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Luego aprenderás cómo instalar y trabajar con MALLET, una caja de herramientas para procesamiento de lenguajes naturales (PLN) que sirve para realizar este tipo de análisis. MALLET requiere que se modifique una variable de entorno (esto es, configurar un atajo para que la computadora sepa en todo momento dónde encontrar el programa MALLET) y que se trabaje con la línea de comandos (es decir, tecleando comandos manualmente en vez de hacer clic en íconos o menús).", "abstract_format": "filtered_html", "subject": "Arts and Humanities", "keywords": [ "Data access methods", "Data modeling", "Data skills education", "Digital humanities", "Humanities data", "Programming", "Software management" ], "license": "", "usage_info": "", "citation": "Shawn Graham, Scott Weingart, y Ian Milligan, \"Introducci\u00f3n a Topic Modeling y MALLET\", traducido por Ulrike Henny-Krahmer, The Programming Historian en espa\u00f1ol 2 (2018), https://doi.org/10.46430/phes0040.", "locator_data": "10.46430/phes0040", "locator_type": "DOI", "publisher": "The Programming Historian", "version": "", "created": "2021-06-01T17:00:29", "published": "2012-09-02T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en" ], "ed_frameworks": [], "target_audience": [ "Early-career research scientist", "Graduate student", "Librarian", "Mid-career research scientist", "Research faculty", "Research scientist", "Software engineer", "Technology expert group", "Undergraduate student" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.", "lr_type": "Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "af3793fd-2008-315f-9f10-4a79adef3b9f", "contributors": [], "contributor_orgs": [], "score": 3.215359, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Un Vistazo a C\u00f3mo la NASA Mide la Contaminaci\u00f3n del Aire [Introductorio]", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:48Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset", "access_cost": 0, "submitter_name": "zohreh mehrabi", "submitter_email": "zmehrabi@unm.edu", "authors": [ { "givenName": "Melanie", "familyName": "Follette-Cook", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Ana", "familyName": "Prados", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Pawan", "familyName": "Gupta", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Melanie Follette-Cook", "Ana Prados", "Pawan Gupta" ], "author_org": { "name": "NASA Applied Remote Sensing Training Program (ARSET)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Brock Blevins", "org": "NASA Applied Remote Sensing Training Program (ARSET)", "email": "" }, "abstract_data": "\u00bfLe gustar\u00eda saber c\u00f3mo acceder y visualizar im\u00e1genes satelitales de la NASA? La reciente disminuci\u00f3n de la contaminaci\u00f3n atmosf\u00e9rica a nivel mundial debido al baj\u00f3n econ\u00f3mico ha capturado la atenci\u00f3n del mundo entero y recibido mucha cobertura medi\u00e1tica. Inspir\u00e1ndose en ello, esta serie de dos webinars imparte conocimiento fundamental para novatos y sirve de curso de repaso para los dem\u00e1s. Ud. aprender\u00e1 cu\u00e1les son los contaminantes que se pueden medir desde el espacio, c\u00f3mo los sat\u00e9lites hacen estas mediciones, lo que se debe hacer y no se debe hacer al momento de interpretar datos satelitales y c\u00f3mo descargar y crear sus propias visualizaciones.\u00a0
\n
\nObjetivos de Aprendizaje:Al finalizar esta capacitaci\u00f3n, los/las participantes podr\u00e1n: \n \n
\nPrerrequisitos:\u00a0Fundamentos de la Teledetecci\u00f3n (Percepci\u00f3n Remota)\u00a0-\u00a0 recomendado pero no obligatorio
\n
\nParte 1: Di\u00f3xido de Nitr\u00f3geno (NO2) \n \nParte 2: Part\u00edculas (Aerosoles) \n \n \n", "abstract_format": "filtered_html", "subject": "Education: Science and Mathematics Education", "keywords": [ "Air quality data", "Environmental change records", "Environmental management", "Geospatial data", "Remote sensing", "Satellite imagery", "User guides for Earth science data" ], "license": "Creative Commons Attribution 2.0 Generic - CC BY 2.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "NASA Applied Remote Sensing Training Program (ARSET)", "version": "", "created": "2020-10-08T11:14:16", "published": "2020-05-26T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en" ], "ed_frameworks": [], "target_audience": [ "Citizen scientist", "Data policymaker", "Data professional", "Early-career research scientist", "Educator", "Graduate student", "Mid-career research scientist", "Research scientist", "Technology expert group", "Undergraduate student" ], "purpose": "Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Presentation - representation of the particular way in which an author shows, describes or explains one or more concepts, e.g., a set of Powerpoint slides.", "lr_type": "Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.", "creator": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "67c4bfcd-a957-3489-b355-8b9661a04e16", "contributors": [], "contributor_orgs": [], "score": 3.215359, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Mapeo y Monitoreo de los Bosques con Datos SAR [Avanzado]", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:46Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://arset.gsfc.nasa.gov/land/webinars/bosques-sar?utm_source=social&utm_medium=ext&utm_campaign=SAR-Landcover-ES", "access_cost": 