Collaborative research project pre agro

Size: px
Start display at page:

Download "Collaborative research project pre agro"

Transcription

1 Collaborative research project pre agro Extraction of phenology-dependent structural information from hyperspectral, directional CHRIS data for a better derivation of canopy parameters of winter-wheat Vista Geowissenschaftliche Fernerkundung GmbH Silke Begiebing, Heike Bach, Wolfram Mauser

2 Content The preagro project Overview on hyperspectral remote sensing data and test-sites Concept of the model based analyses Derivation of canopy parameters Resulting maps for green LAI and fraction of senescent material Validation Summary and first results of data assimilation into the crop growth model 2

3 The preagro project preagro is a German project for joint research and development of basics for precision agriculture: Information driven crop production with precision farming as the central scientific and technical precondition for a sustainable development of agricultural land use. 3

4 The preagro project Preagro is Germany s largest activity in the field of precision agriculture coordinated by Dr. A. Werner, ZALF Funded by the German Federal Ministry of Education and Research VISTA is in charge for remote sensing applications of hyperspectral data using Multitemporal directional CHRIS observations Multitemporal airborne hyperspectral measurements using the AVIS sensor 4

5 Overview on the hyperspectral remote sensing data CHRIS Sun AVIS North Used for derivation of... plant structure green Leaf Area Index fraction of mature material Ground Track Available ground truth: soil maps biomass measurements Used for derivation of... green Leaf Area Index fraction of mature material upscaling analyses LAI measurements with LICOR 2000 yield maps

6 Suitable CHRIS data 2005 / 2006 Year Date Test-site Phenological state 2005 Apr 04 Wulfen / Baasdorf Tillering wheat Jun 19 Wulfen / Baasdorf Milk stage wheat Jul 24 Groß-Twülpstedt Used for soil parameterisation Aug 19 Groß-Twülpstedt Used for soil parameterisation 2006 Apr 14 Wulfen / Baasdorf Tillering wheat Jun 12 Wulfen / Baasdorf Flowering wheat Sep 07 Wulfen / Baasdorf Milk stage maize Jun 13 Groß-Twülpstedt Flowering wheat Jul 10 Groß-Twülpstedt Milk stage wheat 6

7 Test-site Wulfen / Baasdorf CHRIS data: 36m ground resolution (Mode 1) Air-borne data: 2m ground resolution 7 Red edge - color composit

8 Test-site Groß-Twülpstedt CHRIS data: 18m ground resolution (Mode 5) AVIS data: 4m ground resolution 8

9 Example of a coupled ecosystem and radiative transfer model Daily simulation of LAI and biomass accumulation Daily simulation of reflectance 9

10 Derivation of plant parameters for a single spectrum 10 Comparison of simulated and measured reflectance Parameter adjustment

11 Spatial demonstration of parameter retrieval Measured spectral patterns Step-wise model approximation 11

12 Four-Stream Radiative Transfer Model SLC (Verhoef & Bach 2003) Input parameters: Fluxes considered : 1. Direct solar flux 2. Diffuse downward flux 3. Diffuse upward flux 4. Direct observed flux (radiance) Solar zenith angle Observation zenith angle Relative azimuth angle Fraction diffuse sky irradiance Soil BRDF parameters (b, c, B0, h) Dry soil reflectance spectrum Soil moisture Leaf chlorophyll Leaf water Leaf dry matter Leaf mesophyll structure LAI leaf area index Leaf angle distribution Hot spot parameter Fraction of mature material Dissociation factor: green / brown Crown coverage 12

13 BRDF sensitivity to average leaf angle Spectral changes at 5 observation zenith angles with structural change 13 SLC input: green LAI = 4 reflectance [%] wavelength [µm] 80 Average leaf angle

14 BRDF sensitivity analyses change of leaf angle (modelled) SLC input: total LAI = 4 CHRIS, Jun 21th 05 maturing (measured) 14 BRDF factor related to nadir observer zenith [ ] % 70 fb % 80 fb BRDF at 780nm simulated for different leaf angles BRDF factor related to nadir observer zenith [ ] green maturing senescent BRDF at 780nm measured at different monitoring points

15 Structural change with phenology Structure changes as dominance of stems and heads increases with maturing Jun 20th 05 Jul 7th 05 CONSTANT Average angle leaves: 52 Average angle heads & stems: 82 VARIABLE Average leaf angle over canopy:? 15

16 Derivation of structure from directional CHRIS data CHRIS data Jun 19th 2005 during maturing process Inversion of SLC using all 5 observation zeniths for different leaf angles Result: Linear coupling between fraction of mature material and leaf angles: 0% senescent average leaf angle % senescent average leaf angle 78 16

17 Winter wheat, comparison between AVIS and CHRIS acquisitions (Jun 19th/21th 2005) Shown area: approx. 130ha Visible color composit 17

18 Derived fraction of mature material and green LAI from CHRIS data (Jun 19th) 18

19 Derivated fraction of mature material and green LAI from AVIS data (Jun 21th) 19

20 Validation of the derived parameters (airborne data) Fraction of mature material Green / Total LAI modelled fraction of mature material [%] fraction of mature material from photo analyses [%] modelled green LAI [m²/m²] RMSE = 15.5% y = x R 2 = Licor LAI measurements [m²/m²]

21 Summary Green Leaf Area Index as well as fraction of mature material could successfully be retrieved from airborne and spaceborne hyperspectral remote sensing data Incorporation of phenological development is important for correct structural parametrisation; this was accomplished by using the directional CHRIS data Work in progress: data assimilation into the crop growth model PROMET-V for yield modelling 21

22 First assimilation into crop growth model 30 : : 90 Average measured yield : 65 dt/ha Average modelled yield : 45 dt/ha 22

23 Acknowledgements Thanks to support by BMBF within the project PreAgro (FK )...and to you for your attention! Contact: Silke Begiebing, Dr. Heike Bach Vista Geowissenschaftliche Fernerkundung GmbH Gabelsbergerstr.51, München, Germany ++49 (0)89 / Begiebing@vista-geo.de, Bach@vista-geo.de 23

