2026 August-1 - 210 articles
Detecting changes in coral and seagrass habitat composition from satellite imagery places exceptionally high demands on sensor design due to low underwater reflectance signals and variable water column conditions. Recent multispectral satellite-based...
Bistatic Synthetic Aperture Radar (BiSAR) is an advanced radar imaging system in which the transmitter and receiver platforms are positioned at distinct spatial locations. This separated transmit–receive architecture enables coordinated observa...
Unmanned aerial vehicle (UAV) imagery can support plot-scale crop phenotyping, but spectral, RGB and structural predictors may contribute differently to different traits. We compared six predefined feature groups for predicting soybean SPAD and plant...
Extreme rainfall-induced forest aboveground biomass (AGB) loss poses a serious threat to ecosystem stability and carbon stocks amid intensifying climate extremes. However, quantitative assessments of this loss remain scarce, and the spatial patterns...
Flood dynamics can be represented using a growing diversity of remote-sensing sources, digital elevation models (DEMs), hydrological/hydraulic models, and statistical validation techniques. However, no unified evidence-based framework is currently av...
Crop residue cover (CRC) plays a crucial role in sustainable farming systems by improving soil structure, regulating water retention, and reducing soil erosion. Accurate CRC monitoring is therefore important for evaluating field management practices...
Martian landslide segmentation is challenging because annotated samples are limited and landslide deposits can have weak boundaries, heterogeneous textures, and visual similarity to crater rims and canyon walls. This study evaluates a terrain-residua...
Atmospheric water vapor is a key atmospheric variable that regulates weather variability, the hydrological cycle, and climate processes. GNSS-based water vapor retrieval provides an effective approach for continuous and near-real-time monitoring of a...
Persistent Scatterer Interferometry (PSI) provides dense and temporally continuous measurements of ground deformation, offering a robust framework for investigating, among other phenomena, earthquake-related surface deformation. However, most satelli...
Plane-parallel atmospheric radiative transfer models neglect the Earth’s curvature, resulting in substantial optical path errors at large zenith angles and limiting the accuracy of satellite remote sensing retrievals. Fully spherical Monte Carl...
Terrestrial water storage (TWS) is a key parameter for understanding regional water cycles and climate change. To address the low spatial resolution and temporal gaps of Gravity Recovery and Climate Experiment (GRACE) and its successor satellites (GR...
Accurate identification of eucalyptus plantation maturity, which is hierarchically defined as young forests, middle-aged forests, and mature forests, corresponding to different growth and physiological development stages of eucalyptus stands, is crit...
This study presents a multidisciplinary investigation of the fluvial evolution of the northern meander of the Calore River at Cellarulo locality, near Benevento (southern Italy). The research integrates archaeological evidence, geological and geomorp...
The Chinese Loess Plateau is a vast semi-arid landscape that has experienced substantial vegetation recovery through afforestation since the late twentieth century, altering the regional carbon cycle and contributing to China’s carbon neutralit...
Hyperspectral image super-resolution (HSI SR) aims to recover high-resolution hyperspectral images from low-resolution observations while preserving spatial details and spectral fidelity. Accurate spectral preservation is a key distinction between HS...
Reference labels for crop-type mapping are frequently coarse, and administrative land-use registries such as Japan’s eMAF (electronic Map of Agriculture and Forestry) database routinely group agronomically distinct crops under broad, ambiguous...
The Huaihe River Basin (HRB) experiences pronounced seasonal circulation and recurrent aerosol pollution, yet continuous observations of wind structure above the atmospheric boundary layer remain limited. We integrate rotary Rayleigh Doppler wind lid...
Traditional Bayesian SAR detection methods suffer poor adaptability to speckle noise, fail to handle severe class imbalance within large-scale multi-target datasets, and incur prohibitive training overheads. To address these drawbacks, this paper dev...
Interference in the local radio network (RLAN), referred to in this study as spike-type interference, is a significant problem in data from C-band weather radars, as it can degrade the accuracy of hydrometeor monitoring. The main challenge in removin...
Failures at large-scale open-pit mines and tailing dams pose critical risks to human life, environmental systems, and economic sustainability. Although Interferometric Synthetic Aperture Radar (InSAR) has proven effective in detecting long-term surfa...
Fine-grained classification of urban green spaces (UGSs) is important for urban ecological assessment and management but remains challenging because of spectral similarity among vegetation types and inaccurate object delineation in complex urban envi...
Drought early warning is important for reducing agricultural production risks and ensuring regional water security. However, existing warning systems often focus on drought propagation probabilities and average propagation times, with insufficient at...
Accurate crop type mapping in Sub-Saharan Africa is a challenging task, due to the presence of smallholder farming systems characterized by fragmented landscapes and heterogeneous cropping practices. Persistent cloud cover, particularly significant d...
Artificial Light at Night (ALAN) is increasingly recognized as an environmental exposure in dense urban areas, where conventional two-dimensional nighttime-light remote sensing cannot adequately represent vertical illumination on building facades, wh...
High-resolution remote sensing imagery provides valuable data support for accurate binary urban green space extraction. However, due to complex urban backgrounds, existing methods still face challenges in accurately delineating green space boundaries...
