{"title":"Spectral Analysis of Different Degradation Level Alpine Meadows in 'Three-River Headwater' Region","authors":"Liu Jiyuan","doi":"10.3724/sp.j.1047.2012.00398","DOIUrl":null,"url":null,"abstract":"The 'Three-River Headwater' region at Qinghai Province is the source region of Yangtze River,Yellow River and Lancangjiang River.At here,grassland is the predominate ecosystem and alpine meadow is the main grassland type.In recent 30 years,large amount of grassland in this area suffered degradation,and therefore monitoring the alpine meadow degradation is important for grassland protection in the 'Three-River Headwater' region.The spectral characteristics of alpine meadow at different degradation levels are valuable information for alpine meadow classification and degradation monitoring through remote sensing.In this study,we measured the ground spectral data and surveyed grass samples in three sorts of alpine meadows at five degradation levels in August 2009 at the 'Three-River Headwaters' Region,Qinghai Province.Then we extracted and analyzed four characteristic values of the collected spectral data: the reflectance at 557675 and 760 nanometer and the red edge slopes.The result indicates that there are little differences among 557 nanometer's reflectance of the three sorts of alpine meadows at five degradation levels,but there are obvious differences among 675 nanometer's reflectance,760 nanometer's reflectance and the red edge slopes.We could distinguish the three sorts of alpine meadows at five degradation levels and make effective monitoring according to those differences.We also calculated the normalized differential vegetation index(NDVI) value of alpine meadow at five degradation levels based on their spectral data and related them with above ground biomass in this study.The result suggests that above ground biomass of alpine meadows at different degradation levels are well related to its 'red edge' slope and NDVI,with the determination coefficient of 0.93 and 0.87 respectively.Thus,these two parameters are useful for above ground biomass estimation based on remote sensing data.The 'red edge' slope of alpine meadows' reflectance not only could distinguish the three sorts of alpine meadows at five degradation levels effectively,but also has a better relationship with above ground biomass than NDVI value.Thus,'red edge' slope of alpine meadows' reflectance is essential for alpine meadows classification,degradation monitoring and biomass estimation.","PeriodicalId":67025,"journal":{"name":"地球信息科学学报","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"地球信息科学学报","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.3724/sp.j.1047.2012.00398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The 'Three-River Headwater' region at Qinghai Province is the source region of Yangtze River,Yellow River and Lancangjiang River.At here,grassland is the predominate ecosystem and alpine meadow is the main grassland type.In recent 30 years,large amount of grassland in this area suffered degradation,and therefore monitoring the alpine meadow degradation is important for grassland protection in the 'Three-River Headwater' region.The spectral characteristics of alpine meadow at different degradation levels are valuable information for alpine meadow classification and degradation monitoring through remote sensing.In this study,we measured the ground spectral data and surveyed grass samples in three sorts of alpine meadows at five degradation levels in August 2009 at the 'Three-River Headwaters' Region,Qinghai Province.Then we extracted and analyzed four characteristic values of the collected spectral data: the reflectance at 557675 and 760 nanometer and the red edge slopes.The result indicates that there are little differences among 557 nanometer's reflectance of the three sorts of alpine meadows at five degradation levels,but there are obvious differences among 675 nanometer's reflectance,760 nanometer's reflectance and the red edge slopes.We could distinguish the three sorts of alpine meadows at five degradation levels and make effective monitoring according to those differences.We also calculated the normalized differential vegetation index(NDVI) value of alpine meadow at five degradation levels based on their spectral data and related them with above ground biomass in this study.The result suggests that above ground biomass of alpine meadows at different degradation levels are well related to its 'red edge' slope and NDVI,with the determination coefficient of 0.93 and 0.87 respectively.Thus,these two parameters are useful for above ground biomass estimation based on remote sensing data.The 'red edge' slope of alpine meadows' reflectance not only could distinguish the three sorts of alpine meadows at five degradation levels effectively,but also has a better relationship with above ground biomass than NDVI value.Thus,'red edge' slope of alpine meadows' reflectance is essential for alpine meadows classification,degradation monitoring and biomass estimation.
期刊介绍:
Journal of Geo-Information Science is an academic journal under the supervision of Chinese Academy of Sciences, jointly sponsored by Institute of Geographic Sciences and Resources, Chinese Academy of Sciences and Chinese Geographical Society, and also co-sponsored by State Key Laboratory of Resource and Environmental Information System, Key Laboratory of Virtual Geographic Environment of Ministry of Education and Key Laboratory of 3D Information Acquisition and Application of Ministry of Education. Founded in 1996, it is openly circulated in the form of a monthly magazine.
Journal of Geoinformation Science focuses on publishing academic papers with geographic system information flow as the main research object, covering research topics such as geographic information cognitive theory, geospatial big data mining, geospatial intelligent analysis, etc., and pays special attention to the innovative results of theoretical methods in geoinformation science. The journal is aimed at scientific researchers, engineers and decision makers in the fields of cartography and GIS, remote sensing science, surveying and mapping science and technology. It is a core journal of China Science Citation Database (CSCD), a core journal of Chinese science and technology, a national Chinese core journal in domestic and international databases, and it is included in international databases, such as EI Compendex, Geobase, and Scopus.