Back to Search Start Over

Remote Sensing of Land Surface Phenology: Editorial.

Authors :
Ma, Xuanlong
Jin, Jiaxin
Zhu, Xiaolin
Zhou, Yuke
Xie, Qiaoyun
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