The Impact of Lockdown on Air Quality in Pakistan during the COVID-19 Pandemic Inferred from the Multi-sensor Remote Sensed Data by Rehana Khan, Kanike Raghavendra Kumar, Tianliang Zhao

“…We focused on assessing the significant changes of pollutant concentrations during March–May for the years 2019 and 2020 utilizing the satellite datasets observed from the Moderate Resolution Imaging Spectroradiometer (MODIS), Ozone Monitoring Instrument (OMI), Atmospheric Infrared Sounder (AIRS), and Modern-Era Retrospective analysis for Research and Applications (MERRA-2) reanalysis data. …”
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High-resolution mapping of evapotranspiration over heterogeneous cropland affected by soil salinity by Meihan Liu, Huimin Lei, Xingwang Wang, Paula Paredes

“…Using a spatiotemporal image fusion algorithm implemented on the Google Earth Engine (GEE) platform, daily NDVI and LST datasets with a 30 m resolution were generated by fusing Landsat 8 and MODIS satellite data. Subsequently, the high-resolution datasets were fed into the revised Priestley Taylor Jet Propulsion Laboratory (PT-JPL) model, which incorporates salinity effects, to generate the final ET estimates. …”
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The added value and potential of long-term radio occultation data for climatological wind field monitoring by I. Nimac, J. Danzer, G. Kirchengast, G. Kirchengast

“…One promising option for progress is the use of radio occultation (RO) satellite data, which enable deriving dynamics based on thermodynamic data. …”
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Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model by Zhengdao Yuan, Xu Lin, Yashi Xu, Jie Zhao, Nage Du, Xiaolong Cai, Mengkui Li

“…Zenith tropospheric delay (ZTD) is a significant atmospheric error that impacts the Global Navigation Satellite System (GNSS). Developing a high-precision, long-term forecasting model for ZTD can provide valuable insights into the overall trends of predicted ZTD, which is essential for improving GNSS positioning and analyzing changes in regional climate and water vapor. …”
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An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost by Xia Liu, Yu Hu, Xiang Li, Ruiqi Du, Youzhen Xiang, Fucang Zhang

“…The soil salinity was estimated with the multi-source remote sensing satellite data by combining the extreme gradient boosting model (XGBoost), Optuna hyper-parameter optimization, and Shapley addition (SHAP) interpretable model. …”
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Evidence of vancomycin-resistant Staphylococcus aureus, multidrug-resistant S. aureus, and Enterococcus faecium-causing mastitis in Thailand and Cambodia by Sambo Na, Montira Intanon, Anyaphat Srithanasuwan, Wasana Chaisri, Witaya Suriyasathaporn

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Greenness and averted mortality in 390 cities in China (2000–2020)Research in context by John S. Ji, Zheng Tao, Hui Miao, Tom Cole-Hunter, Xuecao Li, David Rojas-Rueda, Wenjia Cai

“…Methods: In China, we mapped the urban human population distribution aged 20 and above with a 1 km grid (30 arc-second) and used satellite-based remote sensing to measure green space over time to create population-weighted normalized difference vegetation index (NDVI). …”
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Quantification of Soil–Water Erosion Using the RUSLE Method in the Mékrou Watershed (Middle Niger River) by Rachid Abdourahamane Attoubounou, Hamidou Diawara, Ralf Ludwig, Julien Adounkpe

“…Land use and land cover data were extracted from satellite imagery, enabling the analysis of vegetation cover and anthropogenic impacts over four decades. …”
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SDUST2023BCO: a global seafloor model determined from a multi-layer perceptron neural network using multi-source differential marine geodetic data by S. Zhou, S. Zhou, J. Guo, H. Zhang, Y. Jia, H. Sun, X. Liu, D. An

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Potential and actual evapotranspiration and Landsat derived indices by P. Kumar, D. Deka, A. Yadav, Ashwani ., M. Kumar, J.P. Das, A. Singh, A. Gurjar

“…The study aims to examine the correlation between actual evapotranspiration and potential evapotranspiration by assessing the linkages with vegetation and snow cover in an ecologically fragile located in the northwestern Himalaya.MATERIALS AND METHODS: The present study uses remote sensing Landsat satellite data series to map vegetation cover and snow cover in the area. …”
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A comparative framework to develop transferable species distribution models for animal telemetry data by Joshua A. Cullen, Camila Domit, Margaret M. Lamont, Christopher D. Marshall, Armando J. B. Santos, Christopher R. Sasso, Mehsin Al Ansi, Mariana M. P. B. Fuentes

