Application Of Remote Sensing Technology Research Articles

Water Quality Inversion of a Typical Rural Small River in Southeastern China Based on UAV Multispectral Imagery: A Comparison of Multiple Machine Learning Algorithms

Remote sensing technology applications for water quality inversion in large rivers are common. However, their application to medium/small-sized water bodies within rural areas is limited due to the low spatial resolution of remote sensing images. In this work, a typical small rural river was selected, and high-resolution unmanned aerial vehicle (UAV) multispectral images and ground monitoring data of the river were obtained. Then, a comparative analysis of three univariate regression models and nine machine learning models (Ridge Regression (RR), Support Vector Regression (SVR), Grid Search Support Vector Regression (GS-SVR), Random Forest (RF), Grid Search Random Forest (GS-RF), eXtreme Gradient Boosting (XGBoost), Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Catboost Regression (CBR)) for their accuracy in the prediction of turbidity (TUB), total nitrogen (TN), and total phosphorus (TP) was performed. TUB can be achieved by simple statistical regression models. The CBR model exhibited the best performance for the three index inversions on the test set evaluation metrics: R2 (0.90~0.92), RMSE (7.57 × 10−3~1.59 mg/L), MAE (0.01~1.30 mg/L), RPD (3.21~3.56), and NSE (0.84~0.92). The water pollution of the study area was closely related to its land-use pattern, excessive and irrational fertilizer application, and distribution of pollutant outlets.

An Overview of the Application of Remote Sensing Technologies in Disaster Management (with an Emphasis on Natural Hazards)

An Overview of the Application of Remote Sensing Technologies in Disaster Management (with an Emphasis on Natural Hazards)

Application of Remote Sensing Technology in Wildfire Research: Bibliometric Perspective

Application of Remote Sensing Technology in Wildfire Research: Bibliometric Perspective

The Application of Remote Sensing Technology in Returning Farmland to Forest

Since the 1980s, due to China's economic development, large tracts of forest trees have been felled, causing serious soil erosion and environmental pollution problems. But since the beginning of this century, China has started to convert farmland to forests and various vegetation restoration activities. The purpose of returning farmland to forest is to better protect the environment and prevent soil erosion. This paper introduces the use of remote sensing images to detect the implementation of the project of returning farmland to forest. Explain the method of sample selection and the steps of data collection. The plan on remote sensing monitoring of returning farmland to forest was introduced. At the same time, the help and continuous monitoring of remote sensing technology after returning farmland to forest was introduced. This article contains examples and analysis of scientists using GIS technology to assist in returning farmland to forests. Finally, it includes the prospect and expectation of GIS for the project of returning farmland to forest. And the future application of this technology in this project is prospected.

Application and Outlook of Remote Sensing Technology in Water Environment Monitoring

Water environment monitoring is a critical tool for effective environmental protection and management. However, traditional methods often fall short in meeting the requirements of large-scale and real-time monitoring. To overcome these limitations, remote sensing technology has emerged as a non-contact, rapid, and efficient approach, playing a pivotal role in water environment monitoring. This paper provides a comprehensive overview of the principles and methodologies employed in remote sensing technology for monitoring water quality pollutants, detecting changes in water bodies, and preserving wetland ecosystems in the context of water environment monitoring. The practical application and significance of remote sensing technology are exemplified through a range of specific case studies. Moreover, the paper analyzes the existing status and challenges of domestic water environment remote sensing monitoring, while also presenting future development directions. The research and application outlined in this paper serve as a valuable reference, driving innovation and progress in water environment remote sensing monitoring in our country. Additionally, the findings of this study are of great significance in improving the efficiency and effectiveness of water environmental protection and management, as well as promoting the wider application of remote sensing technology within the environmental domain.

