Results 41 to 50 of about 5,604 (198)

Integrating Logistic Regression and Geostatistics for User-Oriented and Uncertainty-Informed Accuracy Characterization in Remotely-Sensed Land Cover Change Information

ISPRS International Journal of Geo-Information, 2016
Accuracy is increasingly recognized as an important dimension in geospatial information and analyses. A strategy well suited for map users who usually have limited information about map lineages is proposed for location-specific characterization of ...
Jingxiong Zhang, Yingying Mei
doaj   +1 more source

Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture

Remote Sensing, 2020
Land Surface Models (LSM) have become indispensable tools to quantify water and nutrient fluxes in support of land management strategies or the prediction of climate change impacts. However, the utilization of LSM requires soil and vegetation parameters,
Philip Marzahn, Swen Meyer
doaj   +1 more source

Estimates of woody biomass and mixed effects improve isoscape predictions across a northern mixed forest

Frontiers in Ecology and Evolution, 2023
Contemporary methods used to predict isotopic variation at regional scales have yet to include underlying distributions of the abundance of isotopic substrates.
John L. Berini, John L. Berini, Bryan Runck, Jody Vogeler, David L. Fox, James D. Forester, James D. Forester   +6 more
doaj   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Subsurface Geological Profile Interpolation Using a Fractional Kriging Method Enhanced by Random Forest Regression

Fractal and Fractional
Analyzing geological profiles is of great importance for various applications such as natural resource management, environmental assessment, and mining engineering projects.
Qile Ding, Yiren Wang, Yu Zheng, Fengyang Wang, Shudong Zhou, Donghui Pan, Yuchun Xiong, Yi Zhang   +7 more
doaj   +1 more source

Soluble phosphorus content of Lake Balaton sediments

Journal of Maps, 2022
Lake Balaton has undergone rapid eutrophication in the last decades causing dramatic deterioration in water quality. Although water quality has been successfully improved, significant algal blooms have been experienced over the past years again.
Mihály Kocsis, Gábor Szatmári, Piroska Kassai, Gábor Kovács, János Tóth, Tamás Krámer, Péter Torma, Krisztián Homoródi, Piroska Pomogyi, Péter Szeglet, Kálmán Csermák, András Makó   +11 more
doaj   +1 more source

Exponentially‐constrained Gaussian mixture model for quantifying vertical development of water‐conducting fracture zones in lithologically stratified mining roofs

Deep Underground Science and Engineering, EarlyView.
This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan, Zhimin Xu, Weixiao Chen, Chenghang Zhang, Shijie Xiong, Yajun Sun   +5 more
wiley   +1 more source

PERBANDINGAN METODE MULTIPLE LINEAR REGRESSION (MLR) DAN REGRESSION KRIGING (RK) DALAM PEMETAAN KETEBALAN TANAH DIGITAL

JTSL (Jurnal Tanah dan Sumberdaya Lahan), 2023
Soil thickness has a significant influence on many of earth surface processes, and it can be mapped using various methods. Digital soil mapping can be used to estimate the spatial distribution of soil thickness and can estimate the uncertainty of the ...
Muhammad Fauzan Ramadhan, Guruh Samodra, Muhammad Rizky Shidiq Nugraha, Djati Mardiatno   +3 more
doaj   +1 more source

Spatio-temporal regression kriging for modelling urban NO₂ concentrations [PDF]

International Journal of Geographical Information Science, 2019
Recently developed urban air quality sensor networks are used to monitor air pollutant concentrations at a fine spatial and temporal resolution. The measurements are however limited to point support. To obtain areal coverage in space and time, interpolation is required.
Vera van Zoest, Frank B. Osei, Gerard Hoek, Alfred Stein   +3 more
openaire   +2 more sources