New Insights in Crop Monitoring and Management Using Remote Sensing Data
A Special Issue titled 'New Insights in Crop Monitoring and Management Using Remote Sensing Data' was launched in November 2022. It invited scientific contributions focused on the quantitative assessment of crop growth, management, and yield using innovative and integrated remote sensing techniques....
Sábháilte in:
| Formáid: | Online |
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| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20260416T142754_9783725858699_46 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869515018889854976 |
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| collection | Directory of Open Access Books |
| description | A Special Issue titled 'New Insights in Crop Monitoring and Management Using Remote Sensing Data' was launched in November 2022. It invited scientific contributions focused on the quantitative assessment of crop growth, management, and yield using innovative and integrated remote sensing techniques. To date, it has published 11 peer-reviewed research articles covering topics such as crop growth trajectory reconstruction, the retrieval of biophysical traits of leaves and crop canopies, crop aboveground biomass and yield prediction, and field irrigation amount estimation. The contributors come from research institutes and universities distributed in Russia, Canada, Brazil, Turkey, Germany, and the USA. Scholars from Xinjiang University proposed new algorithms to reconstruct Landsat EVI time series of crop growth seasons that are strongly polluted by clouds. Dr. Konstantin Muzalevskiy effectively estimated wheat height and aboveground biomass jointly using the MHz- and GHz-frequency band impulses when employing contactless ground penetration radar (GPR). A paper published in May of 2024 explored the use of VIS-NIR-SWIR hyperspectral and chlorophyll a fluorescence sensors to predict leaf structures and compounds and has received nine citations. An article estimating the aboveground biomass of winter wheat using a three-dimensional conceptual model with the help of UAV remote sensing images has 20 citations. This issue has garnered significant attention from agronomists, ecologists, and remote sensing scientists, as evidenced by its 30,569 web views. |
| format | Online |
| id | doab-20.500.12854ir-175041 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1750412026-04-16T18:26:45Z New Insights in Crop Monitoring and Management Using Remote Sensing Data Ko, Jonghan Xue, Wei Li, Xinwei Crop growth Crop monitoring Crop management Remote sensing thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences A Special Issue titled 'New Insights in Crop Monitoring and Management Using Remote Sensing Data' was launched in November 2022. It invited scientific contributions focused on the quantitative assessment of crop growth, management, and yield using innovative and integrated remote sensing techniques. To date, it has published 11 peer-reviewed research articles covering topics such as crop growth trajectory reconstruction, the retrieval of biophysical traits of leaves and crop canopies, crop aboveground biomass and yield prediction, and field irrigation amount estimation. The contributors come from research institutes and universities distributed in Russia, Canada, Brazil, Turkey, Germany, and the USA. Scholars from Xinjiang University proposed new algorithms to reconstruct Landsat EVI time series of crop growth seasons that are strongly polluted by clouds. Dr. Konstantin Muzalevskiy effectively estimated wheat height and aboveground biomass jointly using the MHz- and GHz-frequency band impulses when employing contactless ground penetration radar (GPR). A paper published in May of 2024 explored the use of VIS-NIR-SWIR hyperspectral and chlorophyll a fluorescence sensors to predict leaf structures and compounds and has received nine citations. An article estimating the aboveground biomass of winter wheat using a three-dimensional conceptual model with the help of UAV remote sensing images has 20 citations. This issue has garnered significant attention from agronomists, ecologists, and remote sensing scientists, as evidenced by its 30,569 web views. 2026-04-16T18:26:36Z 2026-04-16T18:26:36Z 2025 book ONIX_20260416T142754_9783725858699_46 9783725858699 9783725858705 https://directory.doabooks.org/handle/20.500.12854/175041 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11941 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5870-5 10.3390/books978-3-7258-5870-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725858699 9783725858705 232 CH open access |
| spellingShingle | Crop growth Crop monitoring Crop management Remote sensing thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences New Insights in Crop Monitoring and Management Using Remote Sensing Data |
| title | New Insights in Crop Monitoring and Management Using Remote Sensing Data |
| title_full | New Insights in Crop Monitoring and Management Using Remote Sensing Data |
| title_fullStr | New Insights in Crop Monitoring and Management Using Remote Sensing Data |
| title_full_unstemmed | New Insights in Crop Monitoring and Management Using Remote Sensing Data |
| title_short | New Insights in Crop Monitoring and Management Using Remote Sensing Data |
| title_sort | new insights in crop monitoring and management using remote sensing data |
| topic | Crop growth Crop monitoring Crop management Remote sensing thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| topic_facet | Crop growth Crop monitoring Crop management Remote sensing thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences |
| url | ONIX_20260416T142754_9783725858699_46 |