Land cover mapping of Asia ， Central Asia, and Middle East for GLC2000 project Ryutaro Tateishi, Hiroshi Sato, and Zhu Lin Center for Environmental Remote.

Slides:

Advertisements

Similar presentations

GLC 2000 – “FIRST RESULTS” WORKSHOP JRC – Ispra, March 2002 GLC 2000 – South America map Presented by H.Eva E. E. de Miranda C. di Bella V. Gond.

Advertisements

Improving Classification Accuracy Using Knowledge Based Approach Ali A. Alesheikh A. Talebzadeh F. Sadeghi Naeeni.

Has EO found its customers? Global Vegetation Monitoring Unit GLC2000 GLOBAL LEGEND GLC 2000 – “FIRST RESULTS” WORKSHOP JRC – Ispra, March 2002.

Global Vegetation Monitoring Unit GLC 2000 Project Partners in Asia & Oceania GLC 2000 – “FIRST RESULTS” WORKSHOP JRC – Ispra, March 2002.

A Land Cover Map of Eurasia’s Boreal Ecosystems S. BARTALEV, A. S. BELWARD Institute for Environment and Sustainability, EC Joint Research Centre, Italy.

U.S. Department of the Interior U.S. Geological Survey USGS/EROS Data Center Global Land Cover Project – Experiences and Research Interests GLC2000-JRC.

GLC 2000 ‘Final Results’ Workshop (JRC-Ispra, 24 ~ 26 March, 2003) GLC 2000 ‘Final Results’ Workshop (JRC-Ispra, 24 ~ 26 March, 2003) LAND COVER MAP OF.

LAND COVER MAPPING OVER France USING S1-S10 VEGETATION DATASET J-L CHAMPEAUX, S. GARRIGUES METEO-FRANCE GLC 2000 – “FIRST RESULTS” WORKSHOP JRC – Ispra,

Production of land cover map of Asia, Central Asia, and Middle East with emphasis of the development of ground truth database Ryutaro Tateishi, Hiroshi.

Global Land Cover 2000 China Window. Data preparation climatic stratification of China VGT data’s preparation remove the cloud contamination synthesizing.

NLCD and MODIS Landuse Processing Tools and Projection Issues in Modeling Limei Ran and Alison Eyth Center for Environmental Modeling for Policy Development.

Remote Sensing II autumn spring 2008 "The practice of computer-aided interpretation of satellite images.“ Markus Törmä

Equator Tropic of Cancer AFRICA ASIA Latitudes near the North Pole NORTH AMERICA We will examine a set of images and maps produced by NASA (vegetation.

ENVIRONMENTAL LAYERS MEETING IPLANT TUCSON Roundup Benoit Parmentier.

Proposal of the Global Land Cover Ground Truth(GLCGT) Database Ryutaro Tateishi Center for Environmental Remote Sensing (CEReS), Chiba University, Japan.

DETERMINING LAND DEVELOPMENT EFFECT ON SURFACE RUNOFF USING GIS.

Sistema de Monitoreo de la Cobertura del Suelo de América del Norte.

Has EO found its customers? Global Vegetation Monitoring Unit GLC2000 Land Cover Classification.

Time series – spatial information ESPON workshop, 6 th May 2010 Oscar Gomez, EEA.

Global Vegetation Monitoring Unit 1 Towards a global Land Cover 2000 product: the preliminary version of the global product and how it can be improved.

Global Land Cover: Approaches to Validation Alan Strahler GLC2000 Meeting JRC Ispra 3/02.

The use of Remote Sensing in Land Cover Mapping and Change Detection in Somalia Simon Mumuli Oduori, Ronald Vargas Rojas, Ambrose Oroda and Christian Omuto.

GLC 2000 First Result Workshop March 2002 Spectral separability of Land cover classes in Southern Africa. An application of LCCS. Ana Cabral 1, Maria.

Overview Minimum required classifiers for mapping vegetation cover at global scale using the FAO-LCCS tool GLC LEGEND hjs/30-Apr-01.

