Results 101 to 110 of about 6,130 (214)
Detecting Land Use Change Impacts on Streamflow by Combining Field Data and Water Balance Modelling
JAWRA Journal of the American Water Resources Association, Volume 62, Issue 3, June 2026.ABSTRACT Over the last half‐century, land use changes, including deforestation, urban sprawl, and open‐pit surface mining, have accelerated across the Susurluk Basin in northwestern Türkiye. This study analysed how land use changes, damming and mining activities affected basin hydrology using empirical and analytical methods and the process‐based Water
İsmail Bilal Peker +6 more
wiley +1 more source
Animal Conservation, Volume 29, Issue 3, Page 285-297, June 2026.The rapid expansion of wind energy across the Mediterranean region calls for more advanced tools to assess and mitigate its impacts on biodiversity. In this study, we present an innovative approach combining 13‐year satellite imagery analysis and ecological modelling, to assess the spatiotemporal overlap between wind energy development and habitat ...
Chiara Costantino +4 more
wiley +1 more source
Diversity and Distributions, Volume 32, Issue 6, June 2026.ABSTRACT Aim This study aimed to test the effectiveness of a hierarchical, spatially explicit, Bayesian modelling framework combining Integrated Nested Laplace Approximation (INLA) with Stochastic Partial Differential Equation (SPDE) as an alternative to traditional Species Distribution Models (SDMs), particularly in cases where standard assumptions ...
Marco Gargano +8 more
wiley +1 more source
Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.ABSTRACT In recent times, the development of algorithms to delineate water surface maps has significantly boosted flood monitoring and mitigation efforts by utilizing dual polarization, multi‐temporal Sentinel‐1 synthetic aperture radar (SAR) data. The Sentinel‐1 mission, with its global land monitoring capability, has been widely employed for SAR ...
Gautam Dadhich +5 more
wiley +1 more source
Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.ABSTRACT Global warming has intensified the atmospheric water cycle, leading to more frequent and severe extreme precipitation events, which are a major driver of rainstorm‐induced flooding. Developing regions such as the China–Pakistan economic corridor (CPEC), spanning highly heterogeneous terrain and climate zones, face elevated risk due to limited ...
Mengting Liu, Min Xu, Xingdong Li
wiley +1 more source
Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.ABSTRACT Floods are among the most frequent and damaging natural hazards in India, particularly affecting low‐lying urban areas in the eastern regions such as Cuttack, Odisha. This study aims to develop a flood hazard susceptibility map for the Cuttack district in Odisha, India, using a combined Analytical Hierarchy Process (AHP) and fuzzy logic ...
Siprarani Pradhan +3 more
wiley +1 more source
Transactions in GIS, Volume 30, Issue 4, June 2026.ABSTRACT Wildfire susceptibility mapping (WSM) is critical for forest management, land‐use planning, and disaster risk mitigation. Although hybrid artificial neural network (ANN) models optimized by metaheuristic algorithms are increasingly used in susceptibility mapping, they are often evaluated without strong machine learning benchmarks, spatially ...
Talha Taşkanat
wiley +1 more source
A quantitative procedure for building physiographic units supporting a global SOTER database
Hungarian Geographical Bulletin, 2010 Until recently, manual methods were used for delineating SOILSCAPE. The use of digital data sources, such as digital elevation models (DEM) and satellite data can speed up the completion of digital soil databases and improve the overall quality ...
Endre Dobos +2 more
doaj
Machine Learning Reveals Hidden Bias in ERA5 Cloud Heights Over Earth's Third Pole
Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.Abstract Accurate cloud base height (CBH) over the Tibetan Plateau—Earth's Third Pole—is essential for monsoon dynamics, glacial melt, and water security, yet ERA5 systematically underestimates it. Here, we present a two‐step machine learning framework to mitigate this hidden bias.
W. Zhao +9 more
wiley +1 more source
A First Attempt at Reconstructing FengYun‐4B Stratified Precipitable Water Using GNSS
Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.Abstract Layer Precipitable Water (LPW) characterizes the vertical structure of atmospheric moisture and is essential for accurate weather forecasts. China's FY‐4B satellite delivers near‐real‐time LPW products, but is constrained by large uncertainties.
Yuhao Wu +4 more
wiley +1 more source