Overview on Land Cover and Land Use Monitoring in Russia
|
|
- Joleen Lester
- 5 years ago
- Views:
Transcription
1 Russian Academy of Sciences Space Research Institute Overview on Land Cover and Land Use Monitoring in Russia Sergey Bartalev Joint NASA LCLUC Science Team Meeting and GOFC-GOLD/NERIN, NEESPI Workshop Monitoring land cover and land use in boreal and temperate Europe August 25-28, 2010, Tartu, Estonia
2 Russian Academy of Sciences activity related to LCLU satellite monitoring land cover mapping using MODIS data and LAGMA method; agricultural monitoring with focus on arable land and crops mapping; burnt area mapping and severity assessment using MODIS and high-resolution optical data; TerraNorte Information System
3 Some features of R&D at IKI Focus is on national (entire Russia) and sub-continental (Northern Eurasia) monitoring Primary sources of EO data are moderate resolution satellite instruments (mainly MODIS and SPOT-VGT), while the role of high-res. (e.g. Landsat-TM, SPOT-HRV/HRVIR, RapidEye) data for national monitoring is rapidly increasing Focus on long-term time-series data analysis for land cover mapping and monitoring Development of automatic satellite data processing chains to perform monitoring in the routine and repeatable manner
4
5 GLC2000 legend for Northern Eurasia FORESTS WETLANDS NON-VEGETATED LAND COVER TYPES TUNDRA SHRUBLANDS OTHER VEGETATION TYPES AND COMPLEXES GRASSLANDS
6 Main features of GLC2000 Northern Eurasia land cover map 1-km resolution SPOT-Vegetation data for year 2000 Mapping method involves: i. set of advanced spectral-temporal and spectral-angular indexes to distinguish various land cover types ii. clustering and significant human input for labelling and decomposing of ambiguous semantic clusters Advantages: large number of mapped land cover types high level mapping accuracy Disadvantages: limited repeatability
7 Towards better land cover mapping: main directions of consideration - spatial resolution of mapping according to satellite sensors ability (1 km => 250 m) - mapping accuracy - mapping repeatability (annual as the target) - possibility to modify mapping legend (e.g. to increase number of thematic classes)
8 Cloud-free summer MODIS composite
9 Cloud-free winter MODIS composite
10 Classification based on LAGMA method
11 TerraNorte RLC mapping method Thematic source data Satellite data GLC 2000 Forest map Peatlands map Training data preparation Histogram filtration GIS analysis Manual selection Expert evaluation and correction Training samples Spectral mixture modeling Training samples spatial regularization (gridding) Classes signatures for cell-grid nodes Contextual Maximum Likelihood classification Auxiliary thematic products New land cover map GIS analysis Burnt area Croplands Water mask Urban mask
12 Contextual Maximum Likelihood Classification Local spectral-temporal signatures of classes Spectral-temporal MODIS data composites Covariation of metrics Average of metrics Number of samples Metrics for the pixel Maximum likelihood classifier Probabilities for classes
13 TerraNorte RLC Map for 2005 The land cover map for Russia based on MODIS 250 m
14 The Legend of TerraNorte RLC Map
15 The Pareto Boundary method to estimate accuracy of the land cover map Boschetti et al. Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: The Pareto Boundary // Remote Sensing of Environment 91 (2004)
16 TerraNorte RLC accuracy assessment for two test sites 1 2 Site 1: Karelia Republic Pareto optimum: for 250 m resolution for 1000 m resolution Site 2: Komi Republic
17 PVI time-series analysis NIR A PVI Soil line PVI=Distance (A, Soil line) PVI= *RED+0.56*NIR RED Inter-annual PVI dynamic similarity analysis and multi-annual phenological features retrieval 0,4 PVI arable lands natural vegetation 0,3 0,2 0,
18 The features for arable lands mapping with MODIS multi-annual data time-series Features Description Formula Feature Image Histograms Index of shortest vegetation period j j L1/ 2 min ( tl t F) j 1.. N, PVImax PVI( tl) PVI( t F), 2 tl tmax, tf t max Index of vegetation spring development j 1.. MSI min PVI N i spw ij Index of seasonal biomass decrease NSMI const N j 1 N PVI j 1 i sw min sw j PVI i
19 Arable lands map based on MODIS
20 MODIS derived arable lands map vs. HR imagery based fields limits
21 Crop types classification using MODIS 0,35 PVI 0,3 0,25 0,2 Peas Melilot Potato Alfalfa Perennials Spring crops Fallow Rape Winter rye Barley+Peas mixture 0,15 0,1 0, Apr 7-May 27-May 16-Jun 6-Jul 26-Jul 15-Aug 4-Sep 24-Sep Ground-truth Omission (%) , , ,1 Classification , , , , , , ,7 Commission (%) 3,3 3,1 9,8 3,7 0,9 6,5 4,5 9,8 11,1 9,8 93
