Results 171 to 180 of about 12,427 (266)

Floods From Space: How Remote Sensing, AI, and Cloud Platforms Are Reshaping Disaster Risk Reduction

Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.
ABSTRACT Flooding remains one of the most damaging climate‐related hazards globally, yet flood remote sensing has historically developed largely along sensor‐specific pathways. This review addresses the need for a systematic and decision‐oriented synthesis of how space‐borne remote sensing has evolved toward integrated flood monitoring and disaster ...
Ricky Anak Kemarau, Nurfashareena Muhamad, Aida Soraya Shamsuddin, Zulfaqar Sa'adi, Zaini Sakawi, Oliver Valentine Eboy, Nik Norliati Fitri Md Nor   +6 more
wiley   +1 more source

Beyond the Cuff: State-of-the-Art on Cuffless Blood Pressure Monitoring. [PDF]

Sensors (Basel)
Shafti Y, Hughes S, Taylor W, Imran MA, Owens D, Ansari S.   +5 more
europepmc   +1 more source

Rainfall Frequency Analysis to Estimate Probable Maximum Precipitation Using Stochastic Storm Transposition With Radar–Rain Gauge Data in Japan

Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.
ABSTRACT Reliable design precipitation estimation is vital for flood risk management and infrastructure design. In Japan, the Depth‐Area‐Duration (DAD) method is widely used for operational Probable Maximum Precipitation (PMP) estimation, but it lacks a probabilistic link to rainfall frequency and does not yield the spatiotemporal rainfall fields ...
Wasitha Dilshan, Yusuke Hiraga, Daniel B. Wright   +2 more
wiley   +1 more source

RustMAE: A Spatiotemporal Transformer for Short- to Medium-Term Warning of Wheat Stripe Rust Spring Spread. [PDF]

iScience
Zhang X, Wan X, Du Y, Li S.
europepmc   +1 more source

Harnessing Human Mobility Data for Applied Economic Research: Current Knowledge, Challenges, and Emerging Opportunities

Journal of Economic Surveys, Volume 40, Issue 4, Page 1763-1788, September 2026.
ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly, Sandro Steinbach, Mike Vo, Xibo Wan   +3 more
wiley   +1 more source

War as a Phenomenon of Inquiry in Management Studies

Journal of Management Studies, Volume 63, Issue 6, Page 2363-2397, September 2026.
Abstract We argue that war as a phenomenon deserves more focused attention in management. First, we highlight why war is an important and relevant area of inquiry for management scholars. We then integrate scattered conversations on war in management studies into a framework structured around three building blocks – (a) the nature of war from an ...
Fabrice Lumineau, Arne Keller
wiley   +1 more source

High-resolution landfill characterization using SAR remote sensing and cloud-based processing. [PDF]

Sci Rep
Agrawal S, Rakkasagi S, Goyal MK.
europepmc   +1 more source

How Change Recipients Become Rivals: Legitimacy Dynamics and ‘Cooptive Rejection’ in Organizational Change

Journal of Management Studies, Volume 63, Issue 6, Page 3317-3350, September 2026.
Abstract Our study challenges a commonly held assumption in the legitimacy and organizational change literatures: that the legitimacy of a change project is closely tied to, and dependent upon, the legitimacy of the change agent promoting it. Drawing on an in‐depth, three‐and‐a‐half‐year qualitative study of a major transformation within a French ...
Alaric Bourgoin, Alexis Laszczuk, Ann Langley   +2 more
wiley   +1 more source

A Novel Optimal Layout Method for Rain Gauge Network Based on Mutual Information Entropy and Deep Learning Model. [PDF]

Sensors (Basel)
Huang Y, Lu X, Luo H, Liu B, Wang R.
europepmc   +1 more source

Asynchronous Coupling Between China's Forest Canopy Structure and Belowground Biomass Carbon in the 21st Century

Land Degradation &Development, Volume 37, Issue 14, Page 10127-10146, 30 August 2026.
ABSTRACT The spatio‐temporal relationship between Forest Canopy Structure (FCS) and Belowground Biomass Carbon (BGBC) is fundamental to determining how optimizing spatial structure can maximize forest carbon‐sink potential in land management. However, the lidar data resolution over the space and time exists limitation, causing the coupling relationship
Chengyin Liu, Hongpeng Liu, Yan Xu, Yiyun Zhang, Chengyuan Wang, Yao Yao, Binyu Wang, Hairui Yu, Yuzhu Zhao, Mingze Li, Xuegang Mao   +10 more
wiley   +1 more source