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Daniele Codato

Researcher at University of Padua

Publications -  20
Citations -  116

Daniele Codato is an academic researcher from University of Padua. The author has contributed to research in topics: Amazon rainforest & Urban planning. The author has an hindex of 4, co-authored 17 publications receiving 47 citations.

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Oil production, biodiversity conservation and indigenous territories: Towards geographical criteria for unburnable carbon areas in the Amazon rainforest

TL;DR: In this article, the first Amazon-scale integrated spatial analysis was performed, quantifying interactions between oil operations, protected areas, and indigenous territories, and focusing on the issue of leaving fossil fuels untapped.
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Mapping and Monitoring Urban Environment through Sentinel-1 SAR Data: A Case Study in the Veneto Region (Italy)

TL;DR: Testing a methodology based on a semi-automatic approach able to extract the spatial extent of urban areas, referred to as “urban footprint”, from satellite data provides not only a reliable and useful support for strategic urban planning and monitoring, but also potentially identifies a solid organizational dataflow process to prepare geographic indicators that will help answering the needs of the 2030 Agenda.
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Biotope Area Factor: An Ecological Urban Index to Geovisualize Soil Sealing in Padua, Italy

TL;DR: In this paper, the authors estimate and geovisualize the soil sealed in the city of Padua (Italy) at a very detailed scale, testing the use of the Biotope Area Factor (BAF) index.
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Whose Urban Green? Mapping and Classifying Public and Private Green Spaces in Padua for Spatial Planning Policies

TL;DR: In this paper, a detailed global map of urban green spaces in Padua was created; then, binary classification and thematic maps for rural/non-rural, public/private, municipal/nonmunicipal greenery were produced for all urban units.
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Unburnable and Unleakable Carbon in Western Amazon: Using VIIRS Nightfire Data to Map Gas Flaring and Policy Compliance in the Yasuní Biosphere Reserve

TL;DR: In this article, the authors used the Visible Infrared Imaging Radiometer Suite (VIIRS) and developed a GIS-based novel simple method to identify new flaring sites from daily detections.