A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3g data

A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3g data

Long-term archives of remote sensing data hold values for identifying temporal changes occurring on the land surface. Moderate-spatial-resolution data acquired by sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) have proven useful in large-scale studies. The absence of such...

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Bibliographic Details
Main Authors: Zhicheng Zhang, Zhenhua Xiong, Xuewen Zhou, Kun Xiao, Wei Wu, Qinchuan Xin
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Ecological Indicators
Subjects:
Data reconstruction
Feature extraction
Time series
Sensor bias correction
Spatiotemporal fusion
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25001050
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