Results 181 to 190 of about 31,616 (238)

Road expansion risk predicts future hotspots of tropical deforestation. [PDF]

Proc Natl Acad Sci U S A
Engert JE, Souza CM, Kleinschroth F, Ishida FY, Costa SP, Botelho J, Laurance WF.   +6 more
europepmc   +1 more source

Meander‐Bend Erosion Dynamics Along a Gravel‐Bed River: Insights From Short‐Term UAV Monitoring

River Research and Applications, EarlyView.
ABSTRACT Riverbank erosion is a natural process in meandering rivers that contributes to sediment supply and geomorphic diversity, yet it can threaten infrastructure and human activities within the floodplain. Recently, many studies have used high‐resolution remote sensing technologies to measure bank erosion, but they often focus on technical aspects ...
Katarina Pavlek, Mateo Gašparović, Tomáš Galia   +2 more
wiley   +1 more source

When crops fail, forests follow: Agricultural shocks and deforestation in Zambia. [PDF]

Proc Natl Acad Sci U S A
Ordóñez PJ, Hadunka P, Del Rossi G, Baylis K.   +3 more
europepmc   +1 more source

Assessing Spatial Riverbed Clogging and Its Dynamics at the Reach Scale: A Coupled Approach Combining Field Measurements and 1D Hydro‐Sedimentary Numerical Modeling

River Research and Applications, EarlyView.
ABSTRACT Assessing spatial and temporal variability of clogging in gravel‐bed rivers is challenging because field methods typically rely on labor‐intensive measurements of fine‐sediment content, porosity, or hydraulic conductivity. Clogging is also highly dynamic, driven by hydro‐sedimentary conditions; yet few studies have examined it at large scales ...
D. Hernandez, B. Camenen, A. Bonnefoy
wiley   +1 more source

Forensic Hydraulic Analysis of Floodplain Connectivity Driven by Historical Beaver Dams in Colorado Headwater Streams

River Research and Applications, EarlyView.
ABSTRACT As ecosystem engineers, beavers (Castor canadensis) modify river corridor form through dam building. When beavers are removed from a river corridor, their unmaintained dams wash out, altering the stream's hydrologic regime. The assumption that beaver dams increase floodplain connectivity is frequently presumed but has not been directly ...
Kayla Schultz, Ryan R. Morrison, Sara Rathburn, Connor Mertz, Nicholas Christensen   +4 more
wiley   +1 more source

Spatiotemporal patterns of acute paracoccidioidomycosis hospitalizations in Brazil, 2014-2023. [PDF]

Rev Inst Med Trop Sao Paulo
Gadêlha MC, Leandro GCW, Ferreira DG, Dutra AC, Hahn RC, Andrade L, Negri M.   +6 more
europepmc   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

Evaluation of the insecticide custody chain and its relationship with malaria burden in the Brazilian Amazon: a process and exploratory impact assessment (2019-2023) [PDF]

Mem Inst Oswaldo Cruz
Dourado ML, Silva RAE, Castro MC, Peterka CRL, Kluge CR, Castro D, Lima JBP.   +6 more
europepmc   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source