22 SWVI (x1000) Burnt area mapping using MODIS Multi-annual MODIS data fire day Contaminated pixels detection mean mean-2*sdev mean+2*sdev current year Detection of SWVI statistical anomalies SWVI time-series restoration Combined SWVI and thermal anomalies SWVI time-series Burnt area maps Thermal anomalies
23 Burnt area for year 2009
24 Fires in Central European Russia in 2010 The fires have been mapped using MODIS data and MOD14 thermal anomalies detection algorithm implemented within the Satellite Monitoring Information System of Russian Forest Service The considered period: July 1 August 21, 2010
25 Forest burns severity assessment Ground-truth collection using HR data samples Burns severity assessment using MODIS data Field measurements HR Satellite images Burnt area Burns severity mapping assessment Land cover 12 Усыхающие насаждения Data analysis Число набл Степень повреждения по данным MODIS 180 Burns severity by forest types Число набл Statistical relationships Burn severity assessment 0-0,5 0,0 0,5 1,0 1,5 2,0 2,5 3,0 3,5 4,0 4,5 5,0 Statistics on forest mortality Lost forest area assessment
26 Post-fire assessment of trees mortality Landsat-TM ; RGB:NIR-SWIR-Red Trees mortality < 10% 11-40% 41-80% >80% Forestry districts Burns limits from MODIS
27 Response of forests to drought Vyksunskyy administrative district Semenovskyy administrative district
28 TerraNorte: Data Products on-line
Module 2.1 Monitoring activity data for forests using remote sensing
Module 2.1 Monitoring activity data for forests using remote sensing Module developers: Frédéric Achard, European Commission (EC) Joint Research Centre (JRC) Jukka Miettinen, EC JRC Brice Mora, Wageningen
More information4/18/2006 Olga N. Krankina, OSU
(Northern Eurasia Landcover Dynamics Analysis) Monitoring and validating the distribution and change in land cover across Northern Eurasia Objectives Characterize land cover and its change across boreal
More informationMethods review for the Global Land Cover 2000 initiative Presentation made by Frédéric Achard on November 30 th 2000
Methods review for the Global Land Cover 2000 initiative Presentation made by Frédéric Achard on November 30 th 2000 1. Contents Objectives Specifications of the GLC-2000 exercise Strategy for the analysis
More informationLand cover/land use mapping and cha Mongolian plateau using remote sens. Title. Author(s) Bagan, Hasi; Yamagata, Yoshiki. Citation Japan.
Title Land cover/land use mapping and cha Mongolian plateau using remote sens Author(s) Bagan, Hasi; Yamagata, Yoshiki International Symposium on "The Imp Citation Region Specific Systems". 6 Nove Japan.
More informationGreening of Arctic: Knowledge and Uncertainties
Greening of Arctic: Knowledge and Uncertainties Jiong Jia, Hesong Wang Chinese Academy of Science jiong@tea.ac.cn Howie Epstein Skip Walker Moscow, January 28, 2008 Global Warming and Its Impact IMPACTS
More informationAGOG 485/585 /APLN 533 Spring Lecture 5: MODIS land cover product (MCD12Q1). Additional sources of MODIS data
AGOG 485/585 /APLN 533 Spring 2019 Lecture 5: MODIS land cover product (MCD12Q1). Additional sources of MODIS data Outline Current status of land cover products Overview of the MCD12Q1 algorithm Mapping
More informationCadasterENV Sweden Time series in support of a multi-purpose land cover mapping system at national scale
CadasterENV Sweden Time series in support of a multi-purpose land cover mapping system at national scale Mats Rosengren, Camilla Jönsson ; Metria AB Marc Paganini ; ESA ESRIN Background CadasterENV Sweden
More informationAgricultural land-use from space. David Pairman and Heather North
Agricultural land-use from space David Pairman and Heather North Talk Outline Motivation Challenges Different approach Paddock boundaries Classifications Examples Accuracy Issues Data sources Future possibilities
More informationClassification of Agricultural Crops and Quality Assessment Using Multispectral and Multitemporal Images
Classification of Agricultural Crops and Quality Assessment Using Multispectral and Multitemporal Images Bo Ranneby and Jun Yu Research Report Centre of Biostochastics Swedish University of Report 2003:7
More informationANALYSIS AND VALIDATION OF A METHODOLOGY TO EVALUATE LAND COVER CHANGE IN THE MEDITERRANEAN BASIN USING MULTITEMPORAL MODIS DATA
PRESENT ENVIRONMENT AND SUSTAINABLE DEVELOPMENT, NR. 4, 2010 ANALYSIS AND VALIDATION OF A METHODOLOGY TO EVALUATE LAND COVER CHANGE IN THE MEDITERRANEAN BASIN USING MULTITEMPORAL MODIS DATA Mara Pilloni
More informationUK Contribution to the European CORINE Land Cover
Centre for Landscape andwww.le.ac.uk/clcr Climate Research CENTRE FOR Landscape and Climate Research UK Contribution to the European CORINE Land Cover Dr Beth Cole Corine Coordination of Information on
More informationSub-pixel regional land cover mapping. with MERIS imagery
