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Conae: Misiones Satelitales De Radar Y Su Aporte Al Agro L CONAE: MISIONES SATELITALES DE RADAR Y SU APORTE AL AGRO L. Frulla 5 y 6 de septiembre, 2016 Buenos Aires (ARGENTINA) 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 1 Qué es la CONAE? Organismo del Estado Nacional con competencia para proponer las políticas que permiten promover y ejecutar en la Rep. Argentina las actividades en el área espacial con fines pacíficos (Decreto de Creación: 995/91) Se le asigna a la CONAE proponer e implementar un Plan Espacial Nacional como Política de Estado de prioridad nacional. (http://www.conae.gov.ar/index.php/espanol/) 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 2 Objetivos Principales de la CONAE Desarrollar conocimiento y tecnología en el área espacial para los sectores sociales, económicos y productivos Impulsar el desarrollo de la industria nacional Satisfacer las demandas y necesidades de los sectores económicos y de la sociedad en lo que hace a la información de origen espacial, ofreciendo la capacitación necesaria Plan Nacional Espacial 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 3 Plan Nacional Espacial Áreas Estratégicas Sectores de Información Espacial 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 4 Facilidades: Infraestructura SAC-D/Aquarius Landsat 7 y 8 Spot 5 Eros 1B Terra d Aqua a NOAA t NPP o METOP s Feng-Yun GOES 13 COSMO Skymed 1-2-3 & 4 ERS Radarsat-1 ALOS-1 UAVSAR 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 SARAT 5 Facilidades: Capacitación Gulich-Formación superior: Maestrías 2MP 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 6 Facilidades: Capacitación Gulich-Formación superior: Maestrías 2MP • Aplicaciones de la Información Espacial (UNC/CONAE/ASI) • Instrumentos Satelitales (UTNM, Universidad Tecnológica Nacional Facultad Regional Mendoza) • Desarrollo de Software para Aplicaciones Espaciales (UNLAM, Universidad Nacional de La Matanza ) • Tecnología Satelital (UTNC, Universidad Tecnológica Nacional Facultad Regional Córdoba) 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 7 Misiones Satelitales 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 8 Objetivo Principal de la Misión SAOCOM a g r i c u l t u r a hidrología/ inundaciones humedad en el suelo 8° Congreso de Agroinformática, CAI 2016interferometría 5-6 de septiembre, 2016 9 Misión SAOCOM/SIASGE 2 SAOCOM 1 (A&B) SAR Microondas-Banda L 2017/ polarimétrico 2018 4 COSMO SkyMed (1-4) SAR Microondas-Banda X ESA SAOCOM-CS (sólo receptor) hoy 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 10 Beneficios de la Configuración Final Dos bandas y L (polarimétrica) Imágenes del mismo lugar adquiridas: casi simultáneamente con la misma geometría de observación diferentes resoluciones espaciales revisita de 12 horas Diferentes posiciones próximas al SAOCOM 1B se vinculan con distintas fases durante su vida útil: SAOCOM/ Fase tomográfica SAOCOM-CS Fase biestática Fase especular 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 11 Slide 1 Title SAOCOM 1B SAOCOM 1A peso: 3 T área de la 2 8° Congreso de Agroinformática, CAI 2016 antena SAR: 35 m 5-6 de septiembre, 2016 12 Características Generales del SAOCOM órbita polar, heliosincrónica capacidad de adquisición día/noche/independiente del clima altura 620 km hora local de pasada por el Ecuador en forma 06:12 am ascendente revisita 16 días (1 satélite)/8 días (constelación) dirección de observación derecha (nominal)/izquierda(capacidad) modos de adquisición tiempo real/almacenado cobertura global apoyo con trabajo de humedad de suelo (región pampeana) campo 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 13 Características Nominales de los Modos SAOCOM rango modos de modos de polarización resolución mínimo de ancho de barrido adquisición espacial ángulo de incidencia SP: HH or HV or VH or VV > 40 km < 10 m 21 - 50 StripMap DP: HH/HV or VV/VH > 40 km < 10 m 21 - 50 QP: HH/HV/VH/VV > 20 km < 10 m 20 - 35 SP: HH or HV or VH or VV > 150 km < 30 m 25 - 45 TOPSAR DP: HH/HV or VV/VH > 150 km < 30 m 25 - 45 Narrow QP: HH/HV/VH/VV > 100 km < 50 m 20 - 35 SP: HH or HV or VH or VV > 350 km < 50 m 25 - 45 DP: HH/HV or VV/VH > 350 km < 50 m 25 - 45 TOPSAR Wide QP(1): HH/HV/VH/VV > 220 km < 100 m 20 - 35 CL-POL: RH/RV or LH/LV > 350 km < 50 m 25 - 45 8(1)° Congreso de Agroinformática, CAI 2016 5-6 deTOPSAR septiembre, 2016 Wide QP asignado para las mediciones de humedad de suelo 14 Características Nominales de los Modos COSMO modo tipo resolución [m] tamaño [km] 100 x 100 200 x 200 30 x 30 100 x 100 20 x 20 30 x 30 5 x 5 40 x 40 1 x 1 10 x 10 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 15 Presentación COMISION NACIONAL DE ACTIVIDADES ESPACIALES PRODUCTOS SIASGE (SAOCOM&COSMO) Productos Desarrollados y en Desarrollo Stand 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 Presentación 16 Red Operativa de Estaciones de Sensores para Medición de Humedad de Suelo, Temperatura y Salinidad A. Soldano 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 17 Protocolos de Medición: Equipamiento 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 18 Protocolos de Medición: Mediciones Volumétricas 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 19 Protocolos de Medición: Equipos para Mediciones en Cultivos 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 20 Red Telemétrica: Instalaciones 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 21 Red Telemétrica: Distribución de Nodos Experimental site: CETT SITIO NÚCLEO 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 22 Red Telemétrica: Registro y Consultas 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 23 Estructura de Base de Datos Relacional para Sistema de Información Geográfica A. Lorenzo 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 24 Introducción Objetivos: Desarrollar de un Sistema de Información Geográfico personalizado (custom) con acceso Web. Preservar series temporales de datos recolectados in situ (desde 2010). Incorporar los procesos de calibración y validación de datos. Servir de soporte para el gerenciamiento de la Red de Sensores en campo. Funcionalidades: Soporte de datos vectoriales y raster / Herramientas para el procesamiento de datos: Estadística y Análisis. Procesos custom de análisis. Procesos automáticos: Planillas de carga de datos recolectados en campaña, Generación de tablas de datos (SMAP-JPL), calibración y validación de datos, etc. 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 25 Portal del WebGIS https://saocom.aegis.conae.gov.ar 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 26 Interfaz de Usuario / Capas Vectoriales(1/3) Infraestructura Experimental 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 27 Interfaz de Usuario / Capas Vectoriales(2/3) Mediciones de Humedad de Suelo Red de Sensores Bell Ville Monte Buey Campañas de Campo Monte Buey 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 28 Interfaz de Usuario / Capas Vectoriales(3/3) Mediciones en Cultivos y Fotografía 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 29 Interfaz de Usuario / Capas Raster Mapa de Humedad de Suelo Perfil en Profundidad de Humedad de Suelo (Capa a 5 cm) 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 30 Interfaz de Usuario Personalizada / Herramientas Estadística sobre datos Raster y Tablas 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 31 Mapa de Humedad de suelo D. Dadamia 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 32 Definición del Producto Parámetros Características Imagen SAOCOM TOPSAR Wide QP single look Parámetro Físico Humedad de suelo superficial (5 a 10 cm) Unidades 푚3/푚3 Rango de valores de 3 to 40% Resolución Espacial 100 m Resolución Radiométrica 1000 looks Error ≤ 7 % Numero de Bandas 9/17 Formato de la imagen GEOTIFF con un xml asociado donde se incluyen datos auxiliares. Resolución Temporal Composición de 8 días (Banda 1) Bandas 2-7: cada uno de los días que se uso en la composición. Proyección WGS84 8°EdadCongresodelde Agroinformática dato , CAI 2016 8/16 a días. 5-6 de septiembre, 2016 33 Producto Humedad de Suelo (Ejemplo) 40 30 20 10 5 No data Vol/Vol UAVSAR-JPL Alos Palsar - 1 Marzo 2015 Noviembre 2010 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 34 Mapas de Humedad de Suelo Parámetros Características Parámetro Humedad de suelo Físico superficial (5 a 10 cm) Unidades 푚3/푚3 SMOS SACD-Aquairius Rango de de 2 to 50% valores Tamaño pixel 25 km Resolución SACD: 100 km Producto cada 3 días Producto semanal Ascendentes Descendentes Ascendentes Descendentes Espacial SMOS: 35 km Sensor Formato de la GEOTIFF y kmz 6 am 6 pm 6 pm 6 am imagen 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 35 Soporte al Uso de Agroquímicos para el Control de la Fusariosis en el Trigo H. Lozza (M. Acuña) 8° Congreso de Agroinformática, CAI 2016 5-6 de septiembre, 2016 36 Fusariosis del trigo Objetivo: Desarrollar, implementar y operar un sistema de pronóstico de enfermedades espacialmente explícito que mejore la capacidad de los productores para controlar la fusariosis en cultivos de trigo de la región central. Usuarios: Productores, asesores, extensionistas. Características de los productos: a. Mapas de incidencia de la enfermedad por día con un horizonte de pronóstico de 5 días. b. Índice del estado de incidencia de la enfermedad (considerando opciones de variedad, fecha de siembra, fertilización, riego, etc.) y un pronostico de su evolución.
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