Quantification and comparison of spectral characteristics of sensors on board Resourcesat-1 and Resourcesat-2 satellites

Abstract

This letter presents quantification and comparison of spectral characteristics of three similar sensors, namely Linear Imaging Self-Scanning Sensor (LISS)-III, LISS-IV and Advanced Wide Field Sensor (AWiFS) on board Indian Remote Sensing (IRS) satellites Resourcesat-1 (RS1) and Resourcesat-2 (RS2). Theoretical estimates of three critical spectral characteristics, effective bandwidth ( λ), central wavelength (λ c ) and bandpass solar exoatmospheric irradiance (E 0 ), have been computed based on the laboratory measurements of the relative spectral response (RSR) for each spectral band. A comparative analysis between two estimates computed through the moment method and the full width at half maximum (FWHM) method showed noticeable differences of the order of 4.4-14.1 nm in λ and λ c for the corresponding band of Resourcesat sensors. A coefficient of variation (CV) of the order of 0.1-1.3% was noticed in E 0 among various Resourcesat sensors, which could induce a difference of 0.26-3.27% in the estimation of top-of-atmosphere (TOA) reflectance. The variations in spectral characteristics among the Resourcesat sensors should be taken into account when comparisons are made between measurements from sensors on board RS1 and RS2 satellites, for example, for long-term monitoring of the Earth's environment.

Discrimination of maize crop with hybrid polarimetric RISAT1 data

“…It carries three sensors. LISS-III, IV, and Advanced Wide Field Sensor (AWiFS) with respective resolution of 23.5, 5.8, and 56 m. LISS-III sensor images the earth in four spectral bands: Green (0.52-0.59 µm), Red (0.62-0.68 µm), near-infrared (0.77-0.86 µm) and short-wave infrared (1.55-1.70 µm) (Dave et al 2006;Pandya, Murali, and Kirankumar 2013). The present study selected data acquired on 01 April 2014 with spatial resolution of 23.5 m.…”

Deep learning for multisensor image resolution enhancement

“…The satellites take 101.35 minutes to complete one revolution around the earth and complete about 14 orbits per day. The entire earth is covered by 341 orbits during a 24-day cycle [34,35]. The LISS-3 and AWiFS instruments on the Resourcesat-1 and -2 satellites acquire four spectral bands ranging from the Visible and Near-Infrared (VNIR) to Shortwave Infrared (SWIR) wavelengths.…”

“…The LISS-3 sensor covers a 140-km orbital swath with a product spatial resolution of 24 meters and a 24-day repeat cycle. The AWiFS sensor covers a 740-km orbital swath at a resolution of 56 meters and provides a 5-day repeat cycle [34,35]. The characteristics of the LISS-III and AWiFS sensors are given in Table 1.…”

Retrieval of Surface Reflectance using SACRS2: a Scheme for Atmospheric Correction of ResourceSat-2 AWiFS data

“…Moreover, atmospheric profiles corresponding to the tropical atmospheric conditions were used from the SeeBor dataset. All these spectral calculations were carried out to obtain an integrated band value by convolving the spectral response functions (as shown in figure 2) of RS2 AWiFS sensor (Pandya et al, 2013). Based upon theory discussed in above section (for more details refer, Rahman & Dedieu, 1994) and considering various atmospheric and surface inputs, thousands of simulations was carried out pertaining to RS2-AWiFS sensor and a set of 118 coefficients were determined for four spectral bands.…”

“…Atmospheric correction has been a gap area for the IRS data since the first launch of the satellite in the year 1988. ISRO launched its latest remote sensing satellite called Resourcesat-2 (RS2) on April 20, 2011, which has three payloads namely, AWiFS, LISS-III and LISS-IV (for salient features of these payloads see Pandya et al, 2013). Since RS2 AWiFS has been providing global coverage, atmospheric correction is must for it.…”