Sub-pixel regional land cover mapping with MERIS imagery R. Zurita Milla, J.G.P.W. Clevers and M. E. Schaepman Centre for Geo-information Wageningen University 29th September 2005 Overview Land Cover MERIS
More informationESA-GLOBCOVER - A Global Land Cover Service at 300 m from ENVISAT MERIS Time Series
October 15, 2008 (Jena Germany) ESA-GLOBCOVER - A Global Land Cover Service at 300 m from ENVISAT MERIS Time Series Defourny P.1, Bontemps S., Vancutsem C.1, Pekel J.F.1,, Vanbogaert E.1, Bicheron P.2,
More informationDeriving Landcover Information over Siberia using MERIS and MODIS data
Deriving Landcover Information over Siberia using MERIS and data Dr Laine Skinner (1) and Dr Adrian Luckman (1) (1) University of Wales Swansea, Singleton Park, SA2 8PP Swansea, UK. gglskinn@swan.ac.uk
More informationPreparation of LULC map from GE images for GIS based Urban Hydrological Modeling
International Conference on Modeling Tools for Sustainable Water Resources Management Department of Civil Engineering, Indian Institute of Technology Hyderabad: 28-29 December 2014 Abstract Preparation
More informationPYROGEOGRAPHY OF THE IBERIAN PENINSULA
PYROGEOGRAPHY OF THE IBERIAN PENINSULA Teresa J. Calado (1), Carlos C. DaCamara (1), Sílvia A. Nunes (1), Sofia L. Ermida (1) and Isabel F. Trigo (1,2) (1) Instituto Dom Luiz, Universidade de Lisboa, Lisboa,
More informationGCOS High Resolution Land Cover ECV. Slide 11
GCOS High Resolution Land Cover ECV Slide 11 Detailed Land Cover and Climate Land cover and its changes modify the goods and services provided to human society force climate by altering water and energy
More informationData Fusion and Multi-Resolution Data
Data Fusion and Multi-Resolution Data Nature.com www.museevirtuel-virtualmuseum.ca www.srs.fs.usda.gov Meredith Gartner 3/7/14 Data fusion and multi-resolution data Dark and Bram MAUP and raster data Hilker
More informationInfluence of Micro-Climate Parameters on Natural Vegetation A Study on Orkhon and Selenge Basins, Mongolia, Using Landsat-TM and NOAA-AVHRR Data
Cloud Publications International Journal of Advanced Remote Sensing and GIS 2013, Volume 2, Issue 1, pp. 160-172, Article ID Tech-102 ISSN 2320-0243 Research Article Open Access Influence of Micro-Climate
More informationGNR401 Principles of Satellite Image Processing
Principles of Satellite Image Processing Instructor: Prof. CSRE, IIT Bombay bkmohan@csre.iitb.ac.in Slot 5 Guest Lecture PCT and Band Arithmetic November 07, 2012 9.30 AM 10.55 AM IIT Bombay Slide 1 November
More informationLand abandonment and recultivation in Central and Eastern Europe
Land abandonment and recultivation in Central and Eastern Europe Patrick Hostert Patrick Griffiths, Stephan Estel, Camilo Alcantara, Tobias Kuemmerle, Dirk Pflugmacher, Alexander Prishchepov, Volker Radeloff
More informationLeveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics
Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics Caitlin Kontgis caitlin@descarteslabs.com @caitlinkontgis Descartes Labs Overview What is Descartes
More informationLAND COVER CATEGORY DEFINITION BY IMAGE INVARIANTS FOR AUTOMATED CLASSIFICATION
LAND COVER CATEGORY DEFINITION BY IMAGE INVARIANTS FOR AUTOMATED CLASSIFICATION Nguyen Dinh Duong Environmental Remote Sensing Laboratory Institute of Geography Hoang Quoc Viet Rd., Cau Giay, Hanoi, Vietnam
More informationPatrick Leinenkugel. German Aerospace Center (DLR) Vortrag > Autor > Dokumentname > Datum
Characterisation of land surface phenology and land cover for the Mekong Basin on the basis of multitemporal and multispectral satellite data from the MODIS Sensor Patrick Leinenkugel German Aerospace
More informationThe German GMES extension to support land cover data systems: Status and outlook
The German GMES extension to support land cover data systems: Status and outlook Bergen, 2nd July 2010 Oliver Buck, EFTAS GmbH Co-Funded by the Federal Ministry of Economics and Technology (BMWi) via the
More informationApplication of EO for Environmental Monitoring at the Finnish Environment Institute
Application of EO for Environmental Monitoring at the Finnish Environment Institute Data Processing (CalFin) and Examples of Products Markus Törmä Finnish Environment Institute SYKE markus.torma@ymparisto.fi
More informationGeospatial technology for land cover analysis
Home Articles Application Environment & Climate Conservation & monitoring Published in : Middle East & Africa Geospatial Digest November 2013 Lemenkova Polina Charles University in Prague, Faculty of Science,
More informationAn Internet-based Agricultural Land Use Trends Visualization System (AgLuT)
An Internet-based Agricultural Land Use Trends Visualization System (AgLuT) Second half yearly report 01-01-2001-06-30-2001 Prepared for Missouri Department of Natural Resources Missouri Department of
