Results 11 to 20 of about 176,248 (249)

AN IMPROVED TEMPERATURE SPATIAL INTERPOLATION METHOD FOR SPACEBORNE LIDAR ATMOSPHERIC CORRECTION [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
As one of the most important meteorological elements, temperature is an indispensable meteorological parameter for the atmospheric correction of spaceborne LiDAR ranging.
M. Zhou   +5 more
doaj   +1 more source

Investigation of Spatial Variation of Some Soil Properties Using Geostatistical Methods (Case study: Margon Town, Kohgiluyeh and Boyer-Ahmad Province, Iran) [PDF]

open access: yesمحیط زیست و مهندسی آب
The aim of this study was to investigate the spatial variation of some soil properties such as soil texture, organic carbon content, soil pH and electrical conductivity (EC) using geostatistical methods in Margon town, Kohgiluyeh and Boyer-Ahmad province,
Vali Behnam   +2 more
doaj   +1 more source

Comparison of Rain Erosivity Models (Factor R) Using Statistical Analysis [PDF]

open access: yesAnuário do Instituto de Geociências, 2018
Comparison of rain erosivity models (Factor R) using statistical analysis. Modeling natural systems contributes to the understanding of the landscape variations, associated to the potential of renewable resources and the natural environments fragilities.
Edwaldo Henrique Bazana Barbosa   +2 more
doaj   +1 more source

Mitigating Imbalance of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal Sample Weighting Schemes

open access: yesISPRS International Journal of Geo-Information, 2022
An open problem impeding the use of deep learning (DL) models for forecasting land cover (LC) changes is their bias toward persistent cells. By providing sample weights for model training, LC changes can be allocated greater influence in adjustments to ...
Alysha van Duynhoven   +1 more
doaj   +1 more source

Distance in spatial interpolation of daily rain gauge data [PDF]

open access: yes, 2005
Spatial interpolation of rain gauge data is important in forcing of hydrological simulations or evaluation of weather predictions, for example. The spatial density of available data sites is often changing with time.
Ahrens, Bodo
core   +3 more sources

Comparative study of interpolation methods for mapping soil pH in the apple orchards of Murree, Pakistan

open access: yesSoil & Environment, 2017
Soil pH is considered as a core indicator for nutrient bioavailability. Prevailing alkaline pH due to calcareousness in Pakistan is considered as one of the limiting factor for nutrient availability to plants.
Humair Ahmed   +3 more
doaj   +1 more source

Assessment of Inverse Distance Weighting and Local Polynomial Interpolation for Annual Rainfall: A Case Study in Peninsular Malaysia

open access: yesEngineering Proceedings, 2023
Rainfall data are crucial in hydrology models. In this study, the assessment of two spatial interpolation approaches of Inverse Distance Weighting (IDW) and Local Polynomial Interpolation (LPI) for rainfall in Peninsular Malaysia was conducted. The daily
Ren Jie Chin   +4 more
doaj   +1 more source

Damage localization map using electromechanical impedance spectrums and inverse distance weighting interpolation: Experimental validation on thin composite structures [PDF]

open access: yes, 2013
Piezoelectric sensors are widely used for structure health monitoring technique. In particular, electromechanical impedance techniques give simple and low-cost solutions for detecting damage in composite structures.
Cherrier, Olivier   +4 more
core   +3 more sources

Application of Geostatistics to Mineral Resource Modeling and Estimation: Case Study of Gofolo Hill Iron Ore Deposit, Western Liberia [PDF]

open access: yesGeoreview
Geostatistical methods are essential in accurate mineral resource estimation, as they account for spatial correlations and uncertainties. This study evaluates the mineral resource of the Gofolo Hill deposit in Western Liberia using the ordinary kriging ...
Leo KLAH-WILSON   +2 more
doaj   +1 more source

Comparison Between Deterministic and Stochastic Interpolation Methods for Predicting Ground Water Level in Baghdad [PDF]

open access: yesEngineering and Technology Journal, 2018
Surface interpolation techniques are usually used to create continuous data (i.e. raster data) from distributed set of point data over a geographical region.
Muammar Ali   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy