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Original Articles

Integration of LAC and GAC NDVI data to improve vegetation monitoring in semi-arid environments

Pages 2475-2488 | Published online: 25 Nov 2010

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Hankui K. Zhang, Bo Huang, Ming Zhang, Kai Cao & Le Yu. (2015) A generalization of spatial and temporal fusion methods for remotely sensed surface parameters. International Journal of Remote Sensing 36:17, pages 4411-4445.
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Fabio Maselli. (2012) A method to improve the spatial features of NDVI data series. European Journal of Remote Sensing 45:1, pages 407-420.
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M. N. Alhamad, J. Stuth & M. Vannucci. (2007) Biophysical modelling and NDVI time series to project near‐term forage supply: spectral analysis aided by wavelet denoising and ARIMA modelling. International Journal of Remote Sensing 28:11, pages 2513-2548.
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F. Maselli & M. Chiesi. (2006) Integration of multi‐source NDVI data for the estimation of Mediterranean forest productivity. International Journal of Remote Sensing 27:1, pages 55-72.
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Pierre Diello, Gil Mahe, Jean-Emmanuel Paturel, Alain Dezetter, François Delclaux, Eric Servat & Frederic Ouattara. (2005) Relations indices de Végétation–Pluie au Burkina Faso: Cas du Bassin Versant du Nakambé/Relationship between Rainfall and Vegetation Indexes in Burkina Faso: A Case Study of the Nakambé Basin. Hydrological Sciences Journal 50:2.
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Guangsheng Chen, Hailiang Lu, Weitao Zou, Linhui Li, Mahmoud Emam, Xuebin Chen, Weipeng Jing, Jian Wang & Chao Li. (2023) Spatiotemporal fusion for spectral remote sensing: A statistical analysis and review. Journal of King Saud University - Computer and Information Sciences 35:3, pages 259-273.
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Zhaobin Wang, Yikun Ma & Yaonan Zhang. (2023) Review of pixel-level remote sensing image fusion based on deep learning. Information Fusion 90, pages 36-58.
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Yan Jin, Xudong Guan, Yong Ge, Yan Jia & Wenmei Li. (2022) Improved Spatiotemporal Information Fusion Approach Based on Bayesian Decision Theory for Land Cover Classification. Remote Sensing 14:23, pages 6003.
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Shuai Fang, Siyuan Meng, Jing Zhang & Yang Cao. (2022) Two-stream spatiotemporal image fusion network based on difference transformation. Journal of Applied Remote Sensing 16:03.
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Duo Jia, Changxiu Cheng, Shi Shen & Lixin Ning. (2022) Multitask Deep Learning Framework for Spatiotemporal Fusion of NDVI. IEEE Transactions on Geoscience and Remote Sensing 60, pages 1-13.
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Guangqi Yang, Yurong Qian, Hui Liu, Bochuan Tang, Ranran Qi, Yi Lu & Jun Geng. (2022) MSFusion: Multistage for Remote Sensing Image Spatiotemporal Fusion Based on Texture Transformer and Convolutional Neural Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, pages 4653-4666.
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David M. Johnson, Arthur Rosales, Richard Mueller, Curt Reynolds, Ronald Frantz, Assaf Anyamba, Ed Pak & Compton Tucker. (2021) USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses?. Remote Sensing 13:21, pages 4227.
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Lilin Zhang, Yunjun Yao, Xiangyi Bei, Yufu Li, Ke Shang, Junming Yang, Xiaozheng Guo, Ruiyang Yu & Zijing Xie. (2021) ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation. Remote Sensing 13:18, pages 3703.
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Duo Jia, Changxiu Cheng, Changqing Song, Shi Shen, Lixin Ning & Tianyuan Zhang. (2021) A Hybrid Deep Learning-Based Spatiotemporal Fusion Method for Combining Satellite Images with Different Resolutions. Remote Sensing 13:4, pages 645.
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Xuegang Xing, Changzhen Yan, Yanyan Jia, Haowei Jia, Junfeng Lu & Guangjie Luo. (2020) An Effective High Spatiotemporal Resolution NDVI Fusion Model Based on Histogram Clustering. Remote Sensing 12:22, pages 3774.
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Yang Chen, Ruyin Cao, Jin Chen, Xiaolin Zhu, Ji Zhou, Guangpeng Wang, Miaogen Shen, Xuehong Chen & Wei Yang. (2020) A New Cross-Fusion Method to Automatically Determine the Optimal Input Image Pairs for NDVI Spatiotemporal Data Fusion. IEEE Transactions on Geoscience and Remote Sensing 58:7, pages 5179-5194.
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Jun Li, Yunfei Li, Lin He, Jin Chen & Antonio Plaza. (2020) Spatio-temporal fusion for remote sensing data: an overview and new benchmark. Science China Information Sciences 63:4.
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Yijie Tang, Qunming Wang, Ka Zhang & Peter M. Atkinson. (2020) Quantifying the Effect of Registration Error on Spatio-Temporal Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, pages 487-503.
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Lei Li, Peng Liu, Jie Wu, Lizhe Wang & Guojin He. (2020) Spatiotemporal Remote-Sensing Image Fusion with Patch-Group Compressed Sensing. IEEE Access, pages 1-1.
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Chang Xu & Ani L. Katchova. (2019) Predicting Soybean Yield with NDVI Using a Flexible Fourier Transform Model. Journal of Agricultural and Applied Economics 51:3, pages 402-416.
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Xingwang Fan & Yuanbo Liu. (2018) Multisensor Normalized Difference Vegetation Index Intercalibration: A Comprehensive Overview of the Causes of and Solutions for Multisensor Differences. IEEE Geoscience and Remote Sensing Magazine 6:4, pages 23-45.
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Xiaolin Zhu, Fangyi Cai, Jiaqi Tian & Trecia Williams. (2018) Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions. Remote Sensing 10:4, pages 527.
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Yaojie Yue, Min Li, A-xing Zhu, Xinyue Ye, Rui Mao, Jinhong Wan & Jin Dong. (2016) Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach. Sustainability 8:11, pages 1174.
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Revati More & K. R. Manjunath. (2013) Deducing Rice Crop Dynamics and Cultural Types of Bangladesh Using Geospatial Techniques. Journal of the Indian Society of Remote Sensing 41:3, pages 597-607.
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Sharon E. Nicholson. 2011. Dryland Climatology. Dryland Climatology 3 23 .
C.T. Omuto, R.R. Vargas, M.S. Alim & P. Paron. (2010) Mixed-effects modelling of time series NDVI-rainfall relationship for detecting human-induced loss of vegetation cover in drylands. Journal of Arid Environments 74:11, pages 1552-1563.
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Ulf Helldén & Christian Tottrup. (2008) Regional desertification: A global synthesis. Global and Planetary Change 64:3-4, pages 169-176.
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F. Maselli & M. Chiesi. (2005) Integration of high- and low-resolution satellite data to estimate pine forest productivity in a Mediterranean coastal area. IEEE Transactions on Geoscience and Remote Sensing 43:1, pages 135-143.
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Fabio Maselli. (2004) Monitoring forest conditions in a protected Mediterranean coastal area by the analysis of multiyear NDVI data. Remote Sensing of Environment 89:4, pages 423-433.
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