Conference Paper (published)

Using C-Band SAR and Temperature to Monitor Tropical Agricultural Fields

Details

Citation

Silva C, Marino A & Cameron I (2021) Using C-Band SAR and Temperature to Monitor Tropical Agricultural Fields. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020), Waikoloa, HI, USA, 26.09.2020-02.10.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/igarss39084.2020.9324542

Abstract
This manuscript presents the analysis and a methodology for monitoring asparagus crops from remote sensing observations in a tropical region, where the meteorological conditions change considerably between production cycles. We use data provided by the Sentinel-1 satellite and temperature from a ground station to show how particularly the VH polarisation can be used for crop monitoring in order to visualise the canopy formation, the growth rate and canopy biomass, revealing high dependencies on temperature. We also present a multi-output machine learning regression algorithm trained on a rich spatio-temporal dataset in which each output estimates the number of asparagus stems that are present in each of the pre-defined crop phenological stages. We present the results of two separate scenarios: Using a single SAR image plus temperature as input for the algorithm and using multitemporal SAR data. Results show that the methodology presented is able to retrieve each individual monitored variable when using temperature as predictor with coefficients of determination (R 2 ) above 0.85. Further research is currently investigating the added value of multitemporal SAR data to complement the predictions and potentially replace the temperature feature.

Keywords
Agriculture; Backscatter; Temperature sensors; Synthetic aperture radar; Monitoring; Temperature measurement; Temperature distribution

StatusPublished
FundersUK Space Agency
Publication date31/12/2021
Publication date online17/02/2021
URLhttp://hdl.handle.net/1893/32554
PublisherIEEE
Place of publicationPiscataway, NJ, USA
ISSN of series2153-7003
ISBN9781728163758
eISBN9781728163741
Conference2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020)
Conference locationWaikoloa, HI, USA
Dates

People (2)

Dr Armando Marino

Dr Armando Marino

Associate Professor, Biological and Environmental Sciences

Dr Cristian Jose Silva Perez

Dr Cristian Jose Silva Perez

Radar Remote Sensing Scientist, Biological and Environmental Sciences

Files (1)