Towards routine mapping of crop emergence within the season using the Harmonized Landsat and Sentinel-2 dataset

F Gao, MC Anderson, DM Johnson, R Seffrin… - Remote Sensing, 2021 - mdpi.com
Crop emergence is a critical stage for crop development modeling, crop condition
monitoring, and biomass accumulation estimation. Green-up dates (or the start of the
season) detected from remote sensing time series are related to, but generally lag, crop
emergence dates. In this paper, we refine the within-season emergence (WISE) algorithm
and extend application to five Corn Belt states (Iowa, Illinois, Indiana, Minnesota, and
Nebraska) using routine harmonized Landsat and Sentinel-2 (HLS) data from 2018 to 2020 …

[PDF][PDF] Towards routine mapping of crop emergence within the growing season using the Harmonized Landsat and Sentinel-2 dataset

F Gao, M Anderson, D Johnson, R Seffren, B Wardlow… - 2021 - digitalcommons.unl.edu
Crop emergence is a critical stage for crop development modeling, crop condition
monitoring, and biomass accumulation estimation. Green-up dates (or the start of the
season) detected from remote sensing time series are related to, but generally lag, crop
emergence dates. In this paper, we refine the within-season emergence (WISE) algorithm
and extend application to five Corn Belt states (Iowa, Illinois, Indiana, Minnesota, and
Nebraska) using routine harmonized Landsat and Sentinel-2 (HLS) data from 2018 to 2020 …
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