Timely Mapping of Crop Stage and Watering Events Through Sentinel-L Time-Series

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

Abstract

Reliable and timely mapping of crop growth conditions and of their water resources is considered a prioritary application in light of the abrupt climate changes. With this view, the paper presents a novel approach that makes use of dense C-Band time-series for the timely estimation of crop growth stages and for the detection of changes in crop water conditions, especially related to precipitation and irrigation events. Aided by vegetation indexes extracted from Landsat and Sentinel-2 imagery, the proposed Sentinel-l centered method exploits both temporal patterns of crop growth and spatial patterns of water anomalies to enhance its classification robustness.
Original languageEnglish
Title of host publicationIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
EditorsJose Moreno
PublisherIEEE
Pages196-199
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

  • Synthetic Aperture Radar
  • C-Band, Sentinel
  • data assimilation
  • land cover mapping
  • soil
  • agriculture
  • precipitation
  • irrigation

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