The Effects of Sugarcane Productivity Anomalies on L-Band and C-Band SAR Signals

Ramses Molijn, Lorenzo Iannini, Carlos Wachholz de Souza, Diego Della Justina, Jansle Vieira Rocha, Ramon Hanssen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

SAR as an active remote sensing technique is capable of providing insights into the physical features of agricultural vegetation. However, the noisy nature of SAR signals makes the direct conversion to effective productivity metrics challenging. This study sheds light on the effect of gaps present in a sugarcane field on L-band and C-band SAR signals and demonstrates the variability of this effect with changing spatial averaging windows, changing precipitation conditions and changing vegetation height.
Original languageEnglish
Title of host publicationIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
EditorsJose Moreno
PublisherIEEE
Pages5371-5374
Volume2018
ISBN (Electronic)978-1-5386-7150-4
ISBN (Print)978-1-5386-7151-1
DOIs
Publication statusPublished - 2018
EventIGARSS 2018: 2018 IEEE International Geoscience and Remote Sensing Symposium: Observing, Understanding And Forecasting The Dynamics Of Our Planet - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018
Conference number: 38
https://www.igarss2018.org/

Conference

ConferenceIGARSS 2018: 2018 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS 2018
CountrySpain
CityValencia
Period22/07/1827/07/18
Internet address

Keywords

  • SAR signals
  • sugarcane gaps
  • precipitation
  • crop monitoring
  • spatial analysis

Fingerprint Dive into the research topics of 'The Effects of Sugarcane Productivity Anomalies on L-Band and C-Band SAR Signals'. Together they form a unique fingerprint.

  • Cite this

    Molijn, R., Iannini, L., Wachholz de Souza, C., Della Justina, D., Vieira Rocha, J., & Hanssen, R. (2018). The Effects of Sugarcane Productivity Anomalies on L-Band and C-Band SAR Signals. In J. Moreno (Ed.), IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (Vol. 2018, pp. 5371-5374). IEEE. https://doi.org/10.1109/IGARSS.2018.8519279