Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods

被引:331
|
作者
Xian, George [1 ]
Homer, Collin
Fry, Joyce [2 ]
机构
[1] US Geol Survey, ARTS, Earth Resources Observat & Sci Ctr, Sioux Falls, SD 57198 USA
[2] US Geol Survey, SGT, Earth Resources Observat & Sci Ctr, Sioux Falls, SD 57198 USA
关键词
Land cover; Change vector analysis; Normalization; Landsat imagery; Change detection; RELATIVE RADIOMETRIC NORMALIZATION; CONTERMINOUS UNITED-STATES; CHANGE-VECTOR ANALYSIS; SATELLITE IMAGES; COMPLETION; FEATURES;
D O I
10.1016/j.rse.2009.02.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The recent release of the U.S. Geological Survey (USGS) National Land Cover Database (NLCD) 2001, which represents the nation's land cover status based on a nominal date of 2001, is widely used as a baseline for national land cover conditions. To enable the updating of this land cover information in a consistent and continuous manner, a prototype method was developed to update land cover by an individual Landsat path and row. This method updates NLCD 2001 to a nominal date of 2006 by using both Landsat imagery and data from NLCD 2001 as the baseline. Pairs of Landsat scenes in the same season in 2001 and 2006 were acquired according to satellite paths and rows and normalized to allow calculation of change vectors between the two dates. Conservative thresholds based on Anderson Level I land cover classes were used to segregate the change vectors and determine areas of change and no-change. Once change areas had been identified, land cover classifications at the full NLCD resolution for 2006 areas of change were completed by sampling from NLCD 2001 in unchanged areas. Methods were developed and tested across five Landsat path/row study sites that contain several metropolitan areas including Seattle, Washington; San Diego, California; Sioux Falls, South Dakota; Jackson, Mississippi: and Manchester, New Hampshire. Results from the five study areas show that the vast majority of land cover change was captured and updated with overall land cover classification accuracies of 78.32%, 87.5%, 88.57%. 78.36%, and 83.33% for these areas. The method optimizes mapping efficiency and has the potential to provide users a flexible method to generate updated land cover at national and regional scales by using NLCD 2001 as the baseline. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:1133 / 1147
页数:15
相关论文
共 50 条
  • [21] Land-use/land cover change and land surface temperature in Metropolitan Manila, Philippines using landsat imagery
    King Joshua Almadrones-Reyes
    Nikki Heherson A. Dagamac
    GeoJournal, 2023, 88 : 1415 - 1426
  • [22] Land-use/land cover change and land surface temperature in Metropolitan Manila, Philippines using landsat imagery
    Almadrones-Reyes, King Joshua
    Dagamac, Nikki Heherson A.
    GEOJOURNAL, 2023, 88 (02) : 1415 - 1426
  • [23] Change detection and classification of land cover at Hustai National Park in Mongolia
    Bayarsaikhan, Uudus
    Boldgiv, Bazartseren
    Kim, Kyung-Ryul
    Park, Kyung-Ae
    Lee, Donkoo
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2009, 11 (04): : 273 - 280
  • [24] Assessing climate impact on forest cover in areas undergoing substantial land cover change using Landsat imagery
    Yang, Qinli
    Zhang, Heng
    Peng, Wanshan
    Lan, Yaoyao
    Luo, Shasha
    Shao, Junming
    Chen, Dongzi
    Wang, Guoqing
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 659 : 732 - 745
  • [25] ESTIMATION OF LAND COVER CHANGE USING LANDSAT SATELLITE IMAGERY AND THE RANDOM FOREST CLASSIFIER
    Rodriguez-Rosales, Jose
    Gonzalez-Camacho, Juan Manuel
    Macedo-Cruz, Antonia
    Fernandez-Ordonez, Yolanda M.
    AGROCIENCIA, 2024, 58 (08)
  • [26] Optimal Land Cover Mapping and Change Analysis in Northeastern Oregon Using Landsat Imagery
    Campbell, Michael
    Congalton, Russell G.
    Hartter, Joel
    Ducey, Mark
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2015, 81 (01): : 37 - 47
  • [27] A Landsat 7 scene selection strategy for a national land cover database
    Yang, LM
    Homer, C
    Hegge, K
    Huang, CQ
    Wylie, B
    Reed, B
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 1123 - 1125
  • [28] Land use classification from multitemporal Landsat imagery using the Yearly Land Cover Dynamics (YLCD) method
    Julien, Y.
    Sobrino, J. A.
    Jimenez-Munoz, J-C
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2011, 13 (05) : 711 - 720
  • [29] Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping
    Potapov, Peter
    Hansen, Matthew C.
    Kommareddy, Indrani
    Kommareddy, Anil
    Turubanova, Svetlana
    Pickens, Amy
    Adusei, Bernard
    Tyukavina, Alexandra
    Ying, Qing
    REMOTE SENSING, 2020, 12 (03)
  • [30] THE USE OF LAND COVER CHANGE LIKELIHOOD FOR IMPROVING LAND COVER CLASSIFICATION
    Reis, Mariane S.
    Sant'Anna, Sidnei J. S.
    Dutra, Luciano V.
    Escada, Maria Isabel S.
    Pantaleao, Eliana
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 3222 - 3225