Sugarcane growth monitoring through spatial cluster and temporal trend analysis of radar and optical remote sensing images

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

3 Citations (Scopus)

Abstract

During the 2014-2015 sugarcane growth season in São Paulo, Brazil, a considerable dataset was acquired consisting of space-based remote sensing images from radar and optical sensors, together with intensive ground measurements. In this work, images from the Sentinel-1, Radarsat-2 and Landsat-8 satellites are used to test the effectiveness of satellite-based indicators in sugarcane growth monitoring. A two-fold hypothesis testing is applied, in order to find statistically significant emerging hot spots and cold spots, both in space and time. Especially the comparison of results from the radar and optical sensors gives an insight into the difference in capability of these sensors to detect spatial and temporal patterns and trends.

Original languageEnglish
Title of host publication2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages7141-7144
Number of pages4
Volume2016-November
ISBN (Electronic)9781509033324
DOIs
Publication statusPublished - 1 Nov 2016
Event36th IEEE International Geoscience and Remote Sensing Symposium - Beijing, China
Duration: 10 Jul 201615 Jul 2016
Conference number: 36

Conference

Conference36th IEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS 2016
CountryChina
CityBeijing
Period10/07/1615/07/16

Keywords

  • growth monitoring
  • hypothesis testing
  • optical
  • radar
  • Sugarcane

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