Latest Remote Sensing & Geospatial Research Papers
The newest Remote Sensing & Geospatial papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Remote Sensing & Geospatial so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.
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- Basal area loss from fire using field-calibrated remote sensing refines western US fire severity measurementsSara Winsemius, Yufang Jin, Safford, Hugh, D, Michelle C. Agne et al. · HAL (Le Centre pour la Comm... · Oct 1, 2026
- The Governance of Satellite Communications and Remote Sensing in Africa: Youth Perspectives and Intergenerational JusticeAbraham Kuol Nyuon · Zenodo (CERN European Organ... · Sep 17, 2026
This article examines The Governance of Satellite Communications and Remote Sensing in Africa: Youth Perspectives and Intergenerational Justice with a focused emphasis on Rwanda within the field of Law. It is structured as a conference pape…
- The Governance of Satellite Communications and Remote Sensing in Africa: Youth Perspectives and Intergenerational JusticeAbraham Kuol Nyuon · Zenodo (CERN European Organ... · Sep 17, 2026
This article examines The Governance of Satellite Communications and Remote Sensing in Africa: Youth Perspectives and Intergenerational Justice with a focused emphasis on Rwanda within the field of Law. It is structured as a conference pape…
- Remote sensing assessment of nature-based solution priorities and green finance needs for ecosystem restoration in Shahdag National ParkNushaba Qadimli, Ulvi Mammadov · Zenodo (CERN European Organ... · Sep 15, 2026
NbS are becoming an ever more critical strategy to restore degraded ecosystems, while also promoting biodiversity conservation, climate resilience and ecosystem services. An integrated remote sensing approach was employed in this study to e…
- Understanding How Location Analytics Is Implemented in Information Systems and Business EducationAvijit Sarkar, Joseph J. Kerski · Journal of the Association ... · Sep 15, 2026
This paper is an exploratory study of the implementation of Location Analytics (LA) in business curricula. Location analytics, fueled by geospatial technology, is increasingly being deployed by organizations worldwide for strategic, tactica…
- Remote sensing assessment of nature-based solution priorities and green finance needs for ecosystem restoration in Shahdag National ParkNushaba Qadimli, Ulvi Mammadov · Zenodo (CERN European Organ... · Sep 15, 2026
NbS are becoming an ever more critical strategy to restore degraded ecosystems, while also promoting biodiversity conservation, climate resilience and ecosystem services. An integrated remote sensing approach was employed in this study to e…
- A potential game-based distributed task planning method for revisit period optimization in MEO remote sensing constellationYinan Ding, Yanning Guo, Shuyi Wang, Yongjun Lei · Control Engineering Practice · Sep 11, 2026
- AI-Powered Flare Combustion Efficiency EstimationAfeefa Azam, Iyyakutti Iyappan Ganapathi, Fares Ossama Abdelhafez, Divya Velayudhan et al. · arXiv · Sep 10, 2026
Achieving high combustion efficiency in flare stacks is crucial for adhering to regulatory standards and controlling the release of hydrocarbons into the environment. Traditional instruments like gas analyzers and hyperspectral cameras are …
- CoSA: Correlation-Guided Change A ttention with Learnable Residual Gating for Remote Sensing Change DetectionAbdirashid Omar, Jonghyuk Park · arXiv · Sep 8, 2026
Pixel-level annotation of fixed traffic-camera imagery is expensive, while crosswalk models trained from street-level imagery face a substantial viewpoint and appearance shift when applied to elevated CCTV. We investigate a data-efficient t…
- Comparative machine-learning retrieval of high-precision bathymetry from multispectral remote sensing: a case study of Manzala Lagoon, EgyptHesham M. El-Asmar, Mahmoud Sh. Felfla, Hussein M. Rashad · Environmental Monitoring an... · Sep 8, 2026
- Integrated remote sensing analysis of rice field burning and air pollution in Eastern Mazandaran, IranA. Yousefi Kebriya, Daryoush Yousefi Kebria, Mehdi Nadi · International Journal of En... · Sep 6, 2026
