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Data from: Two Years of Cotton (Gossypium hirsutum L.) Data from the Gulf Atlantic Coastal Plain LTAR Network Site

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NIAID Data Ecosystem2026-05-01 收录
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https://figshare.com/articles/dataset/Data_from_Two_Years_of_Cotton_Gossypium_hirsutum_L_Data_from_the_Gulf_Atlantic_Coastal_Plain_LTAR_Network_Site/24857439
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These data were collected throughout the 2018 and 2019 growing seasons from fields of cotton (Gossypium hirsutum L.) near Tifton, Georgia, USA. The data were intended to provide validation data for models of cropping systems describing plant water content (derived from above ground biomass), soil moisture, crop height, and phenological stage. This field campaigns were accomplished by researchers at the Gulf Atlantic Coastal Plain site of USDA Long-Term Agroecosystem Research (LTAR) Network, which is managed by the USDA-ARS Southeast Watershed Research Laboratory in Tifton, GA. Field data for both years were collected from two farms. Detailed methods are described in an accompanying data paper. These data were intended for use to validate models of cropping systems that use remote sensing data, including optical imagery and synthetic aperture radar. There are eleven files in this collection: General information on the crop and field data (CottonCropData_2018_2019_ACF_TCF.xlsx)Field measurements of cotton from the Ashburn Cooperator Farm in 2018 (ACF_2018_f.xlsx)Field measurements of cotton from the Ashburn Cooperator Farm in 2019 (ACF_2019_f.xlsx)Field measurements of cotton from the Ty Ty Cooperator Farm in 2018 (TCF_2018_f.xlsx)Field measurements of cotton from the Ty Ty Cooperator Farm in 2019 (TCF_2019_f.xlsx)Management information for Ashburn Cooperator Farm and Ty Ty Cooperator Farm (Management_cotton_2018_2019_f.xlsx)Site map figure from data descriptor paper (SiteMap_Figure.docx)Geospatial features providing exact locations of the ACF sites where data were collected in 2018 (ACF_2018_pt_WGS84.kmz).Geospatial features providing exact locations of the ACF sites where data were collected in 2019 (ACF_2019_pt_WGS84.kmz).Geospatial features providing exact locations of the TCF sites where data were collected in 2018 (TCF_2018_pt_WGS84.kmz).Geospatial features providing exact locations of the TCF sites where data were collected in 2019 (TCF_2019_pt_WGS84.kmz).

本数据集采集于2018与2019年作物生长季,采样地点为美国佐治亚州蒂夫顿附近的陆地棉(*Gossypium hirsutum* L.)田块。本数据集旨在为描述植株含水量(由地上生物量推导得到)、土壤湿度、作物株高以及物候期的作物系统模型提供验证数据。这些野外采样工作由美国农业部(USDA)长期农田生态系统研究(Long-Term Agroecosystem Research, LTAR)网络的墨西哥湾大西洋沿海平原站点的研究人员完成,该站点由美国农业部农业研究局(USDA-ARS)东南流域研究实验室设于佐治亚州蒂夫顿。 两年的野外数据均采集自两座合作农场,详细的采集方法参见随附的数据论文。本数据集可用于验证结合遥感数据(包括光学影像与合成孔径雷达)的作物系统模型。本数据集共计包含11个文件: 1. 作物与田间数据总览(CottonCropData_2018_2019_ACF_TCF.xlsx) 2. 2018年阿什伯恩合作农场(Ashburn Cooperator Farm, ACF)棉花田间实测数据(ACF_2018_f.xlsx) 3. 2019年阿什伯恩合作农场棉花田间实测数据(ACF_2019_f.xlsx) 4. 2018年泰泰合作农场(Ty Ty Cooperator Farm, TCF)棉花田间实测数据(TCF_2018_f.xlsx) 5. 2019年泰泰合作农场棉花田间实测数据(TCF_2019_f.xlsx) 6. 阿什伯恩合作农场与泰泰合作农场的田间管理信息(Management_cotton_2018_2019_f.xlsx) 7. 数据描述论文中的站点地图(SiteMap_Figure.docx) 8. 2018年ACF站点数据采集点位的地理空间特征文件(ACF_2018_pt_WGS84.kmz) 9. 2019年ACF站点数据采集点位的地理空间特征文件(ACF_2019_pt_WGS84.kmz) 10. 2018年TCF站点数据采集点位的地理空间特征文件(TCF_2018_pt_WGS84.kmz) 11. 2019年TCF站点数据采集点位的地理空间特征文件(TCF_2019_pt_WGS84.kmz)
创建时间:
2023-10-02
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