Emil Cherrington
Dados Biográficos
| ID | 6272006 |
|---|---|
| NOME | Emil Cherrington |
| PRENOMES | Emil |
| SOBRENOME | Cherrington |
| ASSINATURA | CHERRINGTON E |
| AFILIAÇÕES | University of Alabama in Huntsville |
| ORCID | 0000-0003-0524-4744 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2023 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 1 |
Using economic methods to assess impacts of earth observation-based services
Earth Observations (EO) are increasingly recognized for advancing scientific understanding and providing critical data for decision-making in environmental monitoring, risk management, and resource allocation. Yet, the social and economic impacts of EO-based services, particularly in the international development context, are still largely unexplored. This paper addresses this gap by presenting economic methods for assessing the impact of EO serv…
Google Earth Engine for archaeologists
A wealth of remotely sensed data has accumulated over the past several decades and now constitutes an analytical resource primed for archaeological applications. To date, remotely sensed big data (RSBD) analytics in archaeology have focused on filling spatial gaps in the distribution of sites and features, characterizing environmental landscapes, and monitoring cultural heritage sites. The scientific promise of these data to expand our understand…
Google Earth Engine for archaeologists
A wealth of remotely sensed data has accumulated over the past several decades and now constitutes an analytical resource primed for archaeological applications. To date, remotely sensed big data (RSBD) analytics in archaeology have focused on filling spatial gaps in the distribution of sites and features, characterizing environmental landscapes, and monitoring cultural heritage sites. The scientific promise of these data to expand our understand…
Google Earth Engine for archaeologists
A wealth of remotely sensed data has accumulated over the past several decades and now constitutes an analytical resource primed for archaeological applications. To date, remotely sensed big data (RSBD) analytics in archaeology have focused on filling spatial gaps in the distribution of sites and features, characterizing environmental landscapes, and monitoring cultural heritage sites. The scientific promise of these data to expand our understand…
Using economic methods to assess impacts of earth observation-based services
Earth Observations (EO) are increasingly recognized for advancing scientific understanding and providing critical data for decision-making in environmental monitoring, risk management, and resource allocation. Yet, the social and economic impacts of EO-based services, particularly in the international development context, are still largely unexplored. This paper addresses this gap by presenting economic methods for assessing the impact of EO serv…
3D Surveying and Cultural Heritage (1 obras) · Aerospace Engineering (1 obras) · Analytics (1 obras) · Archaeological Research and Protection (1 obras) · Archaeology (1 obras) · Atmospheric and Environmental Gas Dynamics (1 obras) · Big data (1 obras) · Business (1 obras) · Citizen science (1 obras) · Cloud computing (1 obras)