Comparing global land-cover products – implications for geoscience applications: an investigation for the trans-boundary Mekong Basin

In this article we present the results of a comparison of six globally available land-cover products for the Mekong Basin – an area that spans 795,000 km2 and comprises parts of six riparian countries: China, Myanmar, Thailand, Laos, Cambodia, and Vietnam. The basin covers most climatic zones: from high-altitude, snow-covered mountainous regions in the north, to subtropical and tropical rainforest areas and agricultural land further south. The geopolitically important region not only is home to over 72,000,000 inhabitants, but also is a centre of attention of several environmental modelling experts, trying to assess future hydrologic dynamics, climate variability, as well probable land-use developments in the area. We compare land-cover products of the University of Maryland, UMD 1992–1993, the GLC 2000 product, the GlobCover products of 2004–2006 and 2009, as well as the MODIS-derived land-cover products of 2001 and 2009. For harmonization of individual legends, the Land Cover Classification System, LCCS, has been employed. However, even after harmonization, cross-tabulation among the products reveals extreme differences, where the impact of differing classification algorithms weighs higher than the impact of temporal coincidence of products. Especially, differences within mixed-vegetation classes are large, strongly impacting the overall assessment of forested land, other vegetated land, and even cultivated land in the Mekong Basin. The findings presented here are of high relevance for the modelling community as well as Mekong-related environmental studies, which should consider global remote-sensing-derived products with caution and solid background knowledge.

[1]  Francisco Javier García-Haro,et al.  Conventional and fuzzy comparisons of large scale land cover products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe , 2012 .

[2]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[3]  J. Baker,et al.  Evaluating the potential use of winter cover crops in corn–soybean systems for sustainable co-production of food and fuel , 2009 .

[4]  Stefan Dech,et al.  Land Cover Maps for Regional Climate Modeling in West Africa – a Comparison of Datasets , 2012 .

[5]  M. Hansen,et al.  A comparison of the IGBP DISCover and University of Maryland 1 km global land cover products , 2000 .

[6]  Guido Grosse,et al.  Land cover classification of tundra environments in the Arctic Lena Delta based on Landsat 7 ETM+ data and its application for upscaling of methane emissions , 2009 .

[7]  J. San-Miguel-Ayanz,et al.  A methodology to generate a synergetic land-cover map by fusion of different land-cover products , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[8]  Jay Gao,et al.  Determination of land degradation causes in Tongyu County, Northeast China via land cover change detection , 2010, Int. J. Appl. Earth Obs. Geoinformation.

[9]  William Salas,et al.  A multivariable approach for mapping sub-pixel land cover distributions using MISR and MODIS: Application in the Brazilian Amazon region , 2003 .

[10]  Chengquan Huang,et al.  Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges , 2012, Int. J. Digit. Earth.

[11]  N. Oppelt,et al.  Review of valuation methods for mangrove ecosystem services , 2012 .

[12]  S. Nilsson,et al.  A spatial comparison of four satellite derived 1 km global land cover datasets , 2006 .

[13]  Kung-Sik Chan,et al.  Quantifying the effect of land use land cover change on increasing discharge in the Upper Mississippi River , 2010 .

[14]  Brent N. Holben,et al.  Identifying deforestation in Brazil using multiresolution satellite data , 1986 .

[15]  Tao Peng,et al.  Effects of land use, land cover and rainfall regimes on the surface runoff and soil loss on karst slopes in southwest China , 2012 .

[16]  J. Poesen,et al.  Runoff generation in a degraded Andean ecosystem: Interaction of vegetation cover and land use , 2007 .

[17]  Tal Svoray,et al.  Assessing land-cover change and degradation in the Central Asian deserts using satellite image processing and geostatistical methods , 2008 .

[18]  Stein R. Moe,et al.  Land-use/cover dynamics in Northern Afar rangelands, Ethiopia , 2010 .

