Overview of the EnMAP Imaging Spectroscopy Mission

Similar documents
ENMAP RADIOMETRIC INFLIGHT CALIBRATION

End-to-End Simulation of Sentinel-2 Data with Emphasis on Atmospheric Correction Methods

7th ESA ADVANCED TRAINING COURSE ON LAND REMOTE SENSING

Originally published as:

Quality assessment of RS data. Remote Sensing (GRS-20306)

IMAGING SPECTROMETER DATA CORRECTION

Processing Chain, Calibration and Data Quality Procedures of the Future Hyperspectral Satellite Mission EnMAP

Sentinel-2 Calibration and Validation : from the Instrument to Level 2 Products

TOA RADIANCE SIMULATOR FOR THE NEW HYPERSPECTRAL MISSIONS: STORE (SIMULATOR OF TOA RADIANCE)

Potential of Sentinel-2 for retrieval of biophysical and biochemical vegetation parameters

Current Status of Hyperspectral Imager Suite (HISUI)

HICO User Annual Report. Using HICO data for the preparation of the future EnMAP satellite mission

GENESIS Generator of Spectral Image Simulations

AISASYSTEMS PRODUCE MORE WITH LESS

Shallow-water Remote Sensing: Lecture 1: Overview

5 th EnMAP School. EnMAP-Box. Andreas Rabe Matthias Held Sebastian van der Linden Benjamin Jakimow.

GODDARD SPACE FLIGHT CENTER. Future of cal/val. K. Thome NASA/GSFC

GeoTASO Project Summary and Relevance. Jim Leitch Ball Aerospace

CHRIS PROBA instrument

Sentinel-2/Landsat-8 Characterization and Cross - Cal

CLASSIFICATION OF ROOF MATERIALS USING HYPERSPECTRAL DATA

CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) on MRO. Calibration Upgrade, version 2 to 3

Update on Pre-Cursor Calibration Analysis of Sentinel 2. Dennis Helder Nischal Mishra Larry Leigh Dave Aaron

CHRIS Proba Workshop 2005 II

THE OPERATIONAL fully automatic processing of hyperspectral

Lukas Paluchowski HySpex by Norsk Elektro Optikk AS

THE ENMAP CONTEST: DEVELOPING AND COMPARING CLASSIFICATION APPROACHES FOR THE ENVIRONMENTAL MAPPING AND ANALYSIS PROGRAMME DATASET AND FIRST RESULTS

CRISM Instrument, Mission, and Data Set Description

Sensitivity of TOA spectral radiance to variability in terrestrial biosphere properties

Freeform optics at ESA: an overview

ENHANCEMENT OF DIFFUSERS BRDF ACCURACY

Crop Types Classification By Hyperion Data And Unmixing Algorithm

Recent Progress of BaoTou Comprehensive Cal&Val Site. Prof. Chuan-rong Li. Academy of Opto-Electronics(AOE), Chinese Academy of Sciences

Unsupervised and Self-taught Learning for Remote Sensing Image Analysis

IMAGING AND FIELD SPECTROMETER DATA S ROLE IN CALIBRATING CLIMATE-QUALITE SENSORS Kurtis, J. Thome NASA/GSFC Greenbelt, MD

Improvements to Ozone Mapping Profiler Suite (OMPS) Sensor Data Record (SDR)

Application of the SCAPE-M atmospheric correction algorithm to the processing of MERIS data over continental water bodies

UAV-based Remote Sensing Payload Comprehensive Validation System

Sentinel-3 OLCI: Status

Attività cal/val missione FLEX e possibili sinergie con PRISMA

S2 MPC Data Quality Report Ref. S2-PDGS-MPC-DQR

Airborne Hyperspectral Imaging Using the CASI1500

GEOBIA for ArcGIS (presentation) Jacek Urbanski

Hydrocarbon Index an algorithm for hyperspectral detection of hydrocarbons

A GEOMETRIC SIMULATOR FOR THE HYPERSPECTRAL MISSION ENMAP

Transformation of the Hyperspectral Line Scanner into a Strip Imaging System

Radiance, Irradiance and Reflectance

Sensors and applications for drone based remote sensing

Analysis Ready Data For Land

Onshore remote sensing applications: an overview

Application of Hyperspectral Remote Sensing for LAI Estimation in Precision Farming

