Results 161 to 170 of about 3,044 (284)

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

River Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source

Riparian Failure: Damming and Flow Stabilization Exclude Cottonwood Colonization Along a Dryland River

River Research and Applications, EarlyView.
ABSTRACT The Marias River flows from Glacier National Park through northcentral Montana, and into the Missouri River. Annual flows gradually declined from 1902 to 2024 (~3.2%/decade) and the 1952 Tiber Dam and Lake Elwell reservoir were operated to attenuate peak flows and stabilize downstream flows year‐round.
Stewart B. Rood, Lori A. Goater
wiley   +1 more source

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

Remote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román, Tong Qiu, Fernando T. Maestre, Elizabeth A. La Rue, Sergio Vargas Zesati, Anthony Schaefer, Ryan V. Trexler, Nicole Pietrasiak, Estelle Couradeau   +8 more
wiley   +1 more source

Implications of snowmelt and rainfall erosion effects for soil organic carbon management in semi-arid alpine ecosystems: a case study of the qilian mountains, China. [PDF]

Carbon Balance Manag
Liu Z, Si J, Xiao S, Jia B, Zhou D, Zhu X, Bai X, Wang B, Ndayambaza B.   +8 more
europepmc   +1 more source

Soil erosion responses to climate change in a tropical monsoon‐dominated river basin ‐ A geospatial perspective

River, EarlyView.
Climate change is projected to intensify soil erosion in the Chalakkudy River Basin, with bare lands and steep uplands emerging as the most vulnerable hotspots under high‐emission scenarios. Forested areas showed greater resistance to soil erosion, highlighting the importance of targeted soil conservation for sustainable watershed management in ...
Sisira Uppengal, Anu David Raj, Balakrishnan Padmavathi, P. O. Nameer, Jayapal Gopalan Nair   +4 more
wiley   +1 more source

Isolation, Insularity and Resilience: A Review of the Geophysical, Socioeconomic, and Environmental Vulnerabilities of Gran Canaria and Lesvos Islands for Policy Interventions to Global Change

Sustainable Development, EarlyView.
ABSTRACT The dynamic nature of small islands being geographically isolated and their perceived connectedness with global networks complicates research attempts to draw general conclusions on whether insularity leads to marginalization or strengthens their resilience for sustainable development.
Toheeb Lekan Jolaosho, Mazen Marouani, Takwa Boughanmi   +2 more
wiley   +1 more source

How Program‐ and Community‐Led Design Settings Affect Resilience Approaches to Sustainable Development Projects

Sustainable Development, EarlyView.
ABSTRACT Sustainable Development interventions must deal with rapid and novel changes affecting complex social‐ecological systems, calling for design based on a resilience approach. However, limited analytical attention has been paid to the design settings in which such approaches are deployed.
Yiheyis Maru, Deborah O'Connell, Nicola Grigg, Annette Cowie, Million Belay, Alice Ruhweza, Mark Stafford Smith   +6 more
wiley   +1 more source

Extent of sediment concentration trends associated with climate and human factors across global rivers. [PDF]

Sci Rep
Prajapati R, Gardner J, Prum P.
europepmc   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Towards estimates of future rainfall erosivity in Europe based on REDES and WorldClim datasets.

J Hydrol (Amst), 2017
Panagos P, Ballabio C, Meusburger K, Spinoni J, Alewell C, Borrelli P.   +5 more
europepmc   +1 more source