Satellite Remote Sensing Technology Research Articles

Preface

The 2023 3rd International Conference on Mechatronics Technology and Aerospace Engineering (ICMTAE 2023) took place in Nanchang, China from September 15th to 17th, 2023, with the attendance of about 120 people. The main goal was to bring together scientists, researchers and developers engaged in mechatronics technology and aerospace engineering to bridge the gap between research needs and advanced technological solutions.ICMTAE 2023 focused on research areas such as Aerospace Structures, Aircraft Flight Dynamics, Precision Plastic Forming and Equipment Technology, Spacecraft Thermal Control Technology, Satellite Remote Sensing Technology, etc. The Conference provided an opportunity for researchers and related personnel to present their recent theoretical developments as well as practical applications, discuss unsolved problems, and find solutions to them. And it fostered research and development in mechatronics technology and aerospace engineering.The Program of the Conference was divided into three parts. First day of the Conference was devoted to registration for all the participants. The second day was mainly focused on keynote speeches, oral and poster presentations, as well as free discussion, etc. Academic investigation took place during the third day of the Conference.We would like to highlight the main developments presented at the Conference and introduce the prominent speakers. The keynote speakers of the Conference are Prof. David Doermann (University at Buffalo, US), Prof. Shaojiang Dong (Chongqing Jiaotong University, China), Prof. Baochang Zhang (Beihang University, China), Assoc. Prof. Liping Tang (Southwest Petroleum University, China), Prof. Shaojian Zhang (Nanchang University, China), Prof. Alam Md Mahbub (Harbin Institute of Technology (Shenzhen), China), respectively. They shared remarkable academic achievements in fields related to mechatronics technology and aerospace engineering, and discussed critical challenges and research directions within these domains, triggering heated discussion during the Conference and even in the break.In the final foreword, we would like to thank the members of Technical Program Committee and those of Organizing Committee for giving such a great opportunity for all of us to share scientific ideas and new developments at the Conference. Last but not the least, our special acknowledgement also goes to the editors and staff of Journal of physics: Conference Series, for their kindness and assistance in publishing this Conference Proceedings.The Committee of ICMTAE 2023List of Committee Member are available in this pdf.

Can Grassroots Governments’ Environmental Attention Effectively Improve Air Pollution? Empirical Evidence from Satellite Remote Sensing Technology

Air pollution poses a global challenge, prompting governments worldwide to implement environmental policies aimed at its mitigation. However, grassroots management is key to the effectiveness of pollution management. Traditional air monitoring, ranging from a specific point to broader areas, has inherent limitations. In contrast, satellite remote sensing technology offers extensive spatial and temporal coverage, enabling real-time monitoring of data transmission. Can the amalgamation of grassroots governance and satellite remote sensing technology significantly enhance air pollution control? This article leverages satellite remote sensing data and county-level economic and social data from China spanning the period 2008 to 2019 to empirically explore the impact and mechanism of government environmental constraints on air pollution in grassroots areas. The following results were found: (1) Grassroots government environmental constraints exert a significant inhibitory effect on air pollution, and this conclusion remains valid after a series of robustness tests. (2) Mechanism tests reveal that grassroots government environmental constraints reduce county-level air pollution by fostering urbanization, enhancing industrial structures, and promoting innovation in green technologies. (3) There exists heterogeneity in the inhibitory effect of grassroots environmental constraints on air pollution, with a more pronounced impact in areas focusing on environmental protection, facing no economic constraints, large-scale, and located in central and western regions. The green governance awareness of a higher-level government shows an interaction effect on the reduction in environmental constraints at the grassroots government level, collectively contributing to the decrease in regional air pollution. The conclusion of this article underscores the vital role of satellite remote sensing technology in pollution control and provides insights into the direction of environmental regulation.

Assessments of Drought Effects on Plant Production Using Satellite Remote Sensing Technology, GIS and Observed Climate Data in Northwest Morocco, Case of the Lower Sebou Basin

Assessments of Drought Effects on Plant Production Using Satellite Remote Sensing Technology, GIS and Observed Climate Data in Northwest Morocco, Case of the Lower Sebou Basin

Analysis on the Application of Satellite Remote Sensing Technology in Land Resources Investigation

Analysis on the Application of Satellite Remote Sensing Technology in Land Resources Investigation

A Comprehensive Monitoring and Assessment System for Multiple Fisheries Resources in the Northwest Pacific Based on Satellite Remote Sensing Technology