Monitoring the Environment for Climate Change: The case of GMES

Correction and Calibration 2. Preprocessing

OCEANSAT-2 OCEAN COLOUR MONITOR (OCM-2)

Appendix III: Ten (10) Specialty Areas - Remote Sensing/Imagry Science Curriculum Mapping to Knowledge Units-RS/Imagry Science Specialty Area

Atmospheric correction of hyperspectral ocean color sensors: application to HICO

A Method Suitable for Vicarious Calibration of a UAV Hyperspectral Remote Sensor

Assessments of MODIS On-orbit Spatial and Spectral Characterization

An Inter-Comparison and Rigorous Analysis of UAV and Manned Airborne Hyperspectral Imagers

Kohei Arai 1 Graduate School of Science and Engineering Saga University Saga City, Japan

ISPRS Hannover Workshop 2013, May 2013, Hannover, Germany

Uncertainties in the Products of Ocean-Colour Remote Sensing

ON THE SPECTRAL RESOLUTION REQUIREMENTS FOR THE DERIVATION OF LEAF AREA INDEX FROM HYPERSPECTRAL REMOTE SENSING DATA

PICSCAR Status Radiometric Calibration Workshop for European Missions

Real-world noise in hyperspectral imaging systems

Testing Hyperspectral Remote Sensing Monitoring Techniques for Geological CO 2 Storage at Natural Seeps

ASTER User s Guide. ERSDAC Earth Remote Sensing Data Analysis Center. 3D Ortho Product (L3A01) Part III. (Ver.1.1) July, 2004

CAL/VAL JAXA Agency Report

ABSTRACT 1. INTRODUCTION

SEVENTH FRAMEWORK PROGRAMME Capacities Specific Programme Research Infrastructures

Hyperspectral Remote Sensing

ATMOSPHERIC CORRECTION ITERATIVE METHOD FOR HIGH RESOLUTION AEROSPACE IMAGING SPECTROMETERS

IOCCG Calibration Workshop 30 October 2004, Fremantle, Australia. In-Flight Calibration of Satellite Ocean-Color Sensors

Operational use of the Orfeo Tool Box for the Venµs Mission

10/2/2012 Corporate Headquarters 9390 Gateway Dr, Ste 100 Reno, NV p: f:

2017 Summer Course on Optical Oceanography and Ocean Color Remote Sensing. Introduction to Remote Sensing

TES Algorithm Status. Helen Worden

Working with M 3 Data. Jeff Nettles M 3 Data Tutorial at AGU December 13, 2010

TET- the first satellite of the FIREBIRD constellation Eckehard Lorenz DLR OS-CV

EVALUATION OF WORLDVIEW-1 STEREO SCENES AND RELATED 3D PRODUCTS

Meteosat Third Generation (MTG) Lightning Imager (LI) instrument performance and calibration from user perspective

doi: / See next page.

Linking sun-induced fluorescence and photosynthesis in a forest ecosystem

ENVI. Get the Information You Need from Imagery.

Retrieval of crop characteristics from high resolution airborne scanner data

Zurich Open Repository and Archive. Supporting facilities of the airborne imaging spectrometer APEX

Lab 13 SeaDAS Ocean color Processing

CALIBRATION OF NEON S AIRBORNE IMAGING SPECTROMETERS

SAC-D/Aquarius. HSC - Radiometric Calibration H Raimondo M Marenchino. An Observatory for Ocean, Climate and Environment

Modeling reflectance and transmittance of leaves in the µm domain: PROSPECT-VISIR

Field Spectroscopy, and its role in Earth Observation

Analysis Ready Data For Land (CARD4L-ST)

Diffraction gratings. e.g., CDs and DVDs

Continued Development of the Look-up-table (LUT) Methodology For Interpretation of Remotely Sensed Ocean Color Data

THE USE OF AIRBORNE HYPERSPECTRAL REFLECTANCE DATA TO CHARACTERIZE FOREST SPECIES DISTRIBUTION PATTERNS

Vicarious Radiometric Calibration of MOMS at La Crau Test Site and Intercalibration with SPOT

Optimizing LUT-based RTM inversion for retrieval of biophysical parameters

UHD 185 FAQs. Optical System

TELEDYNE GEOSPATIAL SOLUTIONS

MRO CRISM TRR3 Hyperspectral Data Filtering

Transcription:

