Random time changed Lévy Processes are getting increased attention of late as they can account for a variety of features in data. In this article we discuss \(\alpha\)-Laplace Lévy Process and a generalization of it. Both are random time changed \(\alpha\)-stable Lévy Processes....
Open access
Research Article10.9734/ajpas/2022/v19i330469
In this article we obtain the first passage time distribution of α-stable Levy processes. We derive the moment estimators of the parameters of α-inverse Gaussian laws and also their asymptotic distribution.
Open access
Research Article10.9734/ajpas/2022/v19i230465
This study proposes an effective method to map rice area using the Sentinel-1A SAR (Synthetic Aperture Radar) time series data over the Thiruvarur district during samba 2021. Fully automated MAPscape-Rice software was used to pre-process the SAR data and extraction of multi-tempo...
Open access
Research Article10.9734/ijecc/2022/v12i1030924
Drought remains a critical hazard in semi-arid agro-climatic zones, with substantial effects on agricultural productivity and regional water resources. This study characterises rainfall variability and evaluates meteorological drought dynamics in Tirupur district, Tamil Nadu, Ind...
Open access
Research Article10.9734/ijecc/2026/v16i85586
Accurate spatial yield estimation is crucial for optimizing agricultural management and ensuring food security. This study integrates Sentinel-1A SAR remote sensing data and the DSSAT crop simulation model to predict Bengal gram (chickpea) yield in Nagaur district, Rajasthan, Ind...
Open access
Research Article10.9734/jsrr/2025/v31i12788
Farmers and agricultural workers would manually inspect crops for signs of pests or use traps to monitor pest populations. The advent of deep learning algorithms such as vision transformers and FastAI ResNet has brought about a significant transformation in pest detection practic...
Open access
Research Article10.9734/jsrr/2025/v31i12797
Aim: To assess the spatial distribution of floods in 2024 using remote sensing data, specifically Synthetic Aperture Radar (SAR), a powerful tool in flood monitoring and mapping due to its ability to capture data under all weather conditions, including rain and cloud cover provid...
Open access
Research Article10.9734/ijecc/2024/v14i124662
A research study was carried out for mapping flood affected areas from Sentinel 1A satellite data in the major blocks of Mayiladuthurai district, Tamil Nadu. A very high-resolution Sentinel 1A satellite data was acquired and processed with GIS tools. Ground truth gathered during...
Open access
Research Article10.9734/ijpss/2023/v35i193589
Sentinel-1A Synthetic Aperture Radar (SAR) satellite is highly beneficial for continuously monitoring the evaluating changes in agricultural areas and water spread area assessment. Having reliable information about water availability is crucial for effective regional planning. By...
Open access
Research Article10.9734/ijecc/2025/v15i24735