More informationCapabilities and Limitations of Land Cover and Satellite Data for Biomass Estimation in African Ecosystems Valerio Avitabile
Capabilities and Limitations of Land Cover and Satellite Data for Biomass Estimation in African Ecosystems Valerio Avitabile Kaniyo Pabidi - Budongo Forest Reserve November 13th, 2008 Outline of the presentation
More informationLecture Topics. 1. Vegetation Indices 2. Global NDVI data sets 3. Analysis of temporal NDVI trends
Lecture Topics 1. Vegetation Indices 2. Global NDVI data sets 3. Analysis of temporal NDVI trends Why use NDVI? Normalize external effects of sun angle, viewing angle, and atmospheric effects Normalize
More informationYanbo Huang and Guy Fipps, P.E. 2. August 25, 2006
Landsat Satellite Multi-Spectral Image Classification of Land Cover Change for GIS-Based Urbanization Analysis in Irrigation Districts: Evaluation in Low Rio Grande Valley 1 by Yanbo Huang and Guy Fipps,
More informationProject title. Evaluation of MIR data from SPOT4/VEGETATION for the monitoring of climatic phenomena impact on vegetation
Project title 1 Evaluation of MIR data from SPOT4/VEGETATION for the monitoring of climatic phenomena impact on vegetation Principal investigator: M-Christine IMBERTI Co-investigator: Frédéric BIARD Stockholm
More informationCross-Sensor Continuity Science Algorithm
Cross-Sensor Continuity Science Algorithm - Long Term Vegetation Index and Phenology Workshop - Javzan Tsend-Ayush and Tomoaki Miura Department of Natural Resources and Environmental Management University
More informationTemporal and spatial approaches for land cover classification.
Temporal and spatial approaches for land cover classification. Ryabukhin Sergey sergeyryabukhin@gmail.com Abstract. This paper describes solution for Time Series Land Cover Classification Challenge (TiSeLaC).
More informationRegional Networks and NASA LCLUC Program
Global Observation of Forest and Land Cover Dynamics Regional Networks and NASA LCLUC Program Dr. Olga Krankina College of Forestry, Oregon State University GOFC-GOLD Regional Networks Coordinator with
More informationLand Cover Project ESA Climate Change Initiative. Processing chain for land cover maps dedicated to climate modellers.
Land Cover Project ESA Climate Change Initiative Processing chain for land cover maps dedicated to climate modellers land_cover_cci S. Bontemps 1, P. Defourny 1, V. Kalogirou 2, F.M. Seifert 2 and O. Arino
More informationDETECTION OF CHANGES IN FOREST LANDCOVER TYPE AFTER FIRES IN PORTUGAL
DETECTION OF CHANGES IN FOREST LANDCOVER TYPE AFTER FIRES IN PORTUGAL Paulo M. Barbosa, Mário R. Caetano, and Teresa G. Santos Centro Nacional de Informação Geográfica (CNIG), Portugal barp@cnig.pt, mario@cnig.pt,
More informationAPPENDIX. Normalized Difference Vegetation Index (NDVI) from MODIS data
APPENDIX Land-use/land-cover composition of Apulia region Overall, more than 82% of Apulia contains agro-ecosystems (Figure ). The northern and somewhat the central part of the region include arable lands
More informationREMOTELY SENSED INFORMATION FOR CROP MONITORING AND FOOD SECURITY
LEARNING OBJECTIVES Lesson 4 Methods and Analysis 2: Rainfall and NDVI Seasonal Graphs At the end of the lesson, you will be able to: understand seasonal graphs for rainfall and NDVI; describe the concept
More informationREMOTE SENSING ACTIVITIES. Caiti Steele
REMOTE SENSING ACTIVITIES Caiti Steele REMOTE SENSING ACTIVITIES Remote sensing of biomass: Field Validation of Biomass Retrieved from Landsat for Rangeland Assessment and Monitoring (Browning et al.,
More information7/8/2010 Olga N. Krankina, OSU
Northern Eurasia Regional Information Network Olga N. Krankina Department of Forest Science Oregon State University Motivation Northern Eurasia (NE) is the largest landmass, the largest terrestrial reservoir
More information1. Introduction. S.S. Patil 1, Sachidananda 1, U.B. Angadi 2, and D.K. Prabhuraj 3
Cloud Publications International Journal of Advanced Remote Sensing and GIS 2014, Volume 3, Issue 1, pp. 525-531, Article ID Tech-249 ISSN 2320-0243 Research Article Open Access Machine Learning Technique
More informationNASA MODIS and VIIRS Burned Area Products Update
NASA MODIS and VIIRS Burned Area Products Update Louis Giglio, Luigi Bosche@, Michael Humber, William Walsh, David Roy, Christopher JusIce GOFC Fire Implementa0on Team Mee0ng November 2016 MODIS Burned
More informationA new perspective on aerosol direct radiative effects in South Atlantic and Southern Africa
A new perspective on aerosol direct radiative effects in South Atlantic and Southern Africa Ian Chang and Sundar A. Christopher Department of Atmospheric Science University of Alabama in Huntsville, U.S.A.
