Titlebook: Artificial Intelligence and Machine Learning in Satellite Data Processing and Services; Proceedings of the I Sumit Kumar,Raj Setia,Kuldeep

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Mapping Orchards and Crops Using Sentinel-2 Imagery,hards (like guava, orange, malta and ber) and is cultivated in 13.2% area during 2021. Overall accuracy for classification was 94.1% with the kappa coefficient of 0.87. These results showed that Sentinel-2 can be used for mapping of orchards and monitoring crop diversification.

LAPSE

A Review on Satellite Image Processing for Landslides Detection,ve landslide prone areas. Focus of this study is to review recent satellite image databases, satellite data analysis and satellite image processing challenges and applications, which gives a baseline for future research on satellite image processing to detect landslides and save human life.

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Impact of Green Cover on Urban Heat Island: A Comparative Assessment of Two Major Cities of North-Whigher in outskirts of the city with less vegetated and unplanned areas than planned core areas of city. In Ludhiana, LST was higher in the south-east direction of the city. The normalized difference vegetation index (NDVI) values were higher in Chandigarh city than Ludhiana city, but NDBI values we

Communal

Image Denoising for Satellite Imagery Using Amalgamated ROAD-TGM and PCA Algorithm,ance of proposed algorithm. PSNR and SSIM parameters are used to evaluate the performance of proposed algorithm with existing stage of the art algorithms. The proposed method outperforms the existing methods satellite image denoising.

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A Unified Approach Towards Effective Forest Fire Monitoring Systems Using Wireless Sensor Networks ed. The data related to forest fire and burnt area can be gathered accurately using satellite imagery. This paper presents a survey on various satellites using which data is retrieved. The analysis conducted highlights the most preferred satellite opted by researchers for forest-related data sets. T

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Ledger

Use of Satellite Data in Assessing Feasibility of Terrain Factors for Landslide Susceptibility,anthropogenic activities. The landslide susceptibility map of the study region was also generated using weight overlay method, and three landslide classes were classified, which are low, moderate, and high zone. From the landslide susceptibility map, it is observed that 10.82% of the area is found i

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UNT

Sentinel-2 Satellite Image Enhancement and Compression Based on DWT and Vector Quantization,l. It is a radar image obtained by active sensors that can acquire all weather information regardless of the time of day or weather conditions, unlike typical optical sensors. The noise in the satellite image differs from that found in general photos captured with traditional optical sensors. Many s

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