Evaluation of the Geomorphon Approach for Extracting Troughs in Polygonal Patterned Ground Across Different Permafrost Environments DOI Creative Commons

Amin Wen,

Tonghua Wu, Xiaofan Zhu

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1040 - 1040

Published: March 16, 2025

As the climate continues to warm, thawing of ice-rich permafrost leads changes in polygonal patterned ground (PPG) landscape, exhibiting an array spatial heterogeneity trough patterns, governing stability and hydrological ecosystem dynamics. Developing accurate methods for detecting areas will allow us better understand where degradation PPG occurs. The Geomorphon approach is proven be a computationally efficient method that utilizes digital elevation models (DEMs) terrain classification across multiple scales. In this study, we firstly evaluate appliance algorithm mapping Prudhoe Bay (PB) Alaska Wudaoliang region (WDL) on central Qinghai–Tibet Plateau. We used optimized DEM resolution, flatness threshold (t), search radius (L) as input parameters Geomorphon. accuracy recognition was evaluated against hand-digitized troughs field measurements, using mean intersection over union (mIOU) F1 Score. By setting threshold, were detected values larger than 6. results show (i) lowest t value (0°) captured microtopograhy troughs, while L paired with resolution 50 cm diminished impact minor noise, improving detection; (ii) model produced maps high accuracy, achieving mIOU Scores 0.89 0.90 PB 0.84 0.87 WDL, respectively; (iii) compared boundaries, can derive heterogeneous features quantify PPG. comparing traditional indices classification, provides direct thus advancing scientific reproducibility comparisons WDL. This work valuable may propel future pan-Arctic studies mapping.

Language: Английский

Evaluation of the Geomorphon Approach for Extracting Troughs in Polygonal Patterned Ground Across Different Permafrost Environments DOI Creative Commons

Amin Wen,

Tonghua Wu, Xiaofan Zhu

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1040 - 1040

Published: March 16, 2025

As the climate continues to warm, thawing of ice-rich permafrost leads changes in polygonal patterned ground (PPG) landscape, exhibiting an array spatial heterogeneity trough patterns, governing stability and hydrological ecosystem dynamics. Developing accurate methods for detecting areas will allow us better understand where degradation PPG occurs. The Geomorphon approach is proven be a computationally efficient method that utilizes digital elevation models (DEMs) terrain classification across multiple scales. In this study, we firstly evaluate appliance algorithm mapping Prudhoe Bay (PB) Alaska Wudaoliang region (WDL) on central Qinghai–Tibet Plateau. We used optimized DEM resolution, flatness threshold (t), search radius (L) as input parameters Geomorphon. accuracy recognition was evaluated against hand-digitized troughs field measurements, using mean intersection over union (mIOU) F1 Score. By setting threshold, were detected values larger than 6. results show (i) lowest t value (0°) captured microtopograhy troughs, while L paired with resolution 50 cm diminished impact minor noise, improving detection; (ii) model produced maps high accuracy, achieving mIOU Scores 0.89 0.90 PB 0.84 0.87 WDL, respectively; (iii) compared boundaries, can derive heterogeneous features quantify PPG. comparing traditional indices classification, provides direct thus advancing scientific reproducibility comparisons WDL. This work valuable may propel future pan-Arctic studies mapping.

Language: Английский

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