0, "submitter_name": "zohreh Mehrabi", "submitter_email": "zmehrabi@unm.edu", "authors": [ { "givenName": "Erika", "familyName": "Podes", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Amber", "familyName": "McCullum", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Juan", "familyName": "Luis Torres Perez", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Sean", "familyName": "McCartney", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Erika Podes", "Amber McCullum", "Juan Luis Torres Perez", "Sean McCartney" ], "author_org": { "name": "NASA Applied Remote Sensing Training Program (ARSET)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Brock Blevins", "org": "NASA Applied Remote Sensing Training Program (ARSET)", "email": "" }, "abstract_data": "Esta capacitaci\u00f3n avanzada cubrir\u00e1 los siguientes temas 1) an\u00e1lisis del cambio en los bosques con datos SAR multi-temporales utilizando Google Earth Engine (GEE); 2) la clasificaci\u00f3n de la cobertura terrestre con datos SAR y \u00f3pticos utilizando GEE; 3) el mapeo de manglares con SAR; 4) y la estimaci\u00f3n de la altura de los bosques utilizando SAR. Cada sesi\u00f3n incluir\u00e1 una porci\u00f3n te\u00f3rica describiendo el uso de SAR para el mapeo de la cobertura relevante el\u00a0enfoque de la sesi\u00f3n, seguida por una demostraci\u00f3n de c\u00f3mo acceder, descargar y analizar datos SAR para el mapeo y monitoreo del bosque. Estas demostraciones utilizan datos y software de\u00a0libre acceso y de fuente abierta.
\n
\nObjetivos de Aprendizaje:\u00a0 \n \nFormato del\u00a0Curso:\u00a0 \n \n \n
\nPrerequisitos:\u00a0
\nCompletar los\u00a0Fundamentos de la Percepci\u00f3n Remota (Teledetecci\u00f3n),\u00a0Introducci\u00f3n al Radar de Apertura Sint\u00e9tica\u00a0y\u00a0SAR y sus Aplicaciones para la Cobertura Terrestre\u00a0o tener experiencia equivalente. Los participantes que no completen los prerrequisitos podr\u00edan no estar lo suficientemente preparados para el ritmo de la capacitaci\u00f3n.
\nSoftware instrucciones
\nPuede seguir las demostraciones utilizando el software enumerado a continuaci\u00f3n. Las grabaciones de cada parte estar\u00e1n disponibles en YouTube dentro de 24 horas despu\u00e9s de cada demostraci\u00f3n para que usted pueda repasarlas a su propio ritmo.
\nPrimera Parte: SAR para el Mapeo de Inundaciones Utilizando Google Earth Engine
\nGoogle Earth Engine
\nSegunda Parte: SAR Interferom\u00e9trico para la Observaci\u00f3n de Derrumbes
\nTercera Parte: Generaci\u00f3n de un Modelo de Elevaci\u00f3n Digital (Digital Elevation Model o DEM)
\nPara ambas partes, los presentadores utilizar\u00e1n el\u00a0Sentinel-1 Toolbox
\n
\nPrimera Parte: An\u00e1lisis del Cambio en los Bosques con Datos SAR Multi-Temporales
\n\u0095 Introducci\u00f3n al an\u00e1lisis e interpretaci\u00f3n de datos SAR para el mapeo de los bosques\u00a0
\n\u0095 Ejercicio:\u00a0Datos SAR multi-temporales para el an\u00e1lisis del cambio en los bosques usando GEE\u00a0
\n\u0095 Sesi\u00f3n de preguntas y respuestas
\n
\nSegunda Parte: Clasificaci\u00f3n de la Cobertura Terrestre con Datos SAR y \u00d3pticos
\n\u0095 Repaso de las caracteristicas de los datos SAR y \u00f3pticos relevantes al mapeo de bosques y c\u00f3mo se pueden complementar entre s\u00ed
\n\u0095 Algoritmos para la clasificaci\u00f3n con im\u00e1genes \u00f3pticas\u00a0
\n\u0095 Ejercicio: Clasificaci\u00f3n de la cobertura terrestre con datos SAR y opticos usando GEE\u00a0
\n\u0095 Sesi\u00f3n de preguntas y respuestas
\n
\nTercera Parte: Mapeo de Manglares
\n\u0095 Introducci\u00f3n al an\u00e1lisis e interpretaci\u00f3n de datos SAR para el mapeo de manglares\u00a0
\n\u0095 Ejercicio: El mapeo de\u00a0Manglares con el Sentinel Toolbox\u00a0
\n\u0095 Sesi\u00f3n de preguntas y respuestas
\n
\nCuarta Parte: Estimaci\u00f3n de la Altura de los Bosques con SAR (Presentador Invitado el Dr. Paul Siqueira)
\n\u0095 Introducci\u00f3n al uso de datos SAR para estimar la altura de los bosques
\n\u0095 Aplicaciones y a la espera de NISAR en el 2022\u00a0
\n\u0095 Demo: Estimacion de la altura de los bosques\u00a0
\n\u0095 Sesi\u00f3n de preguntas y respuestas", "abstract_format": "filtered_html", "subject": "Education: Science and Mathematics Education", "keywords": [ "Agriculture data", "Conservation", "Data access", "Environmental change records", "Environmental management", "Forest mapping applications", "Land management", "Landcover applications", "Open access", "Open data", "Remote sensing", "Satellite imagery", "Sustainable cities", "Sustainable Development Goals (SDGs)" ], "license": "Creative Commons Attribution 2.0 Generic - CC BY 2.