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Long-term spatial and temporal patterns of lake surface water extent in mainland Southeast Asia

Articolo
Data di Pubblicazione:
2025
Citazione:
Long-term spatial and temporal patterns of lake surface water extent in mainland Southeast Asia / Phoesri, Tatsaneewan; Shrestha, Sangam; Padedda, Bachisio Mario; Tripathi, Nitin Kumar; Das, Pratyush Kumar; Kongwarakom, Siwat; Virdis, Salvatore Gonario Pasquale. - In: JOURNAL OF HYDROLOGY. REGIONAL STUDIES. - ISSN 2214-5818. - 62:(2025), pp. 1-22. [10.1016/j.ejrh.2025.102913]
Abstract:
Study region
Lakes in Mainland Southeast Asia (SEA)
Study Focus
Lakes are sensitive indicators of climatic conditions, reflecting environmental shifts and offering insights into climate change impacts. This study investigated changes in lake surface water extent (LWE) across 651 lakes in mainland SEA, a region highly vulnerable to climate change. A 36-year monthly time series (1984–2019) of LWE derived from Global Surface Water products was used to map and analyze these changes. A semi-automated approach delineated and mapped LWE changes, producing three datasets: a discontinuous monthly LWE dataset (SEA-LWEun), a gap-filled continuous monthly LWE dataset (SEA-LWEgf), and a gap-filled, smoothed version (SEA-LWEsm).
New Hydrological Insights for the Region
The continuous datasets enabled detailed monthly and annual LWE analysis, including seasonal variation. Accuracy was assessed using RMSE, MAE, Bias, and NSE, with comparisons to global datasets. By addressing earlier discontinuities, this study improves regional LWE change assessments, revealing a net positive LWE change across SEA. Specifically, 192 lakes showed a significant average increase of 0.004 km²/year (total gain: 24.9 km²), while 127 lakes saw an average decrease of −0.002 km²/year (total loss: 10.8 km²). The SEA-LWE dataset, provided in GIS-ready vector format, fills key gaps in long-term hydrological data, advancing our understanding of climate variability’s impacts on LWE over the past three decades.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Lake Area Delineation, Time Series, Surface Water Dynamics, Seasonality, Remote Sensing, Mainland Southeast Asia
Elenco autori:
Phoesri, Tatsaneewan; Shrestha, Sangam; Padedda, Bachisio Mario; Tripathi, Nitin Kumar; Das, Pratyush Kumar; Kongwarakom, Siwat; Virdis, Salvatore Gonario Pasquale
Autori di Ateneo:
PADEDDA Bachisio Mario
Link alla scheda completa:
https://iris.uniss.it/handle/11388/372516
Pubblicato in:
JOURNAL OF HYDROLOGY. REGIONAL STUDIES
Journal
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URL

https://www.sciencedirect.com/science/article/pii/S2214581825007426?via=ihub
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