Hyperspectral benchmark dataset on soil moisture
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资源简介:
关于土壤湿度的超光谱基准数据集
A hyperspectral benchmark dataset on soil moisture
创建时间:
2019-06-18
原始信息汇总
数据集概述
农业
- Hyperspectral benchmark dataset on soil moisture: 数据集链接: Hyperspectral benchmark dataset on soil moisture
- U.S. Department of Agricultures Nutrient Database: 数据集链接: U.S. Department of Agricultures Nutrient Database
- U.S. Department of Agricultures PLANTS Database: 数据集链接: U.S. Department of Agricultures PLANTS Database
生物学
- 1000 Genomes: 数据集链接: 1000 Genomes
- American Gut (Microbiome Project): 数据集链接: American Gut (Microbiome Project)
- Broad Bioimage Benchmark Collection (BBBC): 数据集链接: Broad Bioimage Benchmark Collection (BBBC)
- Broad Cancer Cell Line Encyclopedia (CCLE): 数据集链接: Broad Cancer Cell Line Encyclopedia (CCLE)
- Cell Image Library: 数据集链接: Cell Image Library
- Complete Genomics Public Data: 数据集链接: Complete Genomics Public Data
- EBI ArrayExpress: 数据集链接: EBI ArrayExpress
- EBI Protein Data Bank in Europe: 数据集链接: EBI Protein Data Bank in Europe
- ENCODE project: 数据集链接: ENCODE project
- Electron Microscopy Pilot Image Archive (EMPIAR): 数据集链接: Electron Microscopy Pilot Image Archive (EMPIAR)
- Ensembl Genomes: 数据集链接: Ensembl Genomes
- Gene Expression Omnibus (GEO): 数据集链接: Gene Expression Omnibus (GEO)
- Gene Ontology (GO) - GO annotation files: 数据集链接: Gene Ontology (GO) - GO annotation files
- Global Biotic Interactions (GloBI): 数据集链接: Global Biotic Interactions (GloBI)
- Harvard Medical School (HMS) LINCS Project: 数据集链接: Harvard Medical School (HMS) LINCS Project
- Human Genome Diversity Project: 数据集链接: Human Genome Diversity Project
- Human Microbiome Project (HMP): 数据集链接: Human Microbiome Project (HMP)
- ICOS PSP Benchmark: 数据集链接: ICOS PSP Benchmark
- International HapMap Project: 数据集链接: International HapMap Project
- Journal of Cell Biology DataViewer: 数据集链接: Journal of Cell Biology DataViewer
- KEGG - KEGG is a database resource for understanding high-level functions [...]: 数据集链接: KEGG - KEGG is a database resource for understanding high-level functions [...]
- MIT Cancer Genomics Data: 数据集链接: MIT Cancer Genomics Data
- NCBI Proteins: 数据集链接: NCBI Proteins
- NCBI Taxonomy: 数据集链接: NCBI Taxonomy
- NCI Genomic Data Commons: 数据集链接: NCI Genomic Data Commons
- NIH Microarray data: 数据集链接: NIH Microarray data
- OpenSNP genotypes data: 数据集链接: OpenSNP genotypes data
- Pathguid - Protein-Protein Interactions Catalog: 数据集链接: Pathguid - Protein-Protein Interactions Catalog
- Protein Data Bank: 数据集链接: Protein Data Bank
- Psychiatric Genomics Consortium: 数据集链接: Psychiatric Genomics Consortium
- PubChem Project: 数据集链接: PubChem Project
- PubGene (now Coremine Medical): 数据集链接: PubGene (now Coremine Medical)
- Sanger Catalogue of Somatic Mutations in Cancer (COSMIC): 数据集链接: Sanger Catalogue of Somatic Mutations in Cancer (COSMIC)
- Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC): 数据集链接: Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC)
- Sequence Read Archive(SRA): 数据集链接: Sequence Read Archive(SRA)
- Stanford Microarray Data: 数据集链接: Stanford Microarray Data
- Stowers Institute Original Data Repository: 数据集链接: Stowers Institute Original Data Repository
- Systems Science of Biological Dynamics (SSBD) Database: 数据集链接: Systems Science of Biological Dynamics (SSBD) Database
- The Cancer Genome Atlas (TCGA), available via Broad GDAC: 数据集链接: The Cancer Genome Atlas (TCGA), available via Broad GDAC
- The Catalogue of Life: 数据集链接: The Catalogue of Life
- The Personal Genome Project: 数据集链接: The Personal Genome Project
- UCSC Public Data: 数据集链接: UCSC Public Data
- UniGene: 数据集链接: UniGene
- Universal Protein Resource (UnitProt): 数据集链接: Universal Protein Resource (UnitProt)
气候+天气
- Actuaries Climate Index: 数据集链接: Actuaries Climate Index
- Australian Weather: 数据集链接: Australian Weather
- Aviation Weather Center - Consistent, timely and accurate weather [...]: 数据集链接: Aviation Weather Center - Consistent, timely and accurate weather [...]
