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Gansu Province Surface Temperature MOD11A1 Dataset (2018-2022)
  • 2023/12/27 17:24
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English name
Gansu Province Surface Temperature MOD11A1 Dataset (2018-2022)
CSTR
CSTR:11738.11.NCDC.GSEER.DB4134.2023
DOI
10.12072/ncdc.gseer.db4134.2023
Share type
Online
Category
Remote Sensing
source site
Thematic data of ecological environment resources in Gansu Province
contributors
ZHANG Yaonan
Datasets description

  Land surface temperature (LST) is an important parameter that reflects the surface conditions and has significant implications for research in hydrology, ecology, environment, and biogeochemistry. Surface temperature is a sensitive indicator of climate change and an important prerequisite for mastering the laws of climate change. It is also a direct input parameter for many models and has wide applications in many fields, such as meteorology, climate, environmental ecology, hydrology, etc.

  This data is sourced from NASA's official website, and the dataset contains MOD11A1 as the data product. Using MODIS surface temperature MOD11A1 data from 2000 to present as the data source, the data resolution is 1KM, the time resolution is 1 day, and the data format is hdf.

Base information
collect time 2018/01/01  -  2022/12/31
collect place Gansu Province
data size 26.9 GiB
data format hdf
Coordinate system
Projection /
Data thumbnail
Data source description

  The data is sourced from NASA's official website（https://ladsweb.modaps.eosdis.nasa.gov ）.

  The MOD11A1 data strip involved is h25v04.

Data processing method

  Original product, untreated.

Data quality description

  The data quality is good.

Citations and annotations
In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference
  1. ZHANG Yaonan. Gansu Province Surface Temperature MOD11A1 Dataset (2018-2022). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2023. https://cstr.cn/CSTR:11738.11.NCDC.GSEER.DB4134.2023.
  2. ZHANG Yaonan. Gansu Province Surface Temperature MOD11A1 Dataset (2018-2022). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2023. https://www.doi.org/10.12072/ncdc.gseer.db4134.2023.
license agreement
Creative Commons License   This work is licensed under a Creative Commons Attribution 4.0 International License.
# title file size
1 _ncdc_meta_.json 3.4 KiB
2 甘肃省地表温度MOD11A1数据集（2018-2022年）
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How to get the data 
east 108.71
west  92.34
south  32.60
north  42.79
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Service information
contacts:
Min Yufang
phone:
09314967596
mailbox:
ncdc@lzb.ac.cn
Contact information
contributors:
ZHANG Yaonan
author:
LI Hongxing
manager:
MIN Yufang

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