- MEOX: Compact Multimodal Mixture-of-Experts for Earth ObservationMohanad Albughdadi · arXiv · Sep 4, 2026
Recent advances in Earth Observation representation learning accommodate heterogeneous sensors and missing observations, often through larger architectures. We present MEOX (Multimodal Earth Observation with eXperts), a multimodal masked au…
- Learning Spatial-Spectral Refinement and Calibrating Complementary Observations for Hyperspectral Image Super-ResolutionLiqian Yang, Xingchi Chen, Xinfeng Gui, Xiangyong Cao et al. · arXiv · Sep 4, 2026
Hyperspectral and multispectral image fusion (HMIF) aims to reconstruct a high-resolution hyperspectral image (HR-HSI) by combining the fine spatial details of a high-resolution multispectral image (HR-MSI) with the rich spectral informatio…
- Direct estimation of wildfire emissions at high latitudes from combined polar orbiter FRP and Sentinel-5P CO dataWilliam Maslanka, Martin J. Wooster, Zixia Liu, Jiangping He · Biogeosciences · Sep 4, 2026
Abstract. High Latitude (HL) landscape fires are an important source of greenhouse gases and aerosols, with growing significance under rapid anthropogenic climate change-induced warming. Current fire emission inventories are mostly ‘bottom-…
- Genesis: A Generative Engine for Hierarchical Satellite Image SynthesisSubash Khanal, Yangzhi Cui, Daniel Cher, Eric Xing et al. · arXiv · Sep 2, 2026
Earth observation is fundamentally multi-scale; geospatial tasks span varied resolutions, and satellite imagery is organized into cascading tile pyramids that nest fine detail within wide coverage. Current generative models of satellite ima…
- Characterizing Ice Phenology Variability of Small Lakes in the Cascade Mountain Range Using Daily Ice Presence Probabilities from Satellite Remote SensingDaniel Vandevort, Bareera Mirza, K.M. Ashraful Islam, Mark S. Raleigh · Glacies · Sep 2, 2026
Lake ice is a reliable indicator of climate variability and change. This research investigates annual and spatial variations in lake ice phenology of small lakes (<2 km2) in the Cascade Mountain Range (U.S.A.) using high-temporal frequency …
- A Sensor-Adaptive Incremental Learning Framework for Artifact Detection in Satellite Precipitation DataAndres F. Monsalve, Hernan A. Moreno, Christian D. Kummerow · arXiv · Sep 1, 2026
Historically, retrieving rainfall data from satellite imagery has been the domain of space agencies. However, in recent years, the development of cheaper, more compact satellites (SmallSats) capable of detecting rainfall proxies has led to …
- Scale-based Approach for Active Wildfire Segmentation on Satellite ImageryMatheus F. Kovaleski, Cristiano Premebida, João Ruivo Paulo · arXiv · Sep 1, 2026
Active wildfire mapping from satellite imagery is challenging due to the sparse and highly imbalanced nature of fire pixels, especially in early-stage or low-density fire observations. This work investigates the use of multispectral Landsat…
- BRF-GS: Hyperspectral Bidirectional Reflectance Factor Modeling and Image Generation Based on 3D Gaussian SplattingYiling Yao, Wenjuan Zhang, Bowen Wang, Bocheng Li et al. · arXiv · Aug 31, 2026
The bidirectional reflectance factor (BRF) characterizes the directional radiative properties of terrestrial surfaces. However, existing three-dimensional (3D) radiative transfer models require complex scene construction and computationally…
- GeBDA: Building Damage Assessment as Text-Based Sequence PredictionOlivier Dietrich, Krishna Sapkota, Konrad Schindler, Genady Beryozkin · arXiv · Aug 28, 2026
Conventionally, Building Damage Assessment (BDA) is tackled either with dedicated network architectures or by fine-tuning geospatial image foundation models. In this work, we ask whether a general-purpose Vision-Language Model (VLM) can loc…
- Texture Image Classification Using DWT AlexNet Feature Fusion and Deep Neural NetworksArun D. Kulkarni · arXiv · Aug 28, 2026
Texture image classification plays a significant role in computer vision applications, including industrial inspection, medical image analysis, remote sensing, and object recognition. Handcrafted features can capture local texture character…
