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Sentinel-2 Canopy Cholorophyll Content Validation Dataset of Maize in Yucheng of China (2020)


WANG Zhengxing1
1 State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

DOI:10.3974/geodb.2021.07.01.V1

Published:Jul. 2021

Visitors:2347       Data Files Downloaded:91      
Data Downloaded:81.65 MB      Citations:

Key Words:

Canopy Cholorophyll Content (CCC),LAI,SPAD,Sentinel-2,Validation,Maize,Yucheng

Abstract:

The Sentinel-2 Canopy Chlorophyll Content (CCC) Validation Dataset of Maize in Yucheng of China (2020) was developed based on the 78 points (LAI and SPAD field survey: September 18-21, 2020) to points (Sentinel-2 CCC: 20200901, 20200926) validation between the CCCSentinel (10 m) and CCCField (using SPAD x LAI as a proxy) in Yucheng, Shandong Province of China. The linear correlation analysis showed that Coefficient of Determination (R²) was 0.708, suggesting up to 70.8% of the CCCField variation can be determined by CCCSentinel in September in this region. The dataset includes: (1) CCCField data: LAI and SPAD data from field observations; and CCCSentinel data from CCC image (interpolated to corresponding observation date); (2) CCC image, retrieved using Sentinel-2 L2A data and SNAP Biophysical-Processor, with 10 m resolution. The dataset is archived in .shp, .tif and .xlsx data formats, and consisted of 19 data files with data size of 2.05 MB (compressed into one file with 918 KB).

Foundation Item:

Ministry of Science and Technology of P. R. China (2016YFA0600201)

Data Citation:

WANG Zhengxing.Sentinel-2 Canopy Cholorophyll Content Validation Dataset of Maize in Yucheng of China (2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.07.01.V1.

Data Product:

ID Data Name Data Size Operation
1 CCCMaizeYucheng.rar 918.77KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum