Geo-spatial Statistics with Globalland30

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1 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 Society of Photogrammetry and Remote Sensing (ISPRS) June 9, 2014, Beijing

2 Contents 1. 43rd W-E Day s News 2. Data and methodology 3. Preliminary results 4. Discussion and Outlook

3 43 rd World Environment Day (June 5th 2014, 世界环境日 ) A Press release on Global Ecological Environment Remote Sensing Monitoring Annual Report 2013

4 Global Ecological Environment RS Monitoring Annual Report 2013 Urban and rural construction land distribution between 2000 and 2010 Terrestrial vegetation growth status Large land surface water area distribution Bulk grain and oil crops production situation

5 Urban and Rural Construction land distribution between 2000 and 2010 English Briefing Chinese English Version

6 Some Highlights The total area of the global urban and rural construction land in 2010 is Million km2, which covers 0.88% of the total area of the global land surface! From , total increase is 57,400km2 with the variation rate of 5.08%. Asia has the highest Increase propotion, 43.55%, and Africa has14.81% USA and China are the largest and 2nd countries with respectively

7 Globalland30 -First 30m Global Land Cover Data Set 2010

8 Contents 1. 43rd W-E Day s News 2. Data and methodology 3. Preliminary results 4. Discussion and Outlook

9 Geo-Spatial Data as Fundamental Ones Land Cover Land Cover Land Parcels & Property Transport Serving as authoritative and reliable spatial framework for socioeconomic and other data Elevation & Depth Geocoded Addressing Administrative Boundaries Imagery Place Names Providing critical knowledge about spatial distribution and temporal changes of our planet and environment

10 Biodiversity Impacts Urban Global Land Cover/Weather 2.1 Land Cover and Change Information Tools/Services Agriculture Health Pollution Disasters Data Specific to Global Water/Ocean Water Natural attributes /characteristics of a variety of material types covering the surface of the globe Climate Adaptation Forest Carbon Carbon Energy Requested by all the nine SBAs as identified by GEO Ecosystem/Biodiversity [GEO,2013]

11 Land Cover Data Products Level Global Data Products Spatial Resolution Temporal Resolution USGS 1km One year UMD 1km One year BU 1km One year GLC2000 1km One year GLC m One year Coarse spatial and temporal resolution Low spatial accuracy Regional EU- Corine 1:100,000/ 100m National USGS China Spain 30m 30m and consistency

12 Land Cover Data Products Level Data Products Spatial Resolution Temporal Resolution Global USGS 1km One year UMD 1km One year BU 1km One year GLC2000 1km One year GLC m One year GlobalLand30 30m 2000/2010 Regional EU- Corine 1:100,000/ 100m National USGS GlobalLand30 30m 2000/2010 China Spain 30m 30m Fine resolution Two-time series Higher accuracy

13 Globalland Classes Open Water, Wetland, Artificial Cover, Cropland, Forest, Shrubland, Grassland, Bare Land, Tundra, Perm.snow & Glac

14 Data Validation by international Colleagues Summary of Overall Disagreement - Population only CORINE 1.97 Peng Gong All Peng Gong Minus Cloud etc MODIS Own Validation 0.17 MODIS Geo-Wiki Validation GLC-2000 Own Validation 0.21 GLC-2000 Geo-Wiki Validation GlobCover Own Validation 0.21 GlobCover Geo-Wiki Validation GLC Chen Jun Geo-Wiki No Mixed GLC Chen Jun Geo-Wiki No Mixed + High Confidence GLC Chen Jun Geo-Wiki All + Mixed Pixels KTH, Sweden, (Prof. Yifang Ban) : closer to CORINE Greece (Ioannis Manakos, Centre for R& Techn. Hellas,CERTH): 87% CAS (Chuang Liu): 85% USGS (Zhiliang Zhu) Italy (Maria Antonia Brovelli)

15 Preliminary Validation by 3rd Parties Overall Accuracy Three research institutes from China; Total samples: 139 map sheets (16%), free-collect sample points in each sheet 2010 Accuracy: 83.11%±0.18% 2000 Accuracy 75.33%±0.2%

16 Globalland30 s Applications Globalland30 Global Maps Geospatial statistics Value-added applications Sustainability development Environmental change analysis.

17 2.2 Integrating GLC and Census Data Globe Continent Country Economic Community City Group GlobalLand30 artificial layer 2000 year 2010 year Statistics Administr. units Longitudelatitude grid Climatic Zone Elevation tiers Global pattern and change Integrated analysis Population per area Area Per capita GDP Per Area Continental pattern and change Change analysis Change rate Increase Proportion S Sources of Increasing Comparative diffrences results Census Data Population GDP Reference data Administarive boundary Global DEM Ecological Zones

18 Work Flow for Global Geo-spatial Computing and Analysis Spatial data -Spherical projection -Map sheets boundary area conciliation - Density computing - Statistics Unit - Adminis. Units i - Climate Zone -Ecological zone -Longitude/ latitude Grid -Kilom. Grid Statistics indicators - Area -density -Proportion --Area per capita -GDP per Area Projection area Error Correction -projection area difference correction factor Source data processing Statistical computing Calibration of statistics result Statistics data - Data interpolation - Aggregation with administr. Units - Grid density distribut. - - OO Processing of Statistics Unit -Topology calculation -Coordinates transform Geometric refine. of Statistics zone - Differential arcs/line instead of curve - Mask processing Pixel rounding error correction - Multi-level statistics unit closure

19 Contents 1. 43rd W-E Day s News 2. Data and methodology 3. Preliminary results 4. Discussion and Outlook

20 3.1 Urban and Rural Construction Land Distribution in Change Increased Region Area Area Area Proportion 1,000 km 2 (%) 1,000 km 2 % % 1,000 km2 (%) Global 1, , Asia Europe Africa N. American S. American Oceania Total area of the global urban and rural land in 2010 is Million km 2, which covers 0.88% of the total area of the global land surface Asia, Europe and North America, accounts for 86.83% of that of the global total.