[19]  Franz Makeschin,et al.  A multi-criteria approach for an integrated land-cover-based assessment of ecosystem services provision to support landscape planning , 2012 .

[20]  Zhihua Shi,et al.  Impacts of land use change on watershed streamflow and sediment yield: An assessment using hydrologic modelling and partial least squares regression , 2013 .

[21]  Hankui K. Zhang,et al.  Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data , 2013 .

[22]  Christiane Schmullius,et al.  Comparative assessment of CORINE2000 and GLC2000: Spatial analysis of land cover data for Europe , 2007, Int. J. Appl. Earth Obs. Geoinformation.

[23]  Xinwu Li,et al.  Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses , 2013, Remote. Sens..

[24]  Ryosuke Shibasaki,et al.  Validation and comparison of 1 km global land cover products in China , 2008 .

[25]  Alan H. Strahler,et al.  Validation of the global land cover 2000 map , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Chengquan Huang,et al.  Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error , 2013, Int. J. Digit. Earth.

[27]  Stefan Dech,et al.  Understanding the impact of hydropower developments in the context of upstream–downstream relations in the Mekong river basin , 2013, Sustainability Science.

[28]  Lars T. Waser,et al.  Comparison of large-area land cover products with national forest inventories and CORINE land cover in the European Alps , 2006 .

[29]  Avijit Gupta.  Geology and landforms of the Mekong Basin , 2009 .

[30]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

[31]  Stefan Dech,et al.  Characterisation of land surface phenology and land cover based on moderate resolution satellite data in cloud prone areas — A novel product for the Mekong Basin , 2013 .

[32]  Stefan Dech,et al.  Derivation of biomass information for semi-arid areas using remote-sensing data , 2012 .

[33]  A. Belward,et al.  GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .

[34]  Douglas A. Miller,et al.  Aircraft and satellite remote sensing of desert soils and landscapes , 1987 .

[35]  Andrei P. Sokolov,et al.  Response of evapotranspiration and water availability to changing climate and land cover on the Mongolian Plateau during the 21st century , 2013 .

[36]  Steffen Fritz,et al.  Highlighting continued uncertainty in global land cover maps for the user community , 2011 .

[37]  Greg Brown.  The relationship between social values for ecosystem services and global land cover: An empirical analysis , 2013 .

[38]  C. C. Lautenbacher,et al.  The global earth observation system of systems (GEOSS) , 2005, 2005 IEEE International Symposium on Mass Storage Systems and Technology.

[39]  M. Friedl,et al.  Mapping global urban areas using MODIS 500-m data: new methods and datasets based on 'urban ecoregions'. , 2010 .

[40]  Stefan Dech,et al.  Theoretical Background of Thermal Infrared Remote Sensing , 2013 .

[41]  Claudia Künzer.  Field Note: Threatening Tonle Sap: Challenges for Southeast-Asia’s largest Freshwater Lake , 2013 .

[42]  I. C. Campbell.  The Mekong Biophysical Environment of an International River Basin , 2009 .

[43]  A. Henderson‐sellers,et al.  A global archive of land cover and soils data for use in general circulation climate models , 1985 .

[44]  Martin Herold,et al.  A joint initiative for harmonization and validation of land cover datasets , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[45]  S. Fritz,et al.  Comparison of global and regional land cover maps with statistical information for the agricultural domain in Africa , 2010 .

[46]  Lily House-Peters,et al.  Modeling the impact of land use and climate change on neighborhood-scale evaporation and nighttime cooling: A surface energy balance approach , 2011 .

[47]  Martin Jung,et al.  Exploiting synergies of global land cover products for carbon cycle modeling , 2006 .

[48]  C. Rojas,et al.  Assessing land-use and -cover changes in relation to geographic factors and urban planning in the metropolitan area of Concepción (Chile). Implications for biodiversity conservation , 2013 .

