The FIRST model: Spatiotemporal fusion incorrporting spectral autocorrelation-Reference-Cited by-同舟云学术

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The FIRST model: Spatiotemporal fusion incorrporting spectral autocorrelation

Published:2022-09 Issue: Volume:279 Page:113111
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Liu Shuaijun,Zhou Junxiong,Qiu Yuean,Chen Jin,Zhu Xiaolin,Chen Hui

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference41 articles.

1. Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region;Astola;Remote Sens. Environ.,2019

2. Leaf aging of Amazonian canopy trees as revealed by spectral and physiochemical measurements;Chavana-Bryant;New Phytol.,2017

3. A quantitative analysis of virtual endmembers’ increased impact on the collinearity effect in spectral unmixing;Chen;IEEE Trans. Geosci. Remote Sens.,2011

4. Comparison of spatiotemporal fusion models: a review;Chen;Remote Sens.,2015

5. A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter;Chen;ISPRS J. Photogramm. Remote Sens.,2021

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4. Comparison of change-based and shape-based data fusion methods in fine-resolution land surface phenology monitoring with Landsat and Sentinel-2 data;Science of The Total Environment;2024-06

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