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‎.github/non_browsable_doc_map.json‎

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"source": "products/CLDS_survey_evaluation_final.qmd",
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"source": "Copernicus_Land_Data_Store_CLDS/Survey_Evaluation_v1.qmd",
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‎.llm_cache/DOCS__guidelines__editor-manual.qmd.json‎

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{
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"hash": "1a38f2439fd3f1affb093be939fe849f62c72f6023f5d0d328610515a238f430",
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"intro": "This guide provides comprehensive instructions for creating technical documentation for the Copernicus Land Monitoring Service (CLMS) using Quarto. It aims to streamline the documentation process by detailing Markdown syntax, document rendering, project structure, and version control using Git. The guide ensures consistency and clarity in CLMS documentation by providing templates, styling configurations, and addressing common issues, ultimately facilitating effective knowledge dissemination across the service.",
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"intro": "This document serves as a comprehensive guide for individuals involved in creating technical documentation for the Copernicus Land Monitoring Service (CLMS). It details the process of producing consistent, high-quality documentation using Quarto, a Markdown-based authoring tool. The guide covers essential aspects such as setting up the required software, structuring project files, utilising Markdown syntax, rendering documents in various formats (HTML, DOCX, PDF), and adhering to the established review and Git workflow for the CLMS Technical Library.",
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"keywords": [
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"Quarto",
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"Quarto document rendering",
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"Markdown syntax",
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"document rendering",
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"Git subtree",
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"YAML header",
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"DOCX conversion",
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"HTML output",
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"PDF generation",
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"Technical Library",
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"custom character styles"
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"Git subtree management",
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"CLMS Technical Library",
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"Document version control",
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"Algorithm Theoretical Basis Document",
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"Product User Manual",
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"YAML header configuration",
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"DOCX to QMD conversion",
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"Automated keyword generation"
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]
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}

‎.llm_cache/DOCS__it-principles__IT_Architecture_Principles_and_Implementation_Guidelines.qmd.json‎

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{
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"hash": "5d7a39307ca6608f59daf508c4d7d9b26e5e813ade62702e6d54aaec18b0fed9",
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"intro": "This document outlines the IT architecture principles and implementation guidelines for the Copernicus Land Monitoring Service (CLMS), managed by the European Environment Agency (EEA). It serves as a framework to ensure that all IT solutions delivered to the CLMS are consistent, scalable, secure, and aligned with the programme's overall IT vision and strategy. The guidelines emphasise key attributes such as modularity, reproducibility, transparency, maintainability, and resilience, aiming to foster a coherent and adaptable IT landscape that efficiently supports the CLMS's operational needs.",
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"intro": "This document outlines the IT architecture principles and implementation guidelines for the Copernicus Land Monitoring Service (CLMS), overseen by the European Environment Agency (EEA). It establishes a framework for developing consistent, scalable, secure, and maintainable IT solutions within the CLMS programme. Emphasising modularity, reproducibility, transparency, and resilience, these guidelines are designed to ensure that IT deliverables are coherent, adaptable, and efficiently operated, supporting the overarching IT vision and strategy of CLMS.",
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"keywords": [
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"Modular IT solutions",
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"Containerisation technologies",
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"REST API services",
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"Cloud-agnostic design",
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"Reproducible workflows",
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"Automated scripting",
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"EUPL-1.2 license",
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"Continuous Integration/Continuous Deployment",
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"Role-based access control",
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"Disaster recovery planning"
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"microservice architecture",
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"container technology",
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"REST API service",
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"cloud agnostic solutions",
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"pre-processing workflows",
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"source code documentation",
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"CI/CD pipeline",
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"automated testing",
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"role-based access control",
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"disaster recovery plan"
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]
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}