Overview of the EnMAP Imaging Spectroscopy Mission L. Guanter, H. Kaufmann, K. Segl, S. Foerster, T. Storch, A. Mueller, U. Heiden, M. Bachmann, G. Rossner, C. Chlebek, S. Fischer, B. Sang, the EnMAP Science Advisory Group, and many others

The EnMAP Program EnMAP: Environmental Mapping and Analysis Program Conceived as an operational imaging spectroscopy mission for EO Good data quality & higher level products from ground segment Open data policy Core funding from the German Federal Ministry of Economics and Technology Currently under construction phase, launch ~mid 2018

EnMAP Main Mission Parameters Push-broom imaging spectrometer Sun-synchronous orbit, 11h LTDN Spectral range VNIR: 420 nm to 1000 nm SWIR: 900 nm to 2450 nm Spectral sampling distance VNIR ~6.5 nm SWIR ~10 nm Data acquisition 1000 km/orbit 5000 km/day Swath width 30 km Ground sampling distance 30 m Revisit time 27 d nadir 4 d with 30º across-track pointing Mission lifetime 5 years

Dual-spectrometer instrument concept Independent VNIR & SWIR FPAs: field splitter & double entrance slit Curved Offner prism design to maximize uniformity (smile & keystone <5%)

Onboard calibration units Radiometric sphere + LEDs: detector linearity and pixel mapping Spectral sphere + doped spectralon: spectral calibration Sun diffuser: absolute radiometric calibration Shutter mechanism: dark signal calibration (See talk tomorrow by André Hollstein)

Radiometric performance Prism-based design SNR scales with ~sqrt(radiance) Sufficient SNR performance for most applications Water and urban, most critical applications

Data Products & Acquisition Priorities User products Acquisitions: Restricted to 1000 km/orbit, and 5000 km/day Daily acquisition plan (mostly) based on user requests and categories

EnMAP Science Plan Content: General mission framework EnMAP perspectives and impact Scientific exploitation strategy Current focus of EnMAP Science Advisory Group: Agriculture Forest Ecosystems Soils & Geology Coastal and inland water Urban

EnMAP end-to-end scene simulations Objectives: 1) Optimization of instrument design - Refinement of instrument specifications - Impact of instrumental effects on Digital Numbers 2) Generating a data base for algorithm development, validation and calibration - Reflectance and radiance for scientific applications - Digital Numbers for Ground Segment Onboard Calibration Non-linearity Dark Signal Absolute Calibration Segl et al., IEEE JSTARS, 2012 Forward Simulation Sensor Data (DN) EnMAP Scene Simulator Radiometric Module Spectral Module Spatial Module Atmospheric Module L1 Processor (DN->Radiance) L2 Processors (Radiance-> Reflectance) Co-registration Atmospheric Correction Orthorectification Backward Simulation Input Data (Reflectance) Output Data (Reflectance)

EnMAP end-to-end scene simulations Simulation of (i) EnMAP-like TOA radiance images and (ii) L2 surface reflectance after pre-processing Many (>100) simulated EnMAP data sets already available Contact Karl Segl at GFZ if you need simulations for your study site!

EnMAP-Box Rabe, van der Linden et al. (HU Berlin) Software for the preprocessing and scientific exploitation of EnMAP data Free, open source and platform independent Reference algorithms for different application fields being developed by EnSAG partners Download from www.enmap.org/?q=enmapbox

EnSoMAP: Digital Soil Mapping Expert system for soil mapping Automatic generation of semi-quantitative soil maps (soil moisture content, organic carbon, iron oxides, clays, carbonates content) + quality layer map Chabrillat et al. HyMap Soil mask Quality layer Iron oxides Clay minerals Carbonates User custom option for fully quantitative soil mapping Currently distributed for airborne users: Soil parameter mapping (%) Soil moisture SOC www.gfz-potsdam.de/hysoma Low High Example L3 soil products

EnMAP-flight campaigns http://www.enmap.org/?q=flightbeta Airborne hyperspectral images and associated in-situ data provided free of charge to science community under CC BY-SA Licence Search metadata portal at www.enmap.org data Datasets published as data publications (with DOI) Technical Report will be provided with each dataset (documentation of data acquisition, processing, quality etc.)

Support to young researchers PhD Programme: 15 PhD projects currently ongoing on different research areas and groups in Germany YoungEnMAP: International Summer Schools organised every year EnMAP summer school participants (Lauenburg, March 2015)

Thank you for your attention! www.enmap.org