Monitoring key agricultural crops in the Netherlands using sentinel-1

S. C. Steele-Dunne, S. Khabbazan, P. C. Vermunt, L. Ratering Arntz, C. Marinetti, L. Iannini, K. Westerdijk, C. Van Der Sande

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

In this study, we performed ground validation to support the interpretation of Sentinel-1 imagery during a full growing season of five key crop types in the Netherlands. Crop height and growth stage were monitored weekly in a total of 25 parcels of maize, potato, sugar beet maize and English rye grass in the province of Flevoland. Hydrometeorological data were collected throughout the season. Here, these results are used to interpret time series of Sentinel-1 data processed for the province of Flevoland. Results demonstrate that Sentinel-1 data follow the phenological stages and can be used to identify key moments in crop development. Combined with the guaranteed availability of observations regardless of cloud cover, this makes Sentinel-1 data a valuable resource for agencies and commercial entities providing advice to farmers and agro-industrial co-operatives.

Original languageEnglish
Title of host publication2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PublisherIEEE
Pages6639-6642
Number of pages4
ISBN (Electronic)9781538671504
DOIs
Publication statusPublished - 31 Oct 2018
Externally publishedYes
Event38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2018-July

Conference

Conference38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Abbreviated titleIGARSS
Country/TerritorySpain
CityValencia
Period22/07/1827/07/18

Keywords

  • Agriculture
  • Crop monitoring
  • Radar
  • SAR
  • Vegetation
  • ITC-CV

Fingerprint

Dive into the research topics of 'Monitoring key agricultural crops in the Netherlands using sentinel-1'. Together they form a unique fingerprint.

Cite this