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A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 31 May 2023 | Viewed by 13127
Special Issue Editors

Interests: hydropedology; precision agriculture; crop adaptation to climate change
Special Issues, Collections and Topics in MDPI journals

Interests: geodesy; ground deformations; synthetic aperture radar (SAR); interferometry SAR (InSAR) techniques; phase unwrapping; multi-track; satellite constellations
Special Issues, Collections and Topics in MDPI journals

Interests: data fusion; image and signal processing; automation target recognition; sub-pixel detection; spectral models across NIR-MIR regions
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The United Nations has proposed 17 sustainable development goals, which present a clear challenge to not only national governments but also a wide range of stakeholders. Every nation has to implement these goals to achieve the agreed targets by 2030. Most of these are focused on the biophysical management of environments while others more oriented to socio-economic focus. Still, in general, they are interconnected because to achieve goals with an ecosystem focus, we need to consider the socio-economic aspect.
For example, environmental sustainability depends on the actions of land users such as farmers and forest managers, but also urban developments have significant effects on local land use. The environmental changes are nowadays clearly detectable by using global Earth observation systems and remote sensing technologies. Every scientific discipline faces the challenge of acting upon these SDGs, and they have the responsibility to provide all stakeholders with information that allows them to make informed choices. In this context, we promote a special issue on "Monitoring Sustainable Development Goals" to support the achievement of SDGs and help the involved stakeholders. We encourage the submission of research papers that address the main topic of the special issue, including those based on the exploitation of geospatial data. Among other, we expect contributions that can cover multi-disciplinary aspects such as i) the preservation of the natural heritage, ii) the sustainable development, iii) the improvement of the social resilience to environmental changes, iv) the application and development of geospatial techniques for the monitoring of land-use/land-changes, v) the socio-economical impacts of global climate changes.
Dr. Antonello Bonfante
Dr. Anna Brook
Dr. Antonio Pepe
Guest Editor
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 2500 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
- Sustainable development goals SDGs
- remote sensing
- agriculture
- environmental monitoring
- land evaluation
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Hyperspectral vegetation indices to assess water and nitrogen status of sweet maize crop
Authors: Rossella Albrizio
Affiliation: Rossella AlbrizioNational Research Council of Italy, Institute for Agricultural and Forestry Systems in the Mediterranean (CNR–ISAFOM), Via Patacca, 85, 80056 Ercolano, NA, Italy
Abstract: In response to climate change and the potential scarcity of water and nutrient resources, deploying innovative adaptation technologies in the field of precision farming has risen to the top of global agendas. In accordance, hyperspectral proximal and remote sensing techniques provide rapid and non-invasive monitoring of water and nitrogen stress of vegetation.
The present research draws on assessing the performance of water and nitrogen sensitive narrow-band vegetation indices to evaluate sweet maize (Zea mays var. saccharate L.) response to different irrigation and nitrogen regimes.
The trials were performed in Southern Italy during the 2020 growing season. Three irrigation regimes (full irrigation, deficit irrigation, and rainfed) and two nitrogen levels (300 and 50 kg/ha) were evaluated for this purpose. The spectral data were acquired during the growing season using a Field Spec Handheld 2 spectroradiometer, operating in 325 -1075 nm. Simultaneously, soil water content, biometric parameters, and physiological parameters (chlorophyll content, relative water content, net assimilation rate, stomatal conductance, and transpiration rate) were also measured.
The results show that the DATT index, based on the near-infrared and red-edge wavelengths, performed better than other VIs in explaining the variability in chlorophyll content (CC). In contrast, the Double Difference Index (DDI) was best correlated with biomass and gas-exchange data. Moreover, ANOVA revealed that the Merris terrestrial chlorophyll index (MTCI) displayed a remarkable ability to differentiate the interaction between water and nitrogen treatments. Additionally, irrigation significantly affected vegetation indices with the highest significance for Water-Based Index (WBI), while nitrogen affected mainly MTCI.
This study highlights that narrow-band vegetation indices represent an appropriate tool for monitoring plant response to water and nitrogen stresses with high potentiality for application in sustainable crop management.