tech Research and Development Program of China under contract No.2003AA604040.
文摘China's coastal zone is a region with a highly developed economy that contrasts clearly with the slow paced regular investigation on its natural environment,which cannot keep pace with the requirement of economic development and modern management.Laying a theoretical foundation for the modern management of China's costal zone is aimed at. This research focuses on the following processing and analyzing technologies for coastal zone high-resolution remote sensing data: organization and management of large amounts of high-resolution remote sensing data, quick and precise spatial positioning system,algorithms for image fusion in feature level and coastal zone feature extraction. They will form a technical foundation of the system. And, if combined with other research results such as coastal zone remote sensing classification system and its mapping subsystem, an advanced technical frame for remote sensing investigation of coastal zone resource will be constructed.
基金supported by the Opening Project of the Key Laboratory of Agri-Informatics,Ministry of Agriculture of China(2012004)the National Basic Research Program of China(973 Program,2010CB951500)+2 种基金the Innovation Project of Chinese Academy of Agricultural Sciencesthe National Natural Science Foundation of China(41301365)the National High-Tech R&D Program of China(863 Program,2013AA12A401)
文摘Remote sensing, in particular satellite imagery, has been widely used to map cropland, analyze cropping systems, monitor crop changes, and estimate yield and production. However, although satellite imagery is useful within large scale agriculture applications （such as on a national or provincial scale）, it may not supply sufifcient information with adequate resolution, accurate geo-referencing, and specialized biological parameters for use in relation to the rapid developments being made in modern agriculture. Information that is more sophisticated and accurate is required to support reliable decision-making, thereby guaranteeing agricultural sustainability and national food security. To achieve this, strong integration of information is needed from multi-sources, multi-sensors, and multi-scales. In this paper, we propose a new framework of satellite, aerial, and ground-integrated （SAGI） agricultural remote sensing for use in comprehensive agricultural monitoring, modeling, and management. The prototypes of SAGI agriculture remote sensing are ifrst described, followed by a discussion of the key techniques used in joint data processing, image sequence registration and data assimilation. Finally, the possible applications of the SAGI system in supporting national food security are discussed.
基金funded by the National Natural Science Foundation of China(U21B2027)the Natural Science Foundation of Jiangsu Province(BK20241280)the Start-up Research Fund of Southeast University(RF1028623006 and RF1028624061).
文摘Remote sensing underpins environmental monitoring and Earth science.The expansion of satellites and observation platforms drives a substantial increase in multi-source remote sensing data.The land-air-space multi-sensor stereoscopic observation heralds a new era of intelligent photogrammetry and digital infrastructure.However,the inherent complexity of multi-source data(spanning spatial,spectral,and temporal domains)poses challenges for observation,interpretation,and decision.1 The rapid advancement of artificial intelligence(AI)injects new vitality into the intelligent remote sensing by reshaping systems:from overcoming imaging limitations through enhanced visual observation to elevating knowledge dimensions via semantic understanding and ultimately enabling intelligent decision-making(Figure 1).This commentary examines how AI enhances visual observation,facilitates semantic transition,and empowers intelligent decision-making.These advancements provide support for the paradigm shift from data acquisition to cognitive services.
文摘为了满足特色农作物信息化、智能化需求,以河北省邢台市为研究区,对邢台市周边各区县特色农作物种植情况进行遥感监测,并将监测结果与WebGIS结合,构建以Android平台为依托的地理信息系统(geographic information system,GIS)信息化管理系统。系统包括特色农作物相关的地图服务、专题信息查询、统计分析、图表报告生成以及GIS相关功能。研究表明:1)针对数据量大且复杂的农业种植数据,采用模型-视图-视图模型(Model-View-ViewModel,MVVM)结构,将GIS与农业数据相结合,使得农业数据在地理信息空间中的分布分析更为高效;2)移动端的数据管理系统相较于传统PC端能够更加便利地实现数据现场查询与管理;3)建立特色农作物种植地块信息管理系统能够将数据以空间分布、实景信息以及图表报告的形式展示,为研究区农业产业调整决策提供技术支持。
文摘为解决江苏省水利遥感监测数据管理效率低、标准不统一、信息共享不足等问题,文章基于互联网、云计算、大数据和地理信息系统(Geographic Information System,GIS)等信息化技术,开展江苏水利遥感信息监测平台的研究与应用。平台通过构建涵盖矢量数据和影像数据的专题数据库,制定统一数据标准,研发了外业核查软件、巡查管理系统和后台管理系统,实现了水利遥感监测全生命周期信息化管理。应用结果表明,该平台显著提升了水利监测与管理的效率,为省市县各级水利行政主管部门提供了有力的决策支撑,具有重要的经济和社会效益。
文摘The purpose of this study was to find a way to promote the collaboration and interaction of students and bring about the growth of learners through feedback while taking advantage of real-time interactive class via video conferencing tools.Although real-time interactive class with using video conferencing tools had great advantages,but there were also limitations of active interaction.To this end,real-time interactive tool and cloud-based educational platform were applied to create cases of learner participation classes and analyze the cases.The convergence of real-time interactive class tools and cloud tools has been able to draw students’participation and collaboration in non-face-to-face situations,and it can be seen that it is very helpful in creating learner-centered educational activities based on communication and interaction with students.Through this,the application of the cloud-based educational platform in real-time interactive class could lead students to participate and collaborate even in non-face-to-face situations.
基金supported in part by the Beijing Natural Science Foundation(Grant No.3182021)National Natural Science Foundation of China(Grant No.51775017)+1 种基金Research Project of Beijing Academy of Quantum Information Sciences(Grant No.Y18G30)the Open Research Fund of the State Key Laboratory for Manufacturing Systems Engineering(Grant No.sklms2018005)
文摘The uncertainty disturbance is one of the main disturbances that seriously influences the stabilization precision of an aerial inertially stabilized platform(ISP)system.In this paper,to improve the stabilization precision of the ISP under disturbance uncertainty,a robust H∞controller is designed in this paper.Then,the reduction order is carried out for high-order controllers generated by the robust H∞loop shaping control method.The application of the minimum implementation and balanced truncation algorithm in controller reduction is discussed.First,the principle of reduced order of minimum implementation and balanced truncation are analyzed.Then,the method is used to reduce the order of the high-order robust H∞loop shaping controller.Finally,the method is analyzed and verified by the simulations and experiments.The results show that by the reduced-order method of minimum implementation and balanced truncation,the stabilization precision of the robust H∞loop shaping controller is increased by about 10%.
