Understanding SAOCOM

References and Links

Chapter 1


1.1 CONAE

1.2 Cooperation between Argentina and Europe in the field of space flight and Earth observation

1.3 Cooperation between Argentina and Europe in the field of space flight and Earth observation

Chapter 2


2.1 The Satellite

2.2 The SAR

2.3 The Future

Chapter 3


3.1 Overview

ESA Third Party Missions Programme:
https://earth.esa.int/eogateway/missions/third-party-missions

Data Base with information and links to ESA TPM Sensors and Datasets:
https://earth.esa.int/eogateway/search?category=Missions&mission_programme=third+party+missions&sortby=RELEVANCE

3.2 Excursus on Electromagnetic Waves

Chapter 4


4.1 Applications of SAOCOM data

  • Aoki, Y., Furuya, M., De Zan, F., Doin, M.-P., Eineder, M., Ohki, M., Wright, T.J., 2021. L-band Synthetic Aperture Radar: Current and future applications to Earth sciences. Earth Planets Space 73, 56, s40623-021-01363–x. https://doi.org/10.1186/s40623-021-01363-x
  • ESA 14.03.2023: https://earth.esa.int/eogateway/news/researchers-called-to-explore-new-applications-of-saocom-data
  • Pettinato, S., Bovenga, F., Santi, E., Paloscia, S., Baroni, F., Belmonte, A., Refice, A., Argentiero, I., Colombo, R., Di Mauro, B., 2022. Monitoring of snow water equivalent and snowmelt through space-borne synthetic aperture radar techniques, in: 2022 52nd European Microwave Conference (EuMC). IEEE, pp. 91–94. https://doi.org/10.23919/EuMC54642.2022.9924399
  • Lupi, A. M., xxxx, Ciencia y Tecnología Forestal en Argentina / Ana María Lupi ; Cristina Area ; Patricia Escobar. – 1a ed. – Ciudad Autónoma de Buenos
  • Machado, F., Solorza, R., 2020. Feasibility of the inversion of electromagnetic models to estimate soil salinity using SAOCOM data, in: 2020 IEEE Congreso Bienal de Argentina (ARGENCON). IEEE, pp. 1–8. https://doi.org/10.1109/ARGENCON49523.2020.9505383
  • Salvó, C.S., Gomez Saez, L., Arce, J.C., 2023. Multi-band SAR intercomparison study in the Antarctic Peninsula for sea ice and iceberg detection. Frontiers in Marine Science 10, 1255425. https://doi.org/10.3389/fmars.2023.1255425
  • Seppi, S.A., López-Martinez, C., Joseau, M.J., 2022. Assessment of L-Band SAOCOM InSAR Coherence and Its Comparison with C-Band: A Case Study over Managed Forests in Argentina. Remote Sensing 14, 5652. https://doi.org/10.3390/rs14225652

Chapter 5


5.3 Working with Vegetation Indices

  • Kim, Y., Van Zyl, J.J., 2009. A time-series approach to estimate soil moisture using polarimetric radar data. IEEE Transactions on Geoscience and Remote Sensing 47, 2519–2527.
  • Nasirzadehdizaji, R., Balik Sanli, F., Abdikan, S., Cakir, Z., Sekertekin, A., Ustuner, M., 2019. Sensitivity analysis of multi-temporal Sentinel-1 SAR parameters to crop height and canopy coverage. Applied Sciences 9, 655.

Further Tutorials on SAOCOM

SAOCOM-1 Tutorials
https://catalogos.conae.gov.ar/catalogo/catalogoSatSaocomDocs.html

Example of SAOCOM processing with ISCE
https://up-rs-esp.github.io/posts/2020/11/SAOCOM-Ifgs-and-ISCE/