24 Ableitung der Blattwinkel aus Fotos mittl. Wkl. mittl. Wkl. Blätter Stiele/Ähren Winkel Juni: Mittelwert insg.: Mittelwert Grün: Mittelwert Braun: Monitoringpunkt 3 Schlag 141, Foto von TP14 Winkel Juli: Mittelwert insg.: Mittelwert Grün: Mittelwert Braun:

25 TP 13: Gekoppelte Modellierung Hyperspektraldaten Meteodaten, Landnutzung, GIS-Info Geobiophysikal. Karten Beobachtetes Reflexionsspektrum Modelliertes Reflexionsspektrum Kalibrierung & Atmosphärenkorrektur Inversion von SLC Anpassung von LAI, Chlorophyll, Bestandesreflexionsmodell SLC Plausible Wertebereiche Optimierung interner Modellparameter Bestandswachstumsmodell PROMET-V Simulierter LAI, Chlorophyll, Aus Fernerkundung abgeleiteter LAI, Chlorophyll,... Biomasse, Kornertrag, N-Aufnahme Pflanzenwasser... 25

26 Fotoanalyse I Anteil seneszenten Materials aus Photoanalyse Spectral index green senescent 16,5% fraction mature Monitoringpunkt 3 Schlag 141, Foto von TP14 26

27 BRDF sensitivity analyses BRDF change with maturing SLC input: total LAI = 4 CHRIS, Jun 21th BRDF factor related to nadir observer zenith [ ] % 70 fb % 80 fb BRDF at 780nm simulated for different leaf angles BRDF factor related to nadir observer zenith [ ] green maturing senescent BRDF at 780nm measured at different monitoring points

28 Overview on the hyperspectral remote sensing data CHRIS Sun AVIS North Used for derivation of... plant structure green Leaf Area Index Fraction of mature material Ground Track Sensitive for: green leaf area index fraction of mature material chlorophyll content Used for derivation of... green Leaf Area Index Fraction of mature material upscaling analyses plant water content plant structure

29 29 Correlation to yield measurements modellierter grüner LAI [m²/m²] y = x R 2 = Modelled green LAI [m²/m²] Yield [dt/ha] Ertrag Yield [dt/ha] good basis for yield modelling

ANALYSIS OF HYPERSPECTRAL FIELD DATA FOR DETECTION OF SUGAR BEET DISEASES

ANALYSIS OF HYPERSPECTRAL FIELD DATA FOR DETECTION OF SUGAR BEET DISEASES ANALYSIS OF HYPERSPECTRAL FIELD DATA FOR DETECTION OF SUGAR BEET DISEASES Rainer LAUDIEN*, Georg BARETH**, Reiner DOLUSCHITZ*** Department of Agricultural Economics Division: Agricultural Informatics and

More information

Resolutions of Remote Sensing

Resolutions of Remote Sensing Resolutions of Remote Sensing 1. Spatial (what area and how detailed) 2. Spectral (what colors bands) 3. Temporal (time of day/season/year) 4. Radiometric (color depth) Spatial Resolution describes how

More information

Introduction: Growth analysis and crop dry matter accumulation

Introduction: Growth analysis and crop dry matter accumulation PBIO*3110 Crop Physiology Lecture #2 Fall Semester 2008 Lecture Notes for Tuesday 9 September How is plant productivity measured? Introduction: Growth analysis and crop dry matter accumulation Learning

More information

Crop Drought Stress Monitoring by Remote Sensing (DROSMON) Overview. Werner Schneider

Crop Drought Stress Monitoring by Remote Sensing (DROSMON) Overview. Werner Schneider Crop Drought Stress Monitoring by Remote Sensing (DROSMON) Overview Werner Schneider Institut of Surveying, Remote Sensing and Land Information Department of Landscape, Spatial and Infrastructure Sciences

More information

CROP CLASSIFICATION WITH HYPERSPECTRAL DATA OF THE HYMAP SENSOR USING DIFFERENT FEATURE EXTRACTION TECHNIQUES

CROP CLASSIFICATION WITH HYPERSPECTRAL DATA OF THE HYMAP SENSOR USING DIFFERENT FEATURE EXTRACTION TECHNIQUES Proceedings of the 2 nd Workshop of the EARSeL SIG on Land Use and Land Cover CROP CLASSIFICATION WITH HYPERSPECTRAL DATA OF THE HYMAP SENSOR USING DIFFERENT FEATURE EXTRACTION TECHNIQUES Sebastian Mader

More information

Lectures Remote Sensing

Lectures Remote Sensing Lectures Remote Sensing ATMOSPHERIC CORRECTION dr.ir. Jan Clevers Centre of Geo-Information Environmental Sciences Wageningen UR Atmospheric Correction of Optical RS Data Background When needed? Model

More information

LiDAR for vegetation applications

LiDAR for vegetation applications LiDAR for vegetation applications UoL MSc Remote Sensing Dr Lewis plewis@geog.ucl.ac.uk Introduction Introduction to LiDAR RS for vegetation Review instruments and observational concepts Discuss applications

More information

How to calculate reflectance and temperature using ASTER data

How to calculate reflectance and temperature using ASTER data How to calculate reflectance and temperature using ASTER data Prepared by Abduwasit Ghulam Center for Environmental Sciences at Saint Louis University September, 2009 This instructions walk you through

More information

Integrating the Solar Spectrum

Integrating the Solar Spectrum Integrating the Solar Spectrum PHYS 4400, Principles and Varieties of Solar Energy Instructor: Randy J. Ellingson The University of Toledo January 24, 203 Pop Quiz Note: quiz does not count toward grade

More information

Received 4 December 2002; received in revised form 19 December 2003; accepted 29 December 2003

Received 4 December 2002; received in revised form 19 December 2003; accepted 29 December 2003 Remote Sensing of Environment 90 (2004) 337 352 www.elsevier.com/locate/rse Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the

