High-quality vegetation index product generation: A review of NDVI time series reconstruction techniques

被引：168

作者：

Li, Shuang ^{[1
]}

Xu, Liang ^{[1
]}

Jing, Yinghong ^{[2
]}

Yin, Hang ^{[3
]}

Li, Xinghua ^{[1
]}

Guan, Xiaobin ^{[2
]}

机构：

[1] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China

[2] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China

[3] MNR, Inst Oceanog 3, Xiamen 361005, Peoples R China

来源：

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2021年 / 105卷

基金：

中国国家自然科学基金;

关键词：

NDVI time series; High-quality data; Reconstruction; Spatio-temporal; NOISE-REDUCTION TECHNIQUES; REMOTE-SENSING IMAGE; GLOBAL LAND-COVER; YIELD PREDICTION; HARMONIC-ANALYSIS; FILTERING METHOD; MISSING DATA; RIVER-BASIN; DATA SETS; MODIS;

D O I：

10.1016/j.jag.2021.102640

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Normalized difference vegetation index (NDVI) derived from satellites has been ubiquitously utilized in the field of remote sensing. Nevertheless, there are multitudinous contaminations in NDVI time series because of the atmospheric disturbance, cloud cover, sensor failure, and so on. It is crucial to remove the noises prior to further applications. Numerous techniques have been proposed to alleviate this issue in the last few decades. To the best of our knowledge, there hasn't been a systematical study to summarize and analyze the status of NDVI time series reconstruction techniques since 1980s. As a result, our goal is to recapitulate the current approaches for reconstructing high-quality NDVI time series, followed by an interpretation on the principle, merits and demerits of different kinds of methods. They were mainly classified into temporal-based methods, frequency-based methods and hybrid methods. The evaluation approaches on the quality of NDVI reconstruction were introduced, accompanied with the future development tendency.

引用

页数：18