An improved method for estimating soil moisture over cropland using SAR and optical data
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-00996-8.pdf
Reference36 articles.
1. Aubert M, Baghdadi N, Zribi M, Douaoui A, Garrigues S (2011) Analysis of terrasar-x data sensitivity to bare soil moisture, roughness, composition and soil crust. Remote Sens. Environ. 115(8):1801–1810. https://doi.org/10.1016/j.rse.2011.02.021
2. Baghdadi N, Cresson R, El Hajj M, Ludwig R, La Jeunesse I (2012) Estimation of soil parameters over bare agriculture areas from C-band polarimetric SAR data using neural networks. Hydrology and Earth System Sciences 16:1607–1621. https://doi.org/10.5194/hess-16-1607-2012
3. Balenzano A, Mattia F, Satalino G, Davidson MW (2011) Dense temporal series of C and L-band SAR data for soil moisture retrieval over agricultural crops. IEEE J. Select. Top. Appl. Earth Observations Remote Sens. 4:439–450. https://doi.org/10.1109/JSTARS.2010.2052916
4. Balenzano A, Satalino G, Lovergine F, Rinaldi M, Iacobellis V, Mastronardi N, Mattia F (2013) On the use of temporal series of L-and X-band SAR data for soil moisture retrieval. Capitanata plain case study. Eur. J. Remote Sensing 46:721–737. https://doi.org/10.5721/EuJRS20134643
5. Bauer-Marschallinger B, Freeman V, Cao S et al (2018) Toward global soil moisture monitoring with Sentinel-1: harnessing assets and overcoming obstacles. IEEE Trans. Geosci. Remote Sens. 57(1):520–539. https://doi.org/10.1109/TGRS.2018.2858004
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