More informationIMPROVING REMOTE SENSING-DERIVED LAND USE/LAND COVER CLASSIFICATION WITH THE AID OF SPATIAL INFORMATION
IMPROVING REMOTE SENSING-DERIVED LAND USE/LAND COVER CLASSIFICATION WITH THE AID OF SPATIAL INFORMATION Yingchun Zhou1, Sunil Narumalani1, Dennis E. Jelinski2 Department of Geography, University of Nebraska,
More informationMany of remote sensing techniques are generic in nature and may be applied to a variety of vegetated landscapes, including
Remote Sensing of Vegetation Many of remote sensing techniques are generic in nature and may be applied to a variety of vegetated landscapes, including 1. Agriculture 2. Forest 3. Rangeland 4. Wetland,
More informationDynamic Land Cover Dataset Product Description
Dynamic Land Cover Dataset Product Description V1.0 27 May 2014 D2014-40362 Unclassified Table of Contents Document History... 3 A Summary Description... 4 Sheet A.1 Definition and Usage... 4 Sheet A.2
More informationEXTRACTION OF REMOTE SENSING INFORMATION OF BANANA UNDER SUPPORT OF 3S TECHNOLOGY IN GUANGXI PROVINCE
EXTRACTION OF REMOTE SENSING INFORMATION OF BANANA UNDER SUPPORT OF 3S TECHNOLOGY IN GUANGXI PROVINCE Xin Yang 1,2,*, Han Sun 1, 2, Zongkun Tan 1, 2, Meihua Ding 1, 2 1 Remote Sensing Application and Test
More informationISO Land Cover for Agricultural Regions of Canada, Circa 2000 Data Product Specification. Revision: A
ISO 19131 Land Cover for Agricultural Regions of Canada, Circa 2000 Data Product Specification Revision: A Data specification: Land Cover for Agricultural Regions, circa 2000 Table of Contents 1. OVERVIEW...
More informationComparison of NASA AIRS and MODIS Land Surface Temperature and Infrared Emissivity Measurements from the EOS AQUA platform
Comparison of NASA AIRS and MODIS Land Surface Temperature and Infrared Emissivity Measurements from the EOS AQUA platform Robert Knuteson, Steve Ackerman, Hank Revercomb, Dave Tobin University of Wisconsin-Madison
More informationRemote Sensing products and global datasets. Joint Research Centre, European Commission
Remote Sensing products and global datasets Joint Research Centre, European Commission Setting the stage. Needs and requirements for integrated approach(es) for land degradation assessment. in Special
More informationUsing satellite images to calculate land use and land cover statistics
Using satellite images to calculate land use and land cover statistics National Administrative Department of Statistics DANE Colombia April 2016 @DANE_Colombia /DANEColombia /DANEColombia Background (1)
More informationSpanish national plan for land observation: new collaborative production system in Europe
ADVANCE UNEDITED VERSION UNITED NATIONS E/CONF.103/5/Add.1 Economic and Social Affairs 9 July 2013 Tenth United Nations Regional Cartographic Conference for the Americas New York, 19-23, August 2013 Item
More informationInternational Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN
International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July-2015 1428 Accuracy Assessment of Land Cover /Land Use Mapping Using Medium Resolution Satellite Imagery Paliwal M.C &.