Monitoring the dynamics of ocean-going fishing vessels is essential for fisheries stock assessment and management. In this paper, coupled fishery and remote sensing methods were applied to propose a satellite-based fishery resource monitoring and assessment system (SFRMAS) that supported chub mackerel (Scomber japonicus), Pacific saury (Cololabis saira) and neon flying squid (Ommastrephes bartramii) fishing activities in the northwest Pacific. A multispecies fishing vessel database was generated in the SFRMAS using visible infrared imaging radiometer suite day/night band (VIIRS/DNB) images, automatic identification system (AIS) data and multimarine remote sensing resources. The results showed that the VIIRS/DNB vessel detection (VVD) and AIS vessel detection approaches improved the extraction accuracy of multispecies fishing vessels. A high productivity area with a higher chlorophyll a concentration had the most concentrated distribution of mackerel vessels. The widest longitudinal migrations of the neon flying squid and the latitudinal ranges of Pacific saury were highly related to sea surface temperature (SST), which was well captured by the movement of the fishing vessels. In the SFRMAS, the accuracy of detected multispecies fishing days and fishing catches was mostly between 60 and 90%, which can provide data support for fisheries stock assessment and management.

Communicating respiratory health risk among children using a global air quality index.

Air pollution poses a serious threat to children's respiratory health around the world. Satellite remote-sensing technology and air quality models can provide pollution data on a global scale, necessary for risk communication efforts in regions without ground-based monitoring networks. Several large centers, including NASA, produce global pollution forecasts that may be used alongside air quality indices to communicate local, daily risk information to the public. Here we present a health-based, globally applicable air quality index developed specifically to reflect the respiratory health risks among children exposed to elevated outdoor air pollution. Additive, excess-risk air quality indices were developed using 51 different coefficients derived from time-series health studies evaluating the impacts of ambient fine particulate matter, nitrogen dioxide, and ozone on children's respiratory morbidity outcomes. A total of four indices were created which varied based on whether or not the underlying studies controlled for co-pollutants and in the adjustment of excess risks of individual pollutants. Combined with historical estimates of air pollution provided globally at a 25×25km2 spatial resolution from the NASA's Goddard Earth Observing System composition forecast (GEOS-CF) model, each of these indices were examined in a global sample of 664 small and 140 large cities for study year 2017. Adjusted indices presented the most normal distributions of locally-scaled index values, which has been shown to improve associations with health risks, while indices based on coefficients controlling for co-pollutants had little effect on index performance. We provide the steps and resources need to apply our final adjusted index at the local level using freely-available forecasting data from the GEOS-CF model, which can provide risk communication information for cities around the world to better inform individual behavior modification to best protect children's respiratory health.

Southwestern Atlantic Ocean Fronts Detected from Satellite-Derived SST and Chlorophyll

The Southern Ocean front (SOF) is an important factor that affects the heat exchange and material transport of the Southern Ocean. In the past two decades, with the advancements in satellite remote-sensing technology, the study of the spatio-temporal variability of the Southern Ocean front has become a new hot topic. Nevertheless, the southwestern Atlantic, as an important part of the Southern Ocean, is poorly studied in this regard. Based on the 16-year (2004–2019) high-resolution satellite observations of sea surface temperature (SST) and 13-year (2007–2019) observations of chlorophyll (CHL), this study detected and analyzed the position and seasonal variation of the SOF in the southwestern Atlantic using a gradient-based frontal detection method. According to the experimental results, the thermal front (derived from the SST data) disappeared in winter due to the spatially uniform surface cooling, whereas the ocean color front (derived from the CHL data) existed without remarkable spatio-temporal changes. Furthermore, the exact position and seasonal variation of the SOF in the southwestern Atlantic are determined by comparing the paths of the two fronts. Since the formation of the Kuroshio front in the East China Sea (ECS) is similar to the SOF in the southwestern Atlantic, the seasonal distributions of the two fronts were compared. Apart from that, the Kuroshio thermal fronts were mostly distributed in winter and less in summer, while the Southern Ocean thermal fronts showed the opposite. These results indicated that the ocean current properties significantly influence the spatio-temporal variability of the front.

Application of Satellite Remote Sensing Technology on Electrified Railway Network Greening Engineering

As the awareness of development of ecological civilization continues to strengthened, public expectations for landscape greening along the railway have gradually increased. The railway landscape greening has multiple functions of safety, environmental protection and aesthetics. Therefore, it is necessary to effectively combine the characteristics of the local area’s natural ecology, custom and culture. To reflect the corresponding key points in the landscape greening design process, and apply the scientific greening concept to the engineering design.