- Learning the Target Priors Before Image Translation: A Decoupled Training Paradigm for Cross-Modal Image Translation in Remote SensingKeyan Hu, Mingtao Wang, Ziyu Zhou, Tiandong Shi et al. · arXiv · Aug 28, 2026
Cross-modal image translation in remote sensing must preserve source-observed content while matching the target-domain distribution. Existing methods jointly learn the target prior and cross-modal dependence from scarce paired data, overloo…
- Detection of Christmas tree plantations from high-resolution aerial imagery. A case study in the French MorvanFrancesca Razzano, Emanuele Dalsasso, Adrien Baysse-Lainé, Silvia Liberata Ullo et al. · arXiv · Aug 27, 2026
Christmas tree plantations are economically relevant, yet a largely unexplored application domain in Remote Sensing (RS). Their delineation is challenging because of high planting density, short rotation cycles, visual confusion with surrou…
- MSSARN - multi-layer spectral-spatial attention based residual network for HSI classificationUzair Aslam Bhatti, Mughair Aslam Bhatti, Huilin Jiang, Yonis Gulzar et al. · Journal Of Big Data · Aug 27, 2026
Abstract Hyperspectral imaging (HSI) presents several challenges in remote sensing, particularly in classification tasks. One significant challenge is the high dimensionality of HSI data, which includes hundreds of spectral bands. Another c…
- TurboT2VA: Fast Large-Scale Text-to-Video-Audio Generation via Score-Regularized Consistency DistillationXiaoda Yang, Yuxiang Liu, Kaiwen Zheng, Yuan Liu et al. · arXiv · Aug 25, 2026
Joint text-to-video-audio generation produces synchronized visual and acoustic content, but the long sampling trajectories and heterogeneous multimodal computation of large models make inference prohibitively expensive. We present TurboT2VA…
- Evaluating Communal Grazing Reserve Efficacy for Rangeland Biomass Restoration in Afar, Ethiopia: An Integrated Remote Sensing and Field AssessmentMekonnen Assefa, Hanan Mohammed, Tadesse Gebre, Selamawit Tesfaye · Zenodo (CERN European Organ... · Aug 23, 2026
{ "background": "Communal grazing reserves are a key rangeland management strategy in arid and semi-arid pastoral systems of the Horn of Africa, yet empirical evidence of their efficacy for biomass restoration remains limited and contested.…
- Evaluating Communal Grazing Reserve Efficacy for Rangeland Biomass Restoration in Afar, Ethiopia: An Integrated Remote Sensing and Field AssessmentMekonnen Assefa, Hanan Mohammed, Tadesse Gebre, Selamawit Tesfaye · Zenodo (CERN European Organ... · Aug 23, 2026
{ "background": "Communal grazing reserves are a key rangeland management strategy in arid and semi-arid pastoral systems of the Horn of Africa, yet empirical evidence of their efficacy for biomass restoration remains limited and contested.…
- TASA CubeSat Constellations for Remote Sensing and Communications as Catalysts for Local Innovation and Global ImpactChia-Ray Chen, Yu-Tang You, Yu-Wei Chiu, Jeffery Lin et al. · Digital Commons - USU (Utah... · Aug 23, 2026
The Startup CubeSat Program is a government-supported initiative established to advance Taiwan’s domestic space industry and strengthen national capabilities in small satellite technologies through close collaboration among academia, indust…
- Deep Academic Survey: Stateful Agentic Closed-Loop Paradigm for Academic Survey AutomationZhikai Xu, Zhucun Xue, Teng Hu, Yabiao Wang et al. · arXiv · Aug 18, 2026
Academic surveys play a central role in organizing rapidly expanding scholarly literature, yet their construction requires extensive paper analysis, coherent knowledge organization, fine-grained citation support, and reliable manuscript ass…
- Weakly Supervised Polar Low Segmentation in Sentinel-1 SAR ImageryAndrea Federici, Jakob Grahn, Giacomo Boracchi, Filippo Maria Bianchi · arXiv · Aug 14, 2026
Polar lows are intense maritime cyclones that form rapidly at high latitudes. Deep learning can detect them in Synthetic Aperture Radar (SAR) imagery, but pixel-level segmentation remains an open challenge. No pixel-level masks are availabl…