More information

Remote Sensing Applications for Precision Agriculture

Remote Sensing Applications for Precision Agriculture Remote Sensing Applications for Precision Agriculture Farm Progress Show Chris J. Johannsen, Paul G. Carter and Larry L. Biehl Department of Agronomy and Laboratory for Applications of Remote Sensing (LARS)

More information

Passive Remote Sensing of Clouds from Airborne Platforms

Passive Remote Sensing of Clouds from Airborne Platforms Passive Remote Sensing of Clouds from Airborne Platforms Why airborne measurements? My instrument: the Solar Spectral Flux Radiometer (SSFR) Some spectrometry/radiometry basics How can we infer cloud properties

More information

SYNTHETIC IMAGERY FOR VISUALIZATION OF CROP CANOPY STATUS

SYNTHETIC IMAGERY FOR VISUALIZATION OF CROP CANOPY STATUS SYNTHETIC IMAGERY FOR VISUALIZATION OF CROP CANOPY STATUS Vladimir J. Alarcon Engineer, Research Scientist Department of Plant and Soil Science, Mississippi State University, Mississippi State, MS, USA

More information

MODIS IMAGES RESTORATION FOR VNIR BANDS ON FIRE SMOKE AFFECTED AREA

MODIS IMAGES RESTORATION FOR VNIR BANDS ON FIRE SMOKE AFFECTED AREA MODIS IMAGES RESTORATION FOR VNIR BANDS ON FIRE SMOKE AFFECTED AREA Li-Yu Chang and Chi-Farn Chen Center for Space and Remote Sensing Research, National Central University, No. 300, Zhongda Rd., Zhongli

More information

Data Processing Flow Chart

Data Processing Flow Chart Legend Start V1 V2 V3 Completed Version 2 Completion date Data Processing Flow Chart Data: Download a) AVHRR: 1981-1999 b) MODIS:2000-2010 c) SPOT : 1998-2002 No Progressing Started Did not start 03/12/12

More information

Land Use/Land Cover Map of the Central Facility of ARM in the Southern Great Plains Site Using DOE s Multi-Spectral Thermal Imager Satellite Images

Land Use/Land Cover Map of the Central Facility of ARM in the Southern Great Plains Site Using DOE s Multi-Spectral Thermal Imager Satellite Images Land Use/Land Cover Map of the Central Facility of ARM in the Southern Great Plains Site Using DOE s Multi-Spectral Thermal Imager Satellite Images S. E. Báez Cazull Pre-Service Teacher Program University

More information

Light Interception and Plant Growth. Photo courtesy of B.A. Stewart

Light Interception and Plant Growth. Photo courtesy of B.A. Stewart Light Interception and Plant Growth Photo courtesy of B.A. Stewart Physiological Determinants of Crop Growth D.A. Charles-Edwards (Academic Press, 1982) The acquisition of knowledge of the potential yield

More information

1 The interaction of visible and near infrared EMR with soil

1 The interaction of visible and near infrared EMR with soil PROPERTIES OF EARTH SURFACES AND THEIR INTERACTIONS WITH ELECTROMAGNETIC RADIATION AT VISIBLE AND NEAR INFRARED WAVELENGTHS For a fixed distribution of incident radiation, the particular properties of

More information

P.M. Rich, W.A. Hetrick, S.C. Saving Biological Sciences University of Kansas Lawrence, KS 66045

P.M. Rich, W.A. Hetrick, S.C. Saving Biological Sciences University of Kansas Lawrence, KS 66045 USING VIEWSHED MODELS TO CALCULATE INTERCEPTED SOLAR RADIATION: APPLICATIONS IN ECOLOGY by P.M. Rich, W.A. Hetrick, S.C. Saving Biological Sciences University of Kansas Lawrence, KS 66045 R.O. Dubayah

More information

INRA's Big Data perspectives and implementation challenges. Pascal Neveu UMR MISTEA INRA - Montpellier

INRA's Big Data perspectives and implementation challenges. Pascal Neveu UMR MISTEA INRA - Montpellier INRA's Big Data perspectives and implementation challenges UMR MISTEA INRA - Montpellier Agronomic Sciences Raises integrated issues and challenges: How to adapt agriculture to climate change? How agriculture

More information

APPLICATION OF TERRA/ASTER DATA ON AGRICULTURE LAND MAPPING. Genya SAITO*, Naoki ISHITSUKA*, Yoneharu MATANO**, and Masatane KATO***

APPLICATION OF TERRA/ASTER DATA ON AGRICULTURE LAND MAPPING. Genya SAITO*, Naoki ISHITSUKA*, Yoneharu MATANO**, and Masatane KATO*** APPLICATION OF TERRA/ASTER DATA ON AGRICULTURE LAND MAPPING Genya SAITO*, Naoki ISHITSUKA*, Yoneharu MATANO**, and Masatane KATO*** *National Institute for Agro-Environmental Sciences 3-1-3 Kannondai Tsukuba

More information

Remote Sensing A Future Technology in Precision Farming. Summary... 1 Introduction... 2 Remote Sensing and Precision Farming... 3 References...

Remote Sensing A Future Technology in Precision Farming. Summary... 1 Introduction... 2 Remote Sensing and Precision Farming... 3 References... Remote Sensing A Future Technology in Precision Farming W. Kühbauch 1 and S. Hawlitschka 1 Summary... 1 Introduction... 2 Remote Sensing and Precision Farming... 3 References... 10 Summary The paper briefly

More information

Monitoring Soil Moisture from Space. Dr. Heather McNairn Science and Technology Branch Agriculture and Agri-Food Canada heather.mcnairn@agr.gc.