[49]  Scott N. Miller,et al.  Using the Soil and Water Assessment Tool (SWAT) to assess land use impact on water resources in an East African watershed , 2013 .

[50]  Stefan Dech,et al.  Sensitivity analysis for predicting continuous fields of tree-cover and fractional land-cover distributions in cloud-prone areas , 2014, Remote Sensing the Mekong.

[51]  Andrew K. Skidmore,et al.  Land use and land cover , 2002 .

[52]  R. Latifovic,et al.  Land cover mapping of North and Central America—Global Land Cover 2000 , 2004 .

[53]  G. Sterk,et al.  Drought vulnerability drives land-use and land cover changes in the Rift Valley dry lands of Ethiopia , 2013 .

[54]  Bicheron Patrice,et al.  GlobCover - Products Description and Validation Report , 2008 .

[55]  Armel Thibaut Kaptué Tchuenté,et al.  Comparison and relative quality assessment of the GLC2000, GLOBCOVER, MODIS and ECOCLIMAP land cover data sets at the African continental scale , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[56]  Claudia Kuenzer,et al.  The Mekong Delta System: Interdisciplinary Analyses of a River Delta , 2012 .

[57]  Martin Herold,et al.  Some challenges in global land cover mapping : An assessment of agreement and accuracy in existing 1 km datasets , 2008 .

[58]  Steffen Fritz,et al.  Global Earth Observation System of Systems (GEOSS) , 2014, Encyclopedia of Remote Sensing.

[59]  Marina Alberti,et al.  Carbon consequences of land cover change and expansion of urban lands: A case study in the Seattle metropolitan region , 2011 .

[60]  Frédéric Achard,et al.  GLOBCOVER : The most detailed portrait of Earth , 2008 .

[61]  Steffen Fritz,et al.  Comparison of land cover maps using fuzzy agreement , 2005, Int. J. Geogr. Inf. Sci..

[62]  G. Pardini,et al.  The role of land use-land cover on runoff generation and sediment yield at a microplot scale, in a small Mediterranean catchment , 2004 .

[63]  Piermaria Corona,et al.  VALUTAZIONE DELLE RISORSE FORESTALI A LIVELLO GLOBALE , 2013 .

[64]  Erkki Tomppo,et al.  A report to the food and agriculture organization of the united nations (FAO) in support of sampling study for National Forestry Resources Monitoring and Assessment (NAFORMA) in Tanzania , 2010 .

[65]  Roy Haines-Young,et al.  Land use and biodiversity relationships , 2009 .

[66]  G. Roberts,et al.  Thermal remote sensing of active vegetation fires and biomass burning events [Chapter 18] , 2013 .

[67]  X. Li,et al.  Partial least-squares regression for linking land-cover patterns to soil erosion and sediment yield in watersheds. , 2013 .

[68]  Chadwick D. Rittenhouse,et al.  Forest cover, carbon sequestration, and wildlife habitat: policy review and modeling of tradeoffs among land-use change scenarios , 2012 .

[69]  Xin Li,et al.  Evaluation of four remote sensing based land cover products over China , 2010 .

[70]  Ying Li,et al.  Development and application of a simulation model for changes in land-use patterns under drought scenarios , 2011, Comput. Geosci..

[71]  Shuguang Liu,et al.  A land-use and land-cover modeling strategy to support a national assessment of carbon stocks and fluxes , 2012 .

[72]  Kathleen Neumann,et al.  Challenges in using land use and land cover data for global change studies , 2011 .

[73]  Jinwei Dong,et al.  A comparison of forest cover maps in Mainland Southeast Asia from multiple sources: PALSAR, MERIS, MODIS and FRA , 2012 .

[74]  United Kingdom,et al.  GLOBAL FOREST RESOURCES ASSESSMENT 2005 , 2005 .

[75]  Arturo E. Hernandez,et al.  Generation and analysis of the 2005 land cover map for Mexico using 250m MODIS data , 2012 .