More informationLAND COVER / LAND USE MAP OF GERMANY BASED ON MERIS FULL RESOLUTION DATA
LAND COVER / LAND USE MAP OF GERMANY BASED ON MERIS FULL RESOLUTION DATA U. Geßner (1), K. P. Günther (2), S. W. Maier (3) (1) German Aerospace Center (DLR) German Remote Sensing Data Center (DFD) Münchnerstraße
More informationAniekan Eyoh 1* Department of Geoinformatics & Surveying, Faculty of Environmental Studies, University of Uyo, Nigeria
Available online at http://euroasiapub.org/journals.php, pp. 53~62 Thomson Reuters Researcher ID: L-5236-2015 TEMPORAL APPRAISAL OF LAND SURFACE TEMPERATURE DYNAMICS ACROSS THE NINE STATES OF NIGER DELTA
More informationGMFS South Sudan CFSAM Support Kit
GMFS South Sudan CFSAM Support Kit version 1.0 October, 2011 Table of contents 1 Disclaimer... 1 2 General introduction... 1 3 South Sudan base maps and statistics... 2 3.1 Base map... 2 3.2 Agroecological
More informationChanges in Seasonal Albedo with Land Cover Class
Name: Date: Changes in Seasonal Albedo with Land Cover Class Guiding question: How does albedo change over the seasons in different land cover classes? Introduction. Now that you have completed the Introduction
More informationLand Use/Cover Changes & Modeling Urban Expansion of Nairobi City
Land Use/Cover Changes & Modeling Urban Expansion of Nairobi City Overview Introduction Objectives Land use/cover changes Modeling with Cellular Automata Conclusions Introduction Urban land use/cover types
More informationAerosol Optical Depth Variation over European Region during the Last Fourteen Years
Aerosol Optical Depth Variation over European Region during the Last Fourteen Years Shefali Singh M.Tech. Student in Computer Science and Engineering at Meerut Institute of Engineering and Technology,
More informationDefining microclimates on Long Island using interannual surface temperature records from satellite imagery
Defining microclimates on Long Island using interannual surface temperature records from satellite imagery Deanne Rogers*, Katherine Schwarting, and Gilbert Hanson Dept. of Geosciences, Stony Brook University,
More informationUSAGE AND PLANS OF HOTSPOT INFORMATION IN INDONESIA
USAGE AND PLANS OF HOTSPOT INFORMATION IN INDONESIA Orbita Roswintiarti Natural Resources and Environmental Monitoring Division Indonesian National Institute of Aeronautics and Space (LAPAN) http://www.rs
More informationAn Automated Object-Oriented Satellite Image Classification Method Integrating the FAO Land Cover Classification System (LCCS).
An Automated Object-Oriented Satellite Image Classification Method Integrating the FAO Land Cover Classification System (LCCS). Ruvimbo Gamanya Sibanda Prof. Dr. Philippe De Maeyer Prof. Dr. Morgan De
More informationPan-Arctic, Regional and Local Land Cover Products
Pan-Arctic, Regional and Local Land Cover Products Marcel Urban (1), Stefan Pöcking (1), Sören Hese (1) & Christiane Schmullius (1) (1) Friedrich-Schiller University Jena, Department of Earth Observation,
More informationGanbat.B, Agro meteorology Section
NATIONAL AGENCY FOR METEOROLOGY, HYDROLOGY AND ENVIRONMENT MONITORING OF MONGOLIA Ganbat.B, Agro meteorology Section OF INSTITUTE OF METEOROLOGY AND HYDROLOGY 2009 YEAR Location Climate Northern Asia,
More informationMongolian Academy of Sciences
Mongolian Academy of Sciences Figure 5. Change of subsurface profile temperature at some observation well in Jakarta. Figure 6. Change of air temperature in Jakarta in the period of 100 years (KLH, BMG,
More informationInterannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region
Yale-NUIST Center on Atmospheric Environment Interannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region ZhangZhen 2015.07.10 1 Outline Introduction Data
More informationAccess to global land cover reference datasets and their suitability for land cover mapping activities
Access to global land cover reference datasets and their suitability for land cover mapping activities Brice Mora, N.E.Tsendbazar, M.Herold LPVE meeting, Frascati, January 29, 2014 Outlook 1. Background
More informationCurrent LCLUC challenges in SCERIN: Assessing Ecosystem Function and Processes
Summary of the SCERIN 2 meeting Current LCLUC challenges in SCERIN: Assessing Ecosystem Function and Processes Katarzyna Ostapowicz Department of GIS, Cartography and Remote Sensing, Institute of Geography
