A novel alpine land cover classification strategy based on a deep convolutional neural network and multi-source remote sensing data in Google Earth Engine

Qichi, Yang; Lihui, Wang; Jinliang, Huang; Linzhi, Liu; Xiaodong, Li; Fei, Xiao; Yun, Du; Xue, Yan; Feng, Ling

doi:10.1080/15481603.2023.2233756

Cited by 5 publications

References 65 publications

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Global 24 solar terms phenological MODIS normalized difference vegetation index dataset in 2001–2022

Yang,

Wu,

Sun

et al. 2024

Geoscience Data Journal

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Phenology reflects the life cycle of vegetation, crucial for monitoring global vegetation diversity, ecosystem stability, and agricultural security. However, there is currently no dataset related to phenology. The 24 solar terms (24STs), based on the Sun's annual motion, reflect the changing seasons, temperature fluctuations, and phenological phenomena. They serve as a vital means to characterize vegetation phenology. This study generate a global Normalized Difference Vegetation Index (NDVI) product based on 24STs using Moderate Resolution Imaging Spectroradiometer (MODIS) on the Google Earth Engine (GEE). The 24STs NDVI dataset adopted the maximum value compositing (MVC) to process the NDVI values between two adjacent 24STs. The product has a spatial resolution of 250 m, covering the period from 2001 to 2022. Comparing with the MOD13Q1, good spatiotemporal consistency between the two datasets was observed, confirming the reliability of the 24STs product. However, the 24STs product holds distinct phenological meanings. This product introduces, for the first time, a vegetation index dataset based on the 24STs, enriching the vegetation index dataset and facilitating further research on phenology.

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Global 24 solar terms phenological MODIS normalized difference vegetation index dataset in 2001–2022

Yang,

Wu,

Sun

et al. 2024

Geoscience Data Journal

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Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method

Gumma,

Panjala,

Teluguntla

2024

International Journal of Digital Earth

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Based on the combination of CNN and LSTM, long and short sentence network education public opinion analysis

2023

2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA)

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A novel alpine land cover classification strategy based on a deep convolutional neural network and multi-source remote sensing data in Google Earth Engine

Cited by 5 publications

References 65 publications

Global 24 solar terms phenological MODIS normalized difference vegetation index dataset in 2001–2022

Global 24 solar terms phenological MODIS normalized difference vegetation index dataset in 2001–2022

Dryland cropping in different Land uses of Senegal using Sentinel-2 and hybrid ML method

Based on the combination of CNN and LSTM, long and short sentence network education public opinion analysis

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