Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data-Reference-Cited by-同舟云学术

Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data

Published:2023-10-02 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Radulović Mirjana¹^ORCID,Brdar Sanja¹^ORCID,Pejak Branislav¹^ORCID,Lugonja Predrag¹^ORCID,Athanasiadis Ioannis²^ORCID,Pajević Nina¹^ORCID,Pavić Dragoslav³^ORCID,Crnojević Vladimir¹^ORCID

Affiliation:

1. BioSense Institute - the Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, Serbia

2. Geo-Information Science and Remote Sensing Lab, Wageningen University and Research Centre, Wageningen, Netherlands

3. Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia

Funder

Provincial Secretariat for Higher Education and Scientific Research of Vojvodina

Ministry of Education, Science and Technological Development of the Republic of Serbia

Horizon 2020

Wageningen University

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2262010

Reference82 articles.

1. Remotely sensed high resolution irrigated area mapping in India for 2000 to 2015

2. Transfer learning approach based on satellite image time series for the crop classification problem

3. An Analysis of Query Similarity in Collaborative Web Search

4. Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain

5. Remote Sensing and Cropping Practices: A Review

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