Monitoring Soil Moisture from Space. Dr. Heather McNairn Science and Technology Branch Agriculture and Agri-Food Canada heather.mcnairn@agr.gc. Monitoring Soil Moisture from Space Dr. Heather McNairn Science and Technology Branch Agriculture and Agri-Food Canada heather.mcnairn@agr.gc.ca What is Remote Sensing? Scientists turn the raw data collected

More information

SAMPLE MIDTERM QUESTIONS

SAMPLE MIDTERM QUESTIONS Geography 309 Sample MidTerm Questions Page 1 SAMPLE MIDTERM QUESTIONS Textbook Questions Chapter 1 Questions 4, 5, 6, Chapter 2 Questions 4, 7, 10 Chapter 4 Questions 8, 9 Chapter 10 Questions 1, 4, 7

More information

Lake Monitoring in Wisconsin using Satellite Remote Sensing

Lake Monitoring in Wisconsin using Satellite Remote Sensing Lake Monitoring in Wisconsin using Satellite Remote Sensing D. Gurlin and S. Greb Wisconsin Department of Natural Resources 2015 Wisconsin Lakes Partnership Convention April 23 25, 2105 Holiday Inn Convention

More information

Requirements and technology for smart materials in greenhouses

Requirements and technology for smart materials in greenhouses Requirements and technology for smart materials in greenhouses Greenhouses in The Netherlands Workshop 13 April 2016, Bleiswijk Dr. Silke Hemming, Wageningen UR Greenhouse Horticulture About 10 000 Ha

More information

The potential of cloud slicing to derive profile information from Nadir looking instruments

The potential of cloud slicing to derive profile information from Nadir looking instruments The potential of cloud slicing to derive profile information from Nadir looking instruments Thomas Wagner, Steffen Beirle, Cheng Liu MPI for Chemistry, Mainz, Germany Pioneering studies (trop. O 3 from

More information

Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon

Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon Supporting Online Material for Koren et al. Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon 1. MODIS new cloud detection algorithm The operational

More information

Remote Sensing. Vandaag. Voordelen Remote Sensing Wat is Remote Sensing? Vier elementen Remote Sensing systeem

Remote Sensing. Vandaag. Voordelen Remote Sensing Wat is Remote Sensing? Vier elementen Remote Sensing systeem Remote Sensing 1 Vandaag Voordelen Remote Sensing Wat is Remote Sensing? Vier elementen Remote Sensing systeem 2 Nederland Vanaf 700 km hoogte Landsat TM mozaïek 3 Europa vanaf 36000 km hoogte 4 5 Mount

More information

Electromagnetic Radiation (EMR) and Remote Sensing

Electromagnetic Radiation (EMR) and Remote Sensing Electromagnetic Radiation (EMR) and Remote Sensing 1 Atmosphere Anything missing in between? Electromagnetic Radiation (EMR) is radiated by atomic particles at the source (the Sun), propagates through

More information

Introduction of Agro-meteorological Information Services In China. Prof. Wang Jianlin Dr. He Yanbo

Introduction of Agro-meteorological Information Services In China. Prof. Wang Jianlin Dr. He Yanbo Introduction of Agro-meteorological Information Services In China Prof. Wang Jianlin Dr. He Yanbo National Meteorological center, China Meteorological Administration Contents Organization & Staff Members

More information

SOLAR RADIATION AVAILABILITY FOR PLANT GROWTH IN ARIZONA CONTROLLED ENVIRONMENT AGRICULTURE SYSTEMS

SOLAR RADIATION AVAILABILITY FOR PLANT GROWTH IN ARIZONA CONTROLLED ENVIRONMENT AGRICULTURE SYSTEMS SOLAR RADIATION AVAILABILITY FOR PLANT GROWTH IN ARIZONA CONTROLLED ENVIRONMENT AGRICULTURE SYSTEMS Stephen Kania, Horticultural Engineer Gene Giacomelli, Professor & Director CEAC Controlled Environment

More information

High Resolution Mapping of LAI and other parameters with SPOT-4 Data for Spatially-explicit Ecohydrological Modeling in the Landes de Gascogne

High Resolution Mapping of LAI and other parameters with SPOT-4 Data for Spatially-explicit Ecohydrological Modeling in the Landes de Gascogne High Resolution Mapping of LAI and other parameters with SPOT-4 Data for Spatially-explicit Ecohydrological Modeling in the Landes de Gascogne Ajit Govind Ecologie Fonctionnelle et Physique de la Environnement

More information

ENVIRONMENTAL MONITORING Vol. I - Remote Sensing (Satellite) System Technologies - Michael A. Okoye and Greg T. Koeln

ENVIRONMENTAL MONITORING Vol. I - Remote Sensing (Satellite) System Technologies - Michael A. Okoye and Greg T. Koeln REMOTE SENSING (SATELLITE) SYSTEM TECHNOLOGIES Michael A. Okoye and Greg T. Earth Satellite Corporation, Rockville Maryland, USA Keywords: active microwave, advantages of satellite remote sensing, atmospheric

More information

2.3 Spatial Resolution, Pixel Size, and Scale

2.3 Spatial Resolution, Pixel Size, and Scale Section 2.3 Spatial Resolution, Pixel Size, and Scale Page 39 2.3 Spatial Resolution, Pixel Size, and Scale For some remote sensing instruments, the distance between the target being imaged and the platform,

More information

General. Requirements of Plastic Films for greenhouse application Latest Development in Research 1/22/2009. Requirements. General

General. Requirements of Plastic Films for greenhouse application Latest Development in Research 1/22/2009. Requirements. General Requirements of Plastic Films for greenhouse application Latest Development in Research 6 th European Additives & Colors Conference, 11/12 March 29, Antwerpen Silke Hemming, Wageningen UR Greenhouse Horticulture

More information

Asia-Pacific Environmental Innovation Strategy (APEIS)

Asia-Pacific Environmental Innovation Strategy (APEIS) Asia-Pacific Environmental Innovation Strategy (APEIS) Integrated Environmental Monitoring IEM) Dust Storm Over-cultivation Desertification Urbanization Floods Deforestation Masataka WATANABE, National

More information

Overview. 1. Types of land dynamics 2. Methods for analyzing multi-temporal remote sensing data:

