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

By Damian Bargiel. 2017

264 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/9ce5619f5587a15b3e4ccada538d03c7c56b0137

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Dipankar Mandal
2. Narayanarao Bhogapurapu
3. S. Dey
4. J. Lopez-Sanchez
5. H. Mcnairn
6. Y. S. Rao
7. C. López-Martínez

Citations in the corpus

• Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment (2021, background): “Schlund and Erasmi75 (2020) demonstrated the sensitivity of interferometric phase information to76 estimate the dates of different phenology stages of wheat.77 Information about phenological status can increase crop classification ac-78 curacy (Bargiel, 2017; Li et al., 2019).”