Fusion of Optical and SAR Images Via NDVI-Like Images to Reconstruct NDVI Time Series in Cloud-Prone Regions-Reference-Cited by-同舟云学术

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Fusion of Optical and SAR Images Via NDVI-Like Images to Reconstruct NDVI Time Series in Cloud-Prone Regions

Published:2024-07-07 Issue: Volume: Page:9307-9310
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Liang Yuyun¹,Deng Yong²,Li Jun¹,Li Yunfei³,Li Fan¹,Zhang Shaoquan⁴

Affiliation:

1. China University of Geosciences,School of Computer Science,Wuhan,China,430074

2. Planning, Design and Research,Changjiang Institute of Survey,Wuhan,China,430010

3. Sun Yat-sen University,School of Geography and Planning,Guangzhou,China,510275

4. Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering,Nanchang,China,330099

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641085.pdf?arnumber=10641085

Reference12 articles.

1. Multi-year monitoring land surface phenology in relation to climatic variables using MODIS-NDVI time-series in Mediterranean forest, Northeast Tunisia

2. Spatial and Temporal Biomass and Growth for Grain Crops Using NDVI Time Series

3. Annual satellite-based NDVI-derived land cover of Europe for 2001–2019

4. A Changing-Weight Filter Method for Reconstructing a High-Quality NDVI Time Series to Preserve the Integrity of Vegetation Phenology

5. A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter

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