Advanced search
Publication Cover
European Journal of Remote Sensing Volume 49, 2016 - Issue 1
Submit an article Journal homepage
3,036
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Assessing in-season crop classification performance using satellite data: a test case in Northern Italy

Ramin AzarInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council (CNR), Via E. Bassini, 15, I-20133, Milan, Italy
,
Paolo VillaInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council (CNR), Via E. Bassini, 15, I-20133, Milan, ItalyCorrespondence[email protected]
,
Daniela StroppianaInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council (CNR), Via E. Bassini, 15, I-20133, Milan, Italy
,
Alberto CremaInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council (CNR), Via E. Bassini, 15, I-20133, Milan, Italy
,
Mirco BoschettiInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council (CNR), Via E. Bassini, 15, I-20133, Milan, Italy
&
Pietro Alessandro BrivioInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council (CNR), Via E. Bassini, 15, I-20133, Milan, Italy
Pages 361-380 | Received 07 Mar 2016, Accepted 21 Jun 2016, Published online: 17 Feb 2017

Citations (5)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (5)

Luigi Ranghetti & Mirco Boschetti. (2022) Updated trends of water management practice in the Italian rice paddies from remotely sensed imagery. European Journal of Remote Sensing 55:1, pages 1-9.
Read now
G. D’Amico, S. Francini, F. Giannetti, E. Vangi, D. Travaglini, F. Chianucci, W. Mattioli, M. Grotti, N. Puletti, P. Corona & G. Chirici. (2021) A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery. GIScience & Remote Sensing 58:8, pages 1352-1368.
Read now
Huapeng Li, Ce Zhang, Yong Zhang, Shuqing Zhang, Xiaohui Ding & Peter M. Atkinson. (2021) A Scale Sequence Object-based Convolutional Neural Network (SS-OCNN) for crop classification from fine spatial resolution remotely sensed imagery. International Journal of Digital Earth 14:11, pages 1528-1546.
Read now
Rei Sonobe, Yuki Yamaya, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi & Kan-ichiro Mochizuki. (2017) Assessing the suitability of data from Sentinel-1A and 2A for crop classification. GIScience & Remote Sensing 54:6, pages 918-938.
Read now
Peijun Sun, Jinshui Zhang, Xiufang Zhu, Yaozhong Pan & Hongli Liu. (2017) A highly efficient temporal-spatial probability synthesized model from multi-temporal remote sensing for paddy rice identification. European Journal of Remote Sensing 50:1, pages 98-110.
Read now

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.