Overview. 1. Types of land dynamics 2. Methods for analyzing multi-temporal remote sensing data: Vorlesung Allgemeine Fernerkundung, Prof. Dr. C. Schmullius Change detection and time series analysis Lecture by Martin Herold Wageningen University Geoinformatik & Fernerkundung, Friedrich-Schiller-Universität

More information

Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California

Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California Graham Emde GEOG 3230 Advanced Remote Sensing February 22, 2013 Lab #1 Using Remote Sensing Imagery to Evaluate Post-Wildfire Damage in Southern California Introduction Wildfires are a common disturbance

More information

Moderate- and high-resolution Earth Observation data based forest and agriculture monitoring in Russia using VEGA Web-Service

Moderate- and high-resolution Earth Observation data based forest and agriculture monitoring in Russia using VEGA Web-Service Moderate- and high-resolution Earth Observation data based forest and agriculture monitoring in Russia using VEGA Web-Service Sergey BARTALEV and Evgeny LOUPIAN Space Research Institute, Russian Academy

More information

Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction

Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction Digital Remote Sensing Data Processing Digital Remote Sensing Data Processing and Analysis: An Introduction and Analysis: An Introduction Content Remote sensing data Spatial, spectral, radiometric and

More information

A remote sensing instrument collects information about an object or phenomenon within the

A remote sensing instrument collects information about an object or phenomenon within the Satellite Remote Sensing GE 4150- Natural Hazards Some slides taken from Ann Maclean: Introduction to Digital Image Processing Remote Sensing the art, science, and technology of obtaining reliable information

More information

Spectral Response for DigitalGlobe Earth Imaging Instruments

Spectral Response for DigitalGlobe Earth Imaging Instruments Spectral Response for DigitalGlobe Earth Imaging Instruments IKONOS The IKONOS satellite carries a high resolution panchromatic band covering most of the silicon response and four lower resolution spectral

More information

Data processing (3) Cloud and Aerosol Imager (CAI)

Data processing (3) Cloud and Aerosol Imager (CAI) Data processing (3) Cloud and Aerosol Imager (CAI) 1) Nobuyuki Kikuchi, 2) Haruma Ishida, 2) Takashi Nakajima, 3) Satoru Fukuda, 3) Nick Schutgens, 3) Teruyuki Nakajima 1) National Institute for Environmental

More information

LIST OF RECENT PLANTSCREEN TM INSTALLATIONS

LIST OF RECENT PLANTSCREEN TM INSTALLATIONS LIST OF RECENT PLANTSCREEN TM INSTALLATIONS The below-listed overview is example of recent PlantScreen TM high-throughput automated Systems manufactured and installed by the Photon Systems Instruments,

More information

Realization of a UV fisheye hyperspectral camera

Realization of a UV fisheye hyperspectral camera Realization of a UV fisheye hyperspectral camera Valentina Caricato, Andrea Egidi, Marco Pisani and Massimo Zucco, INRIM Outline Purpose of the instrument Required specs Hyperspectral technique Optical

More information

Roots and Stems and Leaves, Oh My!

Roots and Stems and Leaves, Oh My! Roots and Stems and Leaves, Oh My! Objectives 1. The student will be able to identify parts of a plant. 2. The student will understand the function of plant parts. Grade Level 1-3 4-6 TEKS: 1.6B, 2.6C;

More information

GLOBAL MONITORING FOR FOOD SECURITY IM SUDAN

GLOBAL MONITORING FOR FOOD SECURITY IM SUDAN GLOBAL MONITORING FOR FOOD SECURITY IM SUDAN GMFS 3 Carsten Haub & Klaus-Ulrich Komp 18.11.2010 www.eftas.com 1 World hunger World Summit on Food Security FAO, Rome 11.2009 Mehr als 1 Milliarde Mensche

More information

USE OF REMOTE SENSING FOR MONITORING WETLAND PARAMETERS RELEVANT TO BIRD CONSERVATION

USE OF REMOTE SENSING FOR MONITORING WETLAND PARAMETERS RELEVANT TO BIRD CONSERVATION USE OF REMOTE SENSING FOR MONITORING WETLAND PARAMETERS RELEVANT TO BIRD CONSERVATION AURELIE DAVRANCHE TOUR DU VALAT ONCFS UNIVERSITY OF PROVENCE AIX-MARSEILLE 1 UFR «Sciences géographiques et de l aménagement»

More information

Research Roadmap for the Future. National Grape and Wine Initiative March 2013

Research Roadmap for the Future. National Grape and Wine Initiative March 2013 Research Roadmap for the Future National Grape and Wine Initiative March 2013 Objective of Today s Meeting Our mission drives the roadmap Our Mission Drive research to maximize productivity, sustainability

More information

Remote sensing for habitat mapping and monitoring:

Remote sensing for habitat mapping and monitoring: Remote sensing for habitat mapping and monitoring: experiences from the EU projects SPIN & GEOLAND and other applications Michael Bock Brussels 24 October 2008 Folie 1 > Vortrag > Michael Bock Content

More information

Cultivating Agricultural Information Management System Using GIS Technology

Cultivating Agricultural Information Management System Using GIS Technology Hitachi Review Vol. 58 (2009), No. 6 265 Cultivating Agricultural Information Management System Using GIS Technology Improving Agricultural Efficiency through Information Technology Osamu Nishiguchi Noriko

More information

Radiation Transfer in Environmental Science

Radiation Transfer in Environmental Science Radiation Transfer in Environmental Science with emphasis on aquatic and vegetation canopy media Autumn 2008 Prof. Emmanuel Boss, Dr. Eyal Rotenberg Introduction Radiation in Environmental sciences Most

More information

The APOLLO cloud product statistics Web service

The APOLLO cloud product statistics Web service The APOLLO cloud product statistics Web service Introduction DLR and Transvalor are preparing a new Web service to disseminate the statistics of the APOLLO cloud physical parameters as a further help in

