# Outlier Reconstruction of NDVI for Vegetation-Cover Dynamic Analyses
## 5 Conclusions
(2022)_ [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Application of Remote Sensing Tools to Assess the Land Use and Land Cover Change in Coatzacoolcos, Veracruz, Mexico. _Appl. Sci._**2022**, _12_, 1882. [CrossRef]
* _[PERSON] et al. (2013)_ [PERSON]; [PERSON] Multi-scale analysis of vegetation dynamics from satellite images. In Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium--IGARSS, Melbourne, Australia, 21-26 July 2013; pp. 3923-3926. * _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Spatio-Temporal Vegetation Dynamic and Persistence under Climatic and Anthropogenic Factors. _Remote Sens._**2020**, _16_, 2612. [CrossRef]
* _[PERSON] et al. (2015)_ [PERSON]; [PERSON]; [PERSON] Estimation of Fractional Vegetation Cover in Semiarid Areas by Integrating Endmember Reflectance Purification Into Nonlinear Spectral Mixture Analysis. _IEEE Geosci. Remote Sens. Lett._**2015**, _12_, 1175-1179. * _[PERSON] et al. (2013)_ [PERSON]; [PERSON]; [PERSON] Monitoring Vegetation Dynamics Inferred by Satellite Data Using the PhenoSat Tool. _IEEE Trans. Geosci. Remote Sens._**2013**, _51_, 2096-2104. [CrossRef]
* _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Synergic Use of Multi-Sensor Satellite Data for Volcanic Hazards Monitoring: The Fogo (Cape Verde) 2014-2015 Effusive Eruption. _Front. Earth Sci._**2020**, \(8\), 22. [CrossRef]
* _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Meteosat Third Generation (MTG): Continuation and Innovation of Observations from Geostationary Orbit. _Bull. Am. Meteorol. Soc._**2021**, _102_, 990-1015. [CrossRef]
* _[PERSON]; [PERSON]; [PERSON]. A fuzzy rule based approach to cloud cover estimation. Remote Sens. Environ._**2006**, _100_, 531-549. [CrossRef]
* _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Evaluations of MODIS and microwave-based satellite evapotranspiration products under varied cloud conditions over east Asia forests. _Remote Sens. Environ._**2021**, _264_, 112606. [CrossRef]
* _[PERSON] et al. (2021)_ [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. KappaMask: AI-Based Cloudmask Processor for Sentinel-2. _Remote Sens._**2021**, _13_, 4100. [CrossRef]
* _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Assessing the impact of illumination on UAV push broom hyperspectral imagery collected under various cloud cover conditions. _Remote Sens. Environ._**2021**, _258_, 112396. [CrossRef]
* _[PERSON] et al. (2015)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Cloud cover throughout the agricultural growing season: Impacts on passive optical earth observations. _Remote Sens. Environ._**2015**, _156_, 438-447. [CrossRef]
* _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON] On the cause-and-effect relations between aerosols, water vapor, and clouds over East Asia. _Theor. Appl. Climatol._**2021**, _144_, 711-722. [CrossRef]
* _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] Investigating ESA Sentinel-2 products' systematic cloud cover overestimation in very high-altitude areas. _Remote Sens. Environ._**2021**, _252_, 112163. * _[PERSON] et al. (2021)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] A Review of Reconstructing Remotely Sensed Land Surface Temperature under Cloudy Conditions. _Remote Sens._**2021**, _13_, 2838. [CrossRef]
* _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] For-backward LSTM-based missing data reconstruction for time-series Landsat images. _Glsci. Remote Sens._**2022**, _59_, 410-430. [CrossRef]
* _[PERSON] et al. (2019)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on a Multiscale Feature Connected Convolutional Neural Network. _Remote Sens._**2019**, _11_, 300.