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Zhang, Xuehong
- Comparison of Spectral Characteristics between EO-1 ALI and IRS-P6 LISS-III Imagery
Abstract Views :226 |
PDF Views:98
Authors
Affiliations
1 School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, CN
2 International Institute for Earth System Science, Nanjing University, Nanjing 210093, CN
1 School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, CN
2 International Institute for Earth System Science, Nanjing University, Nanjing 210093, CN
Source
Current Science, Vol 108, No 5 (2015), Pagination: 954-960Abstract
Data from the Indian Remote Sensing Satellite (IRS) P6 have been widely used for integrated land and water resources management. To complement and substitute data measured from other similar satellites and obtain constant measurements of the Earth's surface features, we evaluated the spectral characteristics between IRS-P6 LISS-III, a sensor of IRS P6, and EO- 1 ALI by comparing their top-of-atmosphere (TOA) reflectance and normalized difference vegetation index (NDVI) of three nearly simultaneous image pairs. In particular, due to the difference in NIR band design between LISS-III and ALI, the spectral characteristics of NIR band of LISS-III were compared with the two NIR bands of ALI. The results demonstrate that a distinct linear correlation exists between the spectral characteristics of LISS-III and ALI, with R2 values ranging from 0.976 to 0.995 for TOA reflectance and from 0.992 to 0.997 for NDVI. Therefore, a mutual complementation and substitution of the TOA reflectance and NDVI between LISS-III and ALI images is feasible. Moreover, both TOA reflectance and NDVI of LISS-III are more similar to those of ALI at band 4 than to those of ALI at band 4P due to the difference in the two NIR bands of ALI.Keywords
Normalized Difference Vegetation Index, Remote Sensing Satellite, Spectral Characteristics, Top-ofatmosphere Reflectance.Full Text
- Comparative Analysis of Spectral Characteristics of EO-1 ALI and Landsat 8 OLI Imagery
Abstract Views :232 |
PDF Views:69
Authors
Xuehong Zhang
1,
Lixin Shi
2
Affiliations
1 School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, CN
2 Hebei Provincial Key Lab for Meteorology and Eco-Environment, Meteorological Institute of Hebei Province, Shijiazhuang 050021, CN
1 School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, CN
2 Hebei Provincial Key Lab for Meteorology and Eco-Environment, Meteorological Institute of Hebei Province, Shijiazhuang 050021, CN
Source
Current Science, Vol 112, No 11 (2017), Pagination: 2288-2295Abstract
Landsat 8 (L8) is the only normally operating Landsat satellite at present, and the Earth Observing One (EO-1) Advanced Land Imager (ALI) was the prototype for operational land imager (OLI) on-board the L8 satellite. To comprehend well the differences in spectral characteristics between the two sensors, six nearly simultaneous image pairs were selected, which included five land-cover categories: water, bare soil, vegetation, manmade and rock. Moreover, comparisons of spectral characteristics were made through orbital parameters, imaging parameters, spectral response characteristics and spectral characteristics. Finally, the mutual quantitative relations were built up among these image pairs. The results demonstrate that Landsat 8 OLI and EO-1 ALI have similar orbital parameters. With regard to the imaging and spectral response characteristics, the top-of-atmosphere (TOA) reflectance and normalized difference vegetation index (NDVI) of EO-1 ALI are slightly different from those of L8 OLI, but there is a high correlation between EO-1 ALI and L8 OLI of TOA reflectance and NDVI, with the coefficients of determination ranging from 0.962 to 0.994. Therefore, the TOA reflectance and NDVI images from the two sensors are complementary.Keywords
Top-Of-Atmosphere Reflectance, Spectral Characteristics, Image Pairs, Vegetation Index.Full Text
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