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). …”
Get full text

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. …”
Get full text

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). …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Trends and Variability of PM2.5 at Different Time Scales over Delhi: Long-term Analysis 2007–2021 by Chetna, Surendra K. Dhaka, Gagandeep Longiany, Vivek Panwar, Vinay Kumar, Shristy Malik, A. S. Rao, Narendra Singh, A. P. Dimri, Yutaka Matsumi, Tomoki Nakayama, Sachiko Hayashida

“…Minimum of the monthly averaged PM2.5 concentration was observed in August, while maximum is November. Satellite data of fire events showed that the crop residue burning over the Punjab region had a significant contribution to the peak PM2.5 levels in Delhi during the crop burning period. …”
Get full text

The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins by H. M. M. Hasan, P. Döll, P. Döll, S.-M. Hosseini-Moghari, F. Papa, A. Güntner, A. Güntner

“…The selected model parameters, determined through a multi-variable, multi-signature sensitivity analysis, were estimated using up to four types of observations: in situ streamflow (<span class="inline-formula"><i>Q</i></span>), GRACE and GRACE Follow-On terrestrial water storage anomaly (TWSA), LandFlux evapotranspiration (ET), and surface water storage anomaly (SWSA) derived from multi-satellite observations. While our sensitivity analysis ensured that the model parameters that are most influential for the four variables were identified in a transparent and comprehensive way, the rather large number of calibration parameters, 10 for the Ganges and 16 for the Brahmaputra, had a negative impact on parameter identifiability during the calibration process. …”
Get full text

Temporal analyses of global suitability distribution for fall armyworm based on Multiple factors by Minghao Wang, Wenjiang Huang, Yingying Dong, Yanru Huang, Bing Zhang, Gang Sun, Maged Elkahky, Changping Huang

Get full text

Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan by Tanweer Abbas, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Irfan Ali, Hafiz Umar Farid, Muhammad Usman Ali

“…Landsat 7, Landsat 8, and Sentinel-2 satellite imagery within the Google Earth Engine (GEE) cloud platform was utilized to create 2003, 2013, and 2023 LULC maps via supervised classification with a random forest (RF) classifier, which is a subset of artificial intelligence (AI). …”
Get full text

Epidemiology of community-acquired pneumonia among hospitalised children in Indonesia: a multicentre, prospective study by Rina Triasih, Yan Mardian, Dewi Lokida, Helmia Farida, Herman Kosasih, Adhella Menur Naysilla, Arif Budiman, Chakrawati Hayuningsih, Moh Syarofil Anam, Dwi Wastoro, Mujahidah Mujahidah, Setya Dipayana, Amalia Setyati, Abu Tholib Aman, Nurhayati Lukman, Muhammad Karyana, Ahnika Kline, Aaron Neal, Chuen-Yen Lau, Clifford Lane

“…Objective To identify aetiologies of childhood community-acquired pneumonia (CAP) based on a comprehensive diagnostic approach.Design ‘Partnerships for Enhanced Engagement in Research-Pneumonia in Paediatrics (PEER-PePPeS)’ study was an observational prospective cohort study conducted from July 2017 to September 2019.Setting Government referral teaching hospitals and satellite sites in three cities in Indonesia: Semarang, Yogyakarta and Tangerang.Participants Hospitalised children aged 2–59 months who met the criteria for pneumonia were eligible. …”
Get full text

Associations of maternal PM2.5 exposure with preterm birth and miscarriage in women undergoing in vitro fertilization: a retrospective cohort study by Miaoxin Chen, Qiaoyu Chen, Gengze Liao, Chunyan Sun, Cong Liu, Xia Meng, Wentao Li, Andong Qiu, Orhan Bukulmez, Haidong Kan, Feng Wang, Lap Ah Tse, Xiaoming Teng