Extreme droughts can rapidly reshape surface-water patterns in river-connected floodplain wetlands, yet the fine-scale responses of individual dish-shaped sub-lakes remain insufficiently resolved. This study focused on the 2022 extreme drought in Poy...
Landslide susceptibility mapping infers future slope-failure potential from observed landslides. This inference is uncertain because locations without recorded failures cannot be confirmed as stable or used as reliable negatives, and incomplete inven...
Interferometric synthetic aperture radar (InSAR) enables large-scale, all-weather, day-and-night monitoring of surface deformation, but phase unwrapping remains challenging in mining areas with large-gradient deformation. Most conventional phase unwr...
The main objective of the present study was to conduct landslide susceptibility assessment and zoning analysis based on multi-scale imbalanced sampling and deep learning methods. Jiangkou Town, China, was selected as the study area. Grid cells with r...
Soil moisture (SM) remote sensing is widely used for agricultural drought monitoring, yet most applications still emphasize static moisture states rather than event-scale wetting responses. We developed an interpretable Earth observation (EO) framewo...
High-resolution satellite imagery has substantially improved the monitoring of vegetation dynamics; however, the influence of spatial resolution and pixel aggregation on NDVI time series consistency remains insufficiently quantified, particularly acr...
Land subsidence driven by excessive groundwater extraction in the Choushui River alluvial fan of central Taiwan poses a significant threat to the structural integrity of the Taiwan High-Speed Rail (THSR). This study presents an integrated approach co...
Satellite-Derived Bathymetry (SDB) based on the Stumpf log-ratio method routinely uses a fixed parameter n = 1000, a convention that has rarely been evaluated systematically. This study assesses empirically how SDB error varies with n across 31 bathy...
Small object detection in UAV remote sensing remains challenging due to fine-grained feature loss during downsampling and unbalanced cross-scale feature aggregation. Conventional feature pyramid fusion may suffer from hard activation truncation or co...
Star trackers commonly suffer from star point trailing during stellar imaging under dynamic observation conditions. Traditional non-blind deconvolution methods rely on a known Point Spread Function (PSF), whereas blind deconvolution approaches are pl...
For large-scale photovoltaic plant inspection, UAV-based infrared–visible real-time detection can combine thermal abnormality information with appearance and structural cues. This is useful for improving inspection and maintenance efficiency. H...
Satellite imagery has helped to provide decades of shoreline change data to coastal regions all over the world. Although shorelines around the globe have been armored with different types of coastal structures to try and protect beaches and propertie...
This study presents a data-driven approach, MLS-CAPS (mobile laser scanning completeness analysis for path spacing), for defining optimal path spacing (walking path) for backpack or handheld MLS surveys in ecological applications. By using an initial...
Understanding the spatial structure of tree communities is fundamental for evaluating ecological interactions and management dynamics in agroforestry systems. However, the structural complexity and small spatial scale of traditional agroecosystems of...
Exploiting the complementary views of ground-based and aerial laser scanning requires co-registering their point clouds, which is difficult in closed tropical forest where Global Navigation Satellite System (GNSS) reception fails. We co-registered ha...
Recently, integrating convolutional neural networks (CNNs) with Mamba has shown notable advantages in hyperspectral image classification. However, existing Mamba–CNN hybrid frameworks typically adopt a parallel-branch architecture where identic...
Urban vegetation provides essential ecosystem services, including temperature regulation, air purification, noise reduction, and carbon storage. However, urban densification and climate-induced stresses increasingly threaten these ecosystems. Accurat...
Knowledge transfer plays a crucial role in cross-scene hyperspectral imaging (HSI). However, existing studies often overlook the challenges of gradient conflicts and dominant gradients that arise during the optimization of shared parameters. Moreover...
Under the context of climate change, investigating vegetation sensitivity to soil moisture in arid and semi-arid regions is crucial for assessing ecosystem stability. Nevertheless, how vegetation sensitivity varies among different soil depths, whethe...
Synthetic aperture radar (SAR)–optical image fusion and object detection are two closely related tasks in remote sensing. Fusion can provide richer texture and structural cues for downstream detection, while detection can, in turn, provide obje...
Plant secondary metabolites play important roles in plant defense, environmental adaptation, and ecosystem functioning, yet large-scale monitoring of foliar phenolics remains limited because of the high cost and restricted spatial coverage of airborn...
Point cloud fusion is crucial in geospatial analysis, combining data from multiple sources (e.g, LiDAR and photogrammetry) to provide a more complete and accurate environmental representation. However, integrating airborne hybrid sensors or cross-sou...
Single-source remote sensing image (RSI) cannot simultaneously meet high-spatial and high-temporal resolution requirements, failing to provide decision-makers with timely and accurate monitoring data. Spatiotemporal fusion (STF) of multi-source RSIs...
Alpine karst lakes in Jiuzhaigou exhibit spatial variations in optical properties associated with differences in water depth, underwater substrates, and travertine distribution. Conventional satellite observations may not provide sufficient spatial r...
Quarry waste piles are heterogeneous engineered embankments that are susceptible to slope instability, yet early detection of pre-failure surface changes remains challenging due to complex surface conditions and measurement uncertainty. This study pr...
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