scholarly journals A New Method for Correcting Urbanization-Induced Bias in Surface Air Temperature Observations: Insights From Comparative Site-Relocation Data

2021 ◽  
Vol 9 ◽  
Author(s):  
Tao Shi ◽  
Yong Huang ◽  
Dabing Sun ◽  
Gaopeng Lu ◽  
Yuanjian Yang
Keyword(s):  
Remote Sensing ◽  
Environmental Factors ◽  
Air Temperature ◽  
Environmental Changes ◽  
Surface Air Temperature ◽  
Correction Method ◽  
Statistical Characteristics ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
The Impact

The effect of urbanization on surface air temperature (SAT) is one of the most important systematic biases in SAT series of urban stations. Correcting this so-called urbanization bias has the potential to provide accurate basic data for long-term climate change monitoring and research. In the western region of the Yangtze River Delta, 42 meteorological stations with site-relocation history from 2009 to 2018 were selected to analyze the statistical characteristics of the differences in comparative site-relocation daily average SAT. The annual average differences in comparative site-relocation SAT series between the old and the new stations (SATDON) were used to characterize the impact of urbanization bias on the air temperature observation series. Using remote sensing technology, spatial datasets of land-use, landscape, and geometric parameters of the underlying surface in the 5-km buffer zone around the station were established as the observed environmental factors of the site, and the differences in these observed environmental factors (DOEFs) between the old and the new stations were calculated to indicate the change induced by urbanization. Next, multiple linear regression models of SATDON and DOEFs were constructed, showing that the error range of the model for simulated SATDON was 3.66–18.21%, and the average error was 10.09%. Finally, this new correction method (NCM) and conventional correction method (CCM) were applied to the correction of the urbanization bias of SAT series at Hefei station. After comparison, it is found that the NCM could reveal clear contributions of the rapid and slow stages of the urbanization process and resultant environmental changes around the stations to the observed SAT. In summary, the NCM based on remote sensing technology can more reasonably and effectively correct the urbanization bias caused by local human activities, as well as reduce the error caused by the selection of reference stations via the conventional correction method.

scholarly journals Remote Sensing: An Advanced Technique for Crop Condition Assessment

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Karim Ennouri ◽  
Abdelaziz Kallel
Keyword(s):  
Remote Sensing ◽  
High Tech ◽  
Advanced Technique ◽  
Remote Sensing Technology ◽  
Biological Phenomena ◽  
Sensing Technology ◽  
Smart Farming ◽  
Smart Agriculture ◽  
Crop Condition ◽  
The Impact

Actually, cultivators are increasingly arranging innovative high technical and scientific estimations in the aim to enhance agricultural sustainability, effectiveness, and/or plant health. Innovative farming technologies incorporate biology with smart agriculture: computers and devices exchange with one another autonomously in a structured farm management system. Throughout this structure, smart agriculture can be accomplished; cultivators decrease plantation inputs (pesticides and fertilizers) and increase yields via integrated pest management and/or biological control. The emerging concept of remote sensing may provide a framework to systematically consider these issues of smart farming technology and to embed high-tech agriculture better. The impact(s) may be beneficial depending on how tools, such as data mining, and imagery technologies, such as picture treatment and analysis, are applied. Remote sensing technology is discussed in this review and demonstrates its possibility to create novel opportunities for scientists (and agronomists) to explore aspects of biological phenomena that cannot be accessed through usual mechanisms or processes.

scholarly journals Application of UAV Remote Sensing Mapping in Map Drawing

CONVERTER ◽  
2021 ◽  
pp. 86-93
Author(s):  
Xu Chen, Kuan He, Yuntong Liu
Keyword(s):  
Remote Sensing ◽  
Real Time ◽  
Low Cost ◽  
Correction Method ◽  
Field Application ◽  
Image Resolution ◽  
Technical Problems ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Surveying And Mapping

UAV aerial remote sensing system has the characteristics of strong real-time, flexible, high image resolution and low cost, which can be applied to map mapping tasks under various terrain. In this paper, the key technology of UAV Remote Sensing Surveying and mapping, the process of image processing, the research of mosaic method and the field application of remote sensing technology are studied. Aiming at the characteristics of UAV image with high resolution and small image frame, three methods of image map making are proposed, namely, single image geometric correction method, mosaic correction method and aerial triangulation method. This paper focuses on the key technical problems of the three methods, and makes a comprehensive analysis and experimental verification of each method from the aspects of mapping effect, accuracy and efficiency. The experimental results show that the UAV remote sensing technology can meet the real-time basic surveying and mapping data requirements of urban mapping. This method can meet the needs of 1:500 high-precision mapping. The system can reduce the cost and improve the usability when it is used to update the basic data of Urban Surveying and mapping.

Hyperspectral Remote Sensing Technology (HRST) program

1997 ◽  
Author(s):  
Tom Wilson ◽  
Rebecca Baugh ◽  
Ron Contillo ◽  
Tom Wilson ◽  
Rebecca Baugh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology

Application of remote sensing technology to the relation of submarine pipelines and coastal morphology

1995 ◽  
Vol 32 (2) ◽  
pp. 77-83
Author(s):  
Y. Yüksel ◽  
D. Maktav ◽  
S. Kapdasli
Keyword(s):  
Remote Sensing ◽  
Sediment Transport ◽  
Surf Zone ◽  
Hydrodynamic Forces ◽  
Construction Site ◽  
Coastal Morphology ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Sea Bed

Submarine pipelines must be designed to resist wave and current induced hydrodynamic forces especially in and near the surf zone. They are buried as protection against forces in the surf zone, however this procedure is not always feasible particularly on a movable sea bed. For this reason the characteristics of the sediment transport on the construction site of beaches should be investigated. In this investigation, the application of the remote sensing method is introduced in order to determine and observe the coastal morphology, so that submarine pipelines may be protected against undesirable seabed movement.

scholarly journals Seasonally changing contribution of sea ice and snow cover to uncertainty in multi-decadal Eurasian surface air temperature trends based on CESM simulations

2021 ◽  
Author(s):  
Zhaomin Ding ◽  
Renguang Wu
Keyword(s):  
Sea Ice ◽  
Air Temperature ◽  
Western Siberia ◽  
Russian Far East ◽  
Far East ◽  
Surface Air Temperature ◽  
The Caspian Sea ◽  
Sea Ice Concentration ◽  
Northern Siberia ◽  
The Impact

AbstractThis study investigates the impact of sea ice and snow changes on surface air temperature (SAT) trends on the multidecadal time scale over the mid- and high-latitudes of Eurasia during boreal autumn, winter and spring based on a 30-member ensemble simulations of the Community Earth System Model (CESM). A dynamical adjustment method is used to remove the internal component of circulation-induced SAT trends. The leading mode of dynamically adjusted SAT trends is featured by same-sign anomalies extending from northern Europe to central Siberia and to the Russian Far East, respectively, during boreal spring and autumn, and confined to western Siberia during winter. The internally generated component of sea ice concentration trends over the Barents-Kara Seas contributes to the differences in the thermodynamic component of internal SAT trends across the ensemble over adjacent northern Siberia during all the three seasons. The sea ice effect is largest in autumn and smallest in winter. Eurasian snow changes contribute to the spread in dynamically adjusted SAT trends as well around the periphery of snow covered region by modulating surface heat flux changes. The snow effect is identified over northeast Europe-western Siberia in autumn, north of the Caspian Sea in winter, and over eastern Europe-northern Siberia in spring. The effects of sea ice and snow on the SAT trends are realized mainly by modulating upward shortwave and longwave radiation fluxes.

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