Multispectral and hyperspectral images based land use/land cover change prediction analysis: an extensive review

MS Navin, L Agilandeeswari - Multimedia Tools and Applications, 2020 - Springer
Research in the field of remote sensing attracts attention among researchers all over the
world. From different remote sensing applications, the problem on Land Use/Land Cover …

PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

PJG Nieto, FS Lasheras, E García-Gonzalo… - Science of the Total …, 2018 - Elsevier
Atmospheric particulate matter (PM) is one of the pollutants that may have a significant
impact on human health. Data collected over seven years in a city of the north of Spain is …

Time Series Analysis and Forecasting of Air Pollution Particulate Matter (PM2.5): An SARIMA and Factor Analysis Approach

UA Bhatti, Y Yan, M Zhou, S Ali, A Hussain… - Ieee …, 2021 - ieeexplore.ieee.org
Current development of Pakistan's economy, transportation and industry with the
improvement of urbanization, environmental pollution problems have gradually become …

Flood risk analysis of reservoirs based on full-series ARIMA model under climate change

B Yan, R Mu, J Guo, Y Liu, J Tang, H Wang - Journal of Hydrology, 2022 - Elsevier
To assess the flood risks of reservoirs in a changing environment, this study considers the
uncertainty of future floods and argues that the future flood projected by Global Climate …

ARIMA analysis of the effect of land surface coverage on PM10 concentrations in a high-altitude megacity

C Zafra, Y Ángel, E Torres - Atmospheric Pollution Research, 2017 - Elsevier
This paper uses ARIMA models for daily temporal analysis of the effect of land surface
coverage (LSC) on PM 10 concentrations in a high-altitude megacity. Bogota, the capital of …

Box–Jenkins multiplicative ARIMA modeling for prediction of solar radiation: a case study

A Shadab, S Said, S Ahmad - International Journal of Energy and Water …, 2019 - Springer
This study deals with stochastic modeling of solar radiation in all sky conditions and
presents an effort to predict and analyze the future trends of monthly insolation based on …

Forecasting air quality of delhi using arima model

Gourav, JK Rekhi, P Nagrath, R Jain - Advances in Data Sciences …, 2020 - Springer
Air quality is a major issue that has been affecting the human health, flora, fauna and
ecosystems since long. Vehicular pollution, burning of plastics, demolition and construction …

Surface runoff prediction regarding LULC and climate dynamics using coupled LTM, optimized ARIMA, and GIS-based SCS-CN models in tropical region

HM Rizeei, B Pradhan, MA Saharkhiz - Arabian Journal of Geosciences, 2018 - Springer
The effects of climate and land use/land cover (LULC) dynamics have directly affected the
surface runoff and flooding events. Hence, current study proposes a full-packaged model to …

Satellite AOD conversion into ground PM10, PM2. 5 and PM1 over the Po valley (Milan, Italy) exploiting information on aerosol vertical profiles, chemistry …

L Ferrero, A Riccio, BS Ferrini, L D'Angelo… - Atmospheric Pollution …, 2019 - Elsevier
Satellite data are fundamental for air quality monitoring. Despite this, several algorithms are
present in literature leaving to the reader a choice on the best approach without considering …

Aerosol Optical Depth over the Andhra Pradesh State in South India from Reanalysis Data: Spatiotemporal Variabilities and Machine Learning Approach

P Althaf, KR Kumar, HBS Kannemadugu - Earth Systems and Environment, 2024 - Springer
The present work extensively demonstrates spatiotemporal climatological changes and
trends, and a forecast modeling approach by utilizing the Machine Learning tools observed …