Results 131 to 140 of about 12,313 (249)

Machine learning-based country-level annual air pollutants exploration using Sentinel-5P and Google Earth Engine. [PDF]

Sci Rep, 2023
Halder B, Ahmadianfar I, Heddam S, Mussa ZH, Goliatt L, Tan ML, Sa'adi Z, Al-Khafaji Z, Al-Ansari N, Jawad AH, Yaseen ZM.   +10 more
europepmc   +1 more source

Industry 4.0‐Enabled Circular Economy: Empirical Evidence and Strategic Roadmap for Manufacturing and Service Sectors

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how Industry 4.0 (I4.0) technologies can strengthen circular economy (CE) implementation in manufacturing and service organizations. Although recent studies discuss CE–I4.0 integration, empirical evidence comparing sectors and mapping technologies to specific CE lifecycle stages remains limited.
Vikas Swarnakar, Than'a Anwer Khaleel Almazidah Alsaoudi, Malik Khalfan, Abdelrahman E. E. Eltoukhy, Adolf Akwei Acquaye   +4 more
wiley   +1 more source

Monitoring LULC dynamics and detecting transformation hotspots in sylhet, Bangladesh (2000-2023) using Google Earth Engine. [PDF]

Sci Rep
Nazmul Haque SM, Uddin MJ.
europepmc   +1 more source

Mapping of Land Cover with Optical Images, Supervised Algorithms, and Google Earth Engine. [PDF]

Sensors (Basel), 2022
Pech-May F, Aquino-Santos R, Rios-Toledo G, Posadas-Durán JPF.   +3 more
europepmc   +1 more source

Unraveling the Roles of Supply Chain Management and Resilience in Advancing Circular Economy: Empirical Evidence Using PLS‐SEM

Business Strategy and the Environment, EarlyView.
ABSTRACT In recent years, environmental concerns have reached critical levels, emphasizing e‐waste management as essential to mitigating resource depletion. However, existing literature lacks frameworks identifying the antecedents of a circular economy.
Pedro Senna, Lino G. Marujo, Julio César Ferro de Guimarães, Leonardo Mangia Rodrigues, Míriam Machado Fabris Mesquita   +4 more
wiley   +1 more source

Spatiotemporal Heterogeneity of Surface Soil Organic Carbon in China: Novel Insights from Interpretable Machine Learning Coupled with Google Earth Engine. [PDF]

ACS Environ Au
Sun Y, Ma J, Zhao W, Gou Z, Chen Y, Wang M.   +5 more
europepmc   +1 more source

Supply Chain Innovations for Food Waste and Loss: Systematic Literature Review and Future Research Agenda

Business Strategy and the Environment, EarlyView.
ABSTRACT Food waste and loss (FWL) remains a critical challenge across food supply chains (SCs) globally, with approximately one‐third of all food produced for human consumption discarded or lost each year. This study systematically reviews how supply chain innovation (SCI) can mitigate FWL.
Ilias Vlachos
wiley   +1 more source

Satellite imagery pre-processing and feature extraction for the mapping of coastal ecosystems using Google Earth Engine: A workflow for practitioners. [PDF]

MethodsX
Badruzzaman A, Wulandari P, Sainal S, Ashley M, Jobling S, Austen MC, Praptiwi RA.   +6 more
europepmc   +1 more source

Evaluation and prediction of water conservation of the Yellow river basin in Sichuan Province, China, based on Google Earth Engine and CA-Markov. [PDF]

Heliyon, 2023
Yang Z, Dai X, Lu H, Liu C, Nie R, Zhang M, Ma L, Li N, Liu T, He Y, Yang Z, Qu G, Li W, Wang Y.   +13 more
europepmc   +1 more source

Business and Biodiversity: Scaling Conservation Enterprises Within and Beyond Place for Transformative Change

Business Strategy and the Environment, EarlyView.
ABSTRACT Transformative change is required to address persistent and systemic drivers of biodiversity loss. There is an urgent need for innovative solutions that tackle root causes in place‐specific contexts. Evidence indicates that small, innovative, purpose‐driven businesses can serve as vehicles for developing place‐based solutions.
Shova Thapa Karki, Bradley D. Parrish
wiley   +1 more source