Fine-scale forest classification with multi-temporal sentinel-1/2 imagery using a temporal convolutional neural network by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang, Juan Gu

“…However, spectral similarity between different vegetation types and the issue of mixed pixels in medium-resolution satellite imagery remain significant challenges for fine-scale forest classification. …”
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Mapping hierarchical wetland characteristics by optical-SAR integration with collaborative spatial-spectral-temporal learning by Linwei Yue, Meiyue Wang, Chengpeng Huang, Qing Cheng, Qiangqiang Yuan, Huanfeng Shen

“…The learning-based integration of optical and synthetic aperture radar (SAR) satellite imagery is known to be effective in promoting the accuracy of wetland land-cover classification. …”
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HARNESSING ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AGRICULTURE: A COMPREHENSIVE REVIEW OF AFRICAN APPLICATIONS IN SPATIAL ANALYSIS AND PRECISION AGRICULTURE by Obasi S.N, Tenebe V. A, Obasi C.C, Jokthan G.E, Adjei E.A, Keyagha E.R

“…The project explores adapting precision farming to enhance crop yields, soil health, and mitigate climate change concerns using AI technologies such as sensor-based monitoring and satellite imaging analysis. Examining the socio-economic effects of AI adoption in agriculture in the African context, light is cast on how this technology may promote both economic growth and sustainable development. …”
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The Analysis of Spatiotemporal Changes in Vegetation Coverage and Driving Factors in the Historically Affected Manganese Mining Areas of Yongzhou City, Hunan Province by Jinbin Liu, Zexin He, Huading Shi, Yun Zhao, Junke Wang, Anfu Liu, Li Li, Ruifeng Zhu

“…This paper takes the manganese mining area in Yongzhou City, Hunan Province as a case study and selects multiple periods of Landsat satellite images from 2000 to 2023. By calculating the Normalized Difference Vegetation Index (NDVI) and the Fractional Vegetation Coverage (FVC), the spatiotemporal changes and driving factors of vegetation coverage in the Yongzhou manganese mining area from 2000 to 2023 were analyzed. …”
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Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing by Wei Li, Muhammad Awais, Weimin Ru, Weidong Shi, Muhammad Ajmal, Saad Uddin, Chenchen Liu

“…This review paper highlights the development of an automated irrigation system with portable wireless sensor networks and decision support methods to remotely measure the environmental parameters in an agriculture field. Radio satellite, mobile phones, sensors, internet-based communication, and microcontroller capture the ecological parameters such as soil moisture, temperature, humidity, and light intensity. …”
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SpaceCAM: A 16 nm FinFET Low-Power Soft-Error Tolerant TCAM Design for Space Communication Applications by Itay Merlin, Benjamin Zambrano, Marco Lanuzza, Alexander Fish, Avner Haran, Leonid Yavits

“…The Ternary Content Addressable Memory (TCAM) is a crucial component of satellite communication systems. Space-oriented TCAMs face unique challenges, as they must operate within a very limited energy budget and are susceptible to high Soft Error Rates (SER) due to ionizing particle radiation. …”
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Análise da dinâmica temporal da cobertura vegetal na microrregião de Umarizal (2000 a 2022), semiárido do Rio Grande do Norte, Brasil by Islânia dos Santos Nunes, Alfredo Marcelo Grigio, Marco Antônio Diodato

“…The methodological procedures used were satellite images from the Landsat series, specifically Landsat 5, Landsat 8, and Landsat 9, for both the dry and rainy periods of the years 2000, 2007, 2014, 2017, and 2022. …”
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Estimation of water storage changes in a tropical lake-floodplain system through remote sensing by Thijs de Klein, Victor Bense, Syed Mustafa

“…A collection of optical remote sensing and Synthetic Aperture Radar (SAR) scenes is used in combination with supervised classification algorithms and topographical data to derive lake volumes for the period 1984–2023, which are analyzed for trends and correlation with satellite-derived climate data. New hydrological insights for the region: Although lake volumes show strong interannual variability, no significant historical trend is identified. …”
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Measurement report: A comparative analysis of an intensive incursion of fluorescing African dust particles over Puerto Rico and another over Spain by B. Sarangi, D. Baumgardner, A. I. Calvo, B. Bolaños-Rosero, R. Fraile, A. Rodríguez-Fernández, D. Fernández-González, C. Blanco-Alegre, C. Gonçalves, E. D. Vicente, O. L. Mayol-Bracero, O. L. Mayol-Bracero

“…The León event occurred in the late winter and spring of 2022, when widespread, elevated layers of dust inundated the Iberian Peninsula. Satellite and back-trajectory analyses confirm that dust from northern Africa was the source of the particles during both events. …”
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Ultralight aircraft and conventional digital cameras as an alternative for urban mapping by Román Edén Parra-Galaviz, Manuel de Jesús Pérez-Valdez, Omar Llanes-Cárdenas, Lennin Enrique Amador-Castro, Rafael Macías-Segura, Ciro de la Concepción Díaz-Hernández, Alberto Gaxiola