“…The objective of this study was to investigate the potential associations between ambient PM2.5 exposure during different periods and negative pregnancy outcomes, such as miscarriage and preterm birth, in patients who underwent assisted reproductive technology (ART).MethodsThis retrospective cohort study examined the outcomes of 2,839 infertile women aged ≤ 45 years who underwent their first fresh or frozen-thawed embryo transfer at the Shanghai First Maternity and Infant Hospital between April 2016 and December 2019. Satellite data were used to determine the daily average levels of PM2.5, and exposure was categorized as excessive if it exceeded the WHO’s interim target 2 level of 50 µg/m3. …”
Get full text

Association between joint exposure to ambient air pollutants and carotid plaque: The mediating role of cardiometabolic risk factors by Yunfei Li, Ze Han, Xiaoyu Zhao, Yueruijing Liu, Zhiyuan Wu, Jinqi Wang, Xia Li, Xiuhua Guo, Lixin Tao

“…All participants underwent carotid ultrasound and were free of carotid plaque at baseline. A satellite-based land-use regression (LUR) model was applied to estimate air pollution exposure. …”
Get full text

Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses by Masashi Hayakawa, Shinji Hirooka, Koichiro Michimoto, Stelios M. Potirakis, Yasuhide Hobara

“…The two physical quantities of temperature (T)/relative humidity (Hum) and atmospheric chemical potential (ACP) have been investigated with the use of the Japanese meteorological “open” data of AMeDAS (Automated Meteorological Data Acquisition System), which is a very dense “ground-based” network of meteorological stations with higher temporal and spatial resolutions than the satellite remote sensing open data. In order to obtain a clearer identification of any seismogenic effect, we have used the AMeDAS station data at local midnight (LT = 01 h) and our initial target EQ was chosen to be the famous 1995 Kobe EQ of 17 January 1995 (M = 7.3). …”
Get full text

Going, going, gone: Landscape drying reduces wetland function across the American West by J. Patrick Donnelly, Johnnie N. Moore, John S. Kimball, Kelsey Jencso, Mark Petrie, David E. Naugle

“…To improve our understanding of rapid ecosystem change, we reconstructed monthly wetland surface water hydrology in the western U.S. from 1984 to 2023 using cloud computing and ∼ 150,000 satellite images to measure shifts in the timing and duration of inundations. …”
Get full text

Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images by Zhaojiang Yan, Chong Fang, Kaishan Song, Xiangyu Wang, Zhidan Wen, Yingxin Shang, Hui Tao, Yunfeng Lyu

“…Therefore, this study proposes a machine learning method based on OLCI/Sentinel-3 satellite imagery to retrieve algal biomass abundance. …”
Get full text

Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms by Dilinuer Tuoliewubieke, Weiyi Mao, Junqiang Yao, Xu Zhang, Shujuan Li, Ping Chen, Liyun Ma, Jing Chen

Get full text

Supporting rotational grazing systems with virtual fencing: paddock transitions, beef heifer performance, and stress response by N.A. Grinnell, D. Hamidi, M. Komainda, F. Riesch, J. Horn, I. Traulsen, R. Palme, J. Isselstein

“…VF uses Global Navigation Satellite System technology, wireless communication, and stimuli (auditory and electrical) to manage livestock movements and contain animals without physical barriers. …”
Get full text

Remote Sensing of Sun-Induced Fluorescence in a Deep Lake: Disentangling Quenching Mechanisms Improves Relationship With Chlorophyll-a Concentration Estimates by Remika S. Gupana, Daniel Odermatt, Abolfazl Irani Rahaghi, Camille Minaudo, Mortimer Werther, Claudia Giardino, Alexander Damm

“…We conclude that enhanced atmospheric correction in the red-to-near-infrared region for oligo-mesotrophic lakes is needed to demonstrate the upscaling of our in-situ-based results. This will enhance satellite-based SIF yield retrievals and, subsequently, obtain SIF-related phytoplankton physiology products.…”
Get full text