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Remote Sensing of Land Surface Phenology: Editorial.
- Source :
-
Remote Sensing . Sep2022, Vol. 14 Issue 17, p4310. 5p. - Publication Year :
- 2022
-
Abstract
- In addition, for low- and medium-resolution remote-sensing phenology products (e.g., MODIS/VIIRS), it is difficult even for UAVs or phenocams to provide validation data at the comparable pixel scale, in which case indirect "validation" can be performed using higher-spatial-resolution satellite data [[30]]. Land surface phenology (LSP) is an important research field in terrestrial remote sensing and has become an indispensable approach in global change research, as evidenced by many important scientific findings supported by LSP in recent decades. As such, we organized this Special Issue to cover the latest developments in sensor technologies, LSP retrieval algorithms and validation strategies, and the use of LSP products in a variety of fields. Recent advances in field and spaceborne sensor technologies, as well as data fusion techniques, have enabled novel LSP retrieval algorithms that refine LSP retrievals at even higher spatiotemporal resolutions, providing new insights into ecosystem dynamics. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 14
- Issue :
- 17
- Database :
- Academic Search Index
- Journal :
- Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 159034400
- Full Text :
- https://doi.org/10.3390/rs14174310