Log In Sign Up

A Google Earth Engine-enabled Python approach to improve identification of anthropogenic palaeo-landscape features

by   Filippo Brandolini, et al.

The necessity of sustainable development for landscapes has emerged as an important theme in recent decades. Current methods take a holistic approach to landscape heritage and promote an interdisciplinary dialogue to facilitate complementary landscape management strategies. With the socio-economic values of the natural and cultural landscape heritage increasingly recognised worldwide, remote sensing tools are being used more and more to facilitate the recording and management of landscape heritage. Satellite remote sensing technologies have enabled significant improvements in landscape research. The advent of the cloud-based platform of Google Earth Engine has allowed the rapid exploration and processing of satellite imagery such as the Landsat and Copernicus Sentinel datasets. In this paper, the use of Sentinel-2 satellite data in the identification of palaeo-riverscape features has been assessed in the Po Plain, selected because it is characterized by human exploitation since the Mid-Holocene. A multi-temporal approach has been adopted to investigate the potential of satellite imagery to detect buried hydrological and anthropogenic features along with Spectral Index and Spectral Decomposition analysis. This research represents one of the first applications of the GEE Python API in landscape studies. The complete FOSS-cloud protocol proposed here consists of a Python code script developed in Google Colab which could be simply adapted and replicated in different areas of the world


page 24

page 25

page 26

page 27

page 28

page 29

page 30

page 31


Comparative analysis of common edge detection techniques in context of object extraction

Edges characterize boundaries and are therefore a problem of practical i...

Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep neural network

Google Earth Engine (GEE) provides a convenient platform for application...

Why is a Ravencoin Like a TokenDesk? An Exploration of Code Diversity in the Cryptocurrency Landscape

Interest in cryptocurrencies has skyrocketed since their introduction a ...

Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery

Illegal wildlife poaching is driving the loss of biodiversity. To combat...

Measuring economic activity from space: a case study using flying airplanes and COVID-19

This work introduces a novel solution to measure economic activity throu...

Geoglyphs of Titicaca as an ancient example of graphic design

The paper proposes an ancient landscape design as an example of graphic ...

Cloud technologies as a tool of creating Earth Remote Sensing educational resources

This article is dedicated to the Earth Remote Sensing (ERS), which the a...