Results 201 to 210 of about 22,166 (333)

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

Script de análisis en Google Earth Engine para biotelemetría satelital de águila real (Aquila chrysaetos canadensis) ID 121743, Aguascalientes–Sierra de Valparaíso, México (2014-2020)

Luis Felipe Lozano Roman
openalex   +1 more source

Image Classification Using Machine Learning Algorithms in Google Earth Engine Environment

, 2021
Paul TEODORESCU, Simona-Nicoleta Voicu
openalex   +1 more source

Strategic Prioritization of Environmental, Social, and Governance Goals: A Data‐Driven Efficiency Framework

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Organizations are increasingly required to integrate environmental, social, and governance (ESG) objectives alongside operational performance, yet empirical guidance on how firms should prioritize among ESG activities under resource constraints remains limited.
Minyoung Choi, Sangjin Park, Jae‐Suk Yang   +2 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

Real-time flood inundation monitoring in Capital of India using Google Earth Engine and Sentinel database

, 2023
Biswarup Rana
openalex   +2 more sources

A Study of High‐Emission Industries: How Policy, Strategy, and Technology Shape Corporate Social Responsibility Toward Carbon Neutrality

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The extant carbon neutrality (CN) literature largely offers macro‐ or meso‐level analyses, providing limited insights into implementation experiences that could inform granular policymaking and industry strategies. To address this gap, we examine the lived CN experiences of firms in the transportation, energy, manufacturing, and construction ...
Adeel Luqman, Shalini Talwar, Hawazen Almugren, Attila Kurucz, Enrico Battisti   +4 more
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