Crop Parameters Quantitative Retrieval and Monitoring with Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 70332
Special Issue Editors
Interests: crop type mapping; crop yield forecasting; data assimilation; crop growth models
Special Issues, Collections and Topics in MDPI journals
Interests: process modeling; optimization and control; remote sensing; artificial intelligence; machine learning; precision agriculture
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; data mining; data assimilation
Special Issues, Collections and Topics in MDPI journals
Interests: LiDAR application in vegetation; vegetation parameter retrieval; vegetation monitoring; hyperspectral remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The distribution of crop areas and crop growth status are of great importance to decision support in crop production management practices for sustainable agriculture development and global food security. Today, remote sensing has been extensively used to monitor agricultural fields for crop field mapping, real-time estimation of crop growth status, determination of crop phenology, and crop yield estimation or forecasting. Various quantitative retrievals with remote sensing approaches can be used to improve crop monitoring and yield forecasting. Advanced algorithms can be developed for improved crop classification (e.g., long-term and high-resolution crop maps for maize and soybean), time series fitting for phenology detection, and crop growth parameter estimation. Applications can be at the global, national, regional, farm or field level, such as county-level yield prediction under conditions such as urbanization, climate change, and agricultural emissions, which can be conducted by quantitative remote sensing in crop growth models.
Prof. Dr. Jianxi Huang
Prof. Dr. Yanbo Huang
Dr. Qingling Wu
Prof. Dr. Wei Su
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- remote sensing
- crop production
- crop phenology
- crop type mapping
- time series analysis
- crop growth models
- data assimilation
- climate change
- crop disaster monitoring
- crop parameters retrieval
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.