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NISAR UAVSAR AM-PM Campaign Deployment (L-band)

Jun 6–Oct 30, 2019


This deployment is open to flight request submissions through the SOFRS page. If you need any assistance, please contact us.

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Southeastern United States

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The NISAR UAVSAR AM-PM campaign will collect radar data during a growing season in the Southeastern United States. The data will be acquired in approximately 12-day intervals over a series of alternating morning and afternoon flights. NISAR supports research for four main topics which include ecosystems, hydrology, natural hazards, and the cryosphere. This campaign aims to provide imagery and data for the ecosystem topic since this topic currently lacks proxy data. The proxy data collected during this campaign will guide the development of NISAR ecosystem science algorithms. This campaign not only advances NISAR pre-launch but also investigates the generation of science products possible after the launch of NISAR in 2022.

Airports

  • Ellington Field (Houston, USA)

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Publications

  • Adeli, S., Salehi, B., Mahidanpari, M., Quackenbush, L.J. Chapman, B. (2021). Moving Towards L-Band NASA-ISRO SAR Mission (NISAR) Dense Time Series: Multi-Polarization Object-Based Classification of Wetlands using Two Machine Learning Algorithms. Earth and Space Science.
    Paper / Peer-reviewed

  • Adeli, S., Salehi, B., Mahidanpari, M., Quackenbush, L.J. & Chapman, B. (2021). Wetland Classification Using Simulated NISAR Data: a case study in Louisiana. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
    Paper / Peer-reviewed

  • Anconitano, G., Lavalle, M. & Pierdicca, N. (2021). Sensitivity to Soil Moisture Over an Agricultural Area by Exploiting a Model-Based Polarimetric Decomposition. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
    Paper / Peer-reviewed

  • Anconitano, G., Lavalle, M., Arabini, E. & Pierdicca, N. (2021). Sensitivity to soil moisture by applying a model-based polarimetric decomposition to a time-series of airborne radar L-band data over an agricultural area. Microwave Remote Sensing: Data Processing and Applications.
    Paper / Peer-reviewed

  • Brancato, V. & Fattahi, H. (2021). UAVSAR Observations of InSAR Polarimetric Phase Diversity: Implications for NISAR Ionospheric Phase Estimation. Earth and Space Science 8.
    Paper / Peer-reviewed

  • Chapman, B., Russo, I.M., Galdi, C., Morris, M., di Bisceglie, M., Zuffada, C. & Lavalle, M. (2021). Comparison of Sar and CYGNSS Surface Water Extent Metrics Over the Yucatan Lake Wetland Site. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
    Paper / Peer-reviewed

  • Chapman, B., Siqueira, P., Saatchi, S., Simard, M. Kellndorfer, J. (2019). Initial results from the 2019 NISAR Ecosystem Cal/Val Exercise in the SE USA. Geoscience and Remote Sensing (IGARSS), IEEE International Symposium, Yokohama, Japan
    Paper / Peer-reviewed

  • Chapman, B.D., Russo, I.M., Galdi, C., Morris, M., di Bisceglie, M., Zuffada, C., Downs, B., Lavalle, M., Loria, E. & OaBrien, A.J. (2022). Comparison of SAR and CYGNSS Surface Water Extent Metrics. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, 3235–3245.
    Paper / Peer-reviewed

  • Downs, B., Aristizabal, F., Lavalle, M., Chapman, B., Russo, M., Bisceglie, M., Galdi, C., O'Brien1, A., and Zuffada, C., "Observing Dynamic Flooding on Short Timescales by Combining GNSS-R and Height Above Nearest Drainage," AGU Fall Meeting, New Orleans, USA, 2021
    Abstract

  • Downs, B., Chapman, B., Russo, I.M., Lavalle, M., di Bisceglie, M., Galdi, C., Morris, M., O’Brien, A. & Zuffada, C. (2021). Leveraging Nisar Activities to Support CYGNSS Wetlands Calibration & Validation. 2021 IEEE Specialist Meeting on Reflectometry using GNSS and other Signals of Opportunity (GNSS+R).
    Paper / Peer-reviewed

  • Huang, X., Reba, M., Coffin, A., Runkle, B.R.K., Huang, Y., Chapman, B., Ziniti, B., Skakun, S., Kraatz, S., Siqueira, P. & Torbick, N. (2021). Cropland mapping with L-band UAVSAR and development of NISAR products. Remote Sensing of Environment 253, 112180.
    Paper / Peer-reviewed

  • Huang, X., Runkle, B.R.K., Isbell, M., Moreno-Garca, B., McNairn, H., Reba, M.L. Torbick, N. (2021). Rice Inundation Assessment Using Polarimetric UAVSAR Data. Earth and Space Science 8.
    Paper / Peer-reviewed

  • Jensen, D., Cavanaugh, K.C., Simard, M., Christensen, A., Rovai, A. & Twilley, R. (2021). Aboveground biomass distributions and vegetation composition changes in Louisiana’s Wax Lake Delta. Estuarine, Coastal and Shelf Science 250, 107139.
    Paper / Peer-reviewed

  • Kalecinski, N., Skakun, S., Roger, J.C., and Vermote, E., "OPTICAL AND RADAR DATA SYNERGIE TO CAPTURE INTRA/INTER FIELD YIELD VARIABILITY," AGU Fall Meeting, New Orleans, USA, 2021
    Abstract

  • Khati, U., Lavalle, M., Shiroma, G.H.X., Meyer, V. & Chapman, B. (2020). Assessment of Forest Biomass Estimation from Dry and Wet SAR Acquisitions Collected during the 2019 UAVSAR AM-PM Campaign in Southeastern United States. Remote Sensing 12, 3397.
    Paper / Peer-reviewed

  • Kraatz S., Rose S.R, Cosh M.H, and Siqueira P."NISAR UAVSAR AM-PM Campaign: An evaluation of UAVSAR L-Band Radar Over Agricultural and Forested Areas for Crop Identification and Biomass Estimation", AGU Fall Meeting, San Francisco, USA, 2019
    Abstract

  • Kraatz, S., Rose, S., Cosh, M.H., Torbick, N., Huang, X. & Siqueira, P. (2021). Performance Evaluation of UAVSAR and Simulated NISAR Data for Crop/Noncrop Classification Over Stoneville, MS. Earth and Space Science 8.
    Paper / Peer-reviewed

  • Kraatz, S., Siqueira, P. & Rose, S. (2020). ISCE Docker Tools: Automated Radiometric Terrain Correction and Image Coregistration of Uavsar MLC Data. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.
    Paper / Peer-reviewed

  • Kraatz, S., Siqueira, P., Kellndorfer, J., Torbick, N., Huang, X. & Cosh, M. (2022). Evaluating the robustness of NISAR’s cropland product to time of observation, observing mode and dithering. Earth and Space Science.
    Paper / Peer-reviewed

  • Marco Lavalle, Unmesh Khati, Gustavo Shiroma, and Bruce Chapman (2020). Assessment of PolSAR and InSAR Time-Series from the 2019 NASA AM-PM Campaign for Above-Ground Biomass Estimation. Geoscience and Remote Sensing (IGARSS), IEEE International Symposium.
    Abstract / Peer-reviewed

  • Rosen, P., and Meyer, F., "The NISAR ASF Partnership: Thick as Thieves and Tied at the Hip for Open Science," AGU Fall Meeting, New Orleans, USA, 2021
    Abstract

  • Siqueira, P., and Kraatz, S., "Evaluation of time-dependent features in the Ecosystems UAVSAR interferometric data from NISAR's AM/PM campaign," AGU Fall Meeting, Online, 2020
    Abstract