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "NASA Applied Remote Sensing Training Program (ARSET)", "version": "", "created": "2020-09-18T14:17:25", "published": "2020-05-12T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en" ], "ed_frameworks": [], "target_audience": [ "Data manager", "Data policymaker", "Early-career research scientist", "Mid-career research scientist", "Research scientist", "Technology expert group" ], "purpose": "Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.", "completion_time": "Up to 1 hour", "media_type": "Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.", "lr_type": "Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.", "creator": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "396bb7ab-a914-34b2-903c-aefa350138e4", "contributors": [], "contributor_orgs": [], "score": 3.215359, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Teledetecci\u00f3n de Ecosistemas Costeros", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:46Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://appliedsciences.nasa.gov/join-mission/training/spanish/arset-teledeteccion-de-ecosistemas-costeros", "access_cost": 0, "submitter_name": "zohreh mehrabi", "submitter_email": "zmehrabi@unm.edu", "authors": [ { "givenName": "Juan", "familyName": "Torres-Perez", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Amber", "familyName": "McCullum", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Juan Torres-Perez", "Amber McCullum" ], "author_org": { "name": "NASA Applied Remote Sensing Training Program (ARSET)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Brock Blevins", "org": "NASA Applied Remote Sensing Training Program (ARSET)", "email": "" }, "abstract_data": "
Los ecosistemas marinos y costeros tienen roles vitales en el almacenamiento de carbono, reciclaje de nutrientes y otros materiales, al igual que sirven de reservorios de biodiversidad. Adem\u00e1s, proveen servicios ecosist\u00e9micos tales como comida para millones de personas, protecci\u00f3n costera contra el oleaje, y actividades recreativas.\u00a0La teledetecci\u00f3n de los ecosistemas costeros y marinos es particularmente dif\u00edcil. Hasta el 80% de la se\u00f1al recibida por los sensores en \u00f3rbita proviene de la atm\u00f3sfera. Adem\u00e1s, los componentes de la columna de agua (disueltos y suspendidos) aten\u00faan la mayor parte de la luz mediante absorci\u00f3n o dispersi\u00f3n. Cuando se trata de recuperar informaci\u00f3n del fondo del oc\u00e9ano, incluso en las aguas m\u00e1s claras, solo menos del 10% de la se\u00f1al proviene de el fondo marino. Los usuarios, particularmente aquellos con poca experiencia en teledetecci\u00f3n, pueden beneficiarse de esta capacitaci\u00f3n que cubre algunas de las dificultades asociadas con la teledetecci\u00f3n de ecosistemas costeros, particularmente playas y comunidades bent\u00f3nicas tales como arrecifes de coral y yerbas marinas.
\n
\n
\nOBJETIVOS DE APRENDIZAJEAl
\nfinal de esta capacitaci\u00f3n, los asistentes podr\u00e1n: \n \n
\nFORMATO DEL CURSO \n \n
\nParte Uno: Una Mirada a los Ecosistemas Costeros y la Teledetecci\u00f3n \n \n
\nParte Dos: Penetraci\u00f3n de la Luz en la Columna de Agua \n \nParte Tres: Teledetecci\u00f3n de Componentes de la L\u00ednea de Costa \n \n \n \n
Materiales:
\n \n \n", "abstract_format": "filtered_html", "subject": "Education: Science and Mathematics Education", "keywords": [ "Biodiversity data", "Coastal data", "Environmental management", "Marine data", "Remote sensing", "Satellite imagery" ], "license": "Creative Commons Attribution 2.0 Generic - CC BY 2.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "NASA Applied Remote Sensing Training Program (ARSET)", "version": "", "created": "2020-09-24T12:43:31", "published": "2020-08-25T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en" ], "ed_frameworks": [], "target_audience": [ "Citizen scientist", "Data policymaker", "Data professional", "Early-career research scientist", "Graduate student", "Mid-career research scientist", "Research scientist", "Undergraduate student" ], "purpose": "Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Presentation - representation of the particular way in which an author shows, describes or explains one or more concepts, e.g., a set of Powerpoint slides.", "lr_type": "Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.", "creator": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "865905ea-4bd5-3449-9182-51a9811643ea", "contributors": [], "contributor_orgs": [], "score": 3.215359, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "SAR para Desastres y Aplicaciones Hidrol\u00f3gicas [Avanzado]", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:45Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset", "access_cost": 0, "submitter_name": "zohreh Mehrabi", "submitter_email": "zmehrabi@unm.edu", "authors": [ { "givenName": "Erika", "familyName": "Podes", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Sean", "familyName": "McCartney", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Eric", "familyName": "Jameson Fielding", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Alexander", "familyName": "Louis Handwerger", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Nicol\u00e1s A.", "familyName": "Grunfeld Brook", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Erika Podes", "Sean McCartney", "Eric Jameson Fielding", "Alexander Louis Handwerger", "Nicol\u00e1s A. Grunfeld Brook" ], "author_org": { "name": "NASA Applied Remote Sensing Training Program (ARSET)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Brock Blevins", "org": "NASA Applied Remote Sensing Training Program (ARSET)", "email": "" }, "abstract_data": "Esta capacitaci\u00f3n se basar\u00e1 en las capacidades de utilizar Google Earth Engine para el mapeo de inundaciones a partir de datos de radar ense\u00f1adas en capacitaciones ARSET de SAR anteriores. Esta capacitaci\u00f3n presenta dos temas nuevos; el uso de InSAR para la caracterizaci\u00f3n de derrumbes y la generaci\u00f3n de un modelo de elevaci\u00f3n digital (digital elevation model o DEM).
