Results 71 to 80 of about 917,096 (229)

Detected Shifts Towards Drought‐Adaptive Strategies in the Amazon Forest Over the Last Four Decades

Global Change Biology, Volume 32, Issue 2, February 2026.
Amazon forests are facing hotter, drier conditions, and we used 40 years of satellite data to look for early signs of ecological change. Combining satellite observations with leaf measurements from more than 3000 trees, we show that many forests now show smaller dry‐season fluctuations in canopy colour—especially in the southern and eastern Amazon ...
Milton Barbosa, Renata A. Maia, Imma Oliveras Menor, Ben Hur Marimon Junior, Beatriz Schwantes Marimon, G. Wilson Fernandes, Yadvinder Malhi, Jesús Aguirre‐Gutiérrez   +7 more
wiley   +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

Response of Vegetation Greenness to Extreme Droughts and Possible Mechanisms in Guizhou Province, China

Ecology and Evolution, Volume 16, Issue 1, January 2026.
Spatiotemporal variations of the two drought events and the different response of vegetation NDVI to both events were investigated based on multiple data in Guizhou Province. The 2009–2010 drought exerted a inhibitory effect on vegetation growth, while the 2011 drought exhibited a milder impact, even demonstrating continued green growth amidst the dry ...
Chuncan Meng, Yingqing Cen, Xu Xue
wiley   +1 more source

Spatial Analysis of Carbon Monoxide Pollutant in Mashhad by Interpolation Method and Using Geographic Information System (GIS) during 2017-2018 [PDF]

Pizhūhish dar Bihdāsht-i Muḥīṭ., 2019
Background & objeftive: Carbon monoxide is a toxic gas and since it is colorless, odorless and tasteless, it often has no warning signs for people who are at risk of this pollutant.
sara GHolamhosein ghoochani, shabnam Hoshdar tehrani, Reza Esmaili   +2 more
doaj   +1 more source

Comparative Analysis of Selected Geostatistical Methods for Bottom Surface Modeling

Sensors, 2023
Digital bottom models are commonly used in many fields of human activity, such as navigation, harbor and offshore technologies, or environmental studies. In many cases, they are the basis for further analysis.
Patryk Biernacik, Witold Kazimierski, Marta Włodarczyk-Sielicka   +2 more
doaj   +1 more source

Advances in Kriging-Based Autonomous X-Ray Scattering Experiments. [PDF]

, 2020
Autonomous experimentation is an emerging paradigm for scientific discovery, wherein measurement instruments are augmented with decision-making algorithms, allowing them to autonomously explore parameter spaces of interest.
Doerk, Gregory S, Fukuto, Masafumi, Li, Ruipeng, Noack, Marcus M, Yager, Kevin G   +4 more
core  

Free‐access geospatial data and machine learning deliver high‐resolution soil salinity maps in the Sonoran Basin and Range

Vadose Zone Journal, Volume 25, Issue 1, January/February 2026.
Abstract Soil salinity is a serious threat to crop productivity and is anticipated to increase in the coming decades, particularly in semi‐arid to arid agricultural regions. Accessible geospatial data and data mining techniques can enable high‐resolution mapping of soil salinity to improve predictions and soil management.
Milton Valencia‐Ortiz, Amanda J. Ashworth, Hans Edwin Winzeler, Joshua M. Blackstock, Marcelo Mancini, Rebecca L. Muenich, Phillip R. Owens   +6 more
wiley   +1 more source

Making and developing the digital elevation models by geostatistical methods

Geodesy and Cartography, 2012
The methods for estimation of modelling and accuracy of digital elevation models were analysed. The methods for making raster elevation models were compared.
Algirdas Kumetaitis
doaj   +1 more source

A Computationally Efficient Stochastic Method for Quantifying the Effects of Multi‐Surrogate Model Uncertainty on Saltwater Remediation Optimization

Water Resources Research, Volume 62, Issue 1, January 2026.
Abstract Machine learning models are highly potential to substitute computationally intensive numerical simulation models in saltwater intrusion (SWI) remediation optimization. However, uncertainty inherent in machine learning models can propagate through predictions into optimization, resulting in inaccurate solutions.
Yulu Huang, Jina Yin, Chunhui Lu
wiley   +1 more source

Kriging Methodology for Uncertainty Quantification in Computational Electromagnetics

IEEE Open Journal of Antennas and Propagation
We present the implementation and use of the Kriging methodology, i.e., surrogate models based on Kriging interpolation, in uncertainty quantification (UQ) in computational electromagnetics (CEM).
Stephen Kasdorf, Jake J. Harmon, Branislav Notaros   +2 more
doaj   +1 more source