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A spatiotemporal method for NDVI reconstruction based on differential smoothness

delete2026-05-25
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OA
AI
C
Chen Chen *
F
Fu Wang
T
Tiejian Li *
X
Xindong Yao
X
Xingyi Ou
B
Bellie Sivakumar
L
Li J
韩京成 cover
韩京成 (Jing‐Cheng Han)
Y
Yuantao Gu
J
Jiahua Wei
DOI:10.1016/j.ecoinf.2026.103856delete
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Abstract

Abstract

En 中文
• The TGSR method is proposed to reconstruct low-quality MODIS NDVI data. • It leverages a graph structure to model spatiotemporal dependencies in NDVI data. • It enhances spatial smoothness of temporal differences instead of NDVI values. • It outperforms the SG filter and ST-Tensor methods in accuracy and robustness. • It achieves high accuracy with as little as 15% of reliable NDVI observations.
Keywords:
Differential smoothness
Graph signal reconstruction
NDVI
Noise
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Ecological Informatics cover
Ecological Informatics
IF:
7.3
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3.7K
Citations:
1.3W

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T
tsinghua university
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I
indian institute of technology bombay
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807
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D
dongguan university of technology
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shenzhen university
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