Multi-temporal phenological indices derived from time series Sentinel-1 images to country-wide crop classification

Author:

Woźniak Edyta,Rybicki Marcin,Kofman Wlodek,Aleksandrowicz Sebastian,Wojtkowski Cezary,Lewiński Stanisław,Bojanowski Jędrzej,Musiał Jan,Milewski Tomasz,Slesiński Przemysław,Łączyński Artur

Funder

National Centre for Research and Development

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference59 articles.

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2. Crop classification based on temporal signatures of Sentinel-1 observations over Navarre Province, Spain;Arias;Remote Sens.,2020

3. Baatz, M., Schäpe, A., 1999. Object-Oriented and Multi-Scale Image Analysis in Semantic Networks. In Proceedings of the 2nd International Symposium on Operationalization of Remote Sensing ITC, Enschede, The Netherlands, 16–20 August 1999.

4. Multi-temporal land-cover classification of agricultural areas in two European regions with high resolution spotlight TerraSAR-X data;Bargiel;Remote Sens.,2011

5. A new method for crop classification combining time series of radar images and crop phenology information;Bargiel;Remote Sens. Environ.,2017

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