Global land cover classification results from MODIS

M. A. Friedl; D. K. McIver; X. Y. Zhang; J. C.F. Hodges; A. Schnieder; A. Bacinni; A. H. Strahler; A. Cooper; F. Gao; C. Schaaf; W. Liu

Global land cover classification results from MODIS

M. A. Friedl
, D. K. McIver
, X. Y. Zhang
, J. C.F. Hodges
, A. Schnieder
, A. Bacinni
, A. H. Strahler
, A. Cooper
, F. Gao
, C. Schaaf
, W. Liu

SFE - Dean's Office

Boston University

Research output: Contribution to conference › Paper › peer-review

Abstract

The MODIS global land cover product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP. To generate these maps, a supervised classification methodology is used that exploits a global database of training sites interpreted from high resolution imagery in association with ancillary data. Initial results from MODIS data are very encouraging. At global scales, the distribution of vegetation and land cover types is realistic. As a full year of data is added to the processing stream and the global site database is refined, the quality of the MODIS land cover product will improve accordingly.

Original language	English
Pages	733-735
Number of pages	3
State	Published - 2001
Event	2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) - Sydney, NSW, Australia Duration: Jul 9 2001 → Jul 13 2001

Conference

Conference	2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)
Country/Territory	Australia
City	Sydney, NSW
Period	7/9/01 → 7/13/01

ASJC Scopus Subject Areas

Computer Science Applications
General Earth and Planetary Sciences

Cite this

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title = "Global land cover classification results from MODIS",

abstract = "The MODIS global land cover product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP. To generate these maps, a supervised classification methodology is used that exploits a global database of training sites interpreted from high resolution imagery in association with ancillary data. Initial results from MODIS data are very encouraging. At global scales, the distribution of vegetation and land cover types is realistic. As a full year of data is added to the processing stream and the global site database is refined, the quality of the MODIS land cover product will improve accordingly.",

author = "Friedl, \{M. A.\} and McIver, \{D. K.\} and Zhang, \{X. Y.\} and Hodges, \{J. C.F.\} and A. Schnieder and A. Bacinni and Strahler, \{A. H.\} and A. Cooper and F. Gao and C. Schaaf and W. Liu",

year = "2001",

language = "English",

pages = "733--735",

note = "2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) ; Conference date: 09-07-2001 Through 13-07-2001",

}

TY - CONF

T1 - Global land cover classification results from MODIS

AU - Friedl, M. A.

AU - McIver, D. K.

AU - Zhang, X. Y.

AU - Hodges, J. C.F.

AU - Schnieder, A.

AU - Bacinni, A.

AU - Strahler, A. H.

AU - Cooper, A.

AU - Gao, F.

AU - Schaaf, C.

AU - Liu, W.

PY - 2001

Y1 - 2001

N2 - The MODIS global land cover product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP. To generate these maps, a supervised classification methodology is used that exploits a global database of training sites interpreted from high resolution imagery in association with ancillary data. Initial results from MODIS data are very encouraging. At global scales, the distribution of vegetation and land cover types is realistic. As a full year of data is added to the processing stream and the global site database is refined, the quality of the MODIS land cover product will improve accordingly.

AB - The MODIS global land cover product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP. To generate these maps, a supervised classification methodology is used that exploits a global database of training sites interpreted from high resolution imagery in association with ancillary data. Initial results from MODIS data are very encouraging. At global scales, the distribution of vegetation and land cover types is realistic. As a full year of data is added to the processing stream and the global site database is refined, the quality of the MODIS land cover product will improve accordingly.

UR - https://www.scopus.com/pages/publications/0035573591

UR - https://www.scopus.com/pages/publications/0035573591#tab=citedBy

M3 - Paper

AN - SCOPUS:0035573591

SP - 733

EP - 735

T2 - 2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)

Y2 - 9 July 2001 through 13 July 2001

ER -

Global land cover classification results from MODIS

Abstract

Conference

ASJC Scopus Subject Areas

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Cite this