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TERRA-CD dataset launched for urban vegetation change detection

Researchers have introduced TERRA-CD, a new dataset designed for monitoring urban vegetation changes using satellite imagery. The dataset includes over 5,000 Sentinel-2 image pairs from 2019 and 2024, covering numerous cities in the USA and Europe. TERRA-CD offers multiple annotation schemes for land cover mapping and change detection, facilitating the evaluation of various deep learning models for environmental analysis. AI

影响 Provides a new benchmark dataset for evaluating deep learning models in remote sensing and environmental monitoring.

排序理由 The cluster describes a new academic dataset and associated research paper. [lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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TERRA-CD dataset launched for urban vegetation change detection

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  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    TERRA-CD: Multi-Temporal Framework for Multi-class and Semantic Change Detection

    Urban vegetation monitoring plays a vital role in understanding environmental changes, yet comprehensive datasets for this purpose remain limited. To address this gap, we present the Temporal Remote-sensing Repository for Analyzing Change Detection (TERRA-CD), a benchmark dataset…