Results 111 to 120 of about 1,362 (207)

Formation process of the gravel‐dominated deposit from the 2011 Tohoku‐oki tsunami in Ofunato, northeastern Japan, inferred by integrating sedimentology and tsunami modelling

Sedimentology, Volume 73, Issue 5, Page 1378-1402, August 2026.
ABSTRACT Tsunami deposits serve as geological records of past events and are essential for understanding the occurrence and dynamics of tsunamis. However, conventional research has largely focused on sandy and boulder deposits, leaving gravel‐dominated tsunami deposits comparatively underexplored; furthermore, their characteristics and formation ...
Hidetoshi Masuda, Haruki Imura, Koki Nakata, Takashi Ishizawa, Daisuke Sugawara, Kazuhisa Goto   +5 more
wiley   +1 more source

Geometric Abundance Estimation Using Variable Endmembers for Hyperspectral Imagery

International Journal of Hybrid Information Technology, 2014
Abundance estimation is an important step of quantitative analysis of hyperspectral remote sensing data. Due to physical interpretation, sum-to-one and non-negativity constraints are generally imposed on the abundances of materials. This paper presents a geometric approach to fully constrained linear spectral unmixing using variable endmember sets for ...
Huadong Yang, Jubai An
openaire   +1 more source

Source‐to‐sink sediment transport reversals during glacial sea‐level lowstands sustain soil formation on pericoastal carbonate terrains

Sedimentology, Volume 73, Issue 5, Page 1892-1910, August 2026.
ABSTRACT Understanding the processes that drive soil formation is crucial for developing sustainable land‐use strategies, as changing land‐use practices and climate change exacerbate soil erosion. The formation of substantial arable soils on carbonate bedrock requires substantial dust accretion as the underlying bedrock lacks siliciclastic material. In
Daniel Palchan, Yael Jacobi Glass, Olga Berlin, Yoav Ben Dor   +3 more
wiley   +1 more source

A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images [PDF]

, 2018
Hyperspectral unmixing is a blind source separation problem that consists in estimating the reference spectral signa- tures contained in a hyperspectral image, as well as their relative contribution to each pixel according to a given mixture model.
Thouvenin, Pierre-Antoine, Jean-Yves Tourneret, Pierre-Antoine Thouvenin, Nicolas Dobigeon, Dobigeon, Nicolas, Tourneret, Jean-Yves   +5 more
core   +1 more source

Hyperspectral Unmixing With Multi-Scale Convolution Attention Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing is to decompose the mixed pixel into the spectral signatures (endmembers) with their corresponding abundances. However, the ignorance of endmember variability in hyperspectral unmixing results in low performance.
Sheng Hu, Huali Li
doaj   +1 more source

Spectral Unmixing of Pigments on Surface of Painted Artefacts Considering Spectral Variability [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Painted artefacts, such as murals and paintings, are the treasures of human civilization. Pigment is an important component of their surfaces. It is crucial to study the composition and proportion of pigments on the surface of painted artefacts for the ...
Y. Wang, Y. Wang, S. Lyu, S. Lyu, B. Ning, D. Yan, M. Hou, M. Hou, P. Sun, P. Sun, L. Li   +10 more
doaj   +1 more source

Tracing the Persistence and Role of Deep‐Sea Iron Sources in the Pacific Ocean Over the Last 23 Million Years

Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract Iron (Fe) plays a critical role in marine productivity and the global carbon cycle. The relative contribution of different Fe sources such as atmospheric aerosols, sediment dissolution, and submarine hydrothermalism influences the distribution and biogeochemical cycling of Fe in the ocean. However, distinguishing these Fe sources over time has
Yongzhi Chu, Xiaohu Li, Ruifang C. Xie, Tim M. Conway, Antao Xu, Yanhui Dong   +5 more
wiley   +1 more source

Accelerated Hyperspectral Unmixing with Endmember Variability via the Sum-Product Algorithm [PDF]

, 2016
The rich spectral information captured by hyperspectral sensors has given rise to a number of remote sensing applications, ranging from vegetative assessment and crop health monitoring, to military surveillance and combatant identification.
Puladas, Charan
core   +1 more source

Oxidation of Aqueous Sulfide by Chlorate: Implications for Native Sulfur Formation on Mars

Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract The recent discovery of native sulfur (“sulfur stones” consist of elemental sulfur) by Curiosity rover in the Gale Crater has sparked considerable research interest toward identifying its formation mechanisms that could generate novel insights into Martian sulfur cycling.
J. Wang, S. Kim, Z. Gold, R. L. Cheng, C. Muñoz‐Saez, N. M. Fernandez   +5 more
wiley   +1 more source

Upgradient Storage Features Control Timing and Magnitude of Solute Export at Stream Outlets

Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.
Abstract Concentration‐discharge (C‐Q) relations are used to infer water and solute storage and transport but are often informed by coarse‐temporal data. Here, we use high‐frequency and long‐term C‐Q datasets from two adjacent, but geologically and geomorphically distinct, watersheds in Colorado to evaluate how vertical and lateral flowpaths ...
Sara Warix, Keira Johnson, Kenneth Swift Bird, Curtis Beutler, Austin Shirley, Wendy S. Brown, Kenneth H. Williams   +6 more
wiley   +1 more source