Results 181 to 190 of about 14,059 (272)

Application of Deep Learning and Rain‐On‐Grid Hydrodynamic Modeling for Catchment‐Scale Flood Forecasting in Guwahati, India

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT This study integrates deep learning‐based real‐time rainfall forecasting with hydrodynamic flood modeling to provide near real‐time predictions of urban flood inundation. The research focuses on urban Guwahati, a rapidly urbanizing city in Northeast India prone to recurrent pluvial flooding. A novel hybrid model, Multivariate Singular Spectrum
Shejule Priya Ashok, Sreeja Pekkat
wiley   +1 more source

The records from citizen science of an "endemic" agouti are not thoroughly evaluated nor examined. [PDF]

BMC Res Notes
Turcios-Casco MA, Schiavetti A, Teta P.
europepmc   +1 more source

Building‐Scale Flood Hazard Modelling for Risk Assessment of Cultural Heritage

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Flooding is among the most frequent natural hazards threatening cultural heritage sites, yet current flood hazard studies often operate at urban or regional scales. While building‐scale damage models exist, they generally rely on flood depth inputs from large‐scale inundation models, inputs that may fail to capture the internal complexity of ...
Chiara Arrighi, Claudia De Lucia, Fabio Castelli   +2 more
wiley   +1 more source

Georeferenced checklist and occurrence dataset of slime moulds (Eumycetozoa) across Central and Eastern Europe emphasising forest ecosystems. [PDF]

Biodivers Data J
Pawłowicz T.
europepmc   +1 more source

The Most Elusive Amazonian Mammal? Distribution, Survey, Ecology and Conservation of the Bushy‐Tailed Opossum Glironia venusta

Mammal Review, Volume 56, Issue 2, June 2026.
Integrating multiple data sources, we reveal a broader distribution for Glironia venusta and highlight how sampling strategies shape our understanding of rare arboreal mammals. ABSTRACT Introduction Arboreal and nocturnal mammals in the Amazon remain poorly understood due to low detectability and methodological limitations. Glironia venusta, one of the
Alexander Roldán Arévalo‐Sandi, Fernando Ferreira de Pinho, Andressa Bárbara Scabin, Fernando Trujillo, Maria Nazareth Ferreira da Silva, Wilson Roberto Spironello   +5 more
wiley   +1 more source

The Multi-Sensor and Multi-Temporal Dataset of Multiple Crops for In-Field Phenotyping and Monitoring. [PDF]

Sci Data
Chong YL, Krämer J, Chakhvashvili E, Marks E, Esser F, Dreier A, Rosu RA, Warstat K, Pude R, Behnke S, Muller O, Rascher U, Kuhlmann H, Stachniss C, Behley J, Klingbeil L.   +15 more
europepmc   +1 more source

Potential vectors of Leishmaniases in the Environmental Protection Area and Tinguá Federal Biological Reserve, Municipality of Nova Iguaçu, Rio de Janeiro, Brazil

Medical and Veterinary Entomology, Volume 40, Issue 2, Page 246-259, June 2026.
This study was to describe the composition of sand fly fauna, detect potential vectors of Leishmania spp. in the Tinguá district, an ATL endemic, Rio de Janeiro, Brazil. Seven species of vectorial importance in the epidemiological cycle of leishmaniasis was observed: Nyssomyia intermedia, Migonemyia migonei, Pintomyia fischeri, Psychodopygus hirsutus ...
Antônio L. F. Santana, Alfredo C. R. Azevedo, Margarete M. S. Afonso, Bruno M. Carvalho, Vanessa R. Vieira, Simone M. Costa, Júlia S. Silva, Thais A. Pereira, Daniela P. Pereira, Maurício L. Vilela   +9 more
wiley   +1 more source

Terrestrial and Airborne Laser Scanning Dataset of Trees in the Shivalik Range, India with Field Measurements and Leaf-Wood Classifications. [PDF]

Sci Data
Ali M, Biswas A, Iglseder A, Kumar V, Kumar S, Gupta S, Hollaus M, Pfeifer N, Lohani B.   +8 more
europepmc   +1 more source

Assessing the Impact of Spatial Resolution and Hyperparameters on Automatic Agricultural Parcel Delineation Using the Segment Anything Model With Multi‐Resolution and Super‐Resolved Satellite Imagery

Transactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Accurate and automatic determination of the boundaries of agricultural parcels is essential for planning sustainable agricultural policies, managing agricultural production, tracking products and enabling precision farming applications. In recent years, pre‐trained visual base models with zero‐shot segmentation capabilities, such as the ...
Fatih Fehmi Şimşek, Melih Altay, Kaan Kalkan, Mehmet Cengiz Arslanoğlu   +3 more
wiley   +1 more source

Population georeferencing in England and Wales: basic spatial units reconsidered

In this paper the concern is with the increasing number of methods which are available for the georeferencing of population and socioeconomic data. The majority of routine users of such data will tend to treat georeferencing of a transparent process, and
G Higgs, D Martin
core