Advances of Satellite Remote Sensing Technology in Earthquake Prediction

Earthquakes are one of the most serious types of natural disaster in the world. Intensive research and operative efforts have been focused on earthquake prediction, but the accuracy of early warning systems is limited. Scientific research indicates that there are a series of observable earthquake-related anomalies prior to seismic activities. In earthquake prediction, remote sensing technologies have been applied widely to monitor crustal deformation and surface temperature rise, as well as hydrologic, electromagnetic, and gravitational fields prior to earthquake occurrence. This paper reviewed the current literature of earthquake prediction studies all over the world. Characteristics of various earthquake precursors were analyzed, the satellite-assisted monitoring mechanisms were studied, and the research advances in remote sensing in earthquake prediction were reviewed. The current bottleneck problems in earthquake prediction were discussed from the aspects of the complexity and the unobservability of the hypocenter, the diversity of earthquake precursor signals, and the uncertainty of existing remote sensing monitoring data. Finally, potential solutions to address these bottleneck problems were proposed, including establishing a unified framework, building scientific prediction models, simulation with virtual technology, and systematically integrating multisource data. These approaches need to be further studied and will be significant for more-accurate earthquake prediction.

High-performance Overlay Analysis of Massive Geographic Polygons That Considers Shape Complexity in a Cloud Environment

: Overlay analysis is a common task in geographic computing that is widely used in geographic information systems, computer graphics, and computer science. With the breakthroughs in Earth observation technologies, particularly the emergence of high-resolution satellite remote-sensing technology, geographic data have demonstrated explosive growth. The overlay analysis of massive and complex geographic data has become a computationally intensive task. Distributed parallel processing in a cloud environment provides an efficient solution to this problem. The cloud computing paradigm represented by Spark has become the standard for massive data processing in the industry and academia due to its large-scale and low-latency characteristics. The cloud computing paradigm has attracted further attention for the purpose of solving the overlay analysis of massive data. These studies mainly focus on how to implement parallel overlay analysis in a cloud computing paradigm but pay less attention to the impact of spatial data graphics complexity on parallel computing efficiency, especially the data skew caused by the difference in the graphic complexity. Geographic polygons often have complex graphical structures, such as many vertices, composite structures including holes and islands. When the Spark paradigm is used to solve the overlay analysis of massive geographic polygons, its calculation efficiency is closely related to factors such as data organization and algorithm design. Considering the influence of the shape complexity of polygons on the performance of overlay analysis, we design and implement a parallel processing algorithm based on the Spark paradigm in this paper. Based on the analysis of the shape complexity of polygons, the overlay analysis speed is improved via reasonable data partition, distributed spatial index, a minimum boundary rectangular filter and other optimization processes, and the high speed and parallel efficiency are maintained.

Application of Satellite Remote Sensing Technology to Monitor Rice Planting Area in Fujian Province

This study will focus on the specific physiological characteristics of rice at different stages of growth and development, the environmental background features and the spectral features it exhibits at each waveband, and compare the differences between its spectral characteristics and other features, selecting multiple periods. The satellite data, using a certain extraction method, separate early rice, middle rice and late rice to achieve early rice, mid-season and late rice planting area information extraction, and then compare the extraction results with on-site sampling survey results to comprehensively evaluate the use of MODIS multi-phase satellites. Comprehensive evaluation of matching effects is be done using MODIS multi-temporal satellite data to extract rice planting area information and spatial location.

Analysis of Marine Oil Spill Pollution Monitoring Based on Satellite Remote Sensing Technology

In recent years, the number of marine oil spill accidents has been increasing, which is very harmful. It is urgent to develop an efficient monitoring technology for marine oil spills. This paper summarizes the types of satellite remote sensing that can detect marine oil spills. The advantages and disadvantages of marine oil spill monitoring based on medium resolution MODIS data, spaceborne infrared data, hyperspectral data, multi-source multi-temporal multispectral data, and satellite radar data, and offshore oil spill monitoring systems based on remote sensing data and their research progress are described. The shortage of marine oil spill monitoring is also analyzed. Finally, the prospect is put forward in order to provide technical reference for related research.

Research on the Application of Satellite Remote Sensing Technology in Water Environment Dynamic Monitoring—A Case Study of Jinjiang City

This paper selects lake and river areas in Jinjiang City as the study objects. Eutrophication and dynamic change of water bodies are monitored via field fixed-point monitoring, according to different temporal and spatial monitoring data of a decade, using multi-temporal remote sensing image data processing technology and computer simulation method based on comprehensive nutrition index method. The monitoring results have shown that since 2006, Jinjiang water body has been at a mild eutrophication level, and with the passage of time, the overall situation had risen first and decreased afterwards from January to December. The establishment of corresponding water environment ecological monitoring protection and early warning mechanism is put forward to improve the ability of water quality monitoring according to the results of the dynamic monitoring.

Primary Studies on the Offshore Oil Spill Detection System Using the Satellite Remote Sensing Technology Developed by China National Offshore Oil Corporation

Oil spill detection has important significance for the oceanic environmental protection. With the rapid development of the satellite remote sensing, remote sensing technique has become one of the important and effective tools in oil spill detection. This paper discussed the method of the offshore surface oil spill detection using Synthetic Aperture Radar (SAR). The oil spill detection systems used at home and abroad is evaluated. Finally, the feasibility of the oil spill detection system based on the satellite remote sensing developed by China National Offshore Oil Corporation is studied.