More information

ABSTRACT 1. INTRODUCTION

ABSTRACT 1. INTRODUCTION 1 PRECISION AGRICULTURE DEVELOPMENT IN TAIWAN Fu-Ming Lu Professor, Department of Bio-Industrial Mechatronics Engineering National Taiwan University, Taipei, Taiwan phone: +886-2-2363-7436; fax: +886-2-2362-7620

More information

RESOLUTION MERGE OF 1:35.000 SCALE AERIAL PHOTOGRAPHS WITH LANDSAT 7 ETM IMAGERY

RESOLUTION MERGE OF 1:35.000 SCALE AERIAL PHOTOGRAPHS WITH LANDSAT 7 ETM IMAGERY RESOLUTION MERGE OF 1:35.000 SCALE AERIAL PHOTOGRAPHS WITH LANDSAT 7 ETM IMAGERY M. Erdogan, H.H. Maras, A. Yilmaz, Ö.T. Özerbil General Command of Mapping 06100 Dikimevi, Ankara, TURKEY - (mustafa.erdogan;

More information

Dominique Courault 1 et al

Dominique Courault 1 et al Dominique Courault 1 et al 1 AVIGNON 2 Toulouse UMR TETIS Montpellier UMR Innovation CEEP réserve Crau Fondation Tour du Valat 1 1 SPOT4 on the mediterranean region biodiversity orchard A wide variety

More information

Blackbody radiation. Main Laws. Brightness temperature. 1. Concepts of a blackbody and thermodynamical equilibrium.

Blackbody radiation. Main Laws. Brightness temperature. 1. Concepts of a blackbody and thermodynamical equilibrium. Lecture 4 lackbody radiation. Main Laws. rightness temperature. Objectives: 1. Concepts of a blackbody, thermodynamical equilibrium, and local thermodynamical equilibrium.. Main laws: lackbody emission:

More information

ipot project Industrial Potato monitoring for the Belgian potato sector

ipot project Industrial Potato monitoring for the Belgian potato sector ipot project Industrial Potato monitoring for the Belgian potato sector Yannick Curnel, Jean-Pierre Goffart, Viviane Planchon (CRA-W) Version 25/04/2014 Financed by : BELSPO Project of 36 month 01/06/2014-31/05/2017

More information

Hyperspectral Satellite Imaging Planning a Mission

Hyperspectral Satellite Imaging Planning a Mission Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute of Aerospace, Langley, VA Outline Objective

More information

INSPIRE implementation pilot project

INSPIRE implementation pilot project INSPIRE implementation pilot project Implementation of INSPIRE directive in Hungarian e-environment sector KEOP-7.6.3.0-2008-0020 Tamás Tomor PhD, project manager Trans-Tisza Environmental Inspectorate

More information

Review for Introduction to Remote Sensing: Science Concepts and Technology

Review for Introduction to Remote Sensing: Science Concepts and Technology Review for Introduction to Remote Sensing: Science Concepts and Technology Ann Johnson Associate Director ann@baremt.com Funded by National Science Foundation Advanced Technological Education program [DUE

More information

ARM SWS to study cloud drop size within the clear-cloud transition zone

ARM SWS to study cloud drop size within the clear-cloud transition zone ARM SWS to study cloud drop size within the clear-cloud transition zone (GSFC) Yuri Knyazikhin Boston University Christine Chiu University of Reading Warren Wiscombe GSFC Thanks to Peter Pilewskie (UC)

More information

Soil degradation monitoring by active and passive remote-sensing means: examples with two degradation processes

Soil degradation monitoring by active and passive remote-sensing means: examples with two degradation processes Soil degradation monitoring by active and passive remote-sensing means: examples with two degradation processes Naftaly Goldshleger, *Eyal Ben-Dor,* *Ido Livne,* U. Basson***, and R.Ben-Binyamin*Vladimir

More information

Soybean Marketing & Production College, Minneapolis, MN. isafarmnet.com

Soybean Marketing & Production College, Minneapolis, MN. isafarmnet.com Soybean Marketing & Production College, Minneapolis, MN Peter Kyveryga, Ph.D. Operations Manager of Analytics On-Farm Network, Iowa Soybean Association Technical Editor-Precision Agriculture of the Agronomy

More information

Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer

Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer I. Genkova and C. N. Long Pacific Northwest National Laboratory Richland, Washington T. Besnard ATMOS SARL Le Mans, France

More information

AAFC Medium-Resolution EO Data Activities for Agricultural Risk Assessment

AAFC Medium-Resolution EO Data Activities for Agricultural Risk Assessment AAFC Medium-Resolution EO Data Activities for Agricultural Risk Assessment North American Drought Monitor (NADM) Ottawa, Ontario, Canada. October 15-17 2008. A. Davidson 1, A. Howard 1,2, K. Sun 1, M.

More information

Potential of Sugar cane monitoring using Synthetic Aperture Radar in Central Thailand

Potential of Sugar cane monitoring using Synthetic Aperture Radar in Central Thailand Potential of Sugar cane monitoring using Synthetic Aperture Radar in Central Thailand Thanit Intarat 1, Preesan Rakwatin 1, Panu Srestasathien 1, Peeteenut Triwong 2, Chanwit Tangsiriworakul 2, and Samart

More information

The Surface Energy Budget

The Surface Energy Budget The Surface Energy Budget The radiation (R) budget Shortwave (solar) Radiation Longwave Radiation R SW R SW α α = surface albedo R LW εσt 4 ε = emissivity σ = Stefan-Boltzman constant T = temperature Subsurface

More information

Remote sensing of precipitable water vapour and cloud cover for site selection of the European Extremely Large Telescope (E-ELT) using MERIS

Remote sensing of precipitable water vapour and cloud cover for site selection of the European Extremely Large Telescope (E-ELT) using MERIS Remote sensing of precipitable water vapour and cloud cover for site selection of the European Extremely Large Telescope (E-ELT) using MERIS H. Kurlandczyk 1 M.Sarazin 1 1 European Organisation for Astronomical

