Name
Title | ||
|---|---|---|
Use of In Situ and Airborne Multiangle Data to Assess MODIS- and Landsat-Based Estimates of Directional Reflectance and Albedo |
Abstract | ||
|---|---|---|
The quantification of uncertainty in satellite-derived global surface albedo products is a critical aspect in producing complete, physically consistent, and decadal land property data records for studying ecosystem change. A challenge in validating albedo measurements acquired from space is the ability to overcome the spatial scaling errors that can produce disagreements between satellite and field-measured values. Here, we present the results from an accuracy assessment of MODIS and Landsat-TM albedo retrievals, based on collocated comparisons with tower and airborne Cloud Absorption Radiometer (CAR) measurements collected during the 2007 Cloud and Land Surface Interaction Campaign (CLASIC). The initial focus was on evaluating inter-sensor consistency through comparisons of intrinsic bidirectional reflectance estimates. Local and regional assessments were then performed to obtain estimates of the resulting scaling uncertainties, and to establish the accuracy of albedo reconstructions during extended periods of precipitation. In general, the satellite-derived estimates met the accuracy requirements established for the high-quality MODIS operational albedos at 500 m (the greater of 0.02 units or ±10% of surface measured values). However, results reveal a high degree of variability in the root-mean-square error (RMSE) and bias of MODIS visible (0.3-0.7 μm) and Landsat-TM shortwave (0.3-5.0 μm) albedos; where, in some cases, retrieval uncertainties were found to be in excess of 15 %. Results suggest that an overall improvement in MODIS shortwave albedo retrieval accuracy of 7.8%, based on comparisons between MODIS and CAR albedos, resulted from the removal of sub-grid scale mismatch errors when directly scaling-up the tower measurements to the MODIS satellite footprint. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TGRS.2013.2243457 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
albedo,atmospheric optics,atmospheric precipitation,atmospheric techniques,clouds,ecology,mean square error methods,reflectivity,AD 2007,CAR albedo,Landsat-TM albedo retrievals,Landsat-TM shortwave albedo,MODIS albedo retrievals,MODIS satellite footprint,MODIS visible albedo,airborne multiangle data,albedo measurements,albedo reconstructions,cloud absorption radiometer measurements,cloud-land surface interaction campaign,decadal land property data,directional reflectance,ecosystem change,field-measured values,high-quality MODIS operational albedos,intersensor consistency,intrinsic bidirectional reflectance estimates,local assessments,precipitation,regional assessments,root-mean-square error variability,satellite-derived global surface albedo products,spatial scaling errors,subgrid scale mismatch errors,Biosphere,ecosystems,land surface,remote sensing | Atmospheric optics,Biosphere,Satellite,Remote sensing,Shortwave,Mean squared error,Albedo,Environmental science,Footprint,Radiometer | Journal |
Volume | Issue | ISSN |
51 | 3 | 0196-2892 |
Citations | PageRank | References |
15 | 1.08 | 5 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel O. Roman | 1 | 26 | 4.19 |
| Charles K. Gatebe | 2 | 38 | 7.41 |
| Yanmin Shuai | 3 | 38 | 6.51 |
| Zhuosen Wang | 4 | 42 | 6.78 |
| Feng Gao | 5 | 401 | 51.85 |
| Jeffrey G. Masek | 6 | 287 | 41.41 |
| Tao He | 7 | 53 | 8.30 |
| Shunlin Liang | 8 | 611 | 116.22 |
| Crystal Schaaf | 9 | 34 | 13.92 |