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美国佐治亚沿海平原两年棉花(Gossypium hirsutum L.)数据。

Two Years of Cotton (Gossypium hirsutum L.) Data from the Georgia Coastal Plain, USA.

机构信息

USDA-ARS, Southeast Watershed Research Laboratory, Tifton, GA, 31793, USA.

USDA-ARS, Hydrology and Remote Sensing Laboratory, Belstville, MD, 21032, USA.

出版信息

Sci Data. 2024 Sep 27;11(1):1037. doi: 10.1038/s41597-024-03716-z.

Abstract

The sustainable management of Earth's complex ecosystems requires an abundance of field data to support long term stewardship. Remotely sensed satellite data provide crucial supplements to field measurements and are essential for deriving key operational products for monitoring Earth systems. However, to accurately calibrate and validate the models used to develop monitoring datasets, coincident field measurements are required. In 2018 and 2019, data related to cotton (Gossypium hirsutum L.) crops were collected from five fields in two farms located in Georgia, USA. Collections were timed to coincide with satellite overpasses to support the development of remote sensing-based crop and soil data products. Data collected include soil moisture, plant water content, above ground biomass, crop height, plant phenology, and field management practices (row direction, row spacing, and plant density). The datasets include 512 records collected in 2018 and 303 records collected in 2019. The data are archived in the National Agricultural Library Ag Data Commons repository and are available for use by researchers seeking crop and soil validation data.

摘要

为了实现地球复杂生态系统的可持续管理,需要大量的实地数据来支持长期管理。遥感卫星数据为实地测量提供了重要的补充,对于开发用于监测地球系统的关键运行产品也是必不可少的。然而,为了准确校准和验证用于开发监测数据集的模型,需要进行同时的实地测量。2018 年和 2019 年,在美国佐治亚州的两个农场的五个田块中收集了与棉花(Gossypium hirsutum L.)作物有关的数据。采集时间与卫星过境时间相吻合,以支持基于遥感的作物和土壤数据产品的开发。收集的数据包括土壤湿度、植物含水量、地上生物量、作物高度、植物物候和田间管理措施(行向、行间距和种植密度)。该数据集包括 2018 年采集的 512 条记录和 2019 年采集的 303 条记录。这些数据已被归档在国家农业图书馆农业数据共享知识库中,供寻求作物和土壤验证数据的研究人员使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76e5/11437025/bdf65bff2f19/41597_2024_3716_Fig1_HTML.jpg

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