Land Cover Classification System Class A Liaison Seminar of ISO TC 211 LCCS : An Approach to the Global Harmonisation of Land Cover John S. Latham and.

Joint Research Centre GLC2000 First Results Workshop Ispra 18 th to 22 nd March 2002 Project overview.

Has EO found its customers? 1 Space Applications Institute Directorate General Joint Research Centre European Commission Ispra (VA), Italy

Definition Land cover is the observed (bio)physical cover on the earth’s surface on the earth’s surface. It includes vegetation and man-made features as.

GLC Baltic Sea Basin Metria Indata: SPOT VGT 10-day composites from to and several SPOT VGT S- 1 composite data for June and.

Methods of Validating Maps of Deforestation and Selective Logging Carlos Souza Jr. Instituto do Homem e Meio Ambiente da Amazônia—Imazon.

BlackBridge | Earth Science Conference 2014 – USA Earth Science Conference 2014 – San Francisco - USA MASS PROCESSING.

Land_Cover_CCI – CMUG Co-location Meeting, Reading, March 2011 Land Cover_CCI Pierre Defourny et al. Univ.cath. de Louvain.

EROS Data Center 1.br.ini. 5/11/95 GLC-2000 North America: Classification and Results Validation Chandra Giri SAIC, EROS Data Center Zhiliang Zhu USGS,

National Mapping Division EROS Data Center U. S. Geological Survey U.S. Geological Survey Earth Resources Operation Systems (EROS) Data Center World Data.

Optimal use of new satellite resources. Research funded by NERC/CEH and JNCC. Rapid Land Cover Mapping.

Lu Liang, Peng Gong Department of Environmental Science, Policy and Management, University of California, Berkeley And Center for Earth System Science,

Has EO found its customers? Results of GLC2000 Legend Workshop November 2000 JRC / Ispra.

IMPROVEMENT OF EWS BY LAND COVER DATA – Giancarlo Pini – IBIMET-CNR Giancarlo Pini Institute of BioMeteorology (IBIMET) - National Research Council (CNR)

ANDERSON (1976) Land use and land cover classification system for use with remote sensor data Level I Level II 1 Urban or Built-up Land 11 Residential.

Crop Mapping in Stanislaus County using GIS and Remote Sensing Ramesh Gautam, Jean Woods, Simon Eching, Mohammad Mostafavi Land Use Section, Division of.

Land Cover Characterization Program National Mapping Division EROS Data CenterU. S. Geological Survey The National Land Cover Dataset of the Multi- Resolution.

Remote Sensing Classification Accuracy

Assessing the Phenological Suitability of Global Landsat Data Sets for Forest Change Analysis The Global Land Cover Facility What does.

The application of Remote Sensing and GIS for forest cover monitoring. 学生：阿玛娜导师：刘耀林教授学号：学号：专业：地图学与地理信息系统单位：资源与环境科学学院.

Test of forest classification over Bavaria (Germany) using a SPOT-VGT pixel mosaic Erwann FILLOL, Pamela KENNEDY, Sten FOLVING.

Roger Sayre, PhD Senior Scientist for Ecosystems Land Change Science Program U.S. Geological Survey and GEO Task Lead GI-14 Commonalities in Global Land.

Remote sensing survey Distribution of forests Trend statistics.

GLC 2000 – “FIRST RESULTS” WORKSHOP JRC – Ispra, March 2002 GLC 2000 land cover map of the desert locust recession area First results E. Bartholomé,

GLC 2000 Workshop March 2003 Land cover map of southern hemisphere Africa using SPOT-4 VEGETATION data Ana Cabral 1, Maria J.P. de Vasconcelos 1,2,

Updated Cover Type Map of Cloquet Forestry Center For Continuous Forest Inventory.

1 Estimation of Diffused pollution loads declination by purchasing Land of Riparian buffer zone assigned to Dae-cheong water resource area using Remote.

APPLIED REMOTE SENSING TECHNOLOGY TO ANALYZE THE LAND COVER/LAND USE CHANGE AT TISZA LAKE By Yudhi Gunawan * and Tamás János ** * Department of Land Use.

