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| 1 | Changes in global potential vegetation distributions from 1911 to 2000 as simulated by the Comprehensive Sequential Classification System approach显示文摘Vegetation classification models play an important role in studying the response of the terrestrial ecosystem to global climate change. In this paper, we study changes in global Potential Natural Vegetation (PNV) distributions using the Comprehensive Sequential Classification System (CSCS) approach, a technique that combines geographic information systems. Results indicate that on a global scale there are good agreements among maps produced by the CSCS method and the globally well-accepted Holdridge Life Zone (HLZ) and BIOME4 PNV models. The potential vegetation simulated by the CSCS approach has 6 major latitudinal zones in the northern hemisphere and 2 in the southern hemisphere. In mountainous areas it has obvious altitudinal distribution characteristics due to topographic effects. The distribution extent for different PNV classes at various periods has different characteristics. It had a decreasing trend for the tundra and alpine steppe, desert, sub-tropical forest and tropical forest categories, and an increasing trend for the temperate forest and grassland vegetation categories. The simulation of global CSCS-based PNV classes helps to understand climate-vegetation relationships and reveals the dynamics of potential vegetation distributions induced by global changes. Compared with existing statistical and equilibrium models, the CSCS approach provides similar mapping results for global PNV and has the advantage of improved simulation of grassland classes. | LIANG TianGang FENG QiSheng CAO JianJun XIE HongJie LIN HuiLong ZHAO Jun REN JiZhou | 2012 | Chinese Science Bulletin2012，57，11： | 23 |
| 2 | A new MODIS daily cloud free snow cover mapping algorithm on the Tibetan Plateau显示文摘Because of similar reflective characteristics of snow and cloud,the weather status seriously affects snow monitoring using optical remote sensing data.Cloud amount analysis during 2010 to 2011 snow seasons shows that cloud cover is the major limitation for snow cover monitoring using MOD10A1 and MYD10A1.By use of MODIS daily snow cover products and AMSR-E snow water equivalent products(SWE),several cloud elimination methods were integrated to produce a new daily cloud free snow cover product,and information of snow depth from 85 climate stations in Tibetan Plateau area(TP)were used to validate the accuracy of the new composite snow cover product.The results indicate that snow classification accuracy of the new daily snow cover product reaches 91.7% when snow depth is over 3 cm.This suggests that the new daily snow cover mapping algorithm is suitable for monitoring snow cover dynamic changes in TP. | XiaoDong Huang XiaoHua Hao QiSheng Feng Wei Wang TianGang Liang | 2014 | Research in Cold and Arid Regions2014，6，2： | 7 |
| 3 | A CLASSIFICATION INDICES-BASED MODEL FOR NET PRIMARY PRODUCTIVITY (NPP) AND POTENTIAL PRODUCTIVITY OF VEGETATION IN CHINA显示文摘 | HUILONG BIN JUN ZHAO TIANGANG LIANG ZHENQING LI | 2012 | International Journal of Biomathematics2012，5，3： | 6 |
| 4 | A novel solution for outlier removal of ICESat altimetry data: a case study in the Yili watershed, China显示文摘由于云和浸透的波形的影响, ICESat 数据包含不能直接在检验表面举起和变化被使用的许多污染举起数据。这研究为移开坏数据并且由从 ICESata 直接使用反射率,浸透,和获得的阀值值为陆地应用程序得到干净 ICESat 数据提供一个新奇解决方案[欧元](TM ) s GLAS (地球科学激光 Alteimeter 系统) 01, 05,和 06 个产品。每个激光运动需要不同阀值作文向合格 ICESat 保证数据和那坏数据移动评价,这被发现为在 Yili 分水岭的测试区域的从 9.6% 的范围(激光 2A ) 到 62.3% ,中国。这些阀值将可能在另外的区域被使用为陆地应用提取合格 ICESat 脚印。然而,它被推荐到步这里建议进一步为不同举起和气候政体的另外的区域检验阀值价值的可转移性的使用。作为一个例子,产生 ICESat 数据被使用在学习区域检验二个湖的湖水平变化[出版摘要] | Xiaodong HUANG Hongjie XIE Guoqing ZHANG Tiangang LIANG | 2013 | Frontiers of Earth Science2013，7，2： | 3 |
| 5 | Toward improved daily snow cover mapping with advanced combination of MODIS and AMSR-E measurements显示文摘 | Tiangang Liang Xuetong Zhang Hongjie Xie Caixia Wu Qisheng Feng Xiaodong Huang Quangong Chen | 2008 | Remote Sensing of Environment2008，，10： | 2 |