Application of Remote Sensing Technology in the Field of Lake Pollution Control and Monitoring

Lake pollution has always been one of the significant environmental concerns for humanity. This article explores the hazards of lake pollution and analyzes whether remote sensing technology is meaningful for monitoring and controlling lake pollution in the context of abundant remote sensing resources. The results show that remote sensing technology can help people monitor the pollution status of lakes and assess the effectiveness of their management more easily. This article investigates the role of remote sensing technology in eutrophication, organic pollution, and heavy metal contamination, along with the challenges faced. It also examines the application of remote sensing technology in lake degradation, restoration, and management. It concludes that remote sensing technology can indeed play a role in lake pollution monitoring and control, offering benefits such as reduced labor, time, and spatial costs. The article aims to find more reasonable ways to address lake pollution control and lake environmental management issues while minimizing the ecological impacts of lake pollution.

Application of Remote Sensing Technology in Sustainable Urban Planning and Development

Urban planning is super vital for cities. Good planning for the city would provide more convenience and benefits to citizens through economic effects, beautiful scenery and so on. This study analyses the application of remote sensing technologies in urban landscaping planning, transportation, and environmental protection. The combination of remote sensing and GIS technologies makes urban landscaping planning more accessible in urban landscaping planning. Usually, remote sensing provides satellite images, while the GIS processes the image and compares the target region for analysis. The combination method could predict urban green spaces. In urban transportation planning, remote sensing technology could combine with Artificial intelligence smart video technology to protect peoples safety in transportation, such as observing traffic violations by capturing videos or images and protecting traffic safety. In environmental protection, remote sensing could monitor the area change of wetlands and solve the natural disasters around the city. Different approaches have their benefits and disadvantages, and thus making urban plans by combining various techniques is essential.

Application of Remote Sensing Technologies in Environmental Monitoring and Geological Surveys

Remote sensing technology is an emerging observation technology. By applying various sensing instruments to electromagnetic wave information radiated and reflected by distant targets, it is collected, processed, and finally imaged. The resulting images allow people to detect and identify various scenes on the ground. It can dynamically reflect changes in the ground, monitor weather conditions, natural disasters, etc. This paper combines the relevant literature to synthesise the technical theory and specific applications of remote sensing technology in four areas: vegetation, soil, water resources and geology. The analysis of the vegetation index allows for the classification and dynamic monitoring of vegetation. Soil indicators can be monitored to determine the condition of the soil in an area, including soil contamination, soil erosion and land salinisation. The distribution of water resources in an area, runoff prediction and water quality monitoring can also be monitored by remote sensing technology. The technology can also be effective in mineral exploration and monitoring geological disasters. Although remote sensing technology has unique strengths in these four fields, there are still some technical limitations and shortcomings.

Application of Remote Sensing Technology in Different Natural Disasters

Flood, typhoon and heat wave are common natural disasters in the world. Satellite remote sensing technology has become an effective method for geological hazard assessment due to its wide coverage, large imaging area and high time resolution. Based on introducing the research progress of flood disaster remote sensing monitoring, this paper compares and summarizes the research progress of principle and method of multi-source remote sensing flood monitoring, and analyses the advantages and disadvantages of various data. We also analyze the comprehensive application of remote sensing technology in typhoon monitoring from the perspectives of conventional observation data, satellite remote sensing data and unmanned aerial vehicle remote sensing data. In this paper, remote sensing technology is also used to monitor urban heat island and other climatic problems through machine learning, starting from solving heat wave problems in the climatic field by remote sensing. At the same time, the existing problems of various data resources in the analysis of various disasters are summarized, and the remote sensing technology which needs to make comprehensive use of multi-source data, the construction of climate monitoring system and other aspects are summarized to study the remote sensing information system in the field of natural climate disasters. The development trend of this technology is also summarized and prospected.

Application of Remote Sensing Technology in Mine Ecological Restoration

Application of Remote Sensing Technology in Mine Ecological Restoration

Application of Remote Sensing Technology in Geological Disaster Investigation and Monitoring

Application of Remote Sensing Technology in Geological Disaster Investigation and Monitoring

Study on the Method of Retrieving Surface Soil Moisture in Western Semi-arid Area by Remote Sensing

Soil moisture is a very important index parameter in the field of hydrology and meteorology, which plays a very important role in the development of agriculture. Large scale monitoring and retrieval of soil moisture is the main component of agricultural research and ecological environment assessment. The region of the soil water environment is one of the essential parameters in examining the land surface process model. Therefore, remote sensing inversion of soil moisture is a very convincing research topic, and it is also the boundary field of remote sensing technology application research, which is one of the global recognized research problems. With the development of remote sensing technology and GIS, GPS and 3S integration and other related disciplines, not only can the large-scale real-time monitoring of soil moisture dynamics be carried out, but also the accuracy of soil moisture inversion has been greatly improved. Looking back on the development of several decades, several remote sensing methods of soil moisture retrieval have appeared, and these methods have been well verified and applied in corresponding areas.

