NISAR S-SAR Data Products Release

S-band sample data through Bhoonidhi Data Portal

The NASA–ISRO Synthetic Aperture Radar (NISAR) mission, a joint Earth observation initiative of ISRO and NASA, was successfully launched onboard GSLV-F16 on 30 July 2025 from Satish Dhawan Space Centre (SDSC-SHAR). NISAR is the world's first spaceborne SAR mission employing dual-frequency radar instrumentation, comprising NASA's L-band SAR and ISRO's S-band SAR, operating with the advanced SweepSAR acquisition technique to enable wide-swath, high-resolution imaging. The satellite has been placed in a 747 km altitude Polar Sun-synchronous orbit with an inclination of 98°, facilitating global repeat observations. With a nominal 12-day repeat cycle, NISAR enables systematic monitoring of Earth system processes including natural hazards, ecosystem dynamics, agricultural monitoring, cryosphere evolution and surface deformation.

NISAR Sample Data Collection

ISRO has released a limited set of NISAR S-band SAR sample data products through Bhoonidhi data portal. The datasets cover multiple regions across the Indian landmass, along with selected global locations representing diverse NISAR science themes. The release includes RSLC (Single Look Slant Range Complex), GSLC (Ground Range Single Look Complex), and GCOV (Ground Covariance) products to facilitate evaluation and application development. The datasets provide users with an opportunity to understand the data structure, product format, and characteristics of NISAR SSAR observations including science data layers, ancillary layers, metadata content, product specifications, noise characteristics, and spatial resolution attributes. These products are intended to familiarize the user community with the data access and dissemination mechanisms, while enabling the development, testing, validation, and optimization of processing workflows, analytical tools, and application pipelines in preparation for the substantial data volumes expected during routine mission operations. In addition, some of the released products span multiple acquisition cycles, offering multi-temporal datasets that support a broad spectrum of thematic applications, temporal change detection studies, time-series analyses, and InSAR-based investigations by the user community.

RSLC

Range-Doppler Single Look Complex

Standard L1 product that will be used to generate all higher level products.

GSLC

Geocoded SLC

Geocoded L1 SLC product using the MOE (Medium Orbit Ephemeris) state vectors and a DEM

GCOV

Geocoded Polarimetric Covariance Matrix

Geocoded polarimetric covariance matrix (1, 3, or 6 layers) using the MOE state vectors and a DEM

NISAR S-SAR RSLC Images
NISAR S-SAR GSLC Images
NISAR S-SAR GCOV Images

Calibration Status

S-band SAR products are currently in the calibration and validation phase. Fully calibrated products will released in near future. NISAR represents the first operational implementation of a dual-frequency SweepSAR radar system. As experience is gained through global data processing, calibration and algorithm improvements continue to be incorporated to further enhance the quality and utility of the released data products. Users may observe residual radiometric noise across the swath resulting in banding in the imagery over low SNR targets, Radio Frequency Interference (RFI), residual phase artifacts and related processing effects. Ongoing calibration, validation and algorithm refinement activities are expected to mitigate these issues in future releases.

Adapting to Sweep-SAR Data

NISAR is the first operational mission implementing SweepSAR technology. One of the primary advantages of SweepSAR imaging is wide-swath imaging with fine resolution. SweepSAR imaging enables wide-swath observations by extending the radar echo reception interval to accommodate returns from a large range extent. As a consequence, radar pulse transmissions may occur while echoes from previously transmitted pulses are still being received. Since the SweepSAR architecture utilizes a common reflector for both transmit and receive operations, echo reception is temporarily interrupted during pulse transmission intervals. These interruptions result in localized regions of missing observations within the receive window, commonly referred to as transmit gaps or dead ranges.

Fixed PRF Mode vs Dithered PRF Mode

Fig 1: NISAR SSAR Image acquired in Fixed PRF mode, showing transmit gaps

Pulse Repetition Frequency (PRF) determines the time difference between two transmitted chirps (which are high BandWidth frequency modulated signals transmitted and its echo is received). In Fixed PRF mode, the timing between two subsequent pulses throughout the duration of imaging is constant. This causes the Transmit Gaps to occur at the same position in the reception window. During Image Focusing operation, the alignment of dead-ranges in range time causes a black (low backscatter) region to appear at the same swath location in range direction. Since, all the pulses have the dead-range in the same location, it appears as a black-band spanning in the azimuth direction.

Fig 2: NISAR SSAR Image acquired in Dithered PRF Mode of Imaging, mitigating transmit gaps

The Dead Range in between the images are mitigated with an innovative combination of System Engineering and Signal Processing. The PRF is not maintained uniform but rather it is modified in a pattern of fixed repetition length. This causes the Transmit gaps of each corresponding line to be not aligned with the transmit gap of the previous line. This process is called dithering, and using Best Linear Unbiased Estimation technique, due to availability of adjacent pixel information in azimuth direction, and the nature of RAW signal property, the dead range pixel information can be estimated. This provides a final image after focusing without transmit gaps in this mode of imaging as shown above.

NISAR DATA ACCESS MECHANISMS

Explore the various Bhoonidhi applications to visualize, download or process satellite data

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Bhoonidhi Browse & Order

Search, View and Download Satellite Data

Bhoonidhi Vista

Visualize daily acquired data

(Coming Soooon)

Bhoonidhi Upagrah

Live satellite orbit viewer

Bhoonidhi API

Programmatic data access

HDFtoGTiffTool

HDF to GeoTIFF tool

  • HDF to GeoTIFF

    HDF to GeoTIFF Conversion Tool provides seamless conversion of NISAR datasets into widely used geospatial formats, including GeoTIFF, Cloud Optimized GeoTIFF (COG), and HDF5, ensuring compatibility with a broad range of GIS and remote sensing applications. In addition to format conversion, the tool offers spatial sub-setting capabilities, allowing users to extract areas of interest based on a point location or a polygon boundary supplied through a shapefile.

SarPolTool

SARPOLTOOL

  • SARPOLTOOL

    SARPOLTOOL is available as an integrated package within QGIS, is a comprehensive suite of utilities for multi mission SAR data processing and analysis. This toolbox is upgraded to support NISAR data conversion to GeoTIFF and provides Hybrid & Full Polarimetric decomposition techniques for extracting valuable information from polarimetric SAR observations. Designed with extensibility in mind, SARPOLTOOL serves as a robust platform for leveraging the rich information content of NISAR datasets and streamlining SAR-based applications within an open-source GIS environment.