| 6 | An Application of MODIS Data to Snow Cover Monitoring in a Pastoral Area: A Case Study in Northern Xinjiang, China显示文摘 | Liang Tiangang H uang Xiaodong Wu Caixia et a l | 2008 | Remote Sensing of Environment2008，112，： | 1 |
| 7 | Evaluation of MODIS Snow Cover and Cloud Mask and Its Application in Northern Xinjiang, China 显示文摘 | Wang Xianwei Xie Hongjie Liang Tiangang | 2008 | Remote Sensing of Environment2008，112，： | 1 |
| 8 | The urgent need to develop a new grassland map in China:based on the consistency and accuracy of ten land cover products显示文摘Grasslands are the most dominant terrestrial ecosystem in China, but few national grassland maps have been generated. The grassland resource map produced in the 1980s is widely used as background data, but it has not been updated for almost 40 years.Therefore, a reliable map depicting the current spatial distribution of grasslands across the country is urgently needed. In this study, we evaluated the grassland consistency and accuracy of ten land cover datasets(GLC2000, GlobCover, CCI-LC,MCD12Q1, CLUD, GlobeLand30, GLC-FCS30, CGLS-LC100, CLCD, and FROM-GLC) for 2000, 2010, and 2020 based on extensive fieldwork. We concluded that the area of these ten grassland products ranges from 107.80×10^(4)to 332.46×10^(4)km^(2), with CLCD and MCD12Q1 having the highest area consistency. The spatial and sample consistency is highest in the regions of eastcentral Inner Mongolia, the Qinghai-Tibet Plateau and northern Xinjiang, while the distribution of southern grasslands is scattered and differs considerably among the ten products. MCD12Q1 is significantly more accurate than the other nine products,with an overall accuracy(OA) reaching 77.51% and a kappa coefficient of 0.51;CLCD is slightly less accurate than MCD12Q1(OA=73.02%, kappa coefficient=0.45) and is more conducive to the fine monitoring and management of grassland because of its30-meter resolution. The highest accuracy of grassland was found in the Inner Mongolia-Ningxia region and Qinghai-Tibet Plateau, while the accuracy was worst in the southeastern region. In the future grassland mapping, cartographers should improve the accuracy of the grassland distribution in South China and regions where grassland is confused with forest, cropland and bare land. We specify the availability of valuable data in existing land cover datasets for China’s grasslands and call for researchers and the government to actively produce a new generation of grassland maps. | Mengjing Hou Jing Ge Yangjing Xiu Baoping Meng Jie Liu Qisheng Feng Tiangang Liang | 2023 | Science China(Life Sciences)2023，66，2： | 1 |
| 9 | Evaluation of MODIS snow cover and cloud mask and its application in Northern Xinjiang, China显示文摘 | Wang Xianwei Xie Hongjie Liang Tiangang | 2008 | Remote Sensing of Environment2008，112，4： | 1 |
| 10 | Toward improved daily snow cover mapping with advanced combination of MODIS and AMSR-E measurements显示文摘 | Liang Tiangang Zhang Xuetong Xie Hongjie | 2008 | Remote Sensing of Environment2008，112，： | 1 |
| 11 | An application of MODIS data to snow cover monitoring in a pastoral area: A ease study in Northern Xinjiang, China显示文摘 | Liang Tiangang Huang Xiaodong Wu Caixia etal | 2008 | Remote Sensing of Environment2008，112，： | 1 |
| 12 | Evaluation of MODIS snow cover and cloud mask and its application in North-ern Xinjiang, China 显示文摘 | Wang Xianwei Xie Hongjie Liang Tiangang | 2008 | Remote Sensing of Environment2008，112，4： | 1 |
| 13 | Characteristics of global potential natural vegetation distribution from 1911 to 2000 based on comprehensive sequential classification system approach显示文摘 | Qisheng Feng Tiangang Liang Xiaodong Huang Huilong Lin Hongjie Xie Jizhou Ren | 2013 | Grassl Sci2013，，2： | 1 |
| 14 | Classification man -agement for Gansu grassland resources, China 显示文摘 | GUO ZHENGGANG LIANG TIANGANG ZHANG ZIHE | | New Zealand Journal of Agrieultural Research0，46，： | 1 |
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