Unveiling the effects of post-monsoon agricultural biomass burning on aerosols, clouds, and radiation in Northwest India by Pradeep Khatri, Tadahiro Hayasaka, Prabir K. Patra, Husi Letu, Hiren Jethva, Sachiko Hayashida

“…In this study, we aim to address this research gap by analyzing fire, meteorological parameters, aerosol, cloud, and radiation data spanning nearly two decades (2002–2021), obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua satellite, Modern-Era Retrospective Analysis Research and Applications, Version 2 (MERRA-2), and the Fifth Generation of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5). …”
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Embedded physical constraints in machine learning to enhance vegetation phenology prediction by Mengying Cao, Qihao Weng

“…By incorporating meteorological variables into a machine learning model and by using the Moderate-Resolution Imaging Spectroradiometer (MODIS) dataset to identify the vegetation phenology of four vegetation types in North America, this study delved into the relationship between vegetation phenology and climate factors as well as its impacts on ecosystems. …”
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Estimation and Evaluation of the FY-3D/MERSI-II Fractional Snow Cover in China by Jinyu Huang, Lingmei Jiang, Fangbo Pan, Bo Zhong, Shengli Wu, Huizhen Cui

“…Moreover, the comparison between MERSI-II and moderate-resolution imaging spectroradiometer FSC indicated that MERSI-II has a marked advantage in areas with substantial snow cover.…”
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Monsoonal influence on particulate organic carbon variability through satellite data analysis by C.K. Tito, D.G. Bengen, T. Prartono, A. Damar, A.J. Wahyudi

“…This study aims to examine the spatial and temporal distribution of particulate organic carbon and to model its variance within Jakarta Bay, contributing to a deeper understanding of organic carbon dynamics in coastal ecosystems.METHODS: Monthly moderate-resolution imaging spectroradiometer satellite data for surface particulate organic carbon and chlorophyll-a during 2011 to 2023 periods were collected. …”
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Impact of COVID-19 on the Air Quality over China and India Using Long-term (2009–2020) Multi-satellite Data by Manish Soni, Sunita Verma, Hiren Jethava, Swagata Payra, Lok Lamsal, Priyanshu Gupta, Janhavi Singh

“…., nitrogen dioxide (NO2), sulphur dioxide (SO2), Aerosol Index (AI) and aerosol optical depth (AOD) data are retrieved from the Ozone Monitoring Instrument (OMI), TROPOspheric Monitoring Instrument (TROPOMI), and MODerate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra and Aqua satellites, respectively. …”
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Spatiotemporal Variations and Driving Factor Analysis of Aerosol Optical Depth in Terrestrial Ecosystems in Northern Xinjiang from 2001 to 2023 by Zequn Xiang, Hongqi Wu, Yanmin Fan, Yu Dang, Yanan Bi, Jiahao Zhao, Wenyue Song, Tianyuan Feng, Xu Zhang

“…This study utilized 1 km resolution AOD data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Mann–Kendall (M-K) trend test to analyze the spatiotemporal variations in AOD in seven ecosystems in Northern Xinjiang from 2001 to 2023. …”
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The Performance of Irrigation Schemes in Sudan Affected by Climate Variability and the Grand Ethiopian Renaissance Dam by Shamseddin M. Ahmed, Khalid G. Biro Turk, Hassan Ali Dinar

“…This study used datasets derived from the Moderate Resolution Imaging Spectroradiometer (MODIS), specifically the enhanced vegetation index (EVI) and crop water use efficiency (CWUE), alongside climate time-series data obtained from the Climate Research Unit, to evaluate the performance of irrigation schemes in Sudan affected by climate variability and the construction and filling of the GERD. …”
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A systematic review of remote sensing technologies and techniques for agricultural insect pest monitoring: lessons for locustana pardalina (Brown Locust) control in South Africa by Kuselwa Mpisane, Mahlatse Kganyago, Cilence Munghemezulu, Cilence Munghemezulu, Roger Price, Lwandile Nduku

“…Furthermore, findings revealed that MODerate resolution Imaging Spectroradiometer (MODIS), Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI) and The Thermal Infrared Sensor (TIRS) are mainly used sensors to detect and monitor the impact of insect pests on vegetation. …”
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Anthropogenic and natural influence on vegetation ecosystems from 1982 to 2023 by Teligeer Bao, Huaqiang Li, Yonghong Hao, Matthew Tom Harrison, Ke Liu, Gulnazar Ali

“…Here, we used 12 machine learning algorithms to perform pixel correction on 42 years of moderate resolution imaging spectroradiometer normalized difference vegetation index (NDVI) and GIMMS NDVI data. …”
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Object-Based Downscaling Method for Land Surface Temperature with High-Spatial-Resolution Multispectral Data by Siyao Wu, Shengmao Zhang, Fei Wang

