CNN Sensitivity Analysis for Land Cover Map Models Using Sparse and Heterogeneous Satellite Data DOI
Sebastián Moreno, Javier Lopatin,

Diego Corvalán

et al.

Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 63 - 77

Published: Nov. 16, 2024

Language: Английский

Attribution analysis of urban social resilience differences under rainstorm disaster impact: Insights from interpretable spatial machine learning framework DOI

Tianshun Gu,

Hongbo Zhao, Yue Li

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106029 - 106029

Published: Dec. 1, 2024

Language: Английский

Citations

7

Detecting Serbia’s Settlement Patterns: A Fuzzy Logic-Based Approach to Rural–Urban Area Delimitation for Spatial Planning DOI Creative Commons
Aleksandra Gajić, Nikola Krunić, Branko Protić

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 1981 - 1981

Published: Nov. 21, 2024

Over the past decades, numerous studies have attempted to capture heterogeneity of rural areas from different perspectives. Meanwhile, undergone various changes, primarily due urban pressure. Rejecting a dichotomous approach, majority focus exclusively on analysis either or areas, attempting demonstrate their diversity and propose method for delimitation. This study maps in Serbia. We present an approach rural–urban area delimitation that integrates comprehensive, multidimensional based fuzzy logic. Conducted settlement level, this applied highly recognizes types ranging urban. Based selected variables employing inference system, we extract distinctive features varying (0) (1). The results nuanced classification settlements completely In addition, such detects functional significance system. Therefore, it is possible identify forms (from periphery metropolitan areas). offers framework could be used spatial research planning defining rural/urban development strategies policies. provides valuable insights into prioritized support toward mitigating village loss improving sustainability. Our findings can contribute future zoning Serbia, monitoring decisions territorial levels.

Language: Английский

Citations

0

CNN Sensitivity Analysis for Land Cover Map Models Using Sparse and Heterogeneous Satellite Data DOI
Sebastián Moreno, Javier Lopatin,

Diego Corvalán

et al.

Lecture notes in computer science, Journal Year: 2024, Volume and Issue: unknown, P. 63 - 77

Published: Nov. 16, 2024

Language: Английский

Citations

0