\n
\nObjetivos de Aprendizaje:\u00a0Para la conclusi\u00f3n de esta capacitaci\u00f3n, los participantes podr\u00e1n: \n \nFormato del Curso:\u00a0 \n \n \nPrerrequisitos:
\nLos prerrequisitos no son obligatorios para esta capacitaci\u00f3n, pero quienes no los completen podr\u00edan no estar lo suficientemente preparados para esta.\u00a0 \n \nPrimera Parte: SAR para el Mapeo de Inundaciones Utilizando Google Earth Engine
\nEsta sesi\u00f3n estar\u00e1 enfocada en el uso de of Google Earth Engine (GEE) para generar un mapa de inundaci\u00f3n utilizando im\u00e1genes SAR de Sentinel-1. \u00a0La primera parte de la sesi\u00f3n cubrir\u00e1 los principios b\u00e1sicos de SAR relacionados con las inundaciones. El resto de la sesi\u00f3n ser\u00e1 dedicada a una demostraci\u00f3n de c\u00f3mo utilizar GEE para generar productos relevantes a la extensi\u00f3n de inundaciones y c\u00f3mo integrar datos socioecon\u00f3micos al mapeo de inundaciones para identificar \u00e1reas en peligro.\u00a0
\n
\nSegunda Parte: SAR Interferom\u00e9trico para la Observaci\u00f3n de Derrumbes
\nDirigida por el presentador invitado, el Dr. Eric Fielding\u00a0de JPL, esta sesi\u00f3n se enfocar\u00e1 en la observaci\u00f3n de derrumbes. Desarrollar\u00e1 las capacidades con InSAR ense\u00f1adas en las tres anteriores series de webinars de SAR. La primera parte de la sesi\u00f3n cubrir\u00e1 la f\u00edsica de InSAR relacionada con los derrumbes.\u00a0El resto se enfocar\u00e1 en c\u00f3mo generar e interpretar el producto derrumbes derivado.
\n
\nTercera Parte: Generaci\u00f3n de un Modelo de Elevaci\u00f3n Digital (Digital Elevation Model o DEM)
\nA cargo de un presentador invitado de la agencia espacial argentina, CONAE, los participantes aprender\u00e1n c\u00f3mo generar un modelo de elevaci\u00f3n digital (DEM) a trav\u00e9s de t\u00e9cnicas de InSAR.\u00a0 La primera parte de la sesi\u00f3n cubrir\u00e1 la f\u00edsica de utilizar dos im\u00e1genes de fase de SAR para generar un DEM. El resto del tiempo se enfocar\u00e1 en c\u00f3mo generar un DEM. \n
\u00a0
\n", "abstract_format": "filtered_html", "subject": "Education: Science and Mathematics Education", "keywords": [ "Agriculture data", "Disaster applications", "Elevation data", "Environmental management", "Flood mapping applications", "Hydrologic data", "Land management", "Landcover applications", "Remote sensing", "Satellite imagery", "Sustainable Development Goals (SDGs)", "Synthetic aperture radar data (SAR)" ], "license": "Creative Commons Attribution 2.0 Generic - CC BY 2.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "NASA Applied Remote Sensing Training Program (ARSET)", "version": "", "created": "2020-09-17T10:47:48", "published": "2019-12-03T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en" ], "ed_frameworks": [], "target_audience": [ "Citizen scientist", "Data manager", "Data policymaker", "Early-career research scientist", "Mid-career research scientist", "Research scientist", "Technology expert group" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.", "lr_type": "Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.", "creator": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "1db9163a-2379-3160-95f4-5587852c4f5c", "contributors": [], "contributor_orgs": [], "score": 3.215359, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Utilizando el UN Biodiversity Lab para Apoyar los Objetivos