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Articles

Derivation of 16-day time-series NDVI data for environmental studies using a data assimilation approach

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Pages 500-514 | Received 29 Apr 2013, Accepted 06 Jul 2013, Published online: 08 Aug 2013

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Changlu Cui, Wen Zhang, ZhiMing Hong & LingKui Meng. (2020) Forecasting NDVI in multiple complex areas using neural network techniques combined feature engineering. International Journal of Digital Earth 13:12, pages 1733-1749.
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Hajar Saad El Imanni, Abderrazak El Harti & Jonathan Panimboza. (2022) Investigating Sentinel-1 and Sentinel-2 Data Efficiency in Studying the Temporal Behavior of Wheat Phenological Stages Using Google Earth Engine. Agriculture 12:10, pages 1605.
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Yuzhen Zhang, Jindong Liu, Shunlin Liang & Manyao Li. (2022) A New Spatial–Temporal Depthwise Separable Convolutional Fusion Network for Generating Landsat 8-Day Surface Reflectance Time Series over Forest Regions. Remote Sensing 14:9, pages 2199.
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Sadia Alam Shammi & Qingmin Meng. (2021) Use time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling. Ecological Indicators 121, pages 107124.
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Tianyu Li, Qingmin Meng & Qian Du. (2020) Application of Random Effects to Explore the Gulf of Mexico Coastal Forest Dynamics in Relation to Meteorological Factors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, pages 5526-5535.
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Yinghai Ke, Jungho Im, Junghee Lee, Huili Gong & Youngryel Ryu. (2015) Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations. Remote Sensing of Environment 164, pages 298-313.
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