Bibliometric Analysis of Spatial Technology for World Heritage: Application, Trend and Potential Paths DOI Creative Commons
Guolong Chen, Ruixia Yang, Xiangli Zhao

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(19), С. 4695 - 4695

Опубликована: Сен. 25, 2023

World heritage sites are monuments and natural landscapes recognised by all humanity as being of outstanding significance universal value. Spatial technology provides new ideas for the conservation sustainable development world sites. Using a bibliometric analysis, this study extracted 401 relevant documents from Web Science database 1990–2022. Meta information, such abstracts, keywords papers were cleaned using package analysed applications, partnerships trends existing spatial technologies The results show “4D” characteristics space in sites: (1) Development: applications have gradually developed with an annual growth rate 10.22% during period (2) Discrepancy: More than 70 per cent countries not been able to fully apply on ground at (3) Desirability: Shared exchanges between research institutions rare, more cooperation expected, especially transnationals. (4) Diversity: future outlook will be multidisciplinary, multi-method integrated research.

Язык: Английский

Applying a 1D Convolutional Neural Network in Flood Susceptibility Assessments—The Case of the Island of Euboea, Greece DOI Creative Commons
Paraskevas Tsangaratos, Ioanna Ilia, Aikaterini-Alexandra Chrysafi

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(14), С. 3471 - 3471

Опубликована: Июль 10, 2023

The main scope of the study is to evaluate prognostic accuracy a one-dimensional convolutional neural network model (1D-CNN), in flood susceptibility assessment, selected test site on island Euboea, Greece. Logistic regression (LR), Naïve Bayes (NB), gradient boosting (GB), and deep learning (DLNN) are benchmark models used compare their performance with that 1D-CNN model. Remote sensing (RS) techniques collect necessary related data, whereas thirteen flash-flood-related variables were as predictive variables, such elevation, slope, plan curvature, profile topographic wetness index, lithology, silt content, sand clay distance faults, river network. Weight Evidence method was applied calculate correlation among flood-related assign weight value each variable class. Regression analysis multi-collinearity assess collinearity Shapley Additive explanations rank features by importance. evaluation process involved estimating ability all via classification accuracy, sensitivity, specificity, area under success rate curves (AUC). outcomes confirmed provided higher (0.924), followed LR (0.904) DLNN (0.899). Overall, 1D-CNNs can be useful tools for analyzing using remote high predictions.

Язык: Английский

Процитировано

20

Bibliometric Analysis of Spatial Technology for World Heritage: Application, Trend and Potential Paths DOI Creative Commons
Guolong Chen, Ruixia Yang, Xiangli Zhao

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(19), С. 4695 - 4695

Опубликована: Сен. 25, 2023

World heritage sites are monuments and natural landscapes recognised by all humanity as being of outstanding significance universal value. Spatial technology provides new ideas for the conservation sustainable development world sites. Using a bibliometric analysis, this study extracted 401 relevant documents from Web Science database 1990–2022. Meta information, such abstracts, keywords papers were cleaned using package analysed applications, partnerships trends existing spatial technologies The results show “4D” characteristics space in sites: (1) Development: applications have gradually developed with an annual growth rate 10.22% during period (2) Discrepancy: More than 70 per cent countries not been able to fully apply on ground at (3) Desirability: Shared exchanges between research institutions rare, more cooperation expected, especially transnationals. (4) Diversity: future outlook will be multidisciplinary, multi-method integrated research.

Язык: Английский

Процитировано

5