Results 51 to 60 of about 2,881 (187)
ABSTRACT Landscape fragmentation may influence the spatial distribution and temporal variation of non‐point source (NPS) pollution by altering hydrological processes, pollutant transport pathways, and ecosystem service functions. However, under the combined effects of natural factors (e.g., precipitation, topography) and anthropogenic factors (e.g ...
Shilin Cai +5 more
wiley +1 more source
ABSTRACT Knowledge of the factors influencing the spatial distribution of farmland soil organic carbon (SOC) content contributes to a better understanding of human impacts on soil, which is crucial for improving soil quality and mitigating climate change.
Ke Quan, Xinguo Li, Xiangyu Ge
wiley +1 more source
Nonparametric Estimation of The Variogram an Application [PDF]
This Research Deals with Non Parametric Estimation of Variogram Function . As it is known The Variogram Function is Considered As a very Important Parameter in Investigating The Spatial Dependence for The Spatial Stochastic Process .The Non ...
Taha Yaseen H, Mohammed N.I.Qassim
doaj +1 more source
Abstract Headwater catchments provide essential water and nutrients to downstream ecosystems. The timing and evolution of their transport is shaped in part by the “invisible” subsurface structure but have been largely unexplored at the watershed scale.
Xueyuan Kang +5 more
wiley +1 more source
We used long‐term GPS tracking to quantify home‐range size and habitat selection of the endangered Red Goshawk across tropical savannas of northern Australia. Red Goshawks occupied extensive overall home ranges, with well‐defined core ranges centred on nest sites.
Christopher MacColl +5 more
wiley +1 more source
Post‐Event Ground Motion Estimation using Graph Neural Networks
Accurate ground motion (GM) estimates are essential for forensic analysis of structural damage following major earthquakes when direct recordings at the location(s) of interest are unavailable. Contemporary post‐event GM estimation methods often leverage nearby observations to constrain estimates of intensity measures (IMs); however, existing ...
Claudio Schill, Brendon A. Bradley
wiley +1 more source
Generalized product-sum variogram models of the data of the Center of Marine Research
Environmental data usually depends on both spatial and temporal components. Therefore, it is essential to have statistical models to describe how the data vary across space and time.
Ingrida Krūminienė +1 more
doaj +1 more source
New 2010 Maule Aftershock Catalog Reveals Structure of the Deep Subduction Interface
Abstract On 27 February 2010, a Mw 8.8 earthquake occurred near Maule in south‐central Chile. The subsequent rapid deployment of a dense network of seismic stations on land was able to capture the first year of its aftershock sequence. Here, we revisit this data set using picking Artificial Intelligence tools, a 3D velocity model of the region and ...
C. Chalumeau, A. Rietbrock
wiley +1 more source
Precision agriculture for coffee production requires spatial knowledge of crop yield. However, difficulties in implementation lie in low-sampled areas. In addition, the asynchronicity of this crop adds complexity to the modeling.
César de Oliveira Ferreira Silva +3 more
doaj +1 more source
Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA) contributes to the identification of meaningful objects. In fusing data from multiple sensors, the number of feature variables is increased and object identification becomes a challenging ...
Sachit Rajbhandari +4 more
doaj +1 more source

