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Optimum Monitoring Time for the Normalized Difference Vegetation Index of Crops

Transactions of the ASABE, 2015
Influenced by such factors as air temperature, humidity, solar radiation, and soil moisture, the normalized difference vegetation index (NDVI) for remote sensing of vegetation always changes dynamically within a day. Therefore, choosing the proper time to monitor the index is very important so as to minimize the effects of these factors. In this study,
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[Correlation analysis on normalized difference vegetation index (NDVI) of different vegetations and climatic factors in Southwest China].

Ying yong sheng tai xue bao = The journal of applied ecology, 2012
Based on the 1982-2006 NDVI remote sensing data and meteorological data of Southwest China, and by using GIS technology, this paper interpolated and extracted the mean annual temperature, annual precipitation, and drought index in the region, and analyzed the correlations of the annual variation of NDVI in different vegetation types (marsh, shrub, bush,
Yuan-Dong, Zhang   +2 more
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Spatiotemporal fusion method to simultaneously generate full-length normalized difference vegetation index time series (SSFIT)

International Journal of Applied Earth Observation and Geoinformation, 2021
Xuehong Chen, Junxiong Zhou, Yue'an Qiu
exaly  

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