Huang, X.; Lin, S.; Li, X.; Ma, M.; Wu, C.; Yuan, W.
How Well Can Matching High Spatial Resolution Landsat Data with Flux Tower Footprints Improve Estimates of Vegetation Gross Primary Production. Remote Sens. 2022, 14, 6062.
https://doi.org/10.3390/rs14236062
AMA Style
Huang X, Lin S, Li X, Ma M, Wu C, Yuan W.
How Well Can Matching High Spatial Resolution Landsat Data with Flux Tower Footprints Improve Estimates of Vegetation Gross Primary Production. Remote Sensing. 2022; 14(23):6062.
https://doi.org/10.3390/rs14236062
Chicago/Turabian Style
Huang, Xiaojuan, Shangrong Lin, Xiangqian Li, Mingguo Ma, Chaoyang Wu, and Wenping Yuan.
2022. "How Well Can Matching High Spatial Resolution Landsat Data with Flux Tower Footprints Improve Estimates of Vegetation Gross Primary Production" Remote Sensing 14, no. 23: 6062.
https://doi.org/10.3390/rs14236062
APA Style
Huang, X., Lin, S., Li, X., Ma, M., Wu, C., & Yuan, W.
(2022). How Well Can Matching High Spatial Resolution Landsat Data with Flux Tower Footprints Improve Estimates of Vegetation Gross Primary Production. Remote Sensing, 14(23), 6062.
https://doi.org/10.3390/rs14236062