Results 51 to 60 of about 9,408 (217)
Study of the spatial variability of moisture and compaction in soils with different plant covers
Agronomía Colombiana, 2016 Soil is a dynamic system, with physical, chemical and biological properties that have high spatial variability, making necessary to use innovative methodologies to study this variability.
Lida Paola Pinzón-Gómez +2 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2021 Understanding the spatial variability of soil organic matter (SOM) is crucial for implementing precise land degradation control and fertilization to improve crop productivity.
Ping Yan +5 more
doaj +1 more source
Adaptive reconstruction of radar reflectivity in clutter-contaminated areas by accounting for the space-time variability [PDF]
, 2014 Identification and elimination of clutter is necessary for ensuring data quality in radar Quantitative Precipitation Estimates (QPE). For uncorrected scanning reflectivity after signal processing, the removed areas have been often reconstructed by ...
Berenguer Ferrer, Marc, Park, Shinju
core +2 more sources
Pre‐Fire Fuel Conditions Are Dominant Drivers of Burn Severity in the 2025 Los Angeles County Fires
AGU Advances, Volume 7, Issue 2, April 2026.Abstract In January 2025, some of the most destructive wildfires in California's history ignited across densely populated wildland‐urban interface regions in Los Angeles County. Given the increasing risk of intense wildfires and growth of wildland urban interface communities, improved characterization and monitoring of the drivers of high‐severity fire
M. Ward‐Baranyay +4 more
wiley +1 more source
Analysis of binary spatial data by quasi-likelihood estimating equations
, 2005 The goal of this paper is to describe the application of quasi-likelihood estimating equations for spatially correlated binary data. In this paper, a logistic function is used to model the marginal probability of binary responses in terms of parameters ...
Clayton, Murray K., Lin, Pei-Sheng
core +1 more source
Fast semivariogram computation using FPGA architectures
SPIE Proceedings, 2015 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
Functional Ecology, Volume 40, Issue 4, Page 983-1000, April 2026.Read the free Plain Language Summary for this article on the Journal blog. Abstract Organic phosphorus mineralization is a critical process in the phosphorus cycle, governing phosphorus bioavailability for plants. The PhoD gene, which encodes the key enzyme alkaline phosphatase, serves as a valuable biomarker for this process.
Sandhya Mishra +3 more
wiley +1 more source
Focal‐Feature Regression Kriging
Geographical Analysis, Volume 58, Issue 2, April 2026.ABSTRACT Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables.
Peng Luo, Yilong Wu, Yongze Song
wiley +1 more source
Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking
Environmetrics, Volume 37, Issue 2, March 2026.ABSTRACT Air pollution remains a major environmental risk factor that is often associated with adverse health outcomes. However, quantifying and evaluating its effects on human health is challenging due to the complex nature of exposure data. Recent technological advances have led to the collection of various indicators of air pollution at increasingly
Soumyakanti Pan, Sudipto Banerjee
wiley +1 more source
Ciência e AgrotecnologiaObject-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