Results 61 to 70 of about 9,305 (199)

Geostatistical radar-raingauge combination with nonparametric correlograms: methodological considerations and application in Switzerland [PDF]

, 2011
Modelling spatial covariance is an essential part of all geostatistical methods. Traditionally, parametric semivariogram models are fit from available data.
Berenguer, M., Erdin, R., Frei, C., Schiemann, Reinhard, Sempere-Torres, D., Willi, M.   +5 more
core   +2 more sources

Toward Systematic Modeling of Volcano Deformation Sources Using Automatically‐Generated InSAR Products

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 2, February 2026.
Abstract Volcano deformation measured through Interferometric Synthetic Aperture Radar (InSAR) is ideal for volcano monitoring in many regions due to its global coverage, characteristic spatio‐temporal patterns, and modeling insights. Routinely acquired and processed Sentinel‐1 InSAR datacubes provide the first opportunity to systematically catalog ...
B. Ireland, J. Biggs, N. Anantrasirichai, F. Albino, E. W. Dualeh   +4 more
wiley   +1 more source

Object-based change detection using semivariogram indices derived from NDVI images: The environmental disaster in Mariana, Brazil

Ciência e Agrotecnologia
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, Fausto Weimar Acerbi Júnior, José Márcio de Mello, Inácio Thomaz Bueno   +3 more
doaj   +1 more source

Spatial variability of physical attributes of an alfisol under different hillslope curvatures Variabilidade espacial de atributos físicos de um argissolo sob diferentes curvaturas do relevo

Revista Brasileira de Ciência do Solo, 2010
The influence of relief forms has been studied by several authors and explains the variability in the soil attributes of a landscape. Soil physical attributes depend on relief forms, and their assessment is important in mechanized agricultural systems ...
Livia Arantes Camargo, José Marques Júnior, Gener Tadeu Pereira   +2 more
doaj   +1 more source

Detecting and Modeling Emotional Landscapes Through Deep Learning, GPT‐4.1, and 3D Spatial Interpolation

Transactions in GIS, Volume 30, Issue 1, February 2026.
ABSTRACT This research provides new directions in conceptualizing emotional geographies at the landscape level using a combination of textual deep learning (DL) and GPT‐based spatial emotion detection and interpolation using 3D empirical Bayesian kriging.
Christopher J. Anderson
wiley   +1 more source

Spatial variability of soil chemical properties after coffee tree removal Variabilidade espacial dos atributos químicos do solo após remoção de cafezal

Revista Brasileira de Ciência do Solo, 2009
Assessing the spatial variability of soil chemical properties has become an important aspect of soil management strategies with a view to higher crop yields with minimal environmental degradation.
Sidney Rosa Vieira, Osvaldo Guedes Filho, Márcio Koiti Chiba, Heitor Cantarella   +3 more
doaj   +1 more source

Demonstrating the Power and Flexibility of Variational Assumptions for Amortized Neural Posterior Estimation in Environmental Applications

Environmetrics, Volume 37, Issue 1, January 2026.
ABSTRACT Classic Bayesian methods with complex environmental models are frequently infeasible due to an intractable likelihood. Simulation‐based inference methods, such as neural posterior estimation, calculate posteriors without accessing a likelihood function by leveraging the fact that data can be quickly simulated from the model, but converge ...
Elliot Maceda, Emily C. Hector, Amanda Lenzi, Brian J. Reich   +3 more
wiley   +1 more source

Quantifying urban tree canopy cooling capacity using Bayesian hierarchical models and satellite imagery

PLANTS, PEOPLE, PLANET, Volume 8, Issue 1, Page 338-352, January 2026.
Cities are getting hotter because of climate change and urban development, increasing risks to health and well‐being. We analyzed how increasing urban tree canopy cover in city areas of 900 m2 can reduce land surface temperatures, using detailed aerial‐LiDAR and satellite data with Bayesian hierarchical models.
Ángel Ruiz‐Valero, Jaime Francisco Pereña‐Ortiz, Isidro Martín‐Lozano, Álvaro Cortés‐Molino, Pablo Cozano‐Pérez, Begoña Galindo‐Ruiz, Luis Alberto Díaz‐Galiano, Ángel Enrique Salvo‐Tierra   +7 more
wiley   +1 more source

Optimizing RWIS Locations with Wasserstein Distance and Geostatistics: A Case Study in South Korea

Future Transportation
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

The Flow Permanence Index: A Statistical Assessment of Flow Regime in Austin Streams [PDF]

, 2013
The report makes two explicit mentions of Waller Creek, briefly mentioning flow patterns and how they are highest near its mouth. In addition, the report contains valuable information concerning the importance of baseflow in the sustainability of a creek
Porras, Abel, Scoggins, Mateo
core   +1 more source