21 Urban and Rural Land Cover in Global Spatial Distribution The total area in the Northern Hemisphere accounts for 90.69% of the global total 82.28% locates between 20 ~ 60 north latitude. distributes mainly on the east and the west coasts of continents Higher concentration in the east coast of North America, and the west and east coast of the Eurasia.

22 Urban and Rural Construction Land -Top Ten Countries, 2010 Area in Area in Variatio Increase Country/ n Rate Proportion Region (10,000 (10,000 (%) (%) km2) km2) China U.S.A Russia Mexico India Brazil Japan France Germany USA and China are the largest and 2nd countries These 10 countries accounts for 61.26% of that of the global total. Ukraine <0.01 <0.01

23 Asia About 414,100 km2 in 2010, accounting for 34.87% of the world, first in all continents, and uneven distribution of space. Mainly distributed in the coastal zone in the east Asia, the Indian Ocean near the bay of Bengal and around the Caspian sea and Lake Issyk-Kul.

24 Africa About 78,200 km2 in 2010, accounting for 6.59% of the world. Suthern African region is the largest in urban and rural resident land in Africa, accounting for 33.09% of Africa total Eastern Africa only accounts for 8.20%.

25 Region 3.2 Change between Area 1,000 km Change Increase (%) Area 1,000 km 2 % Area 1,000 km 2 % Proportion (%) Global 1, Asia Europe Africa N. American S. American Oceania Total increase: 57,400km2 with the variation rate of 5.08%. Change rate: Africa has highest 12.20%, Asia has 6.43% Increase propotion: Asia is highest %, Africa 14.81%

26 Change of the Ten Countries ( ) Country/ Region Area in 2000 (10,000 km2) Area in 2010 (10,000 km2) Variation Rate (%) Increase Proportion (%) China U.S.A Russia Mexico India Brazil Japan France Germany Ukraine <0.01 <0.01 China experienced the rapidly change in 11.17% and made the contribution 28.17% to that of the world Germany and Ukraine remains very little change China and USA account for almost half of the global total

27 3.3 Sources for Increased Urban and Rural Resident Land in Each Continent Asia Europe Africa North America South America Oceania Global Arable land Area(km 2 ) Proportion (%) Forest land Area(km 2 ) Proportion (%) Grassland Area(km 2 ) Proportion (%) Shrub Area(km 2 ) Proportion (%) Wet land Area(km 2 ) Proportion (%) Waters Area(km 2 ) Proportion (%) Bare land Area(km 2 ) Proportion (%) Sub-total Area(km 2 ) Proportion (%)

28 3.4 Utilization Efficiency Analysis Country Population density (persons/km 2 ) Variation rate (%) Per capita land area (m 2 /person) Variation rate (%) GDP/ km 2 (US$ mn/km 2 ) Variation rate (%) Global G BRICs EU CELAC UNASUR S. Asia African Union ASEAN Arab League Northeast Asia

29 Utilization Efficiency- Change Country Population density (persons/km 2 ) Variation rate (%) Per capita land area (m 2 /person) Variation rate (%) GDP/ km 2 (US$ mn/km 2 ) Variation rate (%) Global G BRICs EU CELAC UNASUR S. Asia African Union ASEAN Arab League Northeast Asia

30 Area Per Capita (m2/ Person) Utilization Efficiency Three Different Country Groups Differences the under developing countries, developing countries and industry countries are very obviously GDP in industry countries generally higher than US$60mn/km2, while lower than US$35mn/km2 in under developing countries Area per capita was five times more than that in under developing countries. GDP Per area (mn US$ /km2)

31 Contents 1. 43rd W-E Day s News 2. Data and methodology 3. Preliminary results 4. Discussion and Outlook

32 4.1 Discussion Globalland30 allows us to perform a global analysis about our planet and its change. A cross-disciplinary collaboration is needed to have indepth analysis! 30 m is good, but not enough! More detailed resolution will be needed for further smaller area analysis!

33 4.2 Outlook Sustainable Development Global geo-spatial information Globalland30 Validation and Refinement Geospatial statistics Value-added applications Distributed and Collaborative Inform. Service UN-GGIM Members and POs

34 Thanks Geo-spatial Statistics with GlobalLand30! Chinese English:

35 30-m resolution

36 30m 1km

37 30m 300m

38 Cropland in Hilly area (Tyrol, Italy in 2010) on both sides of the river canyon (46.959N, E)

39 Cropland in Arid Region (Koulikoro, Mali in 2000) Coordinate: N, 8.707W 30m permits detection of land change at the scale of most human activity [Loveland, 2010]

40 Artificial Cover Change-Beijing 北京 About 38%

41 Artificial Cover Change- Hefei Almost 100%

42 Artificial Cover Change- New Deli 新德里

43 Urban and Rural Construction land Density Map

44 Urban and Rural Construction land -Asia

45 Urban and Rural Construction land - Europe

46 Urban and Rural Construction land - North America

47 Urban and Rural Construction land - South America

48 Urban and Rural Construction land - Africa

49 Urban and Rural Construction land - Oceania

50 Urban and Rural Construction land China, 2010

51 Urban and Rural Construction land

52 Urban and Rural Construction land

53 Urban and Rural Construction land

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