More information

ESTIMATION OF CHLOROPHYLL CONCENTRATION IN MAIZE USING SPECTRAL REFLECTANCE

ESTIMATION OF CHLOROPHYLL CONCENTRATION IN MAIZE USING SPECTRAL REFLECTANCE ESTIMATION OF CHLOROPHYLL CONCENTRATION IN MAIZE USING SPECTRAL REFLECTANCE L. J. Martinez M a *, A. Ramos a a Universidad Nacional de Colombia, Facultad de Ciencias Agrarias, Bogotá, Colombia (ljmartinezm,

More information

Selecting the appropriate band combination for an RGB image using Landsat imagery

Selecting the appropriate band combination for an RGB image using Landsat imagery Selecting the appropriate band combination for an RGB image using Landsat imagery Ned Horning Version: 1.0 Creation Date: 2004-01-01 Revision Date: 2004-01-01 License: This document is licensed under a

More information

Agricultural crop monitoring using airborne multi-spectral imagery and C-band synthetic aperture radar

Agricultural crop monitoring using airborne multi-spectral imagery and C-band synthetic aperture radar int. j. remote sensing, 1999, vol. 20, no. 4, 767± 787 Agricultural crop monitoring using airborne multi-spectral imagery and C-band synthetic aperture radar E. A. CLOUTIS,² D. R. CONNERY and F. J. DOVER

More information

Cloud detection and clearing for the MOPITT instrument

Cloud detection and clearing for the MOPITT instrument Cloud detection and clearing for the MOPITT instrument Juying Warner, John Gille, David P. Edwards and Paul Bailey National Center for Atmospheric Research, Boulder, Colorado ABSTRACT The Measurement Of

More information

Cloud Masking and Cloud Products

Cloud Masking and Cloud Products Cloud Masking and Cloud Products MODIS Operational Algorithm MOD35 Paul Menzel, Steve Ackerman, Richard Frey, Kathy Strabala, Chris Moeller, Liam Gumley, Bryan Baum MODIS Cloud Masking Often done with

More information

2 Absorbing Solar Energy

2 Absorbing Solar Energy 2 Absorbing Solar Energy 2.1 Air Mass and the Solar Spectrum Now that we have introduced the solar cell, it is time to introduce the source of the energy the sun. The sun has many properties that could

More information

Laboratory scale electrical resistivity measurements to monitor the heat propagation within porous media for low enthalpy geothermal applications

Laboratory scale electrical resistivity measurements to monitor the heat propagation within porous media for low enthalpy geothermal applications 32 CONVEGNO NAZIONALE 19-21 Novembre 2013 TRIESTE Laboratory scale electrical resistivity measurements to monitor the heat propagation within porous media for low enthalpy geothermal applications N. Giordano

More information

Modern Agricultural Digital Management Network Information System of Heilongjiang Reclamation Area Farm

Modern Agricultural Digital Management Network Information System of Heilongjiang Reclamation Area Farm Modern Agricultural Digital Management Network Information System of Heilongjiang Reclamation Area Farm Xi Wang, Chun Wang, Wei Dong Zhuang, and Hui Yang Engineering Collage, Heilongjiang August the First

More information

Complex Vegetation Survey in a Fruit Plantation by Spectral Instruments

Complex Vegetation Survey in a Fruit Plantation by Spectral Instruments Hungarian Association of Agricultural Informatics European Federation for Information Technology in Agriculture, Food and the Environment Journal of Agricultural Informatics. 203 Vol. 4, No. 2 Complex

More information

FRESCO. Product Specification Document FRESCO. Authors : P. Wang, R.J. van der A (KNMI) REF : TEM/PSD2/003 ISSUE : 3.0 DATE : 30.05.

FRESCO. Product Specification Document FRESCO. Authors : P. Wang, R.J. van der A (KNMI) REF : TEM/PSD2/003 ISSUE : 3.0 DATE : 30.05. PAGE : 1/11 TITLE: Product Specification Authors : P. Wang, R.J. van der A (KNMI) PAGE : 2/11 DOCUMENT STATUS SHEET Issue Date Modified Items / Reason for Change 0.9 19.01.06 First Version 1.0 22.01.06

More information

Comprehensive Data Collection by Sensor Network and Optical Sensor for Agricultural Big Data

Comprehensive Data Collection by Sensor Network and Optical Sensor for Agricultural Big Data Comprehensive Data Collection by Sensor Network and Optical Sensor for Agricultural Big Data Masayuki HIRAFUJI* ** * NARO National Agriculture and Food Research Organization ** University of Tsukuba Big

More information

Phenology. Phenology and Growth of Grapevines. Vine Performance

Phenology. Phenology and Growth of Grapevines. Vine Performance Phenology and Growth of Grapevines Ker 2007 1 Soil Depth Texture Water and nutrient supply Climate Radiation Temperature Humidity Windspeed Rainfall Evaporation Cultural decisions Vine density Scion and

More information

Overview. What is EMR? Electromagnetic Radiation (EMR) LA502 Special Studies Remote Sensing

Overview. What is EMR? Electromagnetic Radiation (EMR) LA502 Special Studies Remote Sensing LA502 Special Studies Remote Sensing Electromagnetic Radiation (EMR) Dr. Ragab Khalil Department of Landscape Architecture Faculty of Environmental Design King AbdulAziz University Room 103 Overview What

More information

Utilization of the Dark Green Color Index to Determine Cotton Nitrogen Status

Utilization of the Dark Green Color Index to Determine Cotton Nitrogen Status Utilization of the Dark Green Color Index to Determine Cotton Nitrogen Status T.B. Raper 1, D.M. Oosterhuis 1, U. Siddons 1, L.C. Purcell 1, and M. Mozaffari 2 RESEARCH PROBLEM Inadequate or excessive

More information

The Sentinel-4/UVN instrument on-board MTG-S

The Sentinel-4/UVN instrument on-board MTG-S The Sentinel-4/UVN instrument on-board MTG-S Grégory Bazalgette Courrèges-Lacoste; Berit Ahlers; Benedikt Guldimann; Alex Short; Ben Veihelmann, Hendrik Stark ESA ESTEC European Space Technology & Research