“…Unmanned Aerial Vehicles (UAVs) are employed extensively for this purpose, owing to their ease of operation and advanced georeferencing capabilities facilitated by integrated cameras coupled with Global Navigation Satellite System (GNSS) devices. However, some drawbacks have been identified, such as limited battery life, strict airspace regulations, and difficulties in mapping extensive territories due to the need for numerous takeoffs. …”
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Generating high-precision farmland irrigation pattern maps using remotely sensed ecological indices and machine learning algorithms by Yuqi Liu, Yang Wang, Yanling Liao, Renkuan Liao, Jirka Šimůnek

“…The traditional approach of employing satellite remote sensing for large-scale visual assessments is impractical for identifying irrigation patterns due to interference caused by vegetation cover. …”
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Wind Speed-Independent Two-Source Energy Balance Model Based on a Theoretical Trapezoidal Relationship between Land Surface Temperature and Fractional Vegetation Cover for Evapotra... by Xiao-Gang Wang, Qing Kang, Xiao-Hong Chen, Wen Wang, Qing-Hua Fu

“…An accurate estimation of terrestrial evapotranspiration over heterogeneous surfaces using satellite imagery and few meteorological observations remains a challenging task. …”
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Drastic Improvements in Air Quality in Ecuador during the COVID-19 Outbreak by Rasa Zalakeviciute, Renne Vasquez, Daniel Bayas, Adrian Buenano, Danilo Mejia, Rafael Zegarra, Valeria Diaz, Brian Lamb

“…The spatial evolution of atmospheric pollution using observed surface and satellite data, showed different results for the two major cities: Quito and Guayaquil. …”
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Land use and land cover classification for change detection studies using convolutional neural network by V. Pushpalatha, P.B. Mallikarjuna, H.N. Mahendra, S. Rama Subramoniam, S. Mallikarjunaswamy

“…Traditional methods for LULC classification involve manual interpretation of satellite images, which provides lower accuracy. Therefore, this paper proposed the Convolutional Neural Network (CNN)-based deep learning method for LULC classification. …”
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Analysis of Forest Cover in the Tumba-Lediima Nature Reserve (RTL-DRC) by Sylvestre Frey, André Musas A Musas, Nestor Anzola Kibamba, Sebastien Kidushi Mboma, Tege Simboni Simboni, Djonive Munene Asidi

“…Using Landsat 7 and 8 satellite imagery, combined with NDVI calculation and supervised classifications validated by a high Kappa coefficient, this study provides an accurate mapping of land cover change. …”
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Analog parallel processor for broadband multifunctional integrated system based on silicon photonic platform by Na Qian, Defu Zhou, Haowen Shu, Ming Zhang, Xingjun Wang, Daoxin Dai, Xiao Deng, Weiwen Zou

“…Breaking the bandwidth and speed limitations of the single-computing core along with further exploring the multichannel potential of this architecture, we anticipate that the proposed APP will accelerate the development of powerful opto-electronic processors as critical support for applications such as satellite networks and intelligent driving.…”
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Water-Matching CAM: A Novel Class Activation Map for Weakly-Supervised Semantic Segmentation of Water in SAR Images by Kai Wang, Zhongle Ren, Biao Hou, Feng Sha, Zhiyang Wang, Weibin Li, Licheng Jiao

“…Experiments on three datasets of SAR images taken by the GF-3 and Sentinel-1 satellite verify the validity of water-matching CAM. …”
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Identification of dominant species of submerged vegetation based on Sentinel-2 red-edge band: A case study of Lake Erhai, China by Xiaohan Wang, Yu Zhang, Yanhong Yu, Yunmei Li, Heng Lyu, Junda Li, Xiaolan Cai, Xianzhang Dong, Gaolun Wang, Jianzhong Li, Mengmeng Song, Lanlan Chen

“…In this study, Sentinel-2 satellite data was employed to examine and compare the spectral attributes of three preeminent species, Potamogeton maackianus, Vallisneria natans, and Ceratophyllum demersum, within the confines of the Lake Erhai study area. …”
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A long-term analysis of oxidant (OX = O3 + NO2) and its local and regional levels in Tehran, Iran, a high NOx-saturated condition by Ahmad Taheri, Babak Khorsandi, Mohammad Reza Alavi Moghaddam

“…This study investigates OX trends and its local and regional levels in Tehran, Iran using the data from 21 monitoring stations from 2012 to 2022 and satellite remote sensing data (TROPOMI) for 2022. The spatiotemporal trends of O3, NO2, and OX are first examined using ground-based and remote sensing data, and then the polar plots are employed to identify the dominant directions of OX transport and its sources. …”
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Scan Mirror Assembly for the Multispectral Scanning Polarimeter of Aerosol-UA Space Mission by Ivan Syniavskyi, Yevgen Oberemok, Yuriy Ivanov, Mikhail Sosonkin, Vladimir Kireyev, Konstantin Akinin

“…This control system tolerates movements of the orbiting satellite and preserves invariability of its spatial position. …”
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