Seasonal Vegetation Index Changes: Cases and Solutions

Dear Colleagues,

Previous research shows that the vegetation index is a simple, effective and reliable parameter to characterize the status of surface vegetation. It has achieved great application results in global and regional land-use evaluation, vegetation classification, crop yield estimation, various vegetation stresses and land productivity evaluation. The remote sensing data of various countries are developing towards high spectral resolution, high spatial resolution and high temporal resolution in recent years. The research on the time dimension is at a disadvantage in terms of depth and breadth compared with the former two, while carbon neutrality, global change, climate issues and environmental development are all closely related to time factors. It has become one of the research highlights in the field of remote sensing technology to realize the more human living space information mining by studying the change law of vegetation index with time. Therefore, the purpose of this Special Issue is to discuss the temporal application direction of vegetation index and study the positive effect of seasonal vegetation index change on economy and society.

We invite papers containing the latest research results on seasonal vegetation index changes, including the data structure designed to deal with seasonal vegetation index change, the processing method of seasonal vegetation index change data, the temporal spectrum research with the remote sensing time series change detection, the typical case study of seasonal vegetation index changes, etc. Other studies, such as the discussion on the application of various vegetation indexes, the application of seasonal vegetation index in agricultural yield estimation, the response relationship between global biomass and vegetation index, the assimilation of global change data and vegetation index data, the modeling and quantitative calculation of temporal spectrum data, are all the research directions which are appreciated.

Specifically, topics of interest for this Special Issue include (but are not limited to):

• Data structure of seasonal vegetation index changes;
• Data processing method of seasonal vegetation index changes;
• Temporal spectrum research of vegetation;
• Crop yield estimation in multiple growth periods;
• Response between global change and vegetation index.

Dr. Lifu Zhang
Dr. Yanbo Huang
Dr. Yi Guo
Prof. Dr. Bin Wang
Dr. Changping Huang
Guest Editors

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