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2381
Geomagnetic Storm Effects on the LEO Proton Flux During Solar Energetic Particle Events
Published 2023-12-01“…Our results showed that the simulated solar proton flux was more enhanced in the high‐latitude regions and more expanded toward the lower latitude range as long as the geomagnetic storm was intensified. Satellite observations and geomagnetic cutoff rigidities confirmed the numerical results. …”
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2382
Gleissberg Cycle Dependence of Inner Zone Proton Flux
Published 2022-07-01“…Abstract Inner zone proton flux from 1980 to mid‐2021 is examined using NOAA POES satellite data, indicating a long‐term increase corresponding to a one hundred year minimum in solar activity consistent with the Centennial Gleissberg Cycle. …”
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2383
Carbon Sink Estimation of Mangrove Vegetation Using Remote Sensing in Segara Anakan, Cilacap
Published 2022-02-01“…In this study, data from Sentinel 2A satellite imagery was processed and validated with field survey results. …”
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2384
Frequency and Texture Aware Multi-Domain Feature Fusion for Remote Sensing Scene Classification
Published 2025-01-01“…Remote Sensing (RS) scene classification, a pivotal task in Earth observation, involves categorizing satellite or aerial imagery into distinct land-use and land-cover classes. …”
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2385
The Interannual Relationship between the Diabatic Heating over the South Asia and the Snow Depth over the Southern Tibetan Plateau in Late Spring to Early Summer: Roles of the Air...
Published 2023-01-01“…Using in situ observations and improved satellite-derived data, the present study indicates that the snow depth (SD) over the southern TP exhibits distinction characteristics between late spring (i.e., P1: April 16th–May 15th) and early summer (i.e., P2: May 16th–June 14th). …”
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2386
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2387
HiQ-FPAR: A High-Quality and Value-added MODIS Global FPAR Product from 2000 to 2023
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2388
The Effect of Spatial Scale on the Prediction of Tropical Forest Attributes from Image Texture
Published 2024-01-01“…The availability of high-resolution satellite imagery has boosted the modelling of tropical forest attributes based on texture metrics derived from grey-level co-occurrence matrices (GLCMs). …”
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2389
Assesment of Vegetation Cover Status in Dry Lands of The Sudan Using Social and Terrestrial Data
Published 2016-07-01“…Quantitative data was collected using terrestrial inventory and satellite imageries. In terrestrial inventory, 22 ground control points (GCPs) were randomly registered using GPS in order to get general overview of the land cover of the study area. …”
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2390
Design of a Ka-band Wideband Multibeam Phased Array
Published 2024-12-01“…【Objective】The world has entered the era of 5th Generation Mobile Communication Technology (5G) and satellite Internet, and the demand for communication speed and capacity in various fields has surged, while the application of traditional parabolic and narrowband planar phased array antenna systems is limited by factors such as bandwidth and beamforming. …”
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2391
Multiple Roles of the Y Chromosome in the Biology of Drosophila melanogaster
Published 2010-01-01“…This is due to the intrinsic nature of this genetic element, namely, (1) its molecular composition (mainly transposable elements and satellite DNA), (2) its genetic inertia (lack of recombination due to its heterochromatic nature), (3) the absence of homology with the X (with the only exception of the nucleolar organizer), (4) the lack of visible phenotypes when it is missing (indeed, except for their sterility, X0 flies are normal males), and (5) its low density as for protein-coding sequences (to date, only 13 genes out of approximately 14,000 have been mapped on this chromosome in D. melanogaster, i.e., ~0.1% of the total). …”
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2392
A Superposed Epoch Analysis of Auroral Oval Coverage During Substorms Using Deep Learning‐Based Segmentation Models
Published 2024-05-01“…Furthermore, images of 590 substorms observed by the Polar satellite Ultraviolet Imager are segmented. We present superposed epoch analyses of the auroral oval coverage calculated from the segmentation results. …”
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2393
Application of the Artificial Neural Network and Support Vector Machines in Forest Fire Prediction in the Guangxi Autonomous Region, China
Published 2020-01-01“…In this paper, based on Guangxi’s 2010–2018 satellite monitoring hotspot data, meteorology, terrain, vegetation, infrastructure, and socioeconomic data, the researchers determined the main forest fire driving factors in Guangxi. …”
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2394
An Integrated Use of Topography with RSI in Gully Mapping, Shandong Peninsula, China
Published 2014-01-01“…Taking the Quickbird optical satellite imagery of the small watershed of Beiyanzigou valley of Qixia city, Shandong province, as the study data, we proposed a new method by using a fused image of topography with remote sensing imagery (RSI) to achieve a high precision interpretation of gully edge lines. …”
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2395
Effectiveness of interventions for dry eye: a protocol for an overview of systematic reviews
Published 2022-06-01“…There are several treatment options available for dry eye and high-quality systematic reviews synthesise the evidence for their effectiveness and potential harms.Methods and analysis We will search the Cochrane Eyes and Vision US satellite (CEV@US) database of eyes and vision systematic reviews for systematic reviews on interventions for dry eye. …”
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2396
Forecasting Megaelectron‐Volt Electrons Inside Earth's Outer Radiation Belt: PreMevE 2.0 Based on Supervised Machine Learning Algorithms
Published 2020-02-01“…This updated model, called PreMevE 2.0, provides improved forecasts, particularly at outer L‐shells, by adding upstream solar wind speeds to the model's input parameter list that originally includes precipitating electrons observed at low Earth orbits and MeV electron fluxes in situ measured by a geosynchronous satellite. Furthermore, based on several kinds of linear and artificial neural networks algorithms, a list of models was constructed, trained, validated, and tested with 42‐month MeV electron observations from Van Allen Probes. …”
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2397
Fine-Grained Building Classification in Rural Areas Based on GF-7 Data
Published 2025-01-01“…Few studies have been conducted on fine-grained building classification in rural areas using China’s Gaofen-7 (GF-7) high-resolution stereo mapping satellite data. In this study, we employed a two-stage method combining supervised classification and unsupervised clustering to classify buildings in the rural area of Pingquan, northern China, based on building footprints, building heights, and multispectral information extracted from GF-7 data. …”
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2398
Landscape Transformations (1987–2022): Analyzing Spatial Changes Driven by Mining Activities in Ayapel, Colombia
Published 2025-01-01“…This study, focused on the Municipality of Ayapel, Colombia, identifies the landscape units and analyzes the changes in land use and cover resulting from gold mining between the years 1987, 2002, and 2022, applying the CORINE Land Cover methodology, an adapted legend for Colombia, using Landsat satellite images. For this, the recognition of the physical geographical characteristics of the area was carried out in order to group homogeneous landscape units through a cartographic overlay of various layers of information, considering variables such as topography, geomorphology, and lithology. …”
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2399
Study on a Large-Scale Persistent Strong Dense Fog Event in Central and Eastern China
Published 2020-01-01“…A large-scale persistent strong dense fog (SDF) event that occurred from December 30, 2016, to January 5, 2017, in central and eastern China is analyzed by using a variety of data, including high-resolution satellite and surface observations, meteorological tower observations, fine-resolution sounding observations, and NCEP/NCAR reanalysis data. …”
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2400
The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change
Published 2025-01-01“…At Lake Cerknica, long-term data on water levels and temperatures, combined with four decades of Landsat satellite imagery, allowed for a comprehensive analysis of reed stand dynamics of three different reed stands using the modified soil adjusted vegetation index (MSAVI2) and an index differentiating technique. …”
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