Application of Remote Sensing Technology to Monitoring of Vegetation Recovery and Regional Precipitation in Wenchuan Earthquake Area: Case Study of Longxi River Basin

Application of Remote Sensing Technology to Monitoring of Vegetation Recovery and Regional Precipitation in Wenchuan Earthquake Area: Case Study of Longxi River Basin

SUACDNet: Attentional change detection network based on siamese U-shaped structure

Remote sensing image change detection is an essential aspect of remote sensing technology application. Existing change detection algorithms based on deep learning do not distinguish between changed and unchanged areas explicitly, resulting in serious loss of edge detail information during detection. Therefore, a new attentional change detection network based on Siamese U-shaped structure (SUACDNet) is proposed in this paper. In the feature encoding stage, three branches are introduced between the Siamese structure to focus on the global information, difference information and similarity information of bitemporal images respectively. In the feature decoding stage, an U-shaped structure is constructed for upsampling and recovery layer by layer. Multi-scale Convolution Residual Module (MCRM) is a new convolution structure designed for multi-scale feature extraction in the network. In addition, this work also proposes three auxiliary modules to optimize the network, namely Spatial Attention Module (SAM), Feature Fusion Module (FFM) and Cross-scale Global Context Semantic Information Aggregation Module (CGCAM), making the network more sensitive to the changed area while filtering out the background noise. Comparative experiments on three datasets show that our method is superior to the existing methods.

Application of Remote Sensing Technology in Sediment Estimating Entering the Dam Reservoirs due to Floods

The present study aimed to use remote sensing technology to estimate the concentration of particulate materials in the water entering the reservoirs of dams and consequently investigate the possibility of estimating the amount of sediment carried to the reservoir by flood during the life of the dam and its annual estimate. Using an advanced spectrometer device (ASD), the reflectance values of water containing different amounts of particulate sediments were measured in the range of 400–2500 nm; then, these reflectance values were represented for the Landsat 8 satellite OLI bands using their spectral response functions. In the study of interband correlation with the number of particulate materials, band 2 (blue) and band 5 (near-infrared) were identified to prepare a specific and appropriate model. The specificity of the reflectance difference in the two abovementioned bands was presented as an exponential relationship between the concentration of particulate materials and spectral reflectance. In this model, the RMSE parameter for the maximum possible sediment concentration was equal to 1.57 and the parameter R2 was equal to 0.91. In the second step, at the same time as the satellite passed, the area was visited and the sediments of the Ardak dam reservoir were sampled by recording their location. To complete this research, two measures were performed simultaneously, calculating the concentration of particulate materials sampled in the laboratory environment and their location on the image. Then, the number of particulate materials is estimated by taking into account the coordinates recorded from the images on which the relevant corrections have been made. According to the extracted exponential model, the results of estimating the concentration of particulate matter obtained from the model and Landsat satellite images with the concentration of particulate matter obtained from sampling showed its complete compatibility with field surveys to validate this research.

