| Abstract: | To monitor land surface processes over a wide range of temporal and spatial scales, it is critical to have coordinated observations of the Earth‘s surface acquired from multiple spaceborne imaging sensors. However, an integrated global observation framework requires an understanding of how land surface processes are seen differently by various sensors. This is particularly true for sensors acquiring data in spectral bands whose relative spectral responses (RSRs) are not similar and thus may produce different results while observing the same target. The intrinsic offsets between two sensors caused by RSR mismatches can be compensated by using a spectral band adjustment factor (SBAF), which takes into account the spectral profile of the target and the RSR of the two sensors. The motivation of this work comes from the need to compensate the spectral response differences of multispectral sensors in order to provide a more accurate cross-calibration between the sensors. In this paper, radiometric cross-calibration of the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) sensors was performed using near-simultaneous observations over the Libya 4 pseudoinvariant calibration site in the visible and near-infrared spectral range. The RSR differences of the analogous ETM+ and MODIS spectral bands provide the opportunity to explore, understand, quantify, and compensate for the measurement differences between these two sensors. The cross-calibration was initially performed by comparing the top-of-atmosphere (TOA) reflectances between the two sensors over their lifetimes. The average percent differences in the long-term trends ranged from $-$5% to $+$6%. The RSR compensated ETM+ TOA reflectance (ETM+$^{ast}$) measurements were then found to agree with MODIS TOA reflectance to within 5% for all bands when Earth Observing-1 Hy- erion hyperspectral data were used to produce the SBAFs. These differences were later reduced to within 1% for all bands (except band 2) by using Environmental Satellite Scanning Imaging Absorption Spectrometer for Atmospheric Cartography hyperspectral data to produce the SBAFs. |
| Genre: | Article |
| ProdID: | 70044136 |
| Citation Author: | Gyanesh Chander |
| Citation Contributing Office: | Earth Resources Observation and Science (EROS) Center |
| Citation Datum: | |
| Citation Day: | |
| Citation Edition: | |
| Citation Editor: | |
| Citation End Page: | 1281 |
| Citation Issue: | 3 |
| Citation Keywords: | |
| Citation Language: | English |
| Citation Larger Work Title: | IEEE Transactions on Geoscience and Remote Sensing |
| Citation LatN: | |
| Citation LatS: | |
| Citation LonE: | |
| Citation LonW: | |
| Citation Month: | MAR |
| Citation No Pagination: | |
| Citation Number Of Pages: | |
| Citation Online Only Flag: | |
| Citation Phsyical Description: | 15 p. |
| Citation Projection: | |
| Citation Public Comments: | |
| Citation Publisher: | IEEE |
| Citation Series: | |
| Citation Series Code: | |
| Citation Series Number: | |
| Citation Search Results Text: | Applications of spectral band adjustment factors (SBAF) for cross-calibration; 2013; Article; Journal; IEEE Transactions on Geoscience and Remote Sensing; Gyanesh Chander |
| Citation Start Page: | 1267 |
| Citation Volume: | 51 |
| Citation Year: | 2013 |
| Type: | citation/reference |
| Text: | Applications of spectral band adjustment factors (SBAF) for cross-calibration; 2013; Article; Journal; IEEE Transactions on Geoscience and Remote Sensing; Gyanesh Chander |
| URL (DIGITAL OBJECT IDENTIFIER): | http://dx.doi.org/10.1109/TGRS.2012.2228007 |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Wed, 27 Feb 2013 00:00 -0600 |
| Publisher: | IEEE |