Nacionales de Conservaci\u00f3n y Desarrollo Sostenible [Introductoria]", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:45Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset", "access_cost": 0, "submitter_name": "zohreh Mehrabi", "submitter_email": "zmehrabi@unm.edu", "authors": [], "author_names": [], "author_org": { "name": "NASA Applied Remote Sensing Training Program (ARSET)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Brock Blevins", "org": "NASA Applied Remote Sensing Training Program (ARSET)", "email": "" }, "abstract_data": "
A inicios de la cuarta revoluci\u00f3n industrial, la tecnolog\u00eda est\u00e1 revolucionando nuestra capacidad de mapear la naturaleza. Los datos satelitales proporcionan una vista panor\u00e1mica pero a la vez incre\u00edblemente detallada de la superficie de la Tierra en tiempo real mientras que los drones y las aplicaciones m\u00f3viles permiten que las comunidades locales y los pueblos ind\u00edgenas mapeen su conocimiento de ecosistemas locales.\u00a0Para poder ayudar a los formuladores de pol\u00edticas a desarrollar soluciones para el desarrollo sostenible basadas en datos y pol\u00edticas enfocadas, el UNDP, el Programa de las Naciones Unidas para el Medio Ambiente (UNEP por sus siglas en ingl\u00e9s) y la Secretar\u00eda del Convenio sobre la Diversidad Biol\u00f3gica (CDB) lanzaron el UN Biodiversity Lab con financiaci\u00f3n del GEF y apoyo de MapX, el Centro de Monitoreo de la Conservaci\u00f3n Mundial del UNEP,\u00a0la Base de Datos Mundial sobre Recursos de Informaci\u00f3n \u0096 Ginebra y la NASA.\u00a0El UN Biodiversity Lab\u00a0es una plataforma en l\u00ednea que permite a los formuladores de pol\u00edticas y otras partes interesadas acceder a capas de datos a nivel mundial, cargar conjuntos de datos nacionales y analizar estos conjuntos de datos en combinaci\u00f3n para brindar informaci\u00f3n clave sobre los Objetivos Aichi para la Biodiversidad del CDB y sobre los Objetivos de Desarrollo Sostenible relacionados con la naturaleza. Ya lo est\u00e1n utilizando en m\u00e1s de 50 pa\u00edses, incluso como el principal sistema de apoyo a la toma de decisiones para dos proyectos de ciencias aplicadas financiados por la NASA. El UN Biodiversity Lab tiene un alto potencial de ser escalado para llegar a nuevos ministerios y pa\u00edses y grupos de partes interesadas.\u00a0
\n \n
Existe una demanda a nivel mundial de m\u00e1s capacitaciones NASA ARSET enfocadas en la biodiversidad, conservaci\u00f3n, los Objetivos de Desarrollo Sostenible (ODS) de la ONU y sobre c\u00f3mo conectar datos de sat\u00e9lites de la NASA con sistemas ecol\u00f3gicos y aquellos que han sido influidos por la actividad humana. Esta capacitaci\u00f3n pretende llenar este vac\u00edo extendiendo la influencia de esta herramienta apoyada por la NASA y fomentando su diseminaci\u00f3n, utilizaci\u00f3n y \u00e9xito general. El \u00a0UN Biodiversity Lab hace conjuntos de datos mundiales sobre la biodiversidad y el desarrollo sostenible f\u00e1cilmente accesibles, apoyando a nuestro p\u00fablico variado.
\n
\nObjetivos de Aprendizaje:\u00a0Para la conclusi\u00f3n de esta capacitaci\u00f3n, los/las participantes podr\u00e1n: \n \n \nFormato del Curso: \n \n \nPrerrequisitos:\u00a0
\nLos participantes que no completen los prerrequisitos podr\u00edan no estar lo suficientemente preparados para el ritmo de la capacitaci\u00f3n.
