Results 141 to 150 of about 1,605,385 (193)

Preprocessing of PHI-3 Hyperspectral Data

Shuitu baochi yanjiu, 2007
The processing of PHI-3 hyperspectral remote sensing data from original data to production is presented.For the characteristic of this data,preparation such as integrality disposal,radiance calibration,dim electric current disposal and geometry ...
FAN Nan-nan1, LI Zeng-yuan2, FAN Wen-yi1, WANG Beng-yu2, TAN Bing-xiang2, LIU Guang-feng1   +5 more
doaj  

Time Series Domain Adaptation: A Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
This survey provides a comprehensive and systematic review of TSDA methods from the perspectives of access‐privacy constraints, category‐space semantics, and source‐target topology, three orthogonal axes that unify existing approaches within a common taxonomy.
M. T. Furqon, Mahardhika Pratama, Wisnu Jatmiko   +2 more
wiley   +1 more source

Burn Severity as a Driver of Multi‐Year Increases in Gross Primary Production and Solar‐Induced Fluorescence Following a Wildfire in Arctic Tundra

AGU Advances, Volume 7, Issue 6, September 2026.
Abstract While climate‐driven increases in wildfires are altering the composition and function of Arctic ecosystems, the impact of burn severity on longer‐term changes in community composition and ecosystem fluxes remains less understood, creating uncertainty in estimates of the biome's carbon storage capacity.
Jinhyuk E. Kim, Rebecca C. Scholten, Rachel Badzioch, Salvatore R. Curasi, Ian Klupar, Alexa A. Salinas, Michael L. Goulden, James T. Randerson, Edward B. Rastetter, Adrian V. Rocha   +9 more
wiley   +1 more source

Interferometric Synthetic Aperture Radar (InSAR) for Monitoring Seasonal Snow

Water Resources Research, Volume 62, Issue 9, September 2026.
Abstract Interferometric Synthetic Aperture Radar (InSAR) offers a potential pathway for measuring seasonal snow water equivalent (SWE) and snow depth at spatial and temporal scales needed for basin‐scale hydrology. First proposed for seasonal snow more than 25 years ago, InSAR uses repeat‐pass radar phase differences to estimate changes in SWE or ...
Jack Tarricone, Ross T. Palomaki, Randall Bonnell, Zachary Hoppinen, Shadi Oveisgharan, Jorge Jorge Ruiz, Hans‐Peter Marshall, Elias J. Deeb, Carrie Vuyovich, Steven A. Margulis, Simon Yueh, Richard R. Forster, Ryan W. Webb, Daniel McGrath, Juha Lemmetyinen, Kelly Elder, Rashmi Shah, Xiaolan Xu   +17 more
wiley   +1 more source

Facilitating macrosystem biology with organismal‐scale airborne remote sensing: Challenges and opportunities

Functional Ecology, Volume 40, Issue 9, Page 2760-2776, September 2026.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Emergent ecosystem properties, such as population and trait distributions, biodiversity and energy and water fluxes, occur because of the dynamic interactions of individuals in their environment.
Sarah J. Graves, Ritesh Chowdhry, Meilun Zhou, Ira Harmon, Ben Weinstein, S. K. Morgan Ernest, Alina Zare, Ethan P. White, Stephanie A. Bohlman   +8 more
wiley   +1 more source

Twenty‐one questions shaping the future of plant phenology research in the 21st century

Functional Ecology, Volume 40, Issue 9, Page 2777-2792, September 2026.
Read the free Plain Language Summary for this article on the Journal blog. Abstract This Perspective examines the critical frontiers shaping the future of plant phenology research and identifies key emerging challenges and opportunities expected to influence the field in the 21st century.
Barbara Templ, Johanna Kauffert, José A. Oteros, Sebastian Lehner, Eike Luedeling, Ester Prat, Victor Van der Meersch, Anton Vrieling, Jorad de Vries, Emma Izquierdo‐Verdiguier, Inaki García de Cortázar‐Atauri, Keke Duan, Urša Vilhar, Herminia Garcia‐Mozo, Francois Rebaudo, Haiyin Ye, Gal Oblišar, Raul Zurita‐Milla, Mahdi Khodadadzadeh, Annette Menzel   +19 more
wiley   +1 more source

Floods From Space: How Remote Sensing, AI, and Cloud Platforms Are Reshaping Disaster Risk Reduction

Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.
ABSTRACT Flooding remains one of the most damaging climate‐related hazards globally, yet flood remote sensing has historically developed largely along sensor‐specific pathways. This review addresses the need for a systematic and decision‐oriented synthesis of how space‐borne remote sensing has evolved toward integrated flood monitoring and disaster ...
Ricky Anak Kemarau, Nurfashareena Muhamad, Aida Soraya Shamsuddin, Zulfaqar Sa'adi, Zaini Sakawi, Oliver Valentine Eboy, Nik Norliati Fitri Md Nor   +6 more
wiley   +1 more source

Pixels and Patterns in the Sand: Decoding Coastal Dune Habitats With Multi‐Resolution CNNs

Journal of Vegetation Science, Volume 37, Issue 5, September/October 2026.
Coastal dune habitats are small, fragmented, and challenging to map. We tested convolutional neural networks (CNNs) on an Italian coastal dune system, comparing four remote sensing datasets: UAV, airborne, Google Earth, and WorldView‐3 satellite. Mapping accuracy dropped sharply with coarser spatial resolution, while adding spectral bands mostly ...
Emilia Pafumi, Claudia Angiolini, Giovanni Bacaro, Leopoldo de Simone, Emanuele Fanfarillo, Tiberio Fiaschi, Duccio Rocchini, Elisa Thouverai, Simona Maccherini   +8 more
wiley   +1 more source

Effects of Landscape Pattern on Spatial Distribution of Soil Organic Carbon Content in a Typical Lakeside Oasis

Land Degradation &Development, Volume 37, Issue 14, Page 10494-10512, 30 August 2026.
ABSTRACT Knowledge of the factors influencing the spatial distribution of farmland soil organic carbon (SOC) content contributes to a better understanding of human impacts on soil, which is crucial for improving soil quality and mitigating climate change.
Ke Quan, Xinguo Li, Xiangyu Ge
wiley   +1 more source

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Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery

IEEE Transactions on Geoscience and Remote Sensing, 2016
In recent years, the support vector machines (SVMs) have been very successful in remote sensing image classification, particularly when dealing with high-dimensional data and limited training samples. Nevertheless, the vector-based feature alignment of the SVM can lead to an information loss in representation of hyperspectral images, which ...
Xin Huang, Liangpei Zhang, Antonio Plaza   +2 more
exaly   +3 more sources