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Spatial distribution data of various crops in Cele in 2023
  • 2026/06/17 02:19
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English name
Spatial distribution data of various crops in Cele in 2023
CSTR
CSTR:33110.11.ariddc.01441
10.12389/ariddc.01441
Share type
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Category
Agriculture
contributors
wang wei jie
Datasets description

<p>Including vector data of various crop boundaries and crop species in Cele Oasis. </p>

Base information
data size 315.7 KiB
data format shapefile
Coordinate system WGS84
Projection WGS84
Data thumbnail
Data source description

The specific crop distribution data of the Cele Oasis uses remote sensing interpretation technology to outline the outline of the field. In order to ensure the accuracy and reliability of the data, a GPS handheld machine is held to carry out field surveys on the planting structure of each field one by one inside the oasis. In this way, the planting structure of the entire oasis is divided more finely, and information such as different crop types, planting areas, and distribution boundaries are recorded and sorted out in detail.

Data processing method

Data quality description

Citations and annotations
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For the achievements published in English, please refer to the following specifications： The dataset is provided by Arid Land Ecology and Resources Science Data Center. (https://data.dcxjegi.cn).

Data reference
wang wei jie. Spatial distribution data of various crops in Cele in 2023. Arid Land Ecology and Resources Science Data Center(https://data.dcxjegi.cn), 2026. https://cstr.cn/CSTR:33110.11.ariddc.01441.
wang wei jie. Spatial distribution data of various crops in Cele in 2023. Arid Land Ecology and Resources Science Data Center(https://data.dcxjegi.cn), 2026. https://www.doi.org/10.12389/ariddc.01441.
Papers to be cited
  1. 王伟杰, 于洋, 孙凌霄, 何婧, 张凌云. 基于XGBoost的干旱区典型绿洲主要作物需水量预测模型研究[J]. 干旱区地理, 2025, 48, (12): 2087-2098.
    Reference format： Endnote Bibtex RIS
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 策勒2023年各种作物空间分布数据
How to get the data 
east 
west 
south 
north 
Export metadata
Service information
contacts:
Li jin
phone:
0991-7823121
mailbox:
datacenter@ms.xjb.ac.cn
Contact information
contributors:
wang wei jie
author:
wang wei jie
manager:
yu yang

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