Results 91 to 100 of about 13,133 (266)

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

Land Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source

Eroding Confidence in Gully Location Risk Prediction in Mine Pit Rehabilitation

Land Degradation &Development, EarlyView.
ABSTRACT Understanding how rehabilitation measures, such as landform shaping, and surface finishes impact gully erosion risk could assist in designing less erosive rehabilitation. In this study we use high resolution digital elevation models of rehabilitated mine pits to explore risk factors for gully formation.
Eve McCallum, Cameron Blackburn, Monte Masarei, Andrew Guzzomi, Sally Thompson   +4 more
wiley   +1 more source

Data Assimilation of High-Resolution Thermal and Radar Remote Sensing Retrievals for Soil Moisture Monitoring in a Drip-Irrigated Vineyard. [PDF]

Remote Sens Environ, 2020
Lei F, Crow WT, Kustas WP, Dong J, Yang Y, Knipper KR, Anderson MC, Gao F, Notarnicola C, Greifeneder F, McKee LM, Alfieri JG, Hain C, Dokoozlian N.   +13 more
europepmc   +1 more source

An Open Database of Lunar Regolith and Simulants Properties

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Lunar regolith, the layer of unconsolidated material covering the Moon's surface, is central to the science and technology developed for the Moon, notably related to in‐situ science investigations, resource utilization, surface infrastructure, and mobility systems.
Léonie Gasteiner, Naomi Murdoch, Olfa D'Angelo   +2 more
wiley   +1 more source

Digital surveillance of animals and nature recovery

People and Nature, EarlyView.
Abstract Digital surveillance technologies (DSTs) are widely applied in nature recovery for their potential to generate novel data on species and ecosystems through digital tracking, automation (e.g. from hazardous locations) and from newly recruited citizen scientists.
William M. Adams
wiley   +1 more source

A Fast Back‐Projection Imaging Method for GEO SAR Geometric Distortion Calibration Based on Dynamic Selection of Local Sub‐Aperture Images Using Coarse DEM

IET Radar, Sonar & Navigation
Geosynchronous synthetic aperture radar (GEO SAR) provides extensive beam coverage and strong continuous observation capabilities, making it a research focus in the remote sensing.
Jingjing Ti, Zhiyong Suo, Bingji Zhao, Jiabao Xi   +3 more
doaj   +1 more source

Digital fire technologies and community networks: Cultivating just sociotechnical practices for living with planetary change

People and Nature, EarlyView.
Abstract Fires are expanding in frequency and intensity worldwide due to climate change and land‐use transformations. At the same time, fire often plays a regenerative role in ecosystems. Traditional and cultural practices incorporate fire use for landscape management and landscape renewal. In this complex matrix of fire ecologies, digital technologies
Jennifer Gabrys, Paula Tiara Torres, Pablo González Rivas   +2 more
wiley   +1 more source

Automatic insect identification, counting, and monitoring techniques: a review

Pest Management Science, EarlyView.
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García, Juan Carlos Noguera Polania, Rosana González Combarros, José Ignacio López Sánchez   +3 more
wiley   +1 more source

The evaluation of boundary‐layer turbulence in high‐resolution numerical weather prediction simulations using Doppler lidar

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A new method compares both kilometer and sub‐kilometre weather model simulations with Doppler lidar observations to assess the representation of boundary‐layer turbulence. While bulk boundary‐layer properties are well represented, vertical velocity variance is strongly underestimated in both simulations.
Natalie J. Harvey, Helen F. Dacre, Kirsty E. Hanley, Humphrey W. Lean, Christopher J. Walden, Michael Baidu, Steven Boeing, Andrew N. Ross   +7 more
wiley   +1 more source