( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
A Semi-Empirical Model to Estimate Biophysical Parameters in Southern Mexico.

, , , , , и . IGARSS, стр. 5344-5347. IEEE, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

No persons found for author name Goita, Kalifa
add a person with the name Goita, Kalifa
 

Другие публикации лиц с тем же именем

A forest map updating expert system based on the integration of low level image analysis and photointerpretation techniques., , , , и . IGARSS, стр. 1618-1620. IEEE, (2002)Assessment of the SMAP L3/AP soil moisture product using international ground observation network., , и . IGARSS, стр. 3082-3085. IEEE, (2016)Evaluation of polarimetric decomposition for soil moisture retrieval over vegetated agricultural fields., , , , и . IGARSS, стр. 689-692. IEEE, (2015)Impact of Uncertainty Estimation of Hydrological Models on Spectral Downscaling of GRACE-Based Terrestrial and Groundwater Storage Variation Estimations., , и . Remote. Sens., 15 (16): 3967 (августа 2023)Potential of L- and C- Bands Polarimetric SAR Data for Monitoring Soil Moisture over Forested Sites., , , , и . Remote. Sens., 14 (21): 5317 (2022)Understanding the dynamic of a tropical forest located in Southern Mexico using remotely sensed data., , , , , , , , , и . IGARSS, стр. 3826-3829. IEEE, (2016)Empirical model for surface soil moisture estimation over wheat fields using C-band polarimetric SAR., , и . IGARSS, стр. 1695-1698. IEEE, (2016)Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and Preliminary Results., , , , , , , , , и 12 other автор(ы). IEEE Trans. Geosci. Remote. Sens., 51 (1): 347-363 (2013)Surface temperature and emissivity separability over land surface from combined TIR and SWIR AVHRR data., и . IEEE Trans. Geosci. Remote. Sens., 35 (3): 718-733 (1997)Downscaling SMOS derived soil moisture for very wet conditions using a physically based approach., , , , , и . IGARSS, стр. 3198-3201. IEEE, (2014)