Evaluation of MODIS surrogates for meteorological humidity data in east Africa

Satellite remote-sensing technology has shown promising results in characterizing the environment in which plants and animals thrive. Scientists, biologists, and epidemiologists are adopting remotely sensed imagery to compensate for the paucity of weather information measured by weather stations. With measured humidity from three stations as baselines, our study reveals that normalized difference vegetation index (NDVI) and atmospheric saturation deficit at the 780 hPa pressure level (DMODIS), both of which were derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, were significantly correlated with station saturation deficits (Dstn) (|r| = 0.42–0.63, p < 0.001). These metrics have the potential to estimate saturation deficits over east Africa. Four to nine days of lags were found in the NDVI responding to Dstn. For the daily estimation of Dstn, DMODIS yielded better performance than the NDVI. However, both of them poorly explained variation in daily Dstn using simple regression models (adj. R2 = 0.17–0.39). When the estimation temporal scale was changed to 16 days, performance was similar, and both were better than daily estimations. For Dstn estimation at coarser geographic scales, given that many factors such as soil, vegetation, slope, aspect, and wind speed might complicate NDVI response lags and model construction, DMODIS is preferable as a proxy to saturation deficit over ground due to its simple relationship with Dstn.

Application of High Resolution Satellite Remote Sensing Technology in Identification and Analysis of the Uranium Mineralization Bleached Alteration

High resolution satellite remote sensing technology is an important new technology and method in the field of geological exploration,with which many application results have been made.However,the typical applications to identifying and analyzing the mineralization alteration information are very insufficient.In this paper,the typical application of high resolution satellite remote sensing technology in identification and analysis of the uranium mineralization bleached alteration was illustrated from the angle of uranium exploration,including the identification of bleached alteration information and the analysis of its spatial distribution in the Bashibulake uranium ore district on the northern margin of Tarim Basin in Xinjiang,the discovery of grayish white bleached alteration and the analysis of its spatial distribution in the eastern part of Keping up-lift on the northern margin of Tarim Basin in Xinjiang.These two typical applications show that high resolution satellite remote sensing technology can achieve good application effects in identifying mineralization alteration information,and the further excavation of its application potential is very valuable in the future.

3-1. 宇宙からのリモートセンシング

3-1. 宇宙からのリモートセンシング

Analysis of Satellite Remote Sensing Technology in the Evaluation of Agricultural Non-point Source Pollution

Non-point source pollution is an important source of water pollution,thus constituting one of the decisive factors affecting water environment.The commonly used agricultural non-point source pollution evaluation methods include statistical models and physical models of the computer.No matter what kind of modeling the researchers adopt,a variety of data acquisition types and the evaluation of the accuracy of the verification results make up the main bottleneck.In order to make people aware of the importance of satellite remote sensing technology in agricultural non-point source pollution evaluation,this paper made an application analysis of the access capability and feasibility of the satellite remote sensing technology from the angle of data types required by the study of the non-point source pollution,and also forecast the application potential of the satellite remote sensing technology in the precision verification of the agricultural non-point source pollution evaluation results.

Application of Satellite Remote Sensing Technology to Wetland Research

Wetland specifies with both ecologic and scientific values.Because of most wetlands located too far to be monitored,satellite imagery characters with quantity information,multi-temporal,multi-platform, comparability will largely favor wetland research,so remotely sensed data have been widely proved an effective tool in wetland investigation in the past decades.The application of satellite RS technology on wetland research in China is reviewed from the aspects of the survey of wetland resource inventory,the model of wetland identification and classification,research of wetland dynamic change,wetland vegetation biomass estimation and lately development trends as well as its principal characters of satellite RS research of wetland.Particularly,the paper introduces some progress of RS application on urban wetland in China.The detection study on dynamic change of wetland as natural resources by RS methods is also presented in a wide scope from inland plain wetland,delta or riverine wetland to plateau wetland.Both academic Achievements and prospect comments are also presented in the paper by reviewing both home and abroad researches.The application trends of remote sensing in wetland research will be the following three aspects: much more multi-temporal and multi-spatial RS platforms will be provided for future research,the scale of research on wetland will be smaller due to the continuous loss of wetland as well as its fragmentation, and integration of RS,GIS,GPS and wetland will be much more emphasized.

The Overview of the Satellite Remote Sensing Technology of METI (Ministry of Economy, Trade and Industry)

The Overview of the Satellite Remote Sensing Technology of METI (Ministry of Economy, Trade and Industry)