Cropping intensity mapping in Sentinel-2 and Landsat-8/9 remote sensing data using temporal transfer of a stacked ensemble machine learning model within google earth engine

Cropping intensity mapping in Sentinel-2 and Landsat-8/9 remote sensing data using temporal transfer of a stacked ensemble machine learning model within google earth engine

This article aimed to map Cropping Intensity Patterns (CIPs) in the southwest region of Iran using Google Earth Engine and monthly composites of Sentinel-2 and Landsat-8/9 data. To detect CIPs with high inter- and intra-class variability of crops, a heterogeneous Stack ensemble of machine learning m...

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Bibliographic Details
Main Authors: Marziyeh Majnoun Hosseini, Mohammad Javad Valadan Zoej, Alireza Taheri Dehkordi, Ebrahim Ghaderpour
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Geocarto International
Subjects:
Remote sensing
cropping intensity patterns
ensemble machine learning
optical satellite data
google earth engine
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2024.2387786
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https://www.tandfonline.com/doi/10.1080/10106049.2024.2387786

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