More informationValidation and verification of land cover data Selected challenges from European and national environmental land monitoring
Validation and verification of land cover data Selected challenges from European and national environmental land monitoring Gergely Maucha head, Environmental Applications of Remote Sensing Institute of
More informationC N E S, U M R I R I S A
M O N I T O R I N G U R B A N A R E A S W I T H S E N T I N E L - 2. APPLICATION TO THE UPDATE OF THE COPERNICUS HIGH RESOLUTION LAYER IMPERVIOUSNESS DEGREE O c t o b e r 2 5 th 2016, Brussels A n t o
More informationDeriving Uncertainty of Area Estimates from Satellite Imagery using Fuzzy Land-cover Classification
International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 10 (2013), pp. 1059-1066 International Research Publications House http://www. irphouse.com /ijict.htm Deriving
More informationUsing MERIS and MODIS for Land Cover Mapping in the Netherlands
Using MERIS and for Land Cover Mapping in the Netherlands Raul Zurita Milla, Michael Schaepman and Jan Clevers Wageningen University, Centre for Geo-Information, NL Introduction Actual and reliable information
More informationRemote Sensing and GIS Application in Change Detection Study Using Multi Temporal Satellite
Cloud Publications International Journal of Advanced Remote Sensing and GIS 2013, Volume 2, Issue 1, pp. 374-378, Article ID Tech-181 ISSN 2320-0243 Case Study Open Access Remote Sensing and GIS Application
More informationCombination of Microwave and Optical Remote Sensing in Land Cover Mapping
Combination of Microwave and Optical Remote Sensing in Land Cover Mapping Key words: microwave and optical remote sensing; land cover; mapping. SUMMARY Land cover map mapping of various types use conventional
More informationThe MODIS Cloud Data Record
The MODIS Cloud Data Record Brent C. Maddux 1,2 Steve Platnick 3, Steven A. Ackerman 1 Paul Menzel 1, Kathy Strabala 1, Richard Frey 1, 1 Cooperative Institute for Meteorological Satellite Studies, 2 Department
More informationCopernicus for Statistics
Copernicus for Statistics Stephan Arnold Areal statistics, Federal Statistical Office Thomas Wiatr Remote sensing, Federal Agency for Cartography and Geodesy Content Requirements and Setting Eurostat s
More informationZRCSAZU. Remote sensing and Earth observation data at ZRC SAZU. dr. Tatjana Veljanovski Atrij ZRC Ljubljana
ZRCSAZU Remote sensing and Earth observation data at ZRC SAZU dr. Tatjana Veljanovski 2016-06-08 Atrij ZRC Ljubljana Remote Sensing Department Remote Sensing Department 20 years of experience application,
More informationLAND USE MAPPING AND MONITORING IN THE NETHERLANDS (LGN5)
LAND USE MAPPING AND MONITORING IN THE NETHERLANDS (LGN5) Hazeu, Gerard W. Wageningen University and Research Centre - Alterra, Centre for Geo-Information, The Netherlands; gerard.hazeu@wur.nl ABSTRACT
More informationEcosystem Disturbance and
Remote Sensing of Forest Health: Ecosystem Disturbance and Recovery Tracker (edart) Region 5 Remote Sensing Lab Michèle Slaton, Alex Koltunov, Carlos Ramirez edart Overview A group of automated and interactive
More informationUrban Growth Analysis: Calculating Metrics to Quantify Urban Sprawl
Urban Growth Analysis: Calculating Metrics to Quantify Urban Sprawl Jason Parent jason.parent@uconn.edu Academic Assistant GIS Analyst Daniel Civco Professor of Geomatics Center for Land Use Education
More informationMonitoring of Tropical Deforestation and Land Cover Changes in Protected Areas: JRC Perspective
Monitoring of Tropical Deforestation and Land Cover Changes in Protected Areas: JRC Perspective Z. Szantoi, A. Brink, P. Mayaux, F. Achard Monitoring Of Natural resources for DEvelopment (MONDE) Joint
More informationDroughtWatch system operation in Mongolia
REGIONAL WORKSHOP ON UNDERSTANDING THE OPERATIONAL ASPECTS OF THE DROUGHT OBSERVATION SYSTEM IN MONGOLIA DroughtWatch system operation in Mongolia Dr. Munkhzul Dorjsuren Remote Sensing Specilist, IRIMHE
More informationWe greatly appreciate the thoughtful comments from the reviewers. According to the reviewer s comments, we revised the original manuscript.
