Results 11 to 20 of about 1,186,895 (272)

Estimation of Spring Maize Planting Dates in China Using the Environmental Similarity Method

open access: yesAgronomy, 2023
Global climate change is a serious threat to food and energy security. Crop growth modelling is an important tool for simulating crop food production and assisting in decision making. Planting date is one of the important model parameters.
Meiling Sheng   +5 more
doaj   +1 more source

Multivariable spatial prediction [PDF]

open access: yesMathematical Geology, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ver Hoef, Jay, Cressie, Noel A
openaire   +2 more sources

Time and Space Domain Prediction of Water Quality Parameters of Bagmati River Using Deep Learning Methods

open access: yesBibechana, 2023
Bagmati river is biologically, geologically, religiously and historically significant among the river systems of the Kathmandu Valley. The river is affected by five major tributaries, including Manohara, Dhobi Khola, Tukucha, Bishnumati, and Balkhu ...
Pujan Bashyal   +2 more
doaj   +1 more source

NONPARAMETRIC PREDICTION WITH SPATIAL DATA

open access: yesEconometric Theory, 2022
We describe a (nonparametric) prediction algorithm for spatial data, based on a canonical factorization of the spectral density function. We provide theoretical results showing that the predictor has desirable asymptotic properties. Finite sample performance is assessed in a Monte Carlo study that also compares our algorithm to a rival nonparametric ...
Gupta, Abhimanyu, Hidalgo, Javier
openaire   +4 more sources

Geospatial Least Squares Support Vector Regression Fused with Spatial Weight Matrix

open access: yesISPRS International Journal of Geo-Information, 2021
Due to the increasingly complex objects and massive information involved in spatial statistics analysis, least squares support vector regression (LS-SVR) with a good stability and high calculation speed is widely applied in regression problems of ...
Haiqi Wang   +6 more
doaj   +1 more source

REDS: Random ensemble deep spatial prediction

open access: yesEnvironmetrics, 2022
AbstractThere has been a great deal of recent interest in the development of spatial prediction algorithms for very large datasets and/or prediction domains. These methods have primarily been developed in the spatial statistics community, but there has been growing interest in the machine learning community for such methods, primarily driven by the ...
Ranadeep Daw, Christopher K. Wikle
openaire   +2 more sources

Application of machine learning and deep neural networks for spatial prediction of groundwater nitrate concentration to improve land use management practices

open access: yesFrontiers in Water, 2023
The prediction of groundwater nitrate concentration's response to geo-environmental and human-influenced factors is essential to better restore groundwater quality and improve land use management practices.
Divas Karimanzira   +5 more
doaj   +1 more source

In-Band Disparity Compensation for Multiview Image Compression and View Synthesis [PDF]

open access: yes, 2010
This paper presents a novel framework to achieve scalable multiview image compression and view synthesis. The open-loop wavelet-lifting scheme for geometric filtering has been exploited to achieve signal-to-noise ratio scalability and view-type ...
Anantrasirichai, N   +3 more
core   +2 more sources

Using the reflectance parameters as covariates of the organic matter content in fallow soils

open access: yesУчёные записки Казанского университета: Серия Естественные науки, 2022
This article estimates whether the reflectance parameters of air-dried (< 0.25 mm) soil samples in the visible and infrared (IR) spectral regions can be used as a covariate of the soil organic matter content (SOM) in old-arable horizons of fallows.
K.G. Giniyatullin   +5 more
doaj   +1 more source

Accurate Prediction of Earthquake-Induced Landslides Based on Deep Learning Considering Landslide Source Area

open access: yesRemote Sensing, 2021
An earthquake-induced landslide (EQIL) is a rapidly changing process occurring at the Earth’s surface that is strongly controlled by the earthquake in question and predisposing conditions.
Yao Li   +6 more
doaj   +1 more source

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