Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States

Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States

Geospatial datasets derived from remote sensing data by means of machine learning methods are often based on probabilistic outputs of abstract nature, which are difficult to translate into interpretable measures. For example, the Global Human Settlement Layer GHS-BUILT-S2 product reports the probabi...

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Bibliographic Details
Main Authors: Johannes H. Uhl, Stefan Leyk
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Global human settlement layer
Sentinel-2
Spatially explicit accuracy assessment
Explainable AI
Deep learning
Built-up areas
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223002935

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http://www.sciencedirect.com/science/article/pii/S1569843223002935

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