More information

16 th IOCCG Committee annual meeting. Plymouth, UK 15 17 February 2011. mission: Present status and near future

16 th IOCCG Committee annual meeting. Plymouth, UK 15 17 February 2011. mission: Present status and near future 16 th IOCCG Committee annual meeting Plymouth, UK 15 17 February 2011 The Meteor 3M Mt satellite mission: Present status and near future plans MISSION AIMS Satellites of the series METEOR M M are purposed

More information

CSS 560 Principles of Ecology for Environmental Educators

CSS 560 Principles of Ecology for Environmental Educators CSS 560 Principles of Ecology for Environmental Educators Journaling task (15:00 min/each) Draw a diagram that shows the major components (boxes) and interactions (arrows) of a terrestrial ecosystem Conceptual

More information

Using Web-based Software for Irrigation and Nitrogen Management in Onion Production: our Research Plan for 2013

Using Web-based Software for Irrigation and Nitrogen Management in Onion Production: our Research Plan for 2013 Using Web-based Software for Irrigation and Nitrogen Management in Onion Production: our Research Plan for 2013 Andre Biscaro, Farm Advisor UCCE Los Angeles County Michael Cahn, Farm Advisor UCCE Monterey

More information

AT&T Global Network Client for Windows Product Support Matrix January 29, 2015

AT&T Global Network Client for Windows Product Support Matrix January 29, 2015 AT&T Global Network Client for Windows Product Support Matrix January 29, 2015 Product Support Matrix Following is the Product Support Matrix for the AT&T Global Network Client. See the AT&T Global Network

More information

Integrating Environmental Optics into Multidisciplinary, Predictive Models of Ocean Dynamics

Integrating Environmental Optics into Multidisciplinary, Predictive Models of Ocean Dynamics DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Integrating Environmental Optics into Multidisciplinary, Predictive Models of Ocean Dynamics John J. Cullen Department

More information

Using Remote Sensing to Monitor Soil Carbon Sequestration

Using Remote Sensing to Monitor Soil Carbon Sequestration Using Remote Sensing to Monitor Soil Carbon Sequestration E. Raymond Hunt, Jr. USDA-ARS Hydrology and Remote Sensing Beltsville Agricultural Research Center Beltsville, Maryland Introduction and Overview

More information

Treasure Hunt. Lecture 2 How does Light Interact with the Environment? EMR Principles and Properties. EMR and Remote Sensing

Treasure Hunt. Lecture 2 How does Light Interact with the Environment? EMR Principles and Properties. EMR and Remote Sensing Lecture 2 How does Light Interact with the Environment? Treasure Hunt Find and scan all 11 QR codes Choose one to watch / read in detail Post the key points as a reaction to http://www.scoop.it/t/env202-502-w2

More information

Cellulosic Feedstocks: Mitigating Risk and Cost Through a Portfolio Approach

Cellulosic Feedstocks: Mitigating Risk and Cost Through a Portfolio Approach Cellulosic Feedstocks: Mitigating Risk and Cost Through a Portfolio Approach World Congress on Industrial Biotechnology April 20, 2016 Sam Jackson, VP Business Development Genera Energy Privately held

More information

BRDF, BRF and HDRF in the Revised Manuscript

BRDF, BRF and HDRF in the Revised Manuscript Atmos. Chem. Phys. Discuss., 11, C13026 C13047, 2011 www.atmos-chem-phys-discuss.net/11/c13026/2011/ Author(s) 2011. This work is distributed under the Creative Commons Attribute 3.0 License. Atmospheric

More information

IMAGINES_VALIDATIONSITESNETWORK ISSUE 1.00. EC Proposal Reference N FP7-311766. Name of lead partner for this deliverable: EOLAB

IMAGINES_VALIDATIONSITESNETWORK ISSUE 1.00. EC Proposal Reference N FP7-311766. Name of lead partner for this deliverable: EOLAB Date Issued: 26.03.2014 Issue: I1.00 IMPLEMENTING MULTI-SCALE AGRICULTURAL INDICATORS EXPLOITING SENTINELS RECOMMENDATIONS FOR SETTING-UP A NETWORK OF SITES FOR THE VALIDATION OF COPERNICUS GLOBAL LAND

More information

Auburn University s Solar Photovoltaic Array Tilt Angle and Tracking Performance Experiment

Auburn University s Solar Photovoltaic Array Tilt Angle and Tracking Performance Experiment Auburn University s Solar Photovoltaic Array Tilt Angle and Tracking Performance Experiment Julie A. Rodiek 1, Steve R. Best 2, and Casey Still 3 Space Research Institute, Auburn University, AL, 36849,

More information

1. Theoretical background

1. Theoretical background 1. Theoretical background We consider the energy budget at the soil surface (equation 1). Energy flux components absorbed or emitted by the soil surface are: net radiation, latent heat flux, sensible heat

More information

Paint it cool! Pigments for solar heat management in paints

Paint it cool! Pigments for solar heat management in paints Paint it cool! Pigments for solar heat management in paints Reflection instead of absorption keeps the coated surface cool Of 1 % solar radiation, % are absorbed at the earth s surface. Absorption 25 %

More information

AUTOMATED SOIL WATER TENSION-BASED DRIP IRRIGATION FOR PRECISE IRRIGATION SCHEDULING

AUTOMATED SOIL WATER TENSION-BASED DRIP IRRIGATION FOR PRECISE IRRIGATION SCHEDULING AUTOMATED SOIL WATER TENSION-BASED DRIP IRRIGATION FOR PRECISE IRRIGATION SCHEDULING Sabine Seidel sabine.seidel@tu-dresden.de Institute of Hydrology and Meteorology, Faculty of Environmental Sciences,

More information

System competence Farm management crop cultivation

System competence Farm management crop cultivation System competence Farm management crop cultivation AGRO-NET System: Holistic solutions for crop cultivation. Data management plays a significant role in plant cultivation today. The tasks of crop management,

More information