A rule-based approach for crop identification using multi-temporal and multi-sensor phenological metrics-Reference-Cited by-同舟云学术

A rule-based approach for crop identification using multi-temporal and multi-sensor phenological metrics

Published:2018-01-01 Issue:1 Volume:51 Page:511-524
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Ghazaryan Gohar¹²,Dubovyk Olena¹²,Löw Fabian³,Lavreniuk Mykola⁴,Kolotii Andrii⁴^ORCID,Schellberg Jürgen¹⁵,Kussul Nataliia⁴

Affiliation:

1. Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn, Bonn, Germany

2. Remote Sensing Research Group (RSRG), University of Bonn, Germany

3. MapTailor Geospatial Consulting GbR, Bonn, Germany

4. Department of Space Information Technologies and Systems, Space Research Institute of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kyiv, Ukraine

5. Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany

Funder

Bundesministerium für Wirtschaft und Energie

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2018.1455540

Reference52 articles.

1. A new method for crop classification combining time series of radar images and crop phenology information

2. A review of assessing the accuracy of classifications of remotely sensed data

3. Quantifying the Impacts of Environmental Factors on Vegetation Dynamics over Climatic and Management Gradients of Central Asia

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