Global land-water mask derived from MODIS Nadir BRDF-Adjusted Reflectances (NBAR) and the MODIS land cover algorithm

J. Salomon, J. C.F. Hodges, M. Friedl, C. Schaaf, A. Strahler, F. Gao, A. Schneider, X. Zhang, N. El Saleous, R. E. Wolfe

Research output: Contribution to conferencePaperpeer-review

16 Citations (Scopus)

Abstract

A new global land-water mask at 1-km resolution provides a more accurate delineation of ocean shorelines and large lake coastlines than the Earth Observing System (EOS) Digital Elevation Model (DEM) land-water mask. The mask, which is derived from the Moderate Resolution Imaging Spectrometer (MODIS) Nadir BRDF-Adjusted Reflectance (NBAR) and Land Cover products, is an update to the EOS DEM land-water mask currently used for MODIS processing. The new land-water mask exploits the superior geolocation accuracy of the Terra MODIS instrument and is based primarily on twelve months of reprocessed (V004) 1-km MODIS NBAR data from 2001 as processed by the MODIS Land Cover classification algorithm. Evaluation of the new mask reveals errors of omission in delineation of narrow rivers and small lakes.

Original languageEnglish
Pages239-241
Number of pages3
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States
Duration: Sept 20 2004Sept 24 2004

Other

Other2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
Country/TerritoryUnited States
CityAnchorage, AK
Period9/20/049/24/04

Keywords

  • EOS DEM land-water mask
  • Land cover
  • Land cover classification
  • Land-water mask
  • MODIS

ASJC Scopus subject areas

  • Computer Science Applications
  • General Earth and Planetary Sciences

Fingerprint

Dive into the research topics of 'Global land-water mask derived from MODIS Nadir BRDF-Adjusted Reflectances (NBAR) and the MODIS land cover algorithm'. Together they form a unique fingerprint.

Cite this