Results 41 to 50 of about 7,767 (249)

Climatic Drivers of the Area Burned by Winter Wildfires in Northern Italy

open access: yesInternational Journal of Climatology, EarlyView.
This study investigates winter wildfires occurring between November and April in northern Italy over the period 2008–2022. By integrating high‐resolution burned‐area data with gridded climatic indices derived from 150 weather stations, it identifies spatial and temporal wildfire patterns, highlights the most fire‐prone mountain areas through pixel ...
Alice Baronetti   +2 more
wiley   +1 more source

Correcting the Smoothing Effect of Ordinary Kriging Estimates

open access: yesMathematical Geology, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Perbandingan Metode Interpolasi Spasial Ordinary Point Kriging dan Ordinary Block Kriging [PDF]

open access: yes, 2011
Data spasial pada umumnya berdasarkan peta yang berisikan interpretasi dan proyeksi seluruh fenomena yang berada di bumi. Data spasial diolah dalam Sistem Informasi Geografi (SIG) dan dapat digunakan untuk menjawab beberapa pertanyaan yang berhubungan ...
Susanawati, Dewi
core  

A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006

open access: yes, 2008
We present a European land-only daily high-resolution gridded data set for precipitation and minimum, maximum, and mean surface temperature for the period 1950–2006.
Jones, P. D.   +13 more
core   +1 more source

Evaluating Erosional Stability of Reconstructed Mine Landscapes Using Landform Evolution Models: Parameterisation and Decadal‐Scale Erosion Assessment

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Ensuring the long‐term erosional stability of post‐mining landforms remains a major challenge in open‐pit mining. Reconstructed landscapes must support the agreed post‐mining land use, such as cattle grazing in the Hunter region of southeastern Australia, requiring stable pasture and minimal soil loss.
I. P. Senanayake, G. R. Hancock
wiley   +1 more source

Sparse estimation in ordinary kriging for functional data

open access: yes, 2023
We introduce a sparse estimation in the ordinary kriging for functional data. The functional kriging predicts a feature given as a function at a location where the data are not observed by a linear combination of data observed at other locations. To estimate the weights of the linear combination, we apply the lasso-type regularization in minimizing the
Matsui, Hidetoshi, Yamakawa, Yuya
openaire   +2 more sources

Perbandingan Pendugaan Metode Ordinary Kriging Dan Metode Ordinary Kriging Dengan Teknik Jackknife (Studi Kasus Data Curah Hujan Di Malang Raya) [PDF]

open access: yes, 2018
Pada analisis spasial jika terdapat data yang memiliki distribusi tidak normal, maka akan menghasilkan prediksi yang kurang baik. Untuk mengatasi hal tersebut digunakan metode ordinary kriging dengan teknik jackknife. Dalam metode ordinary kriging dan
Rohma, Novia Nur
core  

Uncertainty, Sensitivity, and Efficiency Analysis of a Hybrid Piezoelectric–Electromagnetic Energy Harvester

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Digitalization and emerging technologies are increasing the demand for wireless sensing and the Internet of Things (IoT), which provide opportunities for autonomous sources of electricity in the form of energy harvesting systems. This paper focuses on the challenges in hybrid piezoelectric‐electromagnetic kinetic energy harvesting systems that
Petr Sosna, Damian Gaska, Zdeněk Hadaš
wiley   +1 more source

Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil [PDF]

open access: yesPesquisa Agropecuária Brasileira, 2016
The objective of this work was to compare ordinary kriging with regression kriging to map soil properties at different depths in a tropical dry forest area in Brazil.
Gustavo Mattos Vasques   +4 more
doaj   +2 more sources

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

open access: yesPolymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy