Results 41 to 50 of about 1,675 (179)
Diagnosis of Lung Nodule Using the Semivariogram Function [PDF]
This paper proposes using the semivariogram function, to help characterize lung nodules as malignant or benign in computerized tomography images.
Aristófanes C. Silva +3 more
openaire +1 more source
Scale Dependence of Woody Plant β‐Diversity in a Tropical Rainforest Metacommunity
Using a scale‐explicit metacommunity framework in a tropical rainforest, we examined how woody plant compositional dissimilarity and its replacement and richness‐difference components vary across spatial extents. Compositional dissimilarity increased modestly with extent but remained consistently dominated by species replacement, while environmental ...
Jie Yao +8 more
wiley +1 more source
Fast semivariogram computation using FPGA architectures
The semivariogram is a statistical measure of the spatial distribution of data and is based on Markov Random Fields (MRFs). Semivariogram analysis is a computationally intensive algorithm that has typically seen applications in the geosciences and remote sensing areas.
Yamuna Lagadapati +2 more
openaire +2 more sources
NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos +8 more
wiley +1 more source
Surface roughness isinfluenced by type and intensity of soil tillage among other factors, and it changes considerably with rain. In microrelief studies the advantages of using indices such as the fractal dimension, D, and the crossover length, l, is that
Eva Vidal Vázquez +3 more
doaj +1 more source
Abstract The development of hydrophobic layers during wildfire is well‐documented. Tests are often performed on a few points at the mineral soil surface. However, this may not accurately capture the spatial extent of these layers laterally or vertically.
Benjamin C. Newcomb +6 more
wiley +1 more source
Object-based change detection is a powerful analysis tool for remote sensing data, but few studies consider the potential of temporal semivariogram indices for mapping land-cover changes using object-based approaches.
Eduarda Martiniano de Oliveira Silveira +3 more
doaj +1 more source
Abstract Postseismic afterslip has been inferred to occur on fault barriers surrounding coseismic asperities, which can be explained by velocity‐strengthening friction in barriers and velocity‐weakening friction in asperities. However, afterslip also exhibits spatial overlap with coseismic slip for some events.
Yuan Gao +10 more
wiley +1 more source
Abstract The spatial correlation of streamflow in a river network captures how flows at different locations relate to one another and influence the downstream response. In this study, we analyze the spatial correlation of streamflow and rainfall during storm events in three Texas watersheds: San Antonio (2015 and 2016 storms), Guadalupe (2018 storm ...
Sujana Timilsina, Paola Passalacqua
wiley +1 more source
Optimizing RWIS Locations with Wasserstein Distance and Geostatistics: A Case Study in South Korea
Road Weather Information Systems (RWISs) are essential components of modern Intelligent Transportation Systems (ITSs) deployed in cold regions to gather real-time data on winter weather and road surface conditions.
Nancy Huynh, Jinhwan Jang, Tae J. Kwon
doaj +1 more source