Response to the reviews of TC-2018-108 The potential of sea ice leads as a predictor for seasonal Arctic sea ice extent prediction by Yuanyuan Zhang, Xiao Cheng, Jiping Liu, and Fengming Hui We greatly
More informationRemote Sensing of Snow GEOG 454 / 654
Remote Sensing of Snow GEOG 454 / 654 What crysopheric questions can RS help to answer? 2 o Where is snow lying? (Snow-covered area or extent) o How much is there? o How rapidly is it melting? (Area, depth,
More informationTHE ESTIMATE OF THE SPATIAL-TEMPORAL FEATURES OF VEGETATION COVER OF KAZAKHSTAN BASED ON TIME SERIES SATELLITE INDECES IN
THE ESTIMATE OF THE SPATIAL-TEMPORAL FEATURES OF VEGETATION COVER OF KAZAKHSTAN BASED ON TIME SERIES SATELLITE INDECES IN - I.Vitkovskaya a. M. Batyrbayeva a, L.Spivak b a The National Centre of Space
More informationUrban remote sensing: from local to global and back
Urban remote sensing: from local to global and back Paolo Gamba University of Pavia, Italy A few words about Pavia Historical University (1361) in a nice town slide 3 Geoscience and Remote Sensing Society
More informationEuroGEOSS Protected Areas Pilot
EuroGEOSS Protected Areas Pilot Max Craglia European Commission Joint Research Centre Part 1: the present MyNatura2000 Mobile app. Awareness raising & volunteered data collection. Natura2000 covers 18%
More informationGeo-spatial Statistics with Globalland30
UN International Workshop on Integrating Geospatial and Statistical Information Geo-spatial Statistics with Globalland30 Jun Chen 1,2 Lijun Chen 1, Ran Li 1 1 National Geomatics Center, China 2 International
More informationRemote Sensing Based Inversion of Gap Fraction for Determination of Leaf Area Index. Alemu Gonsamo 1 and Petri Pellikka 1
Remote Sensing Based Inversion of Gap Fraction for Determination of Leaf Area Index Alemu Gonsamo and Petri Pellikka Department of Geography, University of Helsinki, P.O. Box, FIN- Helsinki, Finland; +-()--;
More informationThe Influence of Historical and Projected Land Use and Land Cover Changes on Land Surface Hydrology and Regional Weather and Climate Variability
The Influence of Historical and Projected Land Use and Land Cover Changes on Land Surface Hydrology and Regional Weather and Climate Variability Research Hypothesis: Land use and land cover changes are
More informationLAND USE, LAND COVER AND SOIL SCIENCES - Vol. I - Land Use and Land Cover, Including their Classification - Duhamel C.
LAND USE AND LAND COVER, INCLUDING THEIR CLASSIFICATION Duhamel Landsis Groupement Européen d Intérêt Economique, Luxembourg Keywords: land cover, land use, classification systems, nomenclature, information
More informationA Facility for Producing Consistent Remotely Sensed Biophysical Data Products of Australia
TERRESTRIAL ECOSYSTEM RESEARCH NETWORK - AusCover - A Facility for Producing Consistent Remotely Sensed Biophysical Data Products of Australia June, 2011 Mervyn Lynch Professor of Remote Sensing Curtin
More informationCopernicus Overview. Major Emergency Management Conference Athlone 2017
Copernicus Overview Major Emergency Management Conference Athlone 2017 Copernicus is a European programme implemented by the European Commission. The services address six thematic areas: land, marine,
More informationAdvanced Image Analysis in Disaster Response
Advanced Image Analysis in Disaster Response Creating Geographic Knowledge Thomas Harris ITT The information contained in this document pertains to software products and services that are subject to the
More informationSeminar III Spring Semester (8 May 2015) Chuphan Chompuchan ( 蘇潘 ) Dept. of Soil and Water Conservation National Chung Hsing University
Seminar III Spring Semester (8 May 2015) Chuphan Chompuchan ( 蘇潘 ) 8101042007 Dept. of Soil and Water Conservation National Chung Hsing University Introduction Normalized Burn Ratio (NBR) Ground measurement:
More informationLand Monitoring Core Service Implementation Group (LMCS IG) - Results and Outlook
Land Monitoring Core Service Implementation Group (LMCS IG) - Results and Outlook Pr. Dietmar Grünreich, President of BKG, Germany Chairman of the GMES LMCS IG Outline 1 Introduction 2 Preparatory Projects
More informationISO Land Use 1990, 2000, 2010 Data Product Specifications. Revision: A
ISO 19131 Land Use 1990, 2000, 2010 Data Product Specifications Revision: A Contents 1 OVERVIEW... 3 1.1 Informal description... 3 1.2 Data product specifications Metadata... 3 1.3 Terms and Definitions...
More informationKNOWLEDGE-BASED CLASSIFICATION OF LAND COVER FOR THE QUALITY ASSESSEMENT OF GIS DATABASE. Israel -
KNOWLEDGE-BASED CLASSIFICATION OF LAND COVER FOR THE QUALITY ASSESSEMENT OF GIS DATABASE Ammatzia Peled a,*, Michael Gilichinsky b a University of Haifa, Department of Geography and Environmental Studies,
More informationCOMPARISON OF PIXEL-BASED AND OBJECT-BASED CLASSIFICATION METHODS FOR SEPARATION OF CROP PATTERNS
COMPARISON OF PIXEL-BASED AND OBJECT-BASED CLASSIFICATION METHODS FOR SEPARATION OF CROP PATTERNS Levent BAŞAYİĞİT, Rabia ERSAN Suleyman Demirel University, Agriculture Faculty, Soil Science and Plant
More information