UNCEEA NYC June 2009 Land Cover and Land Use Classifications in the SEEA Revision Xiaoning Gong (FAO) & Jean-Louis Weber (EEA) Fourth Meeting of.

Detecting Land Cover Land Use Change in Las Vegas Sarah Belcher & Grant Cooper December 8, 2014.

Gofamodimo Mashame*,a, Felicia Akinyemia

26. Classification Accuracy Assessment

HIERARCHICAL CLASSIFICATION OF DIFFERENT CROPS USING

Paraguay Landscape Analysis

By Yudhi Gunawan * and Tamás János **

Evaluating Land-Use Classification Methodology Using Landsat Imagery

GLC-2000-Continental Southeast Asia

Point 3.1 of the agenda From the pilot phase to the new LUCAS

Limei Ran and Alison Eyth

Supervised Classification

NASA Images & MAPS We will examine a set of images and maps produced by NASA (vegetation images, land cover and population maps) and we will look for connections.

Paraguay Landscape Analysis

Land Cover and Land Use Statistics

Remote Sensing Landscape Changes Before and After King Fire 2014

LUCAS long term perspective

The Land Cover Map of Northern Eurasia method, product and initial users' feedback Global Land Cover 2000 S. Bartalev, A. Belward EC JRC, Italy D.

Presentation transcript:

Land cover mapping of Asia ， Central Asia, and Middle East for GLC2000 project Ryutaro Tateishi, Hiroshi Sato, and Zhu Lin Center for Environmental Remote Sensing (CEReS), Chiba University Japan GLC 2000 – “FIRST RESULTS” WORKSHOP JRC – Ispra, March 2002

Area Coverage Asia 5-57 North lat East long. Central Asia North lat East long. Middle East North lat East long. Used data VEGETATION S-10 NDVI data sets

Legend Based on “The GLC2000 global legend Version 1.0” by H.J.Stibig Ground truth Totally 86 small regions were selected as ground truth sites. (43 sites for Asia, 30 sites for Central Asia, and 13 sites for Middle East) Number of land cover classes of ground truth is classes are from Stibig’s “The GLC2000 global legend Version 1.0”, and 3 additional classes. Classification Maximum Likelihood method for monthly NDVI except December

Land cover classes in the classified result recorded code, LCC code, and land cover paddy artificial surface cultivated area needle leaved evergreen forest needle leaved deciduous forest broadleaved deciduous forest sparse shrubs herbaceous aparse vegetation /20454herbaceous closed vegetation /20458herbaceous vegetation with shrubs /40406wetland

Land cover classes in the classified result (continued) bare rock unconsolidated materials bare soil loose sands natural water body snow (additional class with LCC formula) 207 -pasture & crop A5XXB5C1D1D9-S corn & bean A5XXB5C2-S0305S paddy & corn A4XXB5C2-S0308S0305

Global Land Cover Ground Truth database (GLCGT database) The GLCGT database consists of regional land cover ground truth (RLCGT) data. The geographical size of a RLCGT data is flexible, from a city size to a continental size. --- metadata of RLCGT data (text) --- GT land cover code data (raster) --- GT site code data (raster) --- description of GT sites (text) --- optional data (text, raster, or any)

Classified image of Asia

Classified image of Central Asia (Kazakhstan)

Classified image of Middle East

Accuracy assessment Accuracy assessment has done together in Asia, Central Asia, and Middle East. Training sample data were divided into two groups, group A and group B, for accuracy assessment. Accuracy training data validation data accuracy all GT (A+B) all GT (A+B) 99% GT A GT B 59% GT B GT A 42%

Conclusions -Asia, Central Asia and Middle East were classified to 20 land cover types by Maximum Likelihood method of monthly (except December) NDVI. -Though one type of land cover may include different data characteristics in different regions, enough GT data from different regions results in better accuracy. - The trial of this classification suggests more GT data must be collected.

- Proposal: collect ground truth data based on “GLCGT database” concept among GLC2000 participants