Frontiers in Remote Sensing | New and Recent Articles

Atmospheric pollution associated with carbon monoxide (CO), nitrogen dioxide (NO2), and sulfur dioxide (SO2) represents an important environmental and public health concern in Andean regions influenced by urban growth, transportation, agricultural burning, mining-related activities, and complex topography. This study analyzed the spatiotemporal variability of CO, NO2, and SO2 in the Apurimac regi…

The Yilan-Yitong Fault Zone, a core part of the northern Tanlu Fault Zone, is a key seismogenic structure in Northeast Asia. Its Liaoning segment suffers from unclear surface distribution, insufficient late Quaternary activity evidence and lack of refined research based on optimized multi-source remote sensing data, which restricts regional seismic hazard assessment and major engineering safety l…

IntroductionLand suitability assessment is crucial for identifying areas with high potential for agricultural production, promoting sustainable land use, and addressing food security challenges. In the study area, approximately 70% of the population depends on agriculture for their livelihood. Therefore, assessing land suitability is essential for ensuring efficient land utilization and enhancing…

Stratospheric high-altitude balloons (HABs) have great potential as remote sensing platforms for Earth observations, complementing orbiting satellites and low-flying drones. At altitudes of 20–35 km, HABs operate significantly closer to the ground than orbiting satellites but significantly higher than most drones. Therefore, HABs offer unique potential for high-spatial-resolution imaging with lar…

Rapid tourism expansion and infrastructure growth in the Western Ghats are reshaping ecological stability in steep, topographically complex landscapes that still retain substantial forest cover. These changes are intensifying habitat fragmentation, degrading ecosystems, and placing increasing pressure on biodiversity-rich environments. Focusing on Idukki district in southern India, this study int…

In visible-SAR cross-modal remote sensing target detection tasks, due to the significant differences between the two modalities in imaging mechanisms and feature representations, as well as the susceptibility of SAR images to speckle noise interference and the inadequate utilization of structural information, existing methods often struggle to balance detection accuracy with model lightweighting …

IntroductionIndustrial hemp (Cannabis sativa L.) is a multipurpose bio‐economy crop capable of producing fiber, grain, and biomass while contributing to soil health and carbon sequestration. Realizing this potential requires optimized nitrogen (N) management, as N strongly regulates plant growth, yield, and fiber quality, while inefficient or excessive N use can cause environmental harm. Conventi…

Gross primary productivity (GPP) is a crucial indicator for understanding the global carbon cycle and climate change. Sun-Induced Chlorophyll Fluorescence (SIF) provides a direct link to plant photosynthesis, offering a novel approach for GPP estimation in terrestrial ecosystems. Given the complex factors influencing the canopy SIF–GPP relationship and the limited generality of empirical linear m…

Digital agriculture has undergone a profound transformation driven by rapid advances in Earth observation, unmanned aerial vehicles and advanced data processing techniques. Despite this progress, climate-smart agriculture management faces a critical challenge: a farmer-centric agro-advisory system. Farmers and extension workers have limited access to GeoAI-based agro-advisory services, primarily …

IntroductionStrategic and active management of protected and heterogeneous wetland landscapes requires timely, accurate, and spatially explicit land-use and land-cover (LULC) information. This study presents a comprehensive landscape-level characterisation of LULC across South Africa’s first proclaimed World Heritage and Ramsar site, the iSimangaliso Wetland Park (IWP), and its surrounding areas.…

Solar-induced chlorophyll fluorescence (SIF) is a direct remotely sensed indicator of photosynthetic activity and plant physiological status. However, its application is limited by coarse spatial resolution and data gaps. The NASA PACE mission offers hyperspectral observations that may help address these limitations through its Ocean Color Instrument and associated Land Vegetation Index (LANDVI) …

Wetlands play an irreplaceable role in maintaining ecological balance and conserving biodiversity. However, driven by both natural and human factors, vast wetland areas worldwide are being rapidly converted into agricultural or urban land, leading to a sharp decline in their extent and a degradation of their quality. Against this backdrop, remote sensing technology, with its unique advantages in …

Given the similarities in their instrumental characteristics, a comparative analysis was conducted between hyperspectral missions of PRISMA, operated by the Italian Space Agency (ASI), and EnMAP, developed by the German Aerospace Center (DLR). This work investigates both the similarities and discrepancies between these two satellite optical data, providing an outline of the spectral regions where…

The accurate assessment of forest aboveground carbon (AGC) is crucial for improving the efficiency of forest resource management, mitigating climate change, and fostering sustainable development. However, the extensive distribution of forests, their complex ecosystem structures, insufficiently representative assessment data, and methodological inconsistencies generally lead to estimates with low …

Canopy segmentation is a crucial step in obtaining canopy parameters in forestry remote sensing, and it holds significant importance for research areas such as forest carbon sequestration. However, canopy segmentation based on UAV imagery still faces challenges including confusion between edges and background, as well as insufficient edge details. To address these issues, this paper proposes a se…

Timely and accurate crop-type mapping is fundamental for sustainable agricultural management and food security in semi-arid regions, where climate variability and fragmented landscapes present persistent challenges. This study develops and validates an operational, multi-temporal framework for classifying five key agricultural classes (i.e., soft wheat, durum wheat, barley, trees, and other crops…

Chlorophyll-a concentration (chl-a) is important to assess the health and state of ocean ecosystems. With the availability of global ocean-colour chl-a estimates that now span 25 years, there has been a concerted effort to produce merged data products from different satellite sensors to assess changes in chl-a over the global ocean for long periods of time. However, to date, the performance of th…

IntroductionHydrological hazards, such as floods and landslides are frequently driven by extreme rainfall events (ERE). Thus, understanding the spatio-temporal patterns and intra-event behavior of these events is important for identifying vulnerable regions, improving early warning systems, and enhancing water management.MethodsThis study aimed to analyze the spatio-temporal intra-event character…