‎.llm_cache/DOCS__products__CLDS_survey_evaluation_final.qmd.json‎

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{
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"hash": "2108ee27fba43ebc87909279f92427e2e0fd17c177bd29a2dce7482e1971921b",
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"intro": "This report presents the findings of a public consultation survey regarding the Copernicus Land Data Store (CLDS). The survey aimed to evaluate user perceptions and challenges related to cloud-based geospatial data processing, focusing on the balance between user needs for scalable solutions and the obstacles hindering cloud migration. It investigates factors influencing the adoption of cloud environments within the geospatial community, encompassing data producers, consumers, and researchers. The assessment covers technical skills, data handling practices, and specific concerns regarding data accessibility, processing, and cost, ultimately informing strategies for improving CLDS and similar services.",
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"intro": "This report presents the findings of a public consultation survey conducted to evaluate user needs and challenges related to cloud-based geospatial data processing, with a particular focus on the Copernicus Land Monitoring Service (CLMS). The survey investigated the factors influencing the adoption of cloud environments, weighing the perceived benefits against existing concerns and difficulties. It targeted geospatial professionals, including data producers and consumers, to understand their current practices, technical expertise, and the obstacles hindering their transition to cloud-based workflows. The results provide valuable insights for optimising the Copernicus Land Data Store (CLDS) and enhancing the accessibility and usability of CLMS data within cloud environments.",
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"keywords": [
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"cloud migration barriers",
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"geospatial data processing",
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"scalable computing resources",
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"data accessibility challenges",
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"Copernicus data usability",
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"geospatial data accessibility",
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"Copernicus Land Data Store (CLDS)",
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"cloud processing environment",
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"data pool integration",
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"FAIR principles implementation",
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"geospatial data consumption preferences",
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"user onboarding mechanisms",
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"data pool fragmentation",
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"cloud service pricing models",
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"FAIR data principles",
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"European cloud environment stability"
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"European Earth Observation data fragmentation"
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]
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}

‎.llm_cache/DOCS__products__Coastal_Zones_2012_2018_Nomenclature_Guideline.qmd.json‎

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{
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"hash": "8bc3c5c540504dc148f3dce0531f3d8e40ba1dbbec4ec80e348aee3c4b03714a",
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"intro": "This document serves as a nomenclature guideline for the Copernicus Land Monitoring Service's Coastal Zones product, offering a detailed description of Level 5 land cover and land use classes. It outlines the geographic characteristics, input datasets, and methodologies used to interpret these classes within coastal areas. The guideline aims to ensure consistent and accurate mapping of coastal zones, harmonising with existing European land cover products and addressing the specific features of these dynamic environments.",
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"intro": "This document serves as a comprehensive nomenclature guideline for the Coastal Zones Land Cover/Land Use (LC/LU) product within the Copernicus Land Monitoring Service. It provides detailed descriptions of all Level 5 LC/LU classes specific to coastal environments, including their geographic characteristics, input datasets, and interpretation methods. The guideline aims to ensure consistency and accuracy in mapping coastal zones, aligning with the EU Biodiversity Strategy to 2020 and ensuring compatibility with other European LC/LU products.",
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"keywords": [
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"Land Cover/Land Use classification",
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"Coastal zone mapping",
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"Very High Resolution imagery",
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"Coastal Zones LC/LU classes",
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"VHR satellite imagery",
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"MAES ecosystem typology",
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"Minimum Mapping Unit",
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"Change detection layer",
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"MAES ecosystem typology",
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"Visual interpretation",
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"Object delineation",
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"Object delineation rules",
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"Water level rules",
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"Geometric inconsistencies",
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"Water level rules"
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"Allowed comments",
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"Complex changes mapping"
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]
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}

‎.llm_cache/DOCS__products__EGMS-ATBD_v4.0.qmd.json‎

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{
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"hash": "219840cff3bd4ee26d54dd65ddcaba86ae60fa2a8ee6e47fb0303a1fa5c80090",
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"intro": "This Algorithm Theoretical Basis Document (ATBD) provides a comprehensive overview of the scientific and technical foundations for the European Ground Motion Service (EGMS) product generation within the Copernicus Land Monitoring Service (CLMS). It details the theoretical principles, data processing methodologies, and specific algorithms employed in the production of EGMS products, encompassing Basic (L2a), Calibrated (L2b), and Ortho (L3) InSAR datasets. From the fundamentals of Synthetic Aperture Radar (SAR) interferometry to the intricacies of multi-interferogram processing chains and GNSS calibration, this document serves as a reference for understanding the EGMS production pipeline and the underlying scientific rationale.",
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"intro": "This Algorithm Theoretical Basis Document (ATBD) provides a comprehensive description of the theoretical and practical underpinnings for generating the European Ground Motion Service (EGMS) products within the Copernicus Land Monitoring Service. It covers the fundamental principles of Synthetic Aperture Radar (SAR) interferometry, the specifics of EGMS product generation including the Basic (L2a), Calibrated (L2b), and Ortho (L3) InSAR products, and the Global Navigation Satellite System (GNSS) framework used for calibration. The document also details the distinct processing chains employed, focusing on their consistency, homogeneity, and the quality assurance measures implemented.",
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"keywords": [
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"SAR interferometry",
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"Persistent Scatterer Interferometry",
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"Persistent Scatterer Interferometry (PSI)",
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"Distributed Scatterers (DS)",
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"Atmospheric Phase Screen (APS)",
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"GNSS calibration",
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"Atmospheric Phase Screen estimation",
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"Line Of Sight (LOS) displacement",
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"Multi-interferogram techniques",
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"Line Of Sight displacement",
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"Differential interferogram generation",
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"Measurement point selection",
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"TOPSAR coregistration",
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"Distributed scatterer processing"
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"Enhanced Spectral Diversity (ESD)",
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"Temporal coherence",
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"Geometric distortions"
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]
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}

