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Exploring complexity in the archaeological landscapes of monsoon Asia using lida...

Exploring complexity in the archaeological landscapes of monsoon Asia using lidar and deep learning Compelling evidence is now emerging that tropical environments were cradles of innovation and complexity from prehistory to the present. Tropical forests in particular have long been considered marginal and inhospitable, but recen... ver más

30/09/2024

EFEO

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

ECOLE FRANCAISE DEXTREMEORIENT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-09-30

ERC-2019-COG: ERC Consolidator Grant

I+D

Cerrada hace 5 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

EFEO

1.52M€ | Lider

NICOLAS CORREA

997.80K€ | Participante

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Duración del proyecto: 52 meses Fecha Inicio: 2020-05-07
Fecha Fin: 2024-09-30

Líder del proyecto

ECOLE FRANCAISE DEXTREMEORIENT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Compelling evidence is now emerging that tropical environments were cradles of innovation and complexity from prehistory to the present. Tropical forests in particular have long been considered marginal and inhospitable, but recent work suggests that several critical milestones were achieved in these landscapes. Vast expanses were terraformed by increasingly complex societies, often in a quest to mitigate the sharp seasonality of the monsoon. Ostensibly wild and pristine rainforests are now characterised as managed 'gardens'. The giant low-density settlement complexes of 'rainforest civilisations' anticipate the sprawling megacities of our contemporary world, and offer a laboratory for understanding the profound challenges that they create. To date, these emerging perspectives have largely been driven by advances in palaeobotany, archaeogenetics, isotopic analyses, and contemporary rainforest ecology. Remote sensing has so far played only a modest role in this broader agenda, in spite of the unique capability of lidar technology to 'strip away' vegetation and reveal archives of human activity inscribed in the Earth's surface. This program will tackle the core problems that currently constrain the 'lidar revolution' in archaeology: We will use a new generation of lidar technologies to greatly expand coverage in Southeast Asia, home to many of the most important and understudied rainforest landscapes. We will develop open access frameworks and infrastructures for aggregating, sharing and collaborating on new and existing lidar datasets. We will build on recent advances in artificial intelligence to develop generic models for automation and analysis, in order to move beyond localised, culturally-specific lidar applications. The net result of this work will be to create consistent, comparable datasets of human impacts on the Earth's surface, with a view to understanding trajectories of innovation and complexity in the tropical world from the deep past to the present.

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