“…Here, we propose a comparative framework to develop transferable SDMs, which was tested using satellite telemetry data from green turtles (CheloniaChelonia mydas). …”
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Modeling the tropical fish community related to land uses and environmental determinants by N. Takarina, O. Chuan, M. Afifudin, L. Tristan, I. Arif, A. Adiwibowo

“…Land uses at the sites were interpreted using satellite imagery. Fish diversity was determined using the Shannon–Wiener index, rarefaction curve, and Lorenz graph. …”
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Association between exposure to ambient air pollutants and metabolic syndrome in the vicinity of the Taklamakan Desert by Zhe Wang, Weidong Ji, Yushan Wang, Lin Li, Kai Wang, Hongze Liu, Yining Yang, Yi Zhou

“…Spatio-temporal data from satellite observations were employed to estimate ambient pollution levels, encompassing particulate matter with diameters of up to 1.0 µm (PM1), 2.5 µm (PM2.5), and 10 µm (PM10), along with Ozone (O3) and Carbon monoxide (CO). …”
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Modeling Scattering Power of Soil Particle Based on K-M Theory by Yiting Fan, Mingchang Wang, Liheng Liang, Ziwei Liu, Xue Ji, Zhiguo Meng, Yilin Bao

“…The empirical formula also can find supported by Mie theory and S-shape <italic>R</italic>(<italic>D</italic>) function, and has a high transferability from the laboratory to Landsat8 satellite board, the accuracy can reach to about 90&#x0025; on SWIR band, showed good generalization ability.…”
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Multi-dimensional scaling for space-time transformation to achieve sustainable planning and management of water resource under changing land use pattern by Mohd Sayeed Ul Hasan, Abhishek Kumar Rai, Abul Hasan Momin, Mohammad Amir Khan, Faisal M. Alfaisal, Shamshad Alam, Osamah J. Al-sareji, Ali Majdi

“…The multi-temporal spatial database includes land use (ESA-CCI), satellite-based gravity anomaly (GRACE/GRACE-FO), and well log (CGWB) adopted in this study for assessment of the impact of land use transition on groundwater depth, groundwater drought, and terrestrial water storage. …”
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Assimilating ESA CCI land surface temperature into the ORCHIDEE land surface model: insights from a multi-site study across Europe by L.-E. Olivera-Guerra, C. Ottlé, N. Raoult, P. Peylin

“…Recent advancements in high-quality satellite-derived LST data and land data assimilation systems present a unique opportunity to bridge the gap between global observational data and land surface models (LSMs) to better constrain the water and energy budgets in a changing climate. …”
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Research on the impact of land use and land cover changes on local meteorological conditions and surface ozone in the north China plain from 2001 to 2020 by Chunsheng Fang, Xinlong Li, Juan Li, Jiaqi Tian, Ju Wang

“…This study utilizes the 2020 land use and land cover data obtained from the MODIS satellite to replace the default 2001 data in the Weather Research and Forecasting-Community Multiscale Air Quality (WRF-CMAQ) model. …”
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Exploring the upper ocean characteristics of a bay using coastal and regional ocean community model by D. Jaishree, P.T. Ravichandran

“…The simulations were validated against the existing satellite, reanalysis, and in situ data.CONCLUSIONS: The innovativeness of this study lies in its successful demonstration of the seasonal variability of temperature and salinity in the Bay of Bengal. …”
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Use of supervised and unsupervised approaches to make zonal application maps for variable-rate application of crop growth regulators in commercial cotton fields by Maria C. da S. Andrea, Cristiano F. de Oliveira, Fabrícia C. M. Mota, Rafael C. dos Santos, Edilson F. Rodrigues Junior, Lucas M. Bianchi, Rodrigo S. de Oliveira, Caio M. de Gouveia, Victor G. S. Barbosa, Marco A. Bispo E Silva

“…During 2022–2023 agricultural seasons, an UF was employed to generate zonal maps based on locally collected field data on plant height of cotton, satellite imagery, soil texture, and phenology data. …”
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Spatiotemporal analysis of oil palm land clearing by M.K. Rosyidy, E. Frimawaty

“…This study utilizes the change of oil Palm in spatial-temporal (spatial and temporal) in Jambi province related to land change and environmental impacts.METHODS: This research uses data from Landsat 8 satellite imagery. The land cover classification was done using the Maximum Likelihood approach, while the overlay method was used for land change analysis. …”
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