‎.llm_cache/DOCS__products__EGMS_EGMS_AEPND_V2022.0.qmd.json‎

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{
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"hash": "db36b6708813b38e6ac3ce0e98cab2d29916bb4870f964b68ca5136b8ce417e0",
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"intro": "This document provides Global Navigation Satellite System (GNSS) calibration data pertinent to the European Ground Motion Service (EGMS). The dataset comprises information related to Earth surface deformation measurements, specifically displacement values and their associated uncertainties, serving as a reference for validating and refining ground motion products derived from satellite-based InSAR techniques. The document is inherently technical, focused on the provision of data that supports the calibration of ground motion estimates.",
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"intro": "This document presents Global Navigation Satellite System (GNSS) calibration data for the European Ground Motion Service (EGMS) within the Copernicus Land Monitoring Service (CLMS). The data, provided in a tabular format, consists of latitude, longitude, and vertical/horizontal ground motion measurements (North, East, Up) along with their associated standard deviations. The technical focus of the document lies in providing precise georeferenced information crucial for calibrating and validating ground motion products derived from satellite-based interferometric techniques.",
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"keywords": [
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"GNSS calibration",
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"Earth surface deformation",
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"displacement uncertainties",
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"InSAR validation",
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"ground motion measurements",
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"coordinate estimation",
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"latitude",
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"longitude",
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"easting",
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"northing"
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"GNSS reference stations",
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"Ground displacement monitoring",
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"Geodetic surveying",
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"Interferometric validation",
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"Crustal deformation analysis",
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"Land subsidence measurement",
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"Spatial coordinates",
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"Deformation uncertainties",
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"Vertical land motion",
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"Easting Northing coordinates"
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]
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}

‎.llm_cache/DOCS__products__EGMS_product_description_2023.qmd.json‎

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{
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"hash": "1d80a91c072f4caada8a10d427dc5e7e427a899b6e3046b5983d564036548174",
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"intro": "This document provides a comprehensive description of the European Ground Motion Service (EGMS) products, which are part of the Copernicus Land Monitoring Service. It details the specifications, formats, attribute tables, and metadata associated with the EGMS Basic, Calibrated, and Ortho products. The document focuses on enabling users to fully understand and effectively utilise the InSAR-derived ground motion data, including product map projections, file naming conventions, and ancillary datasets used in EGMS production.",
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"intro": "This document provides a comprehensive description of the European Ground Motion Service (EGMS) products, which are essential for understanding and utilising the service effectively. It details the specifications, formats, attribute tables, and metadata of the EGMS products, including the Basic, Calibrated, and Ortho datasets. The document also clarifies InSAR-specific definitions, map projections, product attributes, data formats, and user downloading procedures, concluding with an overview of the ancillary datasets employed in EGMS production. This information is critical for users seeking to leverage the EGMS for ground motion monitoring and analysis.",
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"keywords": [
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"InSAR displacement data",
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"Satellite line-of-sight",
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"Line-of-sight projection",
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"GNSS time-series data",
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"Earth centred reference frame",
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"Vertical displacement component",
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"East-west displacement component",
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"Absolute displacement measurements",
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"Vertical and East-West displacement components",
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"ETRS89-LAEA projection",
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"Sentinel-1 burst segmentation",
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"Temporal coherence",
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"Amplitude Dispersion Index"
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"Amplitude Dispersion Index",
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"Sentinel-1 burst segmentation",
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"A-EPND reference model"
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]
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}