\n
\nFundamentos de la Percepci\u00f3n Remota (Teledetecci\u00f3n)\u00a0Diapositivas de la Presentaci\u00f3n \u00bb
\n
\nPrimera Parte: Introducci\u00f3n a Datos Espaciales y Pol\u00edticas para la Diversidad Biol\u00f3gica
\nSegunda Parte: El UN Biodiversity Lab\u00a0
\nTercera Parte: Casos de Uso por Pa\u00edses\u00a0
\n\u00a0", "abstract_format": "filtered_html", "subject": "Education: Science and Mathematics Education", "keywords": [ "Aichi Biodiversity Targets (ABTs)", "Capacity building", "Conservation", "Data access", "Environmental management", "Land management", "Remote sensing", "Satellite imagery", "Sustainable Development Goals (SDGs)" ], "license": "Creative Commons Attribution 2.0 Generic - CC BY 2.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "NASA Applied Remote Sensing Training Program (ARSET)", "version": "", "created": "2020-09-17T12:43:43", "published": "2020-03-24T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en", "fr" ], "ed_frameworks": [], "target_audience": [ "Citizen scientist", "Data manager", "Data policymaker", "Early-career research scientist", "Mid-career research scientist", "Research scientist", "Technology expert group" ], "purpose": "Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.", "lr_type": "Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.", "creator": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "2b758b17-e587-3e73-a4fa-a4c18156f446", "contributors": [ { "familyName": "McCullum", "givenName": "Amber", "type": "Co-presenter" } ], "contributor_orgs": [ { "name": "Programa de la ONU para el Desarrollo", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "Programa de las Naciones Unidas para el Medio Ambiente", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "convenio sobre la diversidad biol\u00f3gica", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "Fondo para el Medio Ambiente Mundial", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Funding and sponsorship" } ], "score": 3.215359, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "SAR y sus Aplicaciones para la Cobertura Terrestre [Avanzado]", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:44Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset", "access_cost": 0, "submitter_name": "zohreh Mehrabi", "submitter_email": "zmehrabi@unm.edu", "authors": [ { "givenName": "Erika", "familyName": "Podes", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Sean", "familyName": "McCartney", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Heather", "familyName": "McNairn", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Xianfeng", "familyName": "Jiao", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Sarah", "familyName": "Banks", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Amir", "familyName": "Behnamian", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Erika Podes", "Sean McCartney", "Heather McNairn", "Xianfeng Jiao", "Sarah Banks", "Amir Behnamian" ], "author_org": { "name": "NASA Applied Remote Sensing Training Program (ARSET)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Brock Blevins", "org": "NASA Applied Remote Sensing Training Program (ARSET)", "email": "" }, "abstract_data": "Esta capacitaci\u00f3n se basar\u00e1 en los conocimientos y las habilidades adquiridas en capacitaciones anteriores de ARSET sobre radar de apertura sint\u00e9tica (synthetic aperture radar o SAR). Las presentaciones y demostraciones se enfocar\u00e1n en aplicaciones para la agricultura y para desastres. Los participantes aprender\u00e1n a utilizar im\u00e1genes SAR 1) para caracterizar inundaciones con Google Earth Engine 2) y para aplicaciones en la agricultura incluyendo estimaci\u00f3n de la humedad del suelo e identificaci\u00f3n de cultivos.
\n
\nObjetivos de Aprendizaje:\u00a0Para la conclusi\u00f3n de esta capacitaci\u00f3n, los participantes podr\u00e1n: \n
    \n\t
  1. analizar datos SAR en Google Earth Engine para el mapeo de inundaciones
    2. \n\t
  2. generar an\u00e1lisis de la humedad del suelo
    3. \n\t
  3. identificar diferentes tipos de cultivos
    4. \n
\nFormato del Curso:\u00a0Dos\u00a0partes de dos horas cada una \n \n \n
\nPrerequisites:
\n
\nLos prerrequisitos no son obligatorios para esta capacitaci\u00f3n, pero quienes no los completen podr\u00edan no estar lo\u00a0suficientemente preparados para esta capacitaci\u00f3n \n \nInscripciones:
\nDebido a la demanda anticipada, por favor inscr\u00edbase solo para la sesi\u00f3n en espa\u00f1ol o la sesi\u00f3n en ingl\u00e9s.
\n
\nParte Uno: SAR para el Mapeo de Inundaciones Utilizando Google Earth Engine
\nEsta parte\u00a0estar\u00e1 enfocada en el uso de Google Earth Engine (GEE) para mapear inundaciones utilizando im\u00e1genes SAR de Sentinel-1. La primera parte de la sesi\u00f3n cubrir\u00e1 los principios b\u00e1sicos de SAR relacionados a las inundaciones. El resto de la sesi\u00f3n estar\u00e1 enfocada en una demostraci\u00f3n de c\u00f3mo utilizar\u00a0GEE para generar mapas de inundaci\u00f3n con Sentinel-1.
\nParte Dos: SAR para el Monitoreo Agr\u00edcola
\nEsta\u00a0parte\u00a0estar\u00e1 enfocada en el uso de SAR para monitorear diferentes aspectos relacionados con la agricultura, extendiendo los conocimientos adquiridos en la sesi\u00f3n de SAR para la agricultura del 2018. El resto de la sesi\u00f3n estar\u00e1 enfocada en el uso de SAR para estimar la humedad del suelo e identificar diferentes tipos de cultivos. La Dra. Heather McNairn, de Agriculture and Agri-Food Canad\u00e1, ser\u00e1 la presentadora de esta sesi\u00f3n.
