Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learning by Xiaoyun Huang, Shengxi Chen, Tianling Fu, Chengwu Fan, Hongxing Chen, Song Zhang, Hui Chen, Song Qin, Zhenran Gao

“…This study presents an accurate, reliable, and generalized method to estimate LCd, providing valuable insights for assessing the large-scale heavy metal pollution status of rice using unmanned aerial vehicle remote sensing technology.…”
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PreciPalm: An Intelligent System for Calculating Macronutrient Status and Fertilizer Recommendations for Oil Palm on Mineral Soils Based on a Precision Agriculture Approach by Kudang Boro Seminar, Harry Imantho, null Sudradjat, Sudirman Yahya, Sirojul Munir, Indra Kaliana, Fajar Mei Haryadi, Awalia Noor Baroroh, null Supriyanto, Gani Cahyo Handoyo, Arif Kurnia Wijayanto, Cecep Ijang Wahyudin, null Liyantono, Rhavif Budiman, Achmad Bakir Pasaman, Dwi Rusiawan, null Sulastri

“…This research aims to determine macronutrients, specifically nitrogen (N), phosphorus (P), and potassium (K) contents in oil palm leaves based on PA principles using the integration of remote sensing technology and machine learning to quickly obtain the macronutrient status from oil palm plantation areas. …”
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Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, China by Ku Gao, Xiaomei Yang, Zhihua Wang, Yueming Liu, Huifang Zhang, Xiaoliang Liu, Qingyang Zhang

“…In monitoring of urban expansion, impervious surface data obtained via remote sensing can capture spatial details better compared to statistical data. …”
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Spatiotemporal variability of groundwater chemistry, source identification and health risks in the southern Chinese Loess Plateau by Zijun Li, Qingchun Yang, Chuan Xie, Hongyun Ma, Bin Wu, Yanli Wang

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Water scarcity in semi-arid California compromises perennial alfalfa’s high yield and carbon sinking potentials by Tianxin Wang, Kanishka Mallick, Joseph Verfaille, Daphne Szutu, Dennis Baldocchi

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Development potential of multi-cropping systems and its influence on agricultural water consumption in the Huang–Huai–Hai River Basin of China by Linghui Li, Qingming Wang, Yong Zhao, Jiaqi Zhai, Haihong Li, Shuying Han, Lichuan Wang, Yunpeng Gui

“…This study analyzed the spatial-temporal changes of the actual and potential CS based on the remote sensing and meteorological dataset from 2001 to 2022 to explore the development potentiality of multi-cropping systems (MCS), and adapted the CS change into the Decision Support System for Agrotechnology Transfer model (DSSAT) to simulate the change of evapotranspiration. …”
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Land surface temperature changes caused by land cover/land use properties and their impact on rainfall characteristics by A. Suharyanto, A. Maulana, D. Suprayogo, Y.P. Devia, S. Kurniawan

“…The increase in land surface temperature will increase the rainfall intensity. Satellite remote sensing imagery is effective and efficient for analyzing vegetation index, built-up index, and land surface temperature.…”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…The Internet of Things enables the remote sensing, identification, and control of physical things via the utilisation of existing network infrastructure. …”
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The use of Specim IQ, a hyperspectral camera, for plant analysis by V. V. Alt, T. A. Gurova, O. V. Elkin, D. N. Klimenko, L. V. Maximov, I. A. Pestunov, O. A. Dubrovskaya, M. A. Genaev, T. V. Erst, K. A. Genaev, E. G. Komyshev, V. K. Khlestkin, D. А. Afonnikov

“…Remote sensing using hyperspectral cameras is an important technology for non-destructive monitoring of plant pigment composition, which is closely related to their physiological state or infection with pathogens. …”
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Resolving the generation mechanisms and electrodynamical effects of Medium Scale Traveling Ionospheric Disturbances (MSTIDs) by Jeff Klenzing, Kate Zawdie, Elvira Astafyeva, Anna Belehaki, Meghan Burleigh, Angeline G. Burrell, Cosme A. O. B. Figueiredo, Nathaniel A. Frissell, Weizheng Fu, Dustin Hickey, Joe Huba, Pavel Inchin, Stephen R. Kaeppler, Viswanathan Lakshmi Narayanan, Mani Sivankandan, Jonathon M. Smith, Jonathon M. Smith, Chao Xiong, Tatsuhiro Yokoyama, Matt Zettergren, Shun-Rong Zhang

