The reconstruction of abnormal segments in HJ-1A/B NDVI time series using MODIS: a statistical method-Reference-Cited by-同舟云学术

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The reconstruction of abnormal segments in HJ-1A/B NDVI time series using MODIS: a statistical method

Published:2014-11-26 Issue:23 Volume:35 Page:7991-8007
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Wang Yecheng¹,Liu Yongxue¹²,Li Manchun¹²,Tan Lu³

Affiliation:

1. Department of Geographic Information Science, Nanjing University, Nanjing, Jiangsu Province 210023, PR China

2. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, Jiangsu Province 210023, PR China

3. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, PR China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2014.978954

Reference33 articles.

1. Detecting long-duration cloud contamination in hyper-temporal NDVI imagery

2. Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring

3. On the relation between NDVI, fractional vegetation cover, and leaf area index

4. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter

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1. Damage Detection in Composite Materials Using Hyperspectral Imaging;Lecture Notes in Civil Engineering;2022-06-16

2. High-quality vegetation index product generation: A review of NDVI time series reconstruction techniques;International Journal of Applied Earth Observation and Geoinformation;2021-12

3. Multi-Year Mapping of Maize and Sunflower in Hetao Irrigation District of China with High Spatial and Temporal Resolution Vegetation Index Series;Remote Sensing;2017-08-18

4. Classification mapping and species identification of salt marshes based on a short-time interval NDVI time-series from HJ-1 optical imagery;International Journal of Applied Earth Observation and Geoinformation;2016-03

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