\n\u00a0", "abstract_format": "filtered_html", "subject": "Education: Science and Mathematics Education", "keywords": [ "Agriculture data", "Capacity building", "Data access", "Data analysis", "Environmental management", "Flood mapping applications", "Land management", "Landcover applications", "Lidar technology", "Remote sensing", "Satellite imagery", "Soil moisture analysis", "Soils software and data management applications", "Synthetic aperture radar data (SAR)" ], "license": "Creative Commons Attribution 2.0 Generic - CC BY 2.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "NASA Applied Remote Sensing Training Program (ARSET)", "version": "", "created": "2020-09-16T16:03:26", "published": "2019-08-28T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en" ], "ed_frameworks": [], "target_audience": [ "Citizen scientist", "Data manager", "Data policymaker", "Early-career research scientist", "Mid-career research scientist", "Research scientist", "Technology expert group" ], "purpose": "Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Presentation - representation of the particular way in which an author shows, describes or explains one or more concepts, e.g., a set of Powerpoint slides.", "lr_type": "Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.", "creator": "zmehrabi", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "fb4fb416-2f18-320a-b0c4-2b495fdd6a08", "contributors": [], "contributor_orgs": [], "score": 3.215359, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Teledetecci\u00f3n para el Monitoreo de los ODS sobre la Degradaci\u00f3n de Tierras y Ciudades Sostenibles", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:58:43Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset", "access_cost": 0, "submitter_name": "Brock Blevins", "submitter_email": "brock.blevins@nasa.gov", "authors": [ { "givenName": "Brock", "familyName": "Blevins", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Brock Blevins" ], "author_org": { "name": "NASA Applied Remote Sensing Training Program (ARSET)", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "Brock Blevins", "org": "NASA Applied Remote Sensing Training Program (ARSET)", "email": "" }, "abstract_data": "Los Objetivos de Desarrollo Sostenible (ODS) son un llamado urgente a la acci\u00f3n a todos los pa\u00edses para preservar nuestros oc\u00e9anos y bosques, reducir la desigualdad y fomentar el crecimiento econ\u00f3mico. Los ODS sobre la gesti\u00f3n de tierras exigen un seguimiento consistente de las m\u00e9tricas de la cobertura terrestre. Estas m\u00e9tricas incluyen productividad, cobertura terrestre, carbono en el suelo, expansi\u00f3n urbana y m\u00e1s. Esta serie de webinars resaltar\u00e1 una herramienta que utiliza observaciones de la tierra de la NASA para monitorear la degradaci\u00f3n de las tierras y el desarrollo urbano que cumplen las metas de los ODS apropiados. \u00a0
\n
\nLos ODS 11 y 15 tratan la urbanizaci\u00f3n sostenible as\u00ed como el uso y los cambios en la cobertura terrestre. El ODS anhela \u0093lograr que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles.\u0094 El ODS 15 promueve \u0093luchar contra la desertificaci\u00f3n, la sequ\u00eda y las inundaciones y procurar lograr un mundo con una degradaci\u00f3n neutra del suelo.\" Para evaluar el progreso hacia estos fines, hay indicadores establecidos, muchos de los cuales se pueden monitorear mediante la teledetecci\u00f3n.
\n
\nEn esta capacitaci\u00f3n los/las participantes aprender\u00e1n a utilizar un plugin de QGIS libremente disponible, Trends.Earth, creado por Conservation International (CI). Trends.Earth permite a los usuarios diagramar series temporales de indicadores clave de cambios en la cobertura terrestre. Los/las participantes aprender\u00e1n a producir mapas y figuras para apoyar el seguimiento y la informaci\u00f3n sobre la degradaci\u00f3n de tierras, mejoras y urbanizaci\u00f3n para los indicadores de los ODS 15.3.1 y 11.3.1. Cada parte de esta serie contendr\u00e1 una presentaci\u00f3n, un ejercicio pr\u00e1ctico y tiempo para hacerle preguntas en vivo al presentador/ la presentadora.\u00a0\u00a0
\n
\nObjetivos de Aprendizaje:
\n
\nDurante esta capacitaci\u00f3n, usted har\u00e1 lo siguiente: \n \nFormato del Curso: \n \n \nPrima Parte
\n
\nEn esta sesi\u00f3n aprender\u00e1n acerca del marco de los ODS y la coordinaci\u00f3n entre agencias a nivel mundial; se familiarizar\u00e1n con el ODS 15, Meta 15.3 e Indicador 15.3.1; aprender\u00e1n sobre el concepto de la productividad primaria neta y c\u00f3mo monitorear esa m\u00e9trica con datos por teledetecci\u00f3n; tambi\u00e9n aprenderemos c\u00f3mo visualizar e interpretar datos por teledetecci\u00f3n asociados con el ODS 15 dentro de una herramienta para QGIS desarrollada por Conservation International llamada Trends.Earth como un ejercicio pr\u00e1ctico. \n \nSegunda Parte
\n
\nEn esta sesi\u00f3n, aprender\u00e1n acerca de los cambios en la cobertura terrestre y el carbono org\u00e1nico del suelo y c\u00f3mo monitorear esas m\u00e9tricas mediante la teledetecci\u00f3n; aprender\u00e1n acerca de los requisitos en cuanto a la presentaci\u00f3n de informes para el ODS 15; adem\u00e1s,visualizar\u00e1n e interpretar\u00e1n datos por teledetecci\u00f3n locales asociados con el ODS dentro de Trends.Earth. \n \nTercera Parte
\n
