Dataset List

Vol.|Area

Data Details

Sentinel-2 LAI Validation Dataset of Maize in Yucheng, Shandong of China


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.2020.08.02.V1

Published:Nov. 2020

Visitors:2393       Data Files Downloaded:225      
Data Downloaded:11766.35 MB      Citations:

Key Words:

LAI,Sentinal-2,Field observation,Validation,Shandong,Yucheng,Maize

Abstract:

The Sentinel-2 LAI Validation Dataset of Maize in Yucheng, Shandong of China was developed based on the 77 points (field survey, September 18-21, 2020) to points (Sentinel-2 20200901, 20200926, LAI) validation between the LAISentinal (10m) and LAIfield in Yucheng, Shandong Province of China. The correlation analysis with five models showed that Coefficient of Determination (R²) was 0.7517, suggesting 75.17% of the LAI variation in the field can be determined by LAISentinal in this region. The dataset includes: (1) LAI point data, including data in situ, LAI based on Sentinel-2, their difference, and the proportion of difference to the data in situ; (2) LAI based on Sentinel-2 data with 10 m resolution. The dataset is archived in .shp, .kmz, .tif and .xlsx data formats, and consists of 18 data files with data size of 182 MB (compressed into three files with 130 MB).

Foundation Item:

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

Data Citation:

WANG Zhengxing.Sentinel-2 LAI Validation Dataset of Maize in Yucheng, Shandong of China[J/DB/OL]. Digital Journal of Global Change Data Repository, 2020. https://doi.org/10.3974/geodb.2020.08.02.V1.

Data Product:

ID Data Name Data Size Operation
1 LAI_Maize_P_2020_0918-0921.kmz 7.62KB
2 LAI_Maize_P_2020_0918-0921.xlsx 15.91KB
3 LAI_Maize_Yucheng_202009.rar 133856.98KB
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