Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran

Farhadi, Hadi; Mokhtarzade, Mehdi; Ebadi, Hamid; Beirami, Behnam Asghari

doi:10.1007/s10661-022-10045-4

Cited by 13 publications

(13 citation statements)

References 48 publications

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“…(1) Connect to the cloud MySQL database (remote_monitor database), and perform additions, deletions, and changes to the database [5][6];…”

Section: Demand Analysismentioning

confidence: 99%

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Electric Vehicle Battery Power Estimation and Remote Monitoring Method Based on Optimization Algorithm

Wang¹,

Ye²,

Xu³

et al. 2022

J. Phys.: Conf. Ser.

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With the leap-forward development of China’s economy and society, people have put forward higher demands for travel convenience. As a daily means of transportation, automobiles have gradually approached thousands of households. Therefore, the automobile industry has also developed rapidly in recent years. The construction of digital factories for automobile manufacturing and production has rapidly promoted the progress of the new energy automobile industry. The main purpose of this paper is to study the battery power estimation and remote monitoring program of electric vehicles based on the optimization algorithm. This paper mainly selects the battery model, compares and analyzes different algorithms, and completes the database design and the construction of the relevant development environment according to the functional requirements and combined with the actual situation. Experiments show that low temperature has a great influence on the discharge capacity of the battery. The battery can release 74% of the rated capacity at -5°C, while the battery can release only 56% of the rated capacity at -20°C.

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“…(1) Connect to the cloud MySQL database (remote_monitor database), and perform additions, deletions, and changes to the database [5][6];…”

Section: Demand Analysismentioning

confidence: 99%

“…(6) Inconsistency: It is ubiquitous in the production and use of batteries, and as the charge-discharge cycle intensifies, the available capacity decreases and the battery life is greatly shortened [5].…”

Section: Fault Classificationmentioning

confidence: 99%

Electric Vehicle Battery Power Estimation and Remote Monitoring Method Based on Optimization Algorithm

Wang¹,

Ye²,

Xu³

et al. 2022

J. Phys.: Conf. Ser.

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“…Farhadi H et al used the cloud platform to quickly and automatically detect the time series image of measuring the burn area, so as to obtain the accurate information of the density and distribution of the combustion area in the large vegetation coverage area. The results show that this method has stronger dynamic real-time performance and can greatly improve the accuracy of the map of the combustion area [9]. Taking the cloud platform as the basic framework of smart education, Liu steam proposed a dual high-precision cooperation strategy to accurately perceive the needs of smart teaching and resource supply.…”

Section: Related Workmentioning

confidence: 99%

Encrypted Storage Method of Oral English Teaching Resources based on Cloud Platform

Si¹

2022

IJACSA

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With the development of the times, the secure storage of educational resources has become one of the key security problems faced by colleges and universities. On the one hand, the cost of traditional resource storage is too expensive, on the other hand, its encryption and access efficiency are low. To solve this problem, this research takes the cloud platform serves as the main carrier for the encrypted storage of school teaching resources. On this basis, the convolutional neural network is encrypted and optimized, and the argmax algorithm is improved to improve the access efficiency of encrypted data. Finally, the effectiveness and superiority of the design method are compared and analyzed through the method of performance detection. The results show that the maximum consumption time of encryption and decryption of the encrypted storage model is no more than 20000ms, which is significantly less than that of the traditional model. The running time of the argmax output encryption module is 1.76ms and the running loss is 0.26 MB, which is less than that of the traditional model. It can be seen that the encrypted storage model has stronger encryption performance and access performance, and has a better application effect in the encrypted storage of oral English teaching resources with a large amount of access data and frequent updates.

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“…Climate conditions, slopes, and vegetation areas all influence the direction, size, and power of wildfires (Thonicke et al, 2001). In order to manage an emergency, detailed products on the temporal and spatial distribution of burned areas are (BA) essential (Keane et al, 2001;Farhadi et al, 2022b). Because of complicated topography, extensive scenes, and poor weather conditions, traditional ground surveys can be costly and challenging.…”

Section: Introductionmentioning

confidence: 99%

“…Because of complicated topography, extensive scenes, and poor weather conditions, traditional ground surveys can be costly and challenging. Analysis of multitemporal and multispectral imagery can quickly locate the BA using remote sensing (RS) (Tansey et al, 2008;Lizundia-Loiola et al, 2020;Farhadi et al, 2022b).…”

Section: Introductionmentioning

confidence: 99%

Badi: A Novel Burned Area Detection Index for Sentinel-2 Imagery Using Google Earth Engine Platform

Farhadi

Ebadi

Kiani

2023

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Forest fires are natural events that occur in numerous ecosystems worldwide and cause significant damage to human, ecological and socio-economic factors. It is also crucial to obtain useful information on the distribution and density of burned areas on large scale. An efficient way to map large regions is through remote sensing (RS). Nevertheless, the complex scenario and similar spectral signature of features in multispectral bands can lead to many false positives, making it difficult to extract the burned areas accurately. Multispectral data from Sentinel-2 satellite images allow the development of novel burned area indices, as more spectral data is recorded in the Red-Edge region. This research aims to develop a new burned area detection index (BADI) at 20 m spatial resolution in the google earth engine platform to detect the wildfire-affected areas in southwest of Iran using Sentinel-2 satellite imagery. The BADI spectral index has been specially designed to take benefit of the Sentinel-2 spectral bands and use a spectral combination of bands that are reasonable for post-fire burned regions detection. The final results indicated that the proposed index by applying a post-processing stage works well in the case of the study area to identify the burned areas. At the same time, it can satisfactorily suppress the complicated and irrelevant changes in the scene. Furthermore, the BADI index is rapid and can provide the burned areas map in near real-time. According to the Copernicus Emergency Management Service (EMS) reference data, maps of the burned areas were produced with a kappa coefficient of 0.92 and an overall accuracy of 92.15%, which demonstrated a good result in comparison to similar spectral indices.

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Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran

Cited by 13 publications

References 48 publications

Electric Vehicle Battery Power Estimation and Remote Monitoring Method Based on Optimization Algorithm

Electric Vehicle Battery Power Estimation and Remote Monitoring Method Based on Optimization Algorithm

Encrypted Storage Method of Oral English Teaching Resources based on Cloud Platform

Badi: A Novel Burned Area Detection Index for Sentinel-2 Imagery Using Google Earth Engine Platform

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