Results 71 to 80 of about 9,305 (199)

Using Sentinel‐1 and Sentinel‐2 to assess the role of soil water content and vegetation cover in mitigating wind erosion in cultivated organic soil

Vadose Zone Journal, Volume 25, Issue 1, January/February 2026.
Abstract Wind erosion is a major threat to organic soils under intensive agriculture, reducing their productivity and long‐term sustainability. Up to 2.5 cm of soil can be lost in a single storm. This study examined how soil water content and vegetation cover influence wind erosion in cultivated organic soils of the Montérégie region, Quebec, using ...
Saba Daeichin, Jean Caron, Jacynthe Dessureault‐Rompré, Soumaila Kanga Idé, Diane Bulot   +4 more
wiley   +1 more source

Geostatistical Analysis for Spatially Referenced Roller-Integrated Compaction Measurements [PDF]

, 2010
An approach to quantify nonuniformity of compacted earth materials using spatially referenced roller-integrated compaction measurements and geostatistical analysis is discussed.
Morris, Max, Vennapusa, Pavana, White, David, White, David   +3 more
core   +3 more sources

Nitrogen rate influences on protein concentration, yield, and NDVI in spring wheat following pea and cover crop mixture

Agrosystems, Geosciences &Environment, Volume 8, Issue 4, December 2025.
Abstract High‐protein wheat (Triticum aestivum L.) grain is useful for bread flour, and normalized difference vegetation index (NDVI) can be useful in predicting crop yields and assessing overall crop health in response to a wide variety of management systems.
Drew A. Scott, David W. Archer, Holly Johnson, Michael DeGreef, Raina Hanley, Billi Jean Petermann   +5 more
wiley   +1 more source

Variabilidade espacial da agregação do solo avaliada pela geometria fractal e geoestatística Spatial variability of soil aggregation evaluated by fractal geometry and geostatistics

Revista Brasileira de Ciência do Solo, 2004
Este trabalho teve por objetivo explorar a aplicabilidade da teoria de fractais no estudo da variabilidade espacial em agregação de solo. A geometria de fractais tem sido proposta como um modelo para a distribuição de tamanho de partículas.
J. R. P. Carvalho, S. C. F. Dechen, G. Dufranc   +2 more
doaj   +1 more source

Compactly‐Supported Nonstationary Kernels for Computing Exact Gaussian Processes on Big Data

Environmetrics, Volume 36, Issue 8, December 2025.
ABSTRACT The Gaussian process (GP) is a widely used method for analyzing large‐scale data sets, including spatio‐temporal measurements of nonlinear processes that are now commonplace in the environmental sciences. Traditional implementations of GPs involve stationary kernels (also termed covariance functions) that limit their flexibility, and exact ...
Mark D. Risser, Marcus M. Noack, Hengrui Luo, Ronald J. Pandolfi   +3 more
wiley   +1 more source

Fractal dimension and geostatistical parameters for soil microrelief as a function of cumulative precipitation Parâmetros fractais e geoestatística do microrrelevo do solo em função de chuva acumulada

Scientia Agricola, 2010
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, Sidney Rosa Vieira, Isabella Clerici De Maria, Antonio Paz González   +3 more
doaj   +1 more source

Spatial Representativeness of MexFlux as a Regional FLUXNET Network

Journal of Geophysical Research: Biogeosciences, Volume 130, Issue 12, December 2025.
Abstract Environmental observatory networks are fundamental in advancing scientific understanding of biogeochemical processes. FLUXNET is a global network of regional eddy covariance networks that measure ecosystem‐scale exchanges of greenhouse gases (e.g., CO2, CH4, H2O) and energy between the biosphere and the atmosphere.
Rodrigo Vargas, Huong Le, Samuel Villarreal, M. Susana Alvarado‐Barrientos, Alejandro Cueva, Josue Delgado‐Balbuena, Dulce Flores‐Renteria, César Hinojo‐Hinojo, Mónica Cervantes‐Jiménez, Eli R. Pérez‐Ruiz, Zulia Sánchez‐Mejía, Tonantzin Tarin, Stephen H. Bullock, Alejandro E. Castellanos, Bernardo Figueroa‐Espinoza, Jaime Garatuza‐Payán, Friso Holwerda, Julio César Rodríguez, Nidia E. Rojas‐Robles, Jorge M. Uuh‐Sonda, Erik Velasco, Enrico A. Yépez   +21 more
wiley   +1 more source

Spatial analysis and prediction of Curonian lagoon data with Gstat

Mathematical Modelling and Analysis, 2004
The typical goal of geostatistical analysis is to interpolate values of variable under consideration at unobserved locations using data on observed locations because it is not feasible to gather all data of the observations in the study area.
R. Garška, I. Krūminiene
doaj   +1 more source

Transfer function-noise modeling and spatial interpolation to evaluate the risk of extreme (shallow) water-table levels in the Brazilian Cerrados [PDF]

Water regimes in the Brazilian Cerrados are sensitive to climatological disturbances and human intervention. The risk that critical water-table levels are exceeded over long periods of time can be estimated by applying stochastic methods in modeling the ...
Asmuth, J.R., von, Camara, G., Heuvelink, G.B.M., Knotters, M., Manzione, R.L.   +4 more
core   +2 more sources

Assessing Stream Network‐Scale Variability of Streambed Sediment Median Grain Size (d50): Integrating Field Surveys and Geostatistical Modeling

Water Resources Research, Volume 61, Issue 12, December 2025.
Abstract Understanding the spatial variation of streambed sediment median grain size (d50) is essential for understanding hydrological, geomorphological, and ecological processes, yet network‐scale patterns remain poorly characterized. Here we combined extensive field sampling (249 locations) with Digital Grain Size analysis and laboratory sieving to ...
Xiaobing Chen, Jie Yin, Yanzhong Li, Li Chen, Dong Chen   +4 more
wiley   +1 more source