Results 31 to 40 of about 54,255 (262)
Measuring Sand Dune Migration Rates with COSI-Corr and Landsat: Opportunities and Challenges
It has been over a decade since COSI-Corr, the Co-Registration of Optically Sensed Images and Correlation, was first used to produce a raster map of sand dune movement, however, no studies have yet applied it to the full Landsat archive.
Thomas Baird +2 more
doaj +1 more source
2019 Ambon Aftershocks Catalogue Data Compiled Using Local and Regional Seismic Networks [PDF]
These Datasets present earthquake catalogs of the 2019 Ambon aftershocks compiled from the regional seismic networks of the Agency for Meteorology, Climatology, and Geophysics of Indonesia (BMKG) and the local network deployed by Institut Teknologi ...
Sahara, D
core +1 more source
Le patrimoine saharien tunisien au défi d’un tourisme durable : le cas de Tozeur et Nefta
En las ciudades saharianas del suroeste de Túnez, afamadas por su cultura, sus tradiciones y por un patrimonio arquitectónico muy particular, el turismo ha provocado estos últimos años un esfuerzo de reflexión en torno a la noción de patrimonio orientada
Najem Dhaher
doaj +1 more source
Orania, located in northwestern Algeria, is characterized by a diversified and fascinate geology. Ten geosites, namely Nedroma granite, Souk el Khemis Messinian Reef, Tadmaya Plateau Basalt Columns, Sassel Beach Messinian Stromatolites, Tafraoui Canyon ...
Mohammed Nadir Naimi, Amine Cherif
doaj +1 more source
The ORCA‐TWIN qCMOS Experiment I. Science Case and Commissioning at Calar Alto Observatory
ABSTRACT We describe a pilot study to explore a new generation of fast and low noise CMOS image sensors for time domain astronomy, using two remote telescopes with a baseline of 1635 km. The experiment involves direct imaging with novel qCMOS image sensor technology that combines fast readout with sub‐electron readout noise.
Martin M. Roth +20 more
wiley +1 more source
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem +3 more
wiley +1 more source
COVID-19 AWARENESS, KNOWLEDGE, AND PERCEPTION IN THE POPULATION OF PAKISTAN
Background: In 2020, the COVID-19 outbreak was intensifying, and a handful of confirmed cases in Pakistani citizens were recorded in the initial phases of the disease. During the whole nation's lockdown, this study evaluated Pakistanis' comprehension of
Muhammad Hammad Rasheed Baig +3 more
doaj +1 more source
Historical observations and bias‐corrected CMIP6 projections reveal intensifying warm extremes, declining cold events and increasingly irregular precipitation patterns across Morocco. Future warming, particularly under SSP5‐8.5, produces an almost linear amplification of heat, aridity and hydrological stress, leading to longer droughts and more intense
Oualid Hakam +4 more
wiley +1 more source
During the period 1901–2024, the dominant proportion of compound dry‐warm extremes in annual, June–July–August (JJA), and December–January–February (DJF) occurrences was the highest among the four types of compound precipitation and temperature extremes across global land areas, accounting for 40.1%, 50.3%, and 28.0%, respectively.
Ruting Yang +6 more
wiley +1 more source