\nEn esta sesi\u00f3n aprender\u00e1n acerca del ODS 11, Meta 11.3 e Indicador 11.3.1; aprender\u00e1n acerca de las entradas necesarias para calcular el Indicador 11.3.1 y visualizar\u00e1n e interpretar\u00e1n el mapeo de \u00e1reas urbanas dentro de Trends.Earth. \n \n", "abstract_format": "filtered_html", "subject": "Physical Sciences and Mathematics: Earth Sciences", "keywords": [ "Agriculture data", "Capacity building", "Conservation", "Data access", "Environmental management", "Geographic Information System (GIS)", "Land management", "Open access", "Remote sensing", "Satellite imagery", "Sustainable cities", "Sustainable Development Goals (SDGs)" ], "license": "Creative Commons Attribution 2.0 Generic - CC BY 2.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "NASA Applied Remote Sensing Training Program (ARSET)", "version": "", "created": "2020-09-09T16:41:22", "published": "2019-07-09T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [ "en" ], "ed_frameworks": [], "target_audience": [ "Citizen scientist", "Data manager", "Data policymaker", "Early-career research scientist", "Research scientist" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.", "lr_type": "Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.", "creator": "Nhoebelheinrich", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "b4ba379c-87e5-380f-8572-f446bf6d62b9", "contributors": [ { "familyName": "McCullum", "givenName": "Amber", "type": "Co-presenter" } ], "contributor_orgs": [ { "name": "Conservation International", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "United Nations Convention to Combat Desertification (UNCCD)", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" }, { "name": "UN Habitat", "name_identifier": "N.A.", "name_identifier_type": "N.A.", "type": "Collaborator" } ], "score": 3.215359, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] }, { "title": "Administraci\u00f3n de Datos Biogeogr\u00e1ficos Marinos (Contribuyendo al Uso de OBIS) (2016)", "status": 1, "pub_status": "published", "modification_date": "2022-06-21T10:57:22Z", "resource_modification_date": "1900-01-01T00:00:00Z", "url": "https://classroom.oceanteacher.org/course/search.php?search=data+management", "access_cost": 0, "submitter_name": "Abby Pennington", "submitter_email": "abbypenn93@gmail.com", "authors": [ { "givenName": "Dairo", "familyName": "Escobar", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Venus", "familyName": "Rocha", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Julio", "familyName": "Bohorquez", "name_identifier": "", "name_identifier_type": "" }, { "givenName": "Carolina", "familyName": "Peralta", "name_identifier": "", "name_identifier_type": "" } ], "author_names": [ "Dairo Escobar", "Venus Rocha", "Julio Bohorquez", "Carolina Peralta" ], "author_org": { "name": "SiB Columbia", "name_identifier": "", "name_identifier_type": "" }, "contact": { "name": "", "org": "", "email": "" }, "abstract_data": "The course provides an introduction to the Ocean Biogeographic Information System (OBIS). It includes best practices in the management of marine biogeographic data, publication of data for free access (IPT), access to data, organization, analysis, and visualization.   NOTE: The URL provided brings you to a page for courses on topics related to data management.  Establishment of login credentials will be required to access the course described here and others on related topics.
\r\n
\r\nGoals:\r\n\r\nThere are four modules consisting of Spanish language slide presentations and videos:\r\n\r\n\r\n", "abstract_format": "filtered_html", "subject": "Physical Sciences and Mathematics: Oceanography and Atmospheric Sciences and Meteorology", "keywords": [ "Community standards", "Cyberinfrastructure to enable FAIR data principles", "Data access", "Data management", "Data quality - Core Trustworthy Data Repositories Requirements", "Data visualization tools", "Marine data", "Ocean data", "Open publications", "Organizing data" ], "license": "Creative Commons Attribution-ShareAlike 4.0 International License - CC BY-SA 4.0", "usage_info": "", "citation": "", "locator_data": "", "locator_type": "", "publisher": "Ocean Teacher Global Academy", "version": "", "created": "2018-04-06T16:01:00", "published": "2016-01-01T00:00:00Z", "accessibility_features": [], "accessibility_summary": "", "language_primary": "es", "languages_secondary": [], "ed_frameworks": [ { "name": "ICSU - World Data System Training Resources Guide", "nodes": [] } ], "target_audience": [ "Data professional", "Early-career research scientist", "Graduate student", "Mid-career research scientist", "Research faculty", "Research scientist" ], "purpose": "Instruction - detailed information about aspects or processes related to data management or data skills.", "completion_time": "More than 1 hour (but less than 1 day)", "media_type": "Presentation - representation of the particular way in which an author shows, describes or explains one or more concepts, e.g., a set of Powerpoint slides.", "lr_type": "Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.", "creator": "Apennington", "md_record_id": "", "ratings": [], "rating": 0.0, "id": "9b195ef0-3d26-352f-b274-e5d16912a70b", "contributors": [], "contributor_orgs": [], "score": 3.215359, "accesibility_summary": [], "country_of_origin": null, "credential_status": null, "notes": [] } ] }