Results 61 to 70 of about 9,305 (198)

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

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

Identification of Optimal Sampling Locations and Grid Size for Soil Moisture Mapping [PDF]

, 2004
The most robust site-specific management system is based in part on high quality maps of soil data. However, creating useful, accurate maps of soil information can be complicated by the natural variability of soil characteristics.
Hirschi, Michael, Kaleita, Amy, Kaleita, Amy, Tian, Lei   +3 more
core   +3 more sources

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

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

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

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

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

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