Reconstruction of Sentinel-2 Image Time Series Using Google Earth Engine
Sentinel-2 NDVI and surface reflectance time series have been widely used in various geoscience research, but the data is deteriorated or missing due to the cloud contamination, so it is necessary to reconstruct the Sentinel-2 NDVI and surface reflectance time series. At present, there are few studi...
Main Authors: | Kaixiang Yang, Youming Luo, Mengyao Li, Shouyi Zhong, Qiang Liu, Xiuhong Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/17/4395 |
Similar Items
-
Using Time Series Sentinel Images for Object-Oriented Crop Extraction of Planting Structure in the Google Earth Engine
by: Daiwei Zhang, et al.
Published: (2023-09-01) -
Analysis of Vegetation Index in Ambon City Using Sentinel-2 Satellite Image Data with Normalized Difference Vegetation Index (NDVI) Method based on Google Earth Engine
by: Heinrich Rakuasa, et al.
Published: (2023-06-01) -
Mapping Tidal Flats of the Bohai and Yellow Seas Using Time Series Sentinel-2 Images and Google Earth Engine
by: Maoxiang Chang, et al.
Published: (2022-04-01) -
Mapping Paddy Fields in Japan by Using a Sentinel-1 SAR Time Series Supplemented by Sentinel-2 Images on Google Earth Engine
by: Shimpei Inoue, et al.
Published: (2020-05-01) -
Creating a Detailed Wetland Inventory with Sentinel-2 Time-Series Data and Google Earth Engine in the Prairie Pothole Region of Canada
by: Evan R. DeLancey, et al.
Published: (2022-07-01)