Cristian Silva-Perez

Orcid: 0000-0002-6843-5022

Affiliations:
  • University of Stirling, Biological and Environmental Sciences, UK


According to our database1, Cristian Silva-Perez authored at least 11 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Using Quad-Polarimetric SAR (ALOS-2) to Monitor Wetness of Bogs in Scotland and Sweden.
Proceedings of the IGARSS 2024, 2024

2023
Assessment of the Impact of Surface Water Content for Temperate Forests in SAR Data at C-Band.
Remote. Sens., December, 2023

Peatland Water Table Depth Monitoring Using Quad-Pol L-Band Sar.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Towards Automated Monitoring Of Glacial Lakes In Hindu Kush And Himalayas Using Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

DTS Data Correlation Analysis for Environmental Monitoring and Infrastructure Protection.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022
Learning-Based Tracking of Crop Biophysical Variables and Key Dates Estimation From Fusion of SAR and Optical Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021
Multitemporal Polarimetric SAR Change Detection for Crop Monitoring and Crop Type Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020
Monitoring Agricultural Fields Using Sentinel-1 and Temperature Data in Peru: Case Study of Asparagus (Asparagus officinalis L.).
Remote. Sens., 2020

Agricultural Fields Monitoring with Multi-Temporal Polarimetric SAR (MT-POLSAR) Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Using C-Band SAR and Temperature to Monitor Tropical Agricultural Fields.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018
Monitoring Agricultural Fields Using an Optimisation of the Difference of Covariance Matrices for Polsar.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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