中国科学院机构知识库网格系统: 检索

Combining UAV and Sentinel-2 satellite multi-spectral images to diagnose crop growth and N status in winter wheat at the county scale 期刊论文 OAI收割
FIELD CROPS RESEARCH, 2023, 卷号: 294, 页码: 108860
作者: Jiang, Jie; Atkinson, Peter M.; Chen, Chunsheng; Cao, Qiang; Tian, Yongchao

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收藏 | 浏览/下载：15/0 | 提交时间：2024/01/04

N diagnosis Pixel aggregation Vegetation index Random forest Large areas

Mapping high resolution National Soil Information Grids of China 期刊论文 OAI收割
SCIENCE BULLETIN, 2022, 卷号: 67, 期号: 3, 页码: 328-340
作者: Liu, Feng; Wu, Huayong; Zhao, Yuguo; Li, Decheng; Yang, Jin-Ling

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收藏 | 浏览/下载：30/0 | 提交时间：2022/09/21

Predictive soil mapping Soil-landscape model Machine learning Depth function Large and complex areas Soil spatial variation

Mapping high resolution National Soil Information Grids of China 期刊论文 OAI收割
SCIENCE BULLETIN, 2022, 卷号: 67, 期号: 3, 页码: 328-340
作者: Liu, Feng; Wu, Huayong; Zhao, Yuguo; Li, Decheng; Yang, Jin-Ling

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收藏 | 浏览/下载：62/0 | 提交时间：2022/09/21

Predictive soil mapping Soil-landscape model Machine learning Depth function Large and complex areas Soil spatial variation

Dynamically Induced Large-Scale, Selective, and Vertical Structure Growth of MoS2 Nanosheets 期刊论文 OAI收割
ADVANCED ENGINEERING MATERIALS, 2021, 页码: 9
作者: Zhang, Kun; Feng, Shuanglong; Kang, Shuai; Wu, Yutong; Wang, Qingshan

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收藏 | 浏览/下载：42/0 | 提交时间：2021/12/23

chemical vapor deposition large areas molybdenum disulfide patterned growths vertical nanosheets

Spatiotemporal analysis of line loss rate: A case study in China 期刊论文 OAI收割
ENERGY REPORTS, 2021, 卷号: 7, 页码: 7048-7059
作者: Chen X(陈曦); Song CH(宋纯贺); Wang TR(王天然)

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收藏 | 浏览/下载：29/0 | 提交时间：2021/11/27

Line loss rate Large scale areas Time domain analysis Spatial domain analysis

Digital Soil Mapping over Large Areas with Invalid Environmental Covariate Data 期刊论文 OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 2, 页码: 17
作者: Fan, Nai-Qing; Zhu, A-Xing; Qin, Cheng-Zhi; Liang, Peng

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收藏 | 浏览/下载：17/0 | 提交时间：2020/05/19

digital soil mapping invalid data environmental covariate SoLIM uncertainty large areas China

Digital Soil Mapping over Large Areas with Invalid Environmental Covariate Data 期刊论文 OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 2, 页码: 17
作者: Fan, Nai-Qing; Zhu, A-Xing; Qin, Cheng-Zhi; Liang, Peng

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收藏 | 浏览/下载：14/0 | 提交时间：2020/05/19

digital soil mapping invalid data environmental covariate SoLIM uncertainty large areas China

黄海桑沟湾水体及沉积物中微塑料污染特征研究 期刊论文 OAI收割
海洋环境科学, 2019, 卷号: 38, 期号: 2, 页码: 198-204
作者: 熊宽旭; 赵新月; 周倩; 付传城; 涂晨

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收藏 | 浏览/下载：40/0 | 提交时间：2020/06/17

桑沟湾微塑料潮滩丰度空间分布 Sanggou bay microplastics tidal flats abundance spatial distribution In recent years,research on microplastics pollution in the marine environment has been increasing,but studies on microplastics in water bodies and sediments of the bay under the influence of high-intensity human activities are still rarely reported. In this study,the pollution characteristics of microplastics in the wayer and sediments of Sanggou bay were investigated in December 2017,after the harvest of large-scale aquaculture,with the aim to study the effects of aquaculture activities and hydrodynamics on pollution characteristics and spatial distribution of microplastics in the bay. The results showed that the types of microplastics in the water and sediments of Sanggou bay were mainly fibers,fragments,films,foams and particles. The microplastic abundances in the water and sediments were 1.8 ~ 31.2 N/L,31.2 ~ 1246.8 N/kg,respectively. The average particle sizes of microplastics in water and sediments were 0.51 0.20 mm and 1.54 1.02 mm,respectively. The results of spatial distribution of microplastics in Sanggou bay showed that the high abundance area mainly appears in the inshore waters,and the abundance of microplastics tends to decrease from the inner areas of estuary to the outshore areas. The heterogeneity of microplastic abundance and spatial distribution in Sanggou bay is mainly affected by human activities such as aquaculture,living and shipping,as well as hydrodynamics. In the future,fine sampling and analysis are needed to fully understand the temporal and spatial distribution of microplastics pollution in the bay areas.

Identifying sensitive areas of adaptive observations for prediction of the Kuroshio large meander using a shallowwater model CNKI期刊论文 OAI收割
2016
作者: Zou GA(邹广安); Wang Q(王强); Mu M(穆穆)

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收藏 | 浏览/下载：2/0 | 提交时间：2024/12/18

Kuroshio large meander conditional nonlinear optimal perturbation(CNOP) first singular vector(FSV) sensitive areas

Identifying sensitive areas of adaptive observations for prediction of the Kuroshio large meander using a shallow-water model 期刊论文 OAI收割
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2016, 卷号: 34, 期号: 5, 页码: 1122-1133
作者: Zou Guang'an; Wang Qiang; Mu Mu

收藏 | 浏览/下载：21/0 | 提交时间：2016/09/19

Kuroshio large meander conditional nonlinear optimal perturbation (CNOP) first singular vector (FSV) sensitive areas