Multi-scale urban growth modeling using a multi-modal multi-kernel ConvLSTM: metropolitan learning and scenario-based forecasting of expansion and fragmentation

Figshare 2026 Dataset Open access

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Authors: Juyeong Nam, Changyeon Lee
DOI: 10.6084/m9.figshare.31494769
Cited by: 0

Abstract

Dataset and codes for a multi-modal multi-kernel convolution long short-term memory (MM-MK-ConvLSTM) model proposed by authors.

Fields of Study & Subjects

Land Use and Ecosystem Services Urban Design and Spatial Analysis Remote Sensing and Land Use

Publication details

Journal / source
Figshare
Publication date
4 March 2026
Language
EN
Document type
Dataset