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Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data
Li, Among1,2; Huang, Chengquan1; Sun, Guoqing1; Shi, Hua3; Toney, Chris4; Zhu, Zhiliang5; Rollins, Matthew G.6; Goward, Samuel N.1; Masek, Jeffrey G.7
Corresponding AuthorHuang, CQ
2011
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
EISSN1879-0704
Volume115Issue:8Pages:1837-1849
SubtypeArticle
AbstractMany forestry and earth science applications require spatially detailed forest height data sets. Among the various remote sensing technologies, lidar offers the most potential for obtaining reliable height measurement. However, existing and planned spaceborne lidar systems do not have the capability to produce spatially contiguous, fine resolution forest height maps over large areas. This paper describes a Landsat-lidar fusion approach for modeling the height of young forests by integrating historical Landsat observations with lidar data acquired by the Geoscience Laser Altimeter System (GLAS) instrument onboard the Ice, Cloud, and land Elevation (ICESat) satellite. In this approach, "young" forests refer to forests reestablished following recent disturbances mapped using Landsat time-series stacks (LTSS) and a vegetation change tracker (VCT) algorithm. The GLAS lidar data is used to retrieve forest height at sample locations represented by the footprints of the lidar data. These samples are used to establish relationships between lidar-based forest height measurements and LTSS-VCT disturbance products. The height of "young" forest is then mapped based on the derived relationships and the LTSS-VCT disturbance products. This approach was developed and tested over the state of Mississippi. Of the various models evaluated, a regression tree model predicting forest height from age since disturbance and three cumulative indices produced by the LTSS-VCT method yielded the lowest cross validation error. The R(2) and root mean square difference (RMSD) between predicted and GLAS-based height measurements were 0.91 and 1.97 m, respectively. Predictions of this model had much higher errors than indicated by cross validation analysis when evaluated using field plot data collected through the Forest Inventory and Analysis Program of USDA Forest Service. Much of these errors were due to a lack of separation between stand clearing and non-stand clearing disturbances in current LTSS-VCT products and difficulty in deriving reliable forest height measurements using GLAS samples when terrain relief was present within their footprints. In addition, a systematic underestimation of about 5 m by the developed model was also observed, half of which could be explained by forest growth that occurred between field measurement year and model target year. The remaining difference suggests that tree height measurements derived using waveform lidar data could be significantly underestimated, especially for young pine forests. Options for improving the height modeling approach developed in this study were discussed. (C) 2011 Elsevier Inc. All rights reserved.
KeywordYoung Forest Disturbance Height Modeling Vct Ltss Glas
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Technology
DOI10.1016/j.rse.2011.03.001
WOS Subject ExtendedEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
Indexed BySCI
WOS KeywordCHANGE TRACKER MODEL ; CANOPY HEIGHT ; LASER ALTIMETER ; TOPOGRAPHY MISSION ; MAPPING VEGETATION ; NATURE-RESERVE ; SHUTTLE RADAR ; STAND VOLUME ; ETM+ DATA ; LIDAR
Language英语
Quartile2区
TOP
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000292235400005
Funding OrganizationU.S. Geological Survey ; NASA's Terrestrial Ecology, Carbon Cycle Science, and Applied Sciences ; Chinese Academy of Sciences(KZCX2-YW-QN313) ; intergovernmental Wildland Fire Leadership Council of the United States
Citation statistics
Cited Times:31[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/5492
Collection数字山地与遥感应用中心
Affiliation1.Univ Maryland, Dept Geog, College Pk, MD 20742 USA
2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
3.ASRC Res & Technol Solut ARTS, Sioux Falls, SD 57198 USA
4.USDA, Forest Serv, Rocky Mt Res Stn, Missoula, MT 59808 USA
5.US Geol Survey, Reston, VA USA
6.US Geol Survey, Ctr Earth Resources Observat & Sci, Sioux Falls, SD 57198 USA
7.NASA, Goddard Space Flight Ctr, Biospher Sci Branch, Greenbelt, MD 20771 USA
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Li, Among,Huang, Chengquan,Sun, Guoqing,et al. Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data[J]. REMOTE SENSING OF ENVIRONMENT,2011,115(8):1837-1849.
APA Li, Among.,Huang, Chengquan.,Sun, Guoqing.,Shi, Hua.,Toney, Chris.,...&Masek, Jeffrey G..(2011).Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data.REMOTE SENSING OF ENVIRONMENT,115(8),1837-1849.
MLA Li, Among,et al."Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data".REMOTE SENSING OF ENVIRONMENT 115.8(2011):1837-1849.
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