Results 51 to 60 of about 5,570 (187)

Using Airborne Laser Scanning and Sentinel‐2 to Understand Subcanopy Light Regimes and Understory Diversity of Vascular Plants in Temperate Mountain Forests

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that not just Airborne Laser Scanning, but also Sentinel‐2 can effectively estimate absolute canopy cover and canopy cover heterogeneity ‐ structural metrics that determine the subcanopy light regime, found to be linked to the vascular plant species richness in the understory of temperate mountain forests.
Felix Wieland‐Glasmann, Cornelius Senf, Kristin H. Braziunas, Rupert Seidl, Peter Annighöfer   +4 more
wiley   +1 more source

Focal‐Feature Regression Kriging

Geographical Analysis
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
openaire   +1 more source

Prediction of spatial distribution characteristics of ecosystem functions based on a minimum data set of functional traits of desert plants

Frontiers in Plant Science, 2023
The relationship between plant functional traits and ecosystem function is a hot topic in current ecological research, and community-level traits based on individual plant functional traits play important roles in ecosystem function.
Yudong Chen, Yudong Chen, Yudong Chen, Jinlong Wang, Jinlong Wang, Jinlong Wang, Lamei Jiang, Lamei Jiang, Lamei Jiang, Hanpeng Li, Hanpeng Li, Hanpeng Li, Hengfang Wang, Hengfang Wang, Hengfang Wang, Guanghui Lv, Guanghui Lv, Guanghui Lv, Xiaotong Li, Xiaotong Li, Xiaotong Li   +20 more
doaj   +1 more source

Assessment of spatiotemporal trends in groundwater depth and salinity through GIS‐based geostatistical analysis: The case of Aksu Irrigation System in Antalya, Türkiye

River, EarlyView.
The study revealed that while groundwater depth trends were generally risk‐free, electrical conductivity showed localized risks in 38% of the Aksu Irrigation System. Overall, 25% of the area was classified as risky. The integrated GIS‐based approach provides a rapid, objective, and cost‐effective tool for precision water management. Abstract Continuous
Bekir Sitki Karatas, Bekir Cengil, Bilgehan Cetinkaya   +2 more
wiley   +1 more source

Kriging prior regression: A case for kriging-based spatial features with TabPFN in soil mapping

Computers and Electronics in Agriculture
Machine learning and geostatistics are two fundamentally different frameworks for predicting and spatially mapping soil properties. Geostatistics leverages the spatial structure of soil properties, while machine learning captures the relationship between available environmental features and soil properties.
Jonas Schmidinger, Viacheslav Barkov, Sebastian Vogel, Martin Atzmueller, Gerard B. M. Heuvelink   +4 more
openaire   +2 more sources

Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle

steel research international, EarlyView.
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen, Juhani Nissilä, Ville‐Valtteri Visuri, Aki Sorsa, Matias Hauru, Jouni Laurila, Toni Liedes   +6 more
wiley   +1 more source

Using NDVI and guided sampling to develop yield prediction maps of processing tomato crop

Spanish Journal of Agricultural Research, 2015
The use of yield prediction maps is an important tool for the delineation of within-field management zones. Vegetation indices based on crop reflectance are of potential use in the attainment of this objective.
Rafael Fortes, María H. Prieto, Abelardo García-Martín, Antón Córdoba, Carlos Campillo   +4 more
doaj   +1 more source

A Machine Learning Technique for Spatial Interpolation of Solar Radiation Observations

Earth and Space Science, 2021
This study applies statistical methods to interpolate missing values in a data set of radiative energy fluxes at the surface of Earth. We apply Random Forest (RF) and seven other conventional spatial interpolation models to a global Surface Solar ...
Thomas Leirvik, Menghan Yuan
doaj   +1 more source

Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images

Remote Sensing, 2022
Accurate estimation of forest above-ground biomass (AGB) is critical for assessing forest quality and carbon stocks, which can improve understanding of the vegetation growth processes and the global carbon cycle.
Fugen Jiang, Hua Sun, Erxue Chen, Tianhong Wang, Yaling Cao, Qingwang Liu   +5 more
doaj   +1 more source

Integrating multiple surveys using state–space models improves inference of population trends for Illinois furbearers

Wildlife Biology, EarlyView.
Long‐term population monitoring is fundamental to wildlife population management. Furbearer populations are often surveyed using multiple methods, but many estimates of their abundance, especially abundance indices, do not account for detection error, and lead to conflicting interpretations of population trends.
Lauren C. Scopel, Maximilian L. Allen, Thomas J. Benson, Craig A. Miller, Kirk W. Stodola   +4 more
wiley   +1 more source