Application of Remote Sensing Technology in Land Change Survey

Application of Remote Sensing Technology in Land Change Survey

Preface

The 2021 2nd International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2021) was be held virtually online on April 23-25, 2021 due to the precaution taken to minimizing the COVID-19 risk. The safety and well-being of all conference participants was our first and top priority, while we strived to offer many scholars and researchers this long-awaited conference to conduct academic exchanges with their peers.ICGMRS 2021 is to bring together innovative academics and industrial experts in the field of geology, mapping and remote sensing to a common conference. The primary goal of the conference is to promote research and developmental activities in geology, mapping and remote sensing and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world.The COVID-19 virus has made our life very challenging, but we want to reiterate that there are no barriers to science, as we continue to do our research works via modern technical means. The ICGMRS 2021 has selected Zoom as the virtual platform. Each presenter will be given a 15-minute talk and followed by a short discussion afterward. Before the conference, all of the authors were encouraged to submit a video as a backup in case of unexpected technical problems. There were 140 individuals who attended this on-line conference, represented many countries including China, Canada, South Korea, Singapore and UK.During the conference, we invited three professors as our keynote speakers. A. Prof. Chao Chen, from Zhejiang Ocean University, performed a speech: Spatio-temporal pattern evolution of coastlines for archipelagic regions. His research area is Marine Environment Remote Sensing. And then we had A. Prof. Heng Dong, from Wuhan University of Technology. He delivered a speech: Estimation of Global Terrestrial Gross Primary Productivity based on Solar-Induced Chlorophyll Fluorescence. In this study, after analyzing the fluorescence emission mechanism at different spatial scales, and the GPP-SIF empirical linear estimation model, some factors affecting the photosynthetic capacity of the vegetation and the canopy SIF emission were introduced to construct a new GPP estimation method. Lastly, we were glad to invite A. Prof. Xuemin Xing, from Changsha University of Science & Technology as our finale keynote speakers. She shared a speech: Measuring subsidence over soft clay highway based on a novel time-series InSAR deformation model: with emphasis on rheological properties and seasonal factors. Their insightful speeches had triggered heated discussion of the conference. Every participant praised this conference for disseminating useful and insightful knowledge.The proceedings are a compilation of the accepted papers and represent an interesting outcome of the conference. Topics include but are not limited to the following areas: Geography & Geology, Surveying & Mapping, Remote Sensing, Application of Remote Sensing Technology and other related topics. All the papers have been through rigorous review and process to meet the requirements of International publication standard.We would like to acknowledge all of those who supported ICGMRS 2021. The help and contribution of each individual and institution was instrumental in the success of the conference. In particular, we would like to thank the organizing committee for its valuable inputs in shaping the conference program and reviewing the submitted papers.The Committee of ICGMRS 2021Committee member, Conference Chair, Program Committees, Technical Program Committees and this titles are available in this pdf.

Application of Remote Sensing Technology in Ecological Engineering—A Case Study of Phase I Tao River Water Diversion Project

This paper aims to explore the implementation of the ecological restoration and water and soil loss control measures proposed in engineering design & research, environmental impact assessment report and approval document with respect to the construction and environmental management of a project case, and to put forward the remedial measures and suggestions for the existing problems. The application of remote sensing technology to the eco-environment monitoring in the pre-construction phase, construction phase and operation phase of Phase I Tao River Water Diversion Project was studied. It was obtained that all disturbed areas of this project already reached the levels before the construction by combining biological control measures and vegetation measures. The ecosystem structure, processes and functions in the project construction area did not exert any great impact. The ecological environment in the project area was fragile with poor quality, and could be easily deteriorated due to the disturbance of human activities. The changes in the area and pattern of ecosystem in the project area were influenced by this project to a very small extent. The quality of natural ecological environment before the construction was basically recovered through its ecological restoration measures, and the current ecological restoration benefit was favorable. Therefore, the remote sensing technology is capable of technically demonstrating whether a project meets the acceptance conditions for environmental protection upon completion and providing basis for the follow-up application of remote sensing technology in eco-environmental investigation.

Application of Remote Sensing Technology in Land Use Survey of Mining Area

Land Use and Cover Change (LUCC) survey is an important content to understand and study regional ecological environment change. The production and construction of coal mine will have an impact on the local ecological environment. The application of remote sensing technology to select high-resolution images, man-machine interactive interpretation method combined with field investigation verification was used to carry out LUCC in the study area. The current situation investigation can quickly and accurately grasp the land use types and distribution characteristics of the study area, and provide a reference for the rational land development and ecological environment protection in the process of coal mine production and construction in the future.

Application of Remote Sensing Technology in Engineering Geological Surveying and Surveying

Application of Remote Sensing Technology in Engineering Geological Surveying and Surveying