Improved alpine grassland mapping in the Tibetan Plateau with MODIS time series: a phenology perspective

The Tibetan Plateau is primarily composed of alpine grasslands. Spatial distributions of alpine grasses, however, are not well documented in this remote, highly uninhabited region. Taking advantage of the frequently observed moderate resolution imaging spectroradiometer (MODIS) images (500-m, 8-day) in 2010, this study extracted the phenological metrics of alpine grasses from the normalized difference vegetation index time series. With the Support Vector Machine, a multistep classification approach was developed to delineate alpine meadows, steppes, and desert grasses. The lakes, permanent snow, and barren/desert lands were also classified with a MODIS scene acquired in the peak growing season. With ground data collected in the field and aerial experiments in 2011, the overall accuracy reached 93% when alpine desert grasses and barren lands were not examined. In comparison with the recently published national vegetation map, the alpine grassland map in this study revealed smoother transition between alpine meadows and steppes, less alpine meadows in the southwest, and more barren/deserts in the high-cold Kunlun Mountain in the northeast. These variations better reflected climate control (e.g. precipitation) of different climatic divisions on alpine grasslands. The improved alpine grassland map could provide important base information about this cold region under the pressure of rapidly changing climate.

[1]  Jinwei Dong,et al.  Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011 , 2013, Proceedings of the National Academy of Sciences.

[2]  Zhengwei Yang,et al.  Phenology-Based Assessment of Perennial Energy Crops in North American Tallgrass Prairie , 2011 .

[3]  Lin Zhenyao,et al.  Spatial characteristics of changes in temperature and precipitation of the Qinghai-Xizang (Tibet) Plateau , 1996 .

[4]  Martin Brown,et al.  Support vector machines for optimal classification and spectral unmixing , 1999 .

[5]  S. Piao,et al.  Variations in Vegetation Net Primary Production in the Qinghai-Xizang Plateau, China, from 1982 to 1999 , 2006 .

[6]  Zheng Du,et al.  Spatial characteristic of vegetation change in the source regions of the Yangtze River,Yellow River and Lancang River in China , 2007 .

[7]  Stephen F. Ackley,et al.  Monitoring lake level changes on the Tibetan Plateau using ICESat altimetry data (2003-2009) , 2011 .

[8]  J. Townshend,et al.  Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers , 1998 .

[9]  Yanhong Wu,et al.  The response of lake-glacier variations to climate change in Nam Co Catchment, central Tibetan Plateau, during 1970–2000 , 2008 .

[10]  Yuan Zhang,et al.  Support vector machine approach to identifying buildings using multi-temporal ALOS/PALSAR data , 2011 .

[11]  Eike Luedeling,et al.  Winter and spring warming result in delayed spring phenology on the Tibetan Plateau , 2010, Proceedings of the National Academy of Sciences.

[12]  Xiong Liu,et al.  First Directly Retrieved Global Distribution of Tropospheric Column Ozone from GOME: Comparison with the GEOS-CHEM Model , 2006 .

[13]  Guo Zheng,et al.  Changes of grassland ecosystem due to degradation of permafrost frozen soil in the Qinghai-Tibet Plateau , 2007 .

[14]  C. Tucker,et al.  Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999 , 2001 .

[15]  L. Thompson,et al.  Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings , 2012 .

[16]  Zhi-Yong Yin,et al.  Temporal trends and variability of daily maximum and minimum, extreme temperature events, and growing season length over the eastern and central Tibetan Plateau during 1961-2003 , 2006 .

[17]  Yang-jian Zhang,et al.  Ecological and environmental issues faced by a developing Tibet. , 2012, Environmental science & technology.

[18]  Sung-chʿiao Chao,et al.  Geography of China : environment, resources, population, and development , 1996 .

[19]  Wang Li-hong,et al.  The study of typical glaciers and lakes fluctuations using remote sensing in Qinghai-Tibetan Plateau , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[20]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[21]  J. Ni,et al.  A Simulation of Biomes on the Tibetan Plateau and Their Responses to Global Climate Change , 2000 .

[22]  X. R. Wang,et al.  Light Emitting Diodes of Inverse Spin Valves , 2008, 0801.2246.

[23]  Danny R. Miller,et al.  The Tibetan Steppe. , 2005 .

[24]  Bin Wang,et al.  Tibetan Plateau warming and precipitation changes in East Asia , 2008 .

[25]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[26]  Per Jönsson,et al.  TIMESAT - a program for analyzing time-series of satellite sensor data , 2004, Comput. Geosci..

[27]  Andrew T. Smith,et al.  The plateau pika (Ochotona curzoniae) is a keystone species for biodiversity on the Tibetan plateau , 1999 .

[28]  Martijn Gough Climate change , 2009, Canadian Medical Association Journal.

[29]  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 .

[30]  Xingkui Xu,et al.  Spatiotemporal vegetation cover variations in the Qinghai-Tibet Plateau under global climate change , 2008 .

[31]  G. Henebry,et al.  Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan , 2004 .

[32]  Wang Yibo,et al.  Impacts of permafrost changes on alpine ecosystem in Qinghai-Tibet Plateau , 2006 .

[33]  Chandra Giri,et al.  A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets , 2005 .

[34]  E. Hunt,et al.  Phenology-assisted classification of C3 and C4 grasses in the U.S. Great Plains and their climate dependency with MODIS time series , 2013 .

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

[36]  S. Piao,et al.  Interannual variations of monthly and seasonal normalized difference vegetation index (NDVI) in China from 1982 to 1999 , 2003 .

[37]  Jing Li,et al.  Changes of alpine ecosystem along the ground temperature of permafrost in the source region of Datong River in the Northeastern Qinghai-Tibet Plateau , 2012 .

[38]  Hongjian Zhou,et al.  Detecting the impact of the "Grain for Green" program on the mean annual vegetation cover in the Shaanxi province, China using SPOT-VGT NDVI data , 2009 .

[39]  Zheng Du,et al.  The system of physico-geographical regions of the Qinghai-Xizang (Tibet) Plateau , 1996 .

[40]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[41]  Li Zhang,et al.  Assessing phenological change and climatic control of alpine grasslands in the Tibetan Plateau with MODIS time series , 2014, International Journal of Biometeorology.

[42]  D. H. S. Chang,et al.  The Vegetation Zonation of the Tibetan Plateau , 1981 .

[43]  Jiahua Zhang,et al.  Evaluation of Grassland Dynamics in the Northern-Tibet Plateau of China Using Remote Sensing and Climate Data , 2007, Sensors.

[44]  Xiao-dong Liu,et al.  Climatic warming in the Tibetan Plateau during recent decades , 2000 .

[45]  Limin Yang,et al.  Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data , 2000 .

[46]  Alan H. Strahler,et al.  Global land cover mapping from MODIS: algorithms and early results , 2002 .

[47]  G. Grabherr,et al.  Climate effects on mountain plants , 1994, Nature.

[48]  Rui Jin,et al.  Cryospheric change in China , 2008 .

[49]  Huadong Guo,et al.  Vegetation greenness trend (2000 to 2009) and the climate controls in the Qinghai-Tibetan Plateau , 2013 .