@inproceedings{a059c79e450f4272be82eefe7186868a,
title = "Monitoring key agricultural crops in the Netherlands using sentinel-1",
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.",
keywords = "Agriculture, Crop monitoring, Radar, SAR, Vegetation, ITC-CV",
author = "Steele-Dunne, {S. C.} and S. Khabbazan and Vermunt, {P. C.} and {Ratering Arntz}, L. and C. Marinetti and L. Iannini and K. Westerdijk and {Van Der Sande}, C.",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, IGARSS ; Conference date: 22-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "31",
doi = "10.1109/IGARSS.2018.8518953",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "IEEE",
pages = "6639--6642",
booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",
address = "United States",
}