The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research
Abstract
The first Moderate Resolution Imaging Spectroradiometer (MODIS) instrument is planned for launch by NASA in 1998. This instrument will provide a new and improved capability for terrestrial satellite remote sensing aimed at meeting the needs of global change research. The MODIS standard products will provide new and improved tools for moderate resolution land surface monitoring. These higher order data products have been designed to remove the burden of certain common types of data processing from the user community and meet the more general needs of global-to-regional monitoring, modeling, and assessment. The near-daily coverage of moderate resolution data from MODIS, coupled with the planned increase in high-resolution sampling from Landsat 7, will provide a powerful combination of observations. The full potential of MODIS will be realized once a stable and well-calibrated time-series of multispectral data has been established. In this paper the proposed MODIS standard products for land applications are described along with the current plans for data quality assessment and product validation.
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Citations
Cites
Climate and the efficiency of crop production in Britain
Monteith, J. L. (1977) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1977.0140 · Cited by 3,484 · cited 3×
“usually ascribed to Monteith [91], which relates PSN and NPP”
BackgroundInfluential
Cited by
Cropland expansion changes deforestation dynamics in the southern Brazilian Amazon
Morton, D. C., DeFries, R. S., Shimabukuro, Y. E., Anderson, L. O., Arai, E., del Bon Espirito-Santo, F., Freitas, R., & Morisette, J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606377103 · Cited by 1,081
Self-citationA new global 1‐km dataset of percentage tree cover derived from remote sensing
Defries, R. S., Hansen, M. C., Townshend, J. R. G., Janetos, A. C., & Loveland, T. R. (2000) · Global Change Biology · doi:10.1046/j.1365-2486.2000.00296.x · Cited by 459
Self-citationAssessment of methods for mapping snow cover from MODIS
Rittger, K., Painter, T. H., & Dozier, J. (2013) · Advances in Water Resources · doi:10.1016/j.advwatres.2012.03.002 · Cited by 414
Brown, M. E., Pinzon, J. E., Didan, K., Morisette, J. T., & Tucker, C. J. (2006) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2005.860205 · Cited by 367
The 50-year Landsat collection 2 archive
Crawford, C. J., Roy, D. P., Arab, S., Barnes, C., Vermote, E., Hulley, G., Gerace, A., Choate, M., Engebretson, C., Micijevic, E., et al. (2023) · Science of Remote Sensing · doi:10.1016/j.srs.2023.100103 · Cited by 292
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Metadata
- Authors
- Justice, C. O., Vermote, E., Townshend, J. R. G., Defries, R., Roy, D. P., Hall, D. K., Salomonson, V. V., Privette, J. L., Riggs, G., Strahler, A., Lucht, W., Myneni, R. B., Knyazikhin, Y., Running, S. W., Nemani, R. R., Wan, Z., Huete, A. R., van Leeuwen, W., Wolfe, R. E., Giglio, L., Muller, J., Lewis, P., & Barnsley, M. J.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 1998-07
- Volume
- 36
- Issue
- 4
- Pages
- 1228-1249
- ISSN
- 0196-2892 (ISSN-L)
- OpenAlex
- W2119513445
- Cited by
- 1,635
- References
- 1
- FWCI
- 27.79
- Type
- journal article
- Language
- en
- Open access
- closed
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- Justice, C. O., Vermote, E., Townshend, J. R. G., Defries, R., Roy, D. P., Hall, D. K., Salomonson, V. V., Privette, J. L., Riggs, G., Strahler, A., Lucht, W., Myneni, R. B., Knyazikhin, Y., Running, S. W., Nemani, R. R., Wan, Z., Huete, A. R., van Leeuwen, W., Wolfe, R. E., . . . Barnsley, M. J. (1998). The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/36.701075
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
