Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Nazmi El Saleous is active.

Publication


Featured researches published by Nazmi El Saleous.


IEEE Geoscience and Remote Sensing Letters | 2006

A Landsat surface reflectance dataset for North America, 1990-2000

Jeffrey G. Masek; Eric F. Vermote; Nazmi El Saleous; Robert E. Wolfe; Forrest G. Hall; Karl Fred Huemmrich; Feng Gao; Jonathan Kutler; Teng-Kui Lim

The Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) at the National Aeronautics and Space Administration (NASA) Goddard Space Flight Center has processed and released 2100 Landsat Thematic Mapper and Enhanced Thematic Mapper Plus surface reflectance scenes, providing 30-m resolution wall-to-wall reflectance coverage for North America for epochs centered on 1990 and 2000. This dataset can support decadal assessments of environmental and land-cover change, production of reflectance-based biophysical products, and applications that merge reflectance data from multiple sensors [e.g., the Advanced Spaceborne Thermal Emission and Reflection Radiometer, Multiangle Imaging Spectroradiometer, Moderate Resolution Imaging Spectroradiometer (MODIS)]. The raw imagery was obtained from the orthorectified Landsat GeoCover dataset, purchased by NASA from the Earth Satellite Corporation. Through the LEDAPS project, these data were calibrated, converted to top-of-atmosphere reflectance, and then atmospherically corrected using the MODIS/6S methodology. Initial comparisons with ground-based optical thickness measurements and simultaneously acquired MODIS imagery indicate comparable uncertainty in Landsat surface reflectance compared to the standard MODIS reflectance product (the greater of 0.5% absolute reflectance or 5% of the recorded reflectance value). The rapid automated nature of the processing stream also paves the way for routine high-level products from future Landsat sensors.


Remote Sensing of Environment | 2002

An overview of MODIS land data processing and product status

Christopher O. Justice; J. R. G. Townshend; Eric F. Vermote; Edward J. Masuoka; Robert E. Wolfe; Nazmi El Saleous; David P. Roy; Jeffrey T. Morisette

Data from the first Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the NASA Terra Platform are being used to provide a new generation of land data products in support of the National Aeronautics and Space Administration (NASA)s Earth Science Enterprise, global change research and natural resource management. The MODIS products include global data sets heretofore unavailable, derived from new moderate resolution spectral bands with spatial resolutions of 250 m to 1 km. A partnership between Science Team members and the MODIS Science Data Support Team is producing data sets of unprecedented volume and number for the land research and applications. This overview paper provides a summary of the instrument performance and status, the data production system, the products, their status and availability for land studies.


Remote Sensing of Environment | 2002

Atmospheric correction of MODIS data in the visible to middle infrared: first results

Eric F. Vermote; Nazmi El Saleous; Christopher O. Justice

The MODIS instrument provides major advances in moderate resolution earth observation. Improved spatial resolution for land observation at 250 and 500 m and improved spectral band placement provide new remote sensing opportunities. NASA has invested in the development of improved algorithms for MODIS, which will provide new data sets for global change research. Surface reflectance is one of the key products from MODIS and is used in developing several higher-order land products. The surface reflectance algorithm builds on the heritage of the Advanced Very High Resolution Radiometer (AVHRR) and SeaWiFS algorithms, taking advantage of the new sensing capabilities of MODIS. Atmospheric correction by the removal of water vapor and aerosol effects provides improvements over previous coarse resolution products and the basis for a new time-series, which will extend through to the NPOESS generation imagers. This paper summarizes the first evaluation of the MODIS surface reflectance product accuracy, in comparison with other data products and in the context of the MODIS instrument performance since launch. The MODIS surface reflectance product will provide an important time-series data set for quantifying global environmental change.


Archive | 2010

MODIS Land Data Products: Generation, Quality Assurance and Validation

Edward J. Masuoka; David P. Roy; Robert E. Wolfe; Jeffery T. Morisette; Scott Sinno; Michael Teague; Nazmi El Saleous; Sadashiva Devadiga; Christopher O. Justice; Jaime Nickeson

The Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA’s Earth Observing System (EOS) Terra and Aqua satellites are key instruments that xadprovide data on global land, atmosphere, and ocean dynamics (Salomonson et al. 1989). MODIS acquires data, which covers the entire earth surface on a near-daily basis in 36 spectral bands that span the visible (0.415 µm) to infrared (14.235 µm) spectra at 1-km, 500-m, and 250-m nadir pixel resolutions.


Archive | 2010

Terra and Aqua MODIS Design, Radiometry, and Geometry in Support of Land Remote Sensing

Xiaoxiong Xiong; Robert E. Wolfe; William L. Barnes; Bruce Guenther; Eric F. Vermote; Nazmi El Saleous; Vincent V. Salomonson

The NASA Earth Observing System (EOS) mission includes the construction and launch of two nearly identical Moderate Resolution Imaging Spectroradiometer (MODIS) instruments. The MODIS proto-flight model (PFM) is onboard the EOS Terra satellite (formerly EOS AM-1) launched on December 18, 1999 and hereafter referred to as Terra MODIS. Flight model-1 (FM1) is onboard the EOS Aqua satellite (formerly EOS PM-1) launched on May 04, 2002 and referred to as Aqua MODIS. MODIS was developed based on the science community’s desire to collect multiyear continuous datasets for monitoring changes in the Earth’s land, oceans and atmosphere, and the human contributions to these changes.


Archive | 1999

Kronos: A Java-Based Software System for the Processing and Retrieval of Large Scale AVHRR Data Sets

Z. Zhang; Joseph J aJ; David A. Bader; Satya Kalluri; Huiping Song; Nazmi El Saleous; Eric F. Vermote; J. R. G. Townshend


Archive | 2004

Evaluation of Operational Albedo Algorithms For AVHRR, MODIS and VIIRS: Case Studies in Southern Africa

Jeffrey L. Privette; Crystal B. Schaaf; Nazmi El Saleous; Shoudan Liang


Archive | 2004

Atmospheric corrections for land long term data records

Eric F. Vermote; Nazmi El Saleous


Archive | 2004

A long-term Land data record from AVHRR, MODIS and VIIRS

Nazmi El Saleous; Eric F. Vermote; Edward J. Masuoka; Jeffrey L. Privette; David P. Roy; C. J. Tucker; Jorge E. Pinzon; Stephen D. Prince


Archive | 2004

Production of MODIS Land Science Products

Robert E. Wolfe; Edward J. Masuoka; Nazmi El Saleous

Collaboration


Dive into the Nazmi El Saleous's collaboration.

Top Co-Authors

Avatar

Eric F. Vermote

Goddard Space Flight Center

View shared research outputs
Top Co-Authors

Avatar

Robert E. Wolfe

Goddard Space Flight Center

View shared research outputs
Top Co-Authors

Avatar

Edward J. Masuoka

Goddard Space Flight Center

View shared research outputs
Top Co-Authors

Avatar

David P. Roy

South Dakota State University

View shared research outputs
Top Co-Authors

Avatar

Jeffrey L. Privette

National Oceanic and Atmospheric Administration

View shared research outputs
Top Co-Authors

Avatar

Bruce Guenther

Goddard Space Flight Center

View shared research outputs
Top Co-Authors

Avatar

C. J. Tucker

Goddard Space Flight Center

View shared research outputs
Top Co-Authors

Avatar

Crystal B. Schaaf

University of Massachusetts Boston

View shared research outputs
Top Co-Authors

Avatar

David A. Bader

Georgia Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Feng Gao

Agricultural Research Service

View shared research outputs
Researchain Logo
Decentralizing Knowledge