Dataset List

Vol.|Area

No.11 Vol.11,2024
No.10 Vol.11,2024
No.09 Vol.11,2024
No.08 Vol.11,2024
No.07 Vol.11,2024
No.06 Vol.11,2024
No.05 Vol.11,2024
No.04 Vol.11,2024
No.03 Vol.11,2024
No.02 Vol.11,2024
No.01 Vol.11,2024
No.12 Vol.10,2023
No.11 Vol.10,2023
No.10 Vol.10,2023
No.09 Vol.10,2023
No.08 Vol.10,2023
No.07 Vol.10,2023
No.06 Vol.10,2023
No.05 Vol.10,2023
No.04 Vol.10,2023
No.03 Vol.10,2023
No.02 Vol.10,2023
No.01 Vol.10,2023
No.12 Vol.9,2022
No.11 Vol.9,2022
No.10 Vol.9,2022
No.09 Vol.9,2022
No.08 Vol.9,2022
No.07 Vol.9,2022
No.06 Vol.9,2022
No.05 Vol.9,2022
No.04 Vol.9,2022
No.03 Vol.9,2022
No.02 Vol.9,2022
No.01 Vol.9,2022
No.12 Vol.8,2021
No.11 Vol.8,2021
No.10 Vol.8,2021
No.09 Vol.8,2021
No.08 Vol.8,2021
No.07 Vol.8,2021
No.06 Vol.8,2021
No.05 Vol.8,2021
No.04 Vol.8,2021
No.03 Vol.8,2021
No.03 Vol.8,2021
No.02 Vol.8,2021
No.01 Vol.8,2021
No.09 Vol.7,2020
No.08 Vol.7,2020
No.07 Vol.7,2020
No.06 Vol.7,2020
No.05 Vol.7,2020
No.04 Vol.7,2020
No.03 Vol.7,2020
No.02 Vol.7,2020
No.01 Vol.7,2020
No.06 Vol.6,2019
No.05 Vol.6,2019
No.04 Vol.6,2019
No.03 Vol.6,2019
No.02 Vol.6,2019
No.01 Vol.6,2019
No.08 Vol.5,2018
No.07 Vol.5,2018
No.06 Vol.5,2018
No.05 Vol.5,2018
No.04 Vol.5,2018
No.03 Vol.5,2018
No.02 Vol.5,2018
No.01 Vol.5,2018
No.04 Vol.4,2017
No.03 Vol.4,2017
No.02 Vol.4,2017
No.01 Vol.4,2017
No.09 Vol.3,2016
No.08 Vol.3,2016
No.07 Vol.3,2016
No.06 Vol.3,2016
No.05 Vol.3,2016
No.04 Vol.3,2016
No.03 Vol.3,2016
No.02 Vol.3,2016
No.01 Vol.3,2016
No.02 Vol.2,2015
No.01 Vol.2,2015
No.02 Vol.1,2014
No.01 Vol.1,2014
China
Asia
Oceanic region
African
European
North American
South American
Arctic
Global Scale
Data Details

Cotton Field Dataset based on Multi-satellite Images in Aksu and Alaer Region (2020)


ZHANG Ping1,2FAN Jinglong1LI Shengyu1
1 National Engineering Technology Research Center for Desert-Oasis Ecological Construction，Xinjiang Institute of Ecology and Geography，Chinese Academy of Sciences，Urumqi 830011，China2 University of Chinese Academy of Sciences，Beijing 100049，China

DOI:10.3974/geodb.2024.02.10.V1

Published:Feb. 2024

Visitors：3831       Data Files Downloaded：40      
Data Downloaded：5.25 MB      Citations：

Key Words：

Aksu Prefecture,Alaer City,cotton,Random forest

Abstract：

Aksu and Alaer Region means the Aksu Prefecture and Alaer City in the central region of Xinjiang, China. Based on images from Landsat 8, Sentinel-2, and MOD13Q1 acquired in 2020 and the Google Earth Engine (GEE) platform, the authors extracted the cotton planting area (cotton fields) using the random forest method and classification post-processing in the Aksu Prefecture and Alaer City (excluding Wushi and Baicheng due to extremely low cotton planting). The overall classification accuracy of the images in each county was above 0.9, with Kappa coefficients all exceeding 0.8. The dataset includes: (1) distribution of cotton fields with spatial resolution of 250 m; (2) sample point data. This dataset is archived in .tif and .shp formats, and consists of 17 data files with data size of 385 KB (compressed into 1 file with 134 KB).Browse

Foundation Item：

Ministry of Science and Technology of P. R. China (2021xjkk0305)

Data Citation：

ZHANG Ping, FAN Jinglong, LI Shengyu. Cotton Field Dataset based on Multi-satellite Images in Aksu and Alaer Region (2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.02.10.V1.

ZHANG Ping, FAN Jinglong, Ding, G., et al. Remote sensing technology based on an algorithm for cotton spatial distribution in Aksu-Alaer Region (2020) [J]. Journal of Global Change Data & Discovery, 2023, 7(4): 375-381.

References：

[1] Yang, J., Huang, X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019 [J]. Earth System Science Data, 2021, 13(8): 3907-3925.
     

Data Product:

ID Data Name Data Size Operation
0Datapaper_Aksu_Alaer_Cotton_2020.pdf1610.00kbDownLoad
1 Aksu_Alaer_Cotton_2020.rar 134.33KB
Co-Sponsors
Superintend