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The Interannual Variability of Global Burned Area Is Mostly Explained by Climatic Drivers by Andrina Gincheva, Juli G. Pausas, Miguel Ángel Torres‐Vázquez, Joaquín Bedia, Sergio M. Vicente‐Serrano, John T. Abatzoglou, Josep A. Sánchez‐Espigares, Emilio Chuvieco, Sonia Jerez, Antonello Provenzale, Ricardo M. Trigo, Marco Turco

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Assessment of Peacock Spot Disease (<i>Fusicladium oleagineum</i>) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral Imaging by Hajar Hamzaoui, Ilyass Maafa, Hasnae Choukri, Ahmed El Bakkali, Salma El Iraqui El Houssaini, Rachid Razouk, Aziz Aziz, Said Louahlia, Khaoula Habbadi

“…This combined approach highlights the potential of remote sensing for early disease detection and supports precision agriculture practices by facilitating targeted interventions and optimized orchard management. …”
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A combined model of shoot phosphorus uptake based on sparse data and active learning algorithm by Tianli Wang, Yi Zhang, Haiyan Liu, Fei Li, Dayong Guo, Ning Cao, Yubin Zhang

“…The practice has shown that with a small number of representative samples, this method can fully utilize remote sensing technology to predict SPU, providing an evaluation tool for the sustainable use of agricultural P. …”
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Compensatory effects conceal large uncertainties in the modelled processes behind the relationship between the El Niño–Southern Oscillation (ENSO) and CO₂ by I. Dunkl, I. Dunkl, A. Bastos, T. Ilyina, T. Ilyina, T. Ilyina

“…The increasing availability of carbon flux data from atmospheric inversions and remote sensing products makes this a tangible goal that could lead to a better representation of the processes driving interannual variability in the global carbon cycle.…”
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A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3... by Zhicheng Zhang, Zhenhua Xiong, Xuewen Zhou, Kun Xiao, Wei Wu, Qinchuan Xin

“…Long-term archives of remote sensing data hold values for identifying temporal changes occurring on the land surface. …”
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Optimized Gross Primary Productivity Over the Croplands Within the BEPS Particle Filtering Data Assimilation System (BEPS_PF v1.0) by Xiuli Xing, Mousong Wu, Huajie Zhu, Wenzhuo Duan, Weimin Ju, Xiaorong Wang, Youhua Ran, Yongguang Zhang, Fei Jiang

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Pre-Season Precipitation and Temperature Have a Larger Influence on Vegetation Productivity than That of the Growing Season in the Agro-Pastoral Ecotone in Northern China by Yuanyuan Zhang, Qingtao Wang, Xueyuan Zhang, Zecheng Guo, Xiaonan Guo, Changhui Ma, Baocheng Wei, Lei He

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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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Learning from wildfires: A scalable framework to evaluate treatment effects on burn severity by Caden P. Chamberlain, Garrett W. Meigs, Derek J. Churchill, Jonathan T. Kane, Astrid Sanna, James S. Begley, Susan J. Prichard, Maureen C. Kennedy, Craig Bienz, Ryan D. Haugo, Annie C. Smith, Van R. Kane, C. Alina Cansler

“…In this study, we present a repeatable, remote sensing–based, analytical framework for conducting fire‐scale assessments of treatment effectiveness that informs local management while also supporting cross‐fire comparisons. …”
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Evaluating the Sustainability of Wheat–Maize System with a Long-Term Fertilization Experiment by Yun Shao, Jiahui An, Xueping Wang, Shouchen Ma, Ye Meng, Yang Gao, Shoutian Ma

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