Results 271 to 280 of about 56,936 (328)

Status of the moderate-resolution imaging spectroradiometer level 1B algorithm

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII, 2021
The Moderate-resolution Imaging Spectroradiometer (MODIS) instruments are on-board the Aqua and Terra spacecraft, launched in 2002 and 1999, respectively. Since beginning operation, they have continued to collect valuable remote sensing data of the Earth in 36 spectral bands ranging in wavelengths from 0.41 to 14.5 μm.
Xu Geng, Na Chen, Kevin Vermeesch
openaire   +2 more sources

Moderate Resolution Imaging Spectroradiometer [modis] And Observations Of The Land Surface

[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium, 2005
The moderate resolution imaging spectroradiometer (MODIS) is a NASA facility instrument that is being designed for flight on the Earth Observing System (EOS) series of missions. It is designed to measure biophysical states and dynamics of the land, atmosphere, and ocean. Plans are required for use of other instruments that will be accompanying MODIS on
W.T. Lawrence, V.V. Salomonson, D.L. Toll   +2 more
openaire   +2 more sources

Vicarious calibration of the Moderate-Resolution Imaging Spectroradiometer Airborne Simulator thermal-infrared channels [PDF]

Applied Optics, 1999
We made an experimental vicarious calibration of the Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (MAS) thermal infrared (TIR) channel data acquired in the field campaign near Mono Lake, Calif. on 10 March 1998 to demonstrate the advantage of using high-elevation sites in dry atmospheric conditions for vicarious calibration.
Xialin Ma, Xiaowen Li, Michael D. King, Jeffrey S. Myers, Yulin Zhang, Zhengming Wan   +5 more
openaire   +2 more sources

Fifteen‐year statistical analysis of cloud characteristics over China using Terra and Aqua Moderate Resolution Imaging Spectroradiometer observations

International Journal of Climatology, 2019
Using 15‐year observations obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board both NASA Terra and Aqua from March 2003 to February 2018, this study investigated the spatio‐temporal variations of both macro‐ and micro ...
Chuanfeng Zhao, Yuyang Chen, Jiming Li, H. Letu, Yun Su, Tianmeng Chen, Xiaolin Wu   +6 more
semanticscholar   +1 more source

Moderate-resolution imaging spectroradiometer-based vegetation indices and their fidelity in the tropics

Journal of Applied Remote Sensing, 2011
Moderate-resolution imaging spectroradiometer (MODIS)-derived vegetation indices (VIs)-the Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Land Surface Water Index (LSWI)-are evaluated in terms of their sensitivity to the seasonal greenness pattern and moisture regime of the tropical forests of Hawaii.
Sunyurp Park, Tomoaki Miura
openaire   +2 more sources

The Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF and albedo product: preliminary results [PDF]

IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), 2002
This paper presents some of the preliminary results generated by the MODIS BRDF and albedo science data product (MOD43B). The operational algorithm relies on a semiempirical kernel-based bidirectional reflectance distribution function (BRDF) model and multi-date MODIS observations to provide global one kilometer measures of BRDF, albedo (spectral and ...
Feng Gao, Crystal B. Schaaf, Mathias Disney, M. J. Barnsley, Gareth Roberts, M Dunderdale, Nicholas C. Strugnell, P. Hobson, Wolfgang Lucht, Philip Lewis, Alan H. Strahler, T. Tsang, Xiaowen Li, J. P. Muller   +13 more
openaire   +1 more source

A snow index for the Landsat Thematic Mapper and Moderate Resolution Imaging Spectroradiometer

Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium, 2002
Describes the snow mapping algorithm being developed for use with the Earth Observing System (EOS) MODerate resolution Imaging Spectroradiometer (MODIS). A key component of this snow mapping algorithm is the normalized difference snow index (NDSI). The NDSI employs Landsat Thematic Mapper (TM) visible (0.56 /spl mu/m) and near-infrared (1.65 /spl mu/m)
G. A. Riggs, Dorothy K. Hall, Vincent V. Salomonson   +2 more
openaire   +2 more sources

Prototyping the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF and albedo product

IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 2003
In expectation of the launch of EOS Terra, this paper demonstrates how a semi-empirical kernel-based bidirectional reflectance distribution function (BRDF) model will be used with multi-date MODIS observations to provide a standard global one kilometer BRDF and albedo product.
Crystal B. Schaaf, Feng Gao, Y. Liu, T. Tsang, N. Stugnell, A.L. Strahler, Liangzan Chen, Wolfgang Lucht   +7 more
openaire   +2 more sources

Sea-surface temperature measured by the Moderate Resolution Imaging Spectroradiometer (MODIS)

IEEE International Geoscience and Remote Sensing Symposium, 2003
The Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Earth Observing System satellites Terra and Aqua include infrared bands that are designed for the accurate measurement of sea-surface temperature (SST). In addition to the conventional 'split-window' bands in the 10-12 /spl mu/m atmospheric window (similar in spectral properties to ...
Peter J. Minnett, Robert Evans, Otis B. Brown, Edward J. Kearns   +3 more
openaire   +1 more source

Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS)

, 2003
[1] Moderate Resolution Imaging Spectroradiometer (MODIS) measurements (7 channels: 0.47-2.1 μm, 250-500 m resolutions) provide us with new insights into the characteristics of global aerosols.
D. Chu, Y. Kaufman, G. Zibordi, J. Chern, J. Mao, LI Chengcai, B. Holben   +6 more
semanticscholar   +1 more source