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  • 阅读: 2022/4/7 16:47:44

    以下文章来源于GEE学习室 ,作者GEEStudyRoom

    很多时候,大家做研究十分认真、谨慎,使得科研工作大踏步推进;然而,有时候,也会陷入没数据可用的境况,这种时候就让人非常的不爽、容易抓狂。

    今天,小编就将自己平日里读过的文献涉及到的一些数据集产品分享给大家。本次统共分享了15个重要学术数据集,接下来也会继续分享。今天分享的数据集涵盖水体、农田、森林、GPPCropLULC验证样本等众多方面,实在是非常的让人兴奋。

    拿着这些数据,大家可以对比分析自己的算法,或者评价有关产品精度,都是很不错的研究内容哟~

    序号

    名称与链接

    数据集介绍

    1

    A dataset of remote-sensed Forel-Ule Index for global inland waters during 20002018

    https://www.nature.com/articles/s41597-021-00807-z

    水体

    2

    Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach

    https://www.nature.com/articles/s41597-020-00596-x

    美国瓦片排水农田数据

    3

    Hourly 5-km surface total and diffuse solar radiation in China, 20072018

    https://www.nature.com/articles/s41597-020-00654-4

    中国太阳辐射数据

    4

    A global dataset of air temperature derived from satellite remote sensing and weather stations

    https://www.nature.com/articles/sdata2018246#Sec10

    气温

    5

    The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

    https://www.nature.com/articles/s41597-019-0196-1

    森林

    6

    Annual dynamic dataset of global cropping intensity from 2001 to 2019

    https://www.nature.com/articles/s41597-021-01065-9

    种植强度

    7

    ValLAI_Crop, a validation dataset for coarse-resolution satellite LAI products over Chinese cropland

    https://www.nature.com/articles/s41597-021-01024-4

    LAI

    8

    A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform

    https://www.nature.com/articles/sdata2017136

    LULC验证样本

    9

    A crop type dataset for consistent land cover classification in Central Asia

    https://www.nature.com/articles/s41597-020-00591-2#Sec5

    中亚crop

    10

    Ground reference data for sugarcane biomass estimation in S?o Paulo state, Brazil

    https://www.nature.com/articles/sdata2018150

    巴西甘蔗

    11

    A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (20022019)

    https://www.nature.com/articles/s41597-021-00925-8

    土壤湿度

    12

    The global dataset of historical yields for major crops 19812016

    https://www.nature.com/articles/s41597-020-0433-7

    主要作物产量

    13

    Hourly potential evapotranspiration at 0.1° resolution for the global land surface from 1981-present

    https://www.nature.com/articles/s41597-021-01003-9

    蒸散发

    14

    A comprehensive data set of lake surface water temperature over the Tibetan Plateau derived from MODIS LST products 20012015

    https://www.nature.com/articles/sdata201795

    西藏湖泊温度

    15

    A global moderate resolution dataset of gross primary production of vegetation for 20002016

    https://www.nature.com/articles/sdata2017165

    全球GPP

    小编截取了一些论文的实验结果图放在这里,是不是都非常好看,甚至可以当壁纸使用了呢!

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