“…However, many studies require high-spatial- and high-temporal-resolution LST products to improve the coarse spatial resolution of moderate-resolution imaging spectroradiometer (MODIS) LSTs. Numerous approaches have downscaled MODIS LST images to a finer spatial resolution using pixel-based image analysis (PBA). …”
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Drought Change Trend Using MODIS TVDI and Its Relationship with Climate Factors in China from 2001 to 2010 by Liang LIANG, Shu-he ZHAO, Zhi-hao QIN, Ke-xun HE, Chong CHEN, Yun-xiao LUO, Xing-dong ZHOU

“…The temperature vegetation drought index (TVDI) datasets recorded during 2001 to 2010 in China were constructed by using the moderate-resolution imaging spectroradiometer (MODIS) data, and the temporal and spatial variations in drought were analyzed. …”
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Towards a robust hydrologic data assimilation system for hurricane-induced river flow forecasting by P. Abbaszadeh, F. Gholizadeh, K. Gavahi, H. Moradkhani

“…The Sacramento Soil Moisture Accounting (SAC-SMA) hydrologic model is driven by two variables: precipitation and potential evapotranspiration (PET), collected from North American Land Data Assimilation System phase 2 (NLDAS-2) and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data, respectively. …”
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Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean by Vladimir Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler

“…Chlorophyll-a fields from NOAA’s operational Visible Imaging Infrared Radiometer Suite (VIIRS) are used, as well as Moderate Resolution Imaging Spectroradiometer (MODIS) and Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) chl-a concentrations. …”
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A Two-Step Framework for Generating 0.01°, Hourly, and Gapless Land Surface Temperature by Jun Ma, Jingping Guo, Jingan Wu, Huanfeng Shen

“…In this work, a two-step framework is proposed to generate hourly gapless LST, which is made up of two steps: first, a machine learning model is used to reconstruct moderate-resolution imaging spectroradiometer (MODIS) daily (four times from Terra and Aqua) LST; and second, the generated daily gapless LST is then fused with hourly community land model (CLM) simulated LST based on the spatial and temporal nonlocal fusion model. …”
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A study on forest fire risk assessment in jiangxi province based on machine learning and geostatistics by Jinping Lu, Mangen Li, Yaozu Qin, Niannan Chen, Lili Wang, Wanzhen Yang, Yuke Song, Yisu Zheng

“…Using Moderate Resolution Imaging Spectroradiometer L3 fire-point data from 2001–2020, we analyzed the spatiotemporal distribution of forest fires and applied the weight of evidence (WoE) method to evaluate the correlation between forest fires and environmental factors. …”
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Vegetation Photosynthesis Model v3.0: Improved Estimates of Terrestrial Gross Primary Production from Individual Eddy Flux Tower Sites to the Globe by Li Pan, Xiangming Xiao, Baihong Pan, Cheng Meng, Russell Doughty, Yuanwei Qin, Chenchen Zhang, Yuan Yao, Chenglong Yin, Shenglai Yin

“…The global VPM simulation is driven by Moderate Resolution Imaging Spectroradiometer images and the ERA5-Land climate dataset. …”
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Analyzing satellite and airborne Ka-band passive microwave observations over land for temperature and vegetation monitoring by Richard de Jeu, Yoann Malbeteau, Ruxandra-Maria Zotta, Wouter Dorigo, Xiaoling Wu, Jeffrey Walker, Diego G. Miralles

“…These data were compared against LST from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat 8, as well as vegetation indices such as the Normalized Difference Vegetation Index (NDVI). …”
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The interaction between temperature and rainfall determines the probability of tropical forest fire occurrence in Hainan Island by Xiaohua Chen, Xiaohua Chen, Qingqing Yang, Qingqing Yang, Zongzhu Chen, Jinrui Lei, Tingtian Wu, Yuanling Li, Xiaoyan Pan

“…This study integrated ground-based fire statistics from the Hainan Forestry Department and moderate resolution imaging spectroradiometer (MODIS) fire point data to create a highly accurate forest fire dataset for Hainan Island, spanning 20 years (2000–2020). …”
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Dust detection in western and southwestern Iran based on DAI index algorithm and Modis spectral data by Azar Faryabi, Hamid Reza Matinfar, Seyyed Kazem Alavi Panah, Ali Akbar Norouzi

“…Introduction: A dust aerosol index (DAI) algorithm based on measurements in deep blue (412 nm), blue (440 nm), and shortwave IR (2130 nm) wavelengths using Moderate Resolution Imaging Spectroradiometer (MODIS) observations has been developed. …”
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Tendencia de la cobertura vegetacional afectada por incendios en el Parque Nacional Torres del Paine by C. Rivera, C. Mattar, C. Durán-Alarcón

“…El objetivo de este trabajo es analizar las tendencias espacio temporales de la vegetación en el PNTP mediante el uso de imágenes remo­tas de la plataforma Landsat, del sensor “Moderate Resolution Imaging Spectroradiometer” (MODIS), correspondientes al producto MOD13A3, los mapas de cobertura de superficie Global Land Cover Maps del ESA/CCI del año 2005 y 2010 y el mapa de cobertura de suelo de Chile continental del 2014. …”
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