Land Cover Characterization and Mapping of South America for the Year 2010 Using Landsat 30 m Satellite Data

被引:27
|
作者
Giri, Chandra [1 ]
Long, Jordan [2 ,3 ]
机构
[1] US Geol Survey, Earth Resources Observat & Sci EROS Ctr, Sioux Falls, SD 57198 USA
[2] US Geol Survey, Earth Resources Observat & Sci EROS Ctr, Inu Teq, Sioux Falls, SD 57198 USA
[3] USGS Contract G13PC00028, Sioux Falls, SD USA
关键词
land cover; mapping; Landsat; South America; image processing; validation; VALIDATION DATA SET; LATIN-AMERICA; SPATIAL-RESOLUTION; FOREST COVER; CITY LIGHTS; MODIS; CLASSIFICATION; DEFORESTATION; ACCURACY; IMAGERY;
D O I
10.3390/rs6109494
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Detailed and accurate land cover and land cover change information is needed for South America because the continent is in constant flux, experiencing some of the highest rates of land cover change and forest loss in the world. The land cover data available for the entire continent are too coarse ( 250 m to 1 km) for resource managers, government and non-government organizations, and Earth scientists to develop conservation strategies, formulate resource management options, and monitor land cover dynamics. We used Landsat 30 m satellite data of 2010 and prepared the land cover database of South America using state-of-the-science remote sensing techniques. We produced regionally consistent and locally relevant land cover information by processing a large volume of data covering the entire continent. Our analysis revealed that in 2010, 50% of South America was covered by forests, 2.5% was covered by water, and 0.02% was covered by snow and ice. The percent forest area of South America varies from 9.5% in Uruguay to 96.5% in French Guiana. We used very high resolution (<5 m) satellite data to validate the land cover product. The overall accuracy of the 2010 South American 30-m land cover map is 89% with a Kappa coefficient of 79%. Accuracy of barren areas needs to improve possibly using multi-temporal Landsat data. An update of land cover and change database of South America with additional land cover classes is needed. The results from this study are useful for developing resource management strategies, formulating biodiversity conservation strategies, and regular land cover monitoring and forecasting.
引用
收藏
页码:9494 / 9510
页数:17
相关论文
共 50 条
  • [21] Assessing and mapping the severity of soil erosion using the 30-m Landsat multispectral satellite data in the former South African homelands of Transkei
    Seutloali, Khoboso E.
    Dube, Timothy
    Mutanga, Onisimo
    PHYSICS AND CHEMISTRY OF THE EARTH, 2017, 100 : 296 - 304
  • [22] Mapping northern land cover fractions using Landsat ETM
    Thof, Ian
    Fraser, Robert H.
    REMOTE SENSING OF ENVIRONMENT, 2007, 107 (03) : 496 - 509
  • [23] MAPPING OF SALT-AFFECTED LAND IN SAURASHTRA COAST USING LANDSAT SATELLITE DATA
    JOSHI, MD
    SAHAI, B
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (10) : 1919 - 1929
  • [24] Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data
    Avdan, Ugur
    Jovanovska, Gordana
    JOURNAL OF SENSORS, 2016, 2016
  • [25] Assessment of Surface Energy Fluxes variation with Land Cover Parameters using LandSat Satellite data
    Bala, Ruchi
    Yadav, Vijay Pratap
    Kumar, D. Nagesh
    Prasad, Rajendra
    2022 URSI REGIONAL CONFERENCE ON RADIO SCIENCE, USRI-RCRS, 2022, : 400 - 403
  • [26] Operational mapping of the land cover of the forested area of Canada with Landsat data: EOSD land cover program
    Wulder, MA
    Dechka, JA
    Gillis, MA
    Luther, JE
    Hall, RJ
    Beaudoin, A
    FORESTRY CHRONICLE, 2003, 79 (06): : 1075 - 1083
  • [27] Regional Land Cover Characterization Using Landsat Thematic Mapper Data and Ancillary Data Sources
    J.E. Vogelmann
    T.L. Sohl
    P.V. Campbell
    D.M. Shaw
    Environmental Monitoring and Assessment, 1998, 51 : 415 - 428
  • [28] Regional land cover characterization using Landsat thematic mapper data and ancillary data sources
    Vogelmann, JE
    Sohl, TL
    Campbell, PV
    Shaw, DM
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 1998, 51 (1-2) : 415 - 428
  • [29] LAND COVER CHANGE ANALYSIS OF THE YUCATAN PENINSULA USING LANDSAT DATA FROM 1985 TO 2010
    Colditz, Rene R.
    Llamas, Ricardo M.
    Mascorro, Vanessa S.
    Ressl, Rainer A.
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 4621 - 4624
  • [30] Mapping Decadal Land Cover Changes in the Woodlands of North Eastern Namibia from 1975 to 2014 Using the Landsat Satellite Archived Data
    Wingate, Vladimir R.
    Phinn, Stuart R.
    Kuhn, Nikolaus
    Bloemertz, Lena
    Dhanjal-Adams, Kiran L.
    REMOTE SENSING, 2016, 8 (08)