- Brazilian Weather - Historical data (In Portuguese) - Data related to [...]: 数据集链接: Brazilian Weather - Historical data (In Portuguese) - Data related to [...]
- Canadian Meteorological Centre: 数据集链接: Canadian Meteorological Centre
- Climate Data from UEA (updated monthly): 数据集链接: Climate Data from UEA (updated monthly)
- Dutch Weather - The KNMI Data Center (KDC) portal provides access to KNMI [...]: 数据集链接: Dutch Weather - The KNMI Data Center (KDC) portal provides access to KNMI [...]
- European Climate Assessment & Dataset: 数据集链接: European Climate Assessment & Dataset
- Global Climate Data Since 1929: 数据集链接: Global Climate Data Since 1929
- NASA Global Imagery Browse Services: 数据集链接: NASA Global Imagery Browse Services
- NOAA Bering Sea Climate: 数据集链接: NOAA Bering Sea Climate
- NOAA Climate Datasets: 数据集链接: NOAA Climate Datasets
- NOAA Realtime Weather Models: 数据集链接: NOAA Realtime Weather Models
- NOAA SURFRAD Meteorology and Radiation Datasets: 数据集链接: NOAA SURFRAD Meteorology and Radiation Datasets
- The World Bank Open Data Resources for Climate Change: 数据集链接: The World Bank Open Data Resources for Climate Change
- UEA Climatic Research Unit: 数据集链接: UEA Climatic Research Unit
- WU Historical Weather Worldwide: 数据集链接: WU Historical Weather Worldwide
- WorldClim - Global Climate Data: 数据集链接: WorldClim - Global Climate Data
复杂网络
- AMiner Citation Network Dataset: 数据集链接: AMiner Citation Network Dataset
- CrossRef DOI URLs: 数据集链接: CrossRef DOI URLs
- DBLP Citation dataset: 数据集链接: DBLP Citation dataset
- DIMACS Road Networks Collection: 数据集链接: DIMACS Road Networks Collection
- NBER Patent Citations: 数据集链接: NBER Patent Citations
- NIST complex networks data collection: 数据集链接: NIST complex networks data collection
- Network Repository with Interactive Exploratory Analysis Tools: 数据集链接: Network Repository with Interactive Exploratory Analysis Tools
- Protein-protein interaction network: 数据集链接: Protein-protein interaction network
- PyPI and Maven Dependency Network: 数据集链接: PyPI and Maven Dependency Network
- Scopus Citation Database: 数据集链接: Scopus Citation Database
- Small Network Data: 数据集链接: Small Network Data
- Stanford GraphBase: 数据集链接: Stanford GraphBase
- Stanford Large Network Dataset Collection: 数据集链接: Stanford Large Network Dataset Collection
- Stanford Longitudinal Network Data Sources: 数据集链接: Stanford Longitudinal Network Data Sources
- The Koblenz Network Collection: 数据集链接: The Koblenz Network Collection
- The Laboratory for Web Algorithmics (UNIMI): 数据集链接: The Laboratory for Web Algorithmics (UNIMI)
- UCI Network Data Repository: 数据集链接: UCI Network Data Repository
- UFL sparse matrix collection: 数据集链接: UFL sparse matrix collection
- WSU Graph Database: 数据集链接: WSU Graph Database
计算机网络
- 3.5B Web Pages from CommonCrawl 2012: 数据集链接: 3.5B Web Pages from CommonCrawl 2012
- 53.5B Web clicks of 100K users in Indiana Univ.: 数据集链接: 53.5B Web clicks of 100K users in Indiana Univ.