‎.llm_cache/DOCS__products__HRL_Grasslands_ProductUserManual_v1.0.qmd.json‎

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{
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"hash": "962d3b96dadb91e81223fcf9dfe36c674621fab3988b796bc1e86e53b110ea6a",
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"intro": "This Product User Manual (PUM) serves as a comprehensive guide for users of the Copernicus Land Monitoring Service (CLMS) High Resolution Layer (HRL) Grasslands product. It details the product's characteristics, production methodologies, quality assessment, and usage terms. The document provides technical specifications, including nomenclature, file formats, spatial resolution, and temporal information, as well as insights into potential applications and use cases of the HRL Grasslands data, with a focus on mapping grassland extent, mowing events and temporal dynamics of herbaceous vegetation.",
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"intro": "This Product User Manual (PUM) serves as a comprehensive guide for users of the Copernicus Land Monitoring Service (CLMS) High Resolution Layer (HRL) Grasslands product. It details the characteristics, production methodologies, and quality assessment of the annual HRL Grasslands data, which provides valuable information on vegetated land cover across Europe. The manual outlines product lineage, user requirements, potential applications, and technical specifications, ensuring users can effectively utilise this 10-meter spatial resolution raster product for environmental monitoring and policy support.",
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"keywords": [
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"High Resolution Layers Grasslands",
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"Herbaceous Cover",
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"Grassland Mowing Events",
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"Ploughing Indicator",
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"Grassland Change detection",
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"Sentinel-2 time-series analysis",
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"Cloud-Optimized GeoTIFF",
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"Overall Accuracy assessment",
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"Minimum Mapping Unit",
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"Base Vegetation Layer classification",
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"LAEA tile grid"
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"Base Vegetation Layer",
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"EAGLE Land Cover Components",
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"LAEA tile grid",
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"Product accuracy assessment"
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]
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}

‎.llm_cache/DOCS__products__HRL_VLCC_ATBD_v2.1.qmd.json‎

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{
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"hash": "84c96b0f1bd9b8f435d1e862b8d14b2690dc6f1437c6115ea9d36aa8f7c7e26a",
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"intro": "This Algorithm Theoretical Basis Document (ATBD) provides a comprehensive description of the methodologies and algorithms employed to generate the High-Resolution Vegetated Land Cover Characteristics (HRL VLCC) products within the Copernicus Land Monitoring Service (CLMS). These products offer detailed annual maps and change layers for Tree Cover & Forests, Grasslands, and Croplands across Europe, utilising Sentinel-2 imagery and advanced processing techniques. The document details the scientific underpinnings of the HRL VLCC products, enabling their effective application in environmental monitoring, agricultural management, and policy compliance.",
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"intro": "This Algorithm Theoretical Basis Document (ATBD) provides a detailed description of the methodologies and algorithms used to generate the High-Resolution Vegetated Land Cover Characteristics (HRL VLCC) products within the Copernicus Land Monitoring Service (CLMS). It encompasses the scientific rationale, data processing steps, and post-classification procedures applied to create annual maps and change layers for Tree Cover & Forests, Grasslands, and Croplands. The document outlines the technical specifications of the Base Vegetation Layer (BVL), tree cover density (TCD), dominant leaf type (DLT), herbaceous cover (HER), ploughing indicator (PLOUGH), grassland mowing events (GRAME), crop types (CTY), and cropping patterns (CP), as well as associated confidence layers. The focus is on the use of Sentinel-2 imagery, Sentinel-1 radar data, and ancillary datasets within advanced machine learning workflows, including temporal convolutional neural networks and transformer-based models, to produce high-quality, consistent land cover information for environmental monitoring and policy support.",
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"keywords": [
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"Base Vegetation Layer",
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"Temporal Convolutional Neural Network",
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"Tree Cover Density estimation",
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"Dominant Leaf Type classification",
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"Grassland Mowing Events detection",
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"Dynamic Time Warp",
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"Crop Type classification",
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"Base Vegetation Layer (BVL)",
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"Temporal Convolutional Neural Network (TempCNN)",
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"Tree Cover Density (TCD)",
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"Dominant Leaf Type (DLT)",
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"Herbaceous Cover (HER)",
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"Ploughing Indicator (PLOUGH)",
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"Grassland Mowing Events (GRAME)",
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"Crop Types (CTY)",
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"Transformer-based feature extraction",
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"Growing season delineation",
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"Fraction of Absorbed Photosynthetic Active Radiation"
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"Growing season delineation"
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]
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}

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