2022/4/7 16:47:44 阅读：608 发布者：chichi77
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、GPP、Crop、LULC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 2000–2018
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, 2007–2018
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 São 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 (2002–2019)
https://www.nature.com/articles/s41597-021-00925-8
土壤湿度
12
The global dataset of historical yields for major crops 1981–2016
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 2001–2015
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 2000–2016
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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