- CAIDA Internet Datasets: 数据集链接: CAIDA Internet Datasets
- CRAWDAD Wireless datasets from Dartmouth Univ.: 数据集链接: CRAWDAD Wireless datasets from Dartmouth Univ.
- ClueWeb09 - 1B web pages: 数据集链接: ClueWeb09 - 1B web pages
- ClueWeb12 - 733M web pages: 数据集链接: ClueWeb12 - 733M web pages
- CommonCrawl Web Data over 7 years: 数据集链接: CommonCrawl Web Data over 7 years
- Criteo click-through data: 数据集链接: Criteo click-through data
- Internet-Wide Scan Data Repository: 数据集链接: Internet-Wide Scan Data Repository
- OONI: Open Observatory of Network Interference - Internet censorship data: 数据集链接: OONI: Open Observatory of Network Interference - Internet censorship data
- Open Mobile Data by MobiPerf: 数据集链接: [Open Mobile Data by MobiPerf](https://console.developers.google.com/storage/openmobiledata_public
搜集汇总
数据集介绍

构建方式
该数据集通过收集高光谱图像及其对应的土壤湿度标签构建而成,旨在为土壤湿度监测提供一个标准化的基准测试数据集。
特点
数据集特点包括:包含了多种土壤湿度条件下的高光谱图像,标签准确可靠,适用于机器学习和深度学习模型的训练与评估。
使用方法
用户可以通过访问Zenodo平台获取该数据集,使用前需确保遵守相应的数据使用条款。数据集可用于土壤湿度监测相关的算法研究、模型训练和性能评估等。
背景与挑战
背景概述
Hyperspectral benchmark dataset on soil moisture 是一个关于土壤湿度的高光谱数据集,旨在为农业领域提供高质量的数据资源。该数据集由多个研究机构和专家共同创建,包括了多种土壤湿度相关的研究数据。其主要研究人员和机构暂未明确。该数据集自发布以来,对农业遥感领域的研究和实践产生了积极的影响,推进了土壤湿度监测技术的发展。
当前挑战
在构建 Hyperspectral benchmark dataset on soil moisture 的过程中,研究人员面临了多个挑战。首先,高光谱数据的获取和处理需要专业的设备和复杂的数据处理流程,这对数据集的构建提出了较高的技术要求。其次,土壤湿度受多种因素影响,如地理位置、气候条件等,这增加了数据标注和验证的难度。此外,如何确保数据集的多样性和代表性,以及如何处理数据中的噪声和异常值,也是构建过程中需要克服的重要问题。
常用场景
经典使用场景
Hyperspectral benchmark dataset on soil moisture被广泛应用于土壤湿度监测领域,其经典使用场景包括农业灌溉管理、环境保护和灾害预防等。该数据集提供了高光谱图像和相应的土壤湿度标签,使得研究人员能够开发和测试各种图像处理和机器学习算法,以准确预测土壤湿度。
实际应用
在实际应用中,Hyperspectral benchmark dataset on soil moisture被用于改进农业灌溉系统,帮助农民优化水资源的使用,减少浪费。此外,它还在环境保护和灾害管理中发挥作用,通过监测土壤湿度的变化来预防土壤侵蚀和洪水等灾害。
衍生相关工作
基于该数据集,学术界衍生出了许多相关工作,包括土壤湿度预测模型的开发、高光谱图像处理技术的改进以及多源数据融合方法的研究。这些工作进一步推动了土壤湿度监测技术的发展和应用。
以上内容由遇见数据集搜集并总结生成



