A New Spatial Downscaling Method for Long-Term AVHRR NDVI by Multiscale Residual Convolutional Neural Network

A New Spatial Downscaling Method for Long-Term AVHRR NDVI by Multiscale Residual Convolutional Neural Network

Monitoring vegetation dynamics is essential for ecological processes, environmental changes, and natural resource protection. Fine-scale representation of vegetation indices is necessary for regions with complex topography and high diversity species. However, the advanced very-high-resolution radiom...

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Bibliographic Details
Main Authors: Mengmeng Sun, Xiang Zhao, Jiacheng Zhao, Naijing Liu, Siqing Zhao, Yinkun Guo, Wenxi Shi, Longping Si
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Advanced very-high-resolution radiometer (AVHRR) normalized difference vegetation index (NDVI)
diverse features
multiscale structure
residual block
Online Access:https://ieeexplore.ieee.org/document/10461008/

Internet

https://ieeexplore.ieee.org/document/10461008/

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