TY - JOUR
T1 - Corrigendum to “A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States”[ISPRS J. Photogram. Rem. Sens. 139 (2018) 255--271]
AU - Byrd, Kristin B
AU - Ballanti, Laurel
AU - Thomas, Nathan
AU - Nguyen, Dung
AU - Holmquist, James R
AU - Simard, Marc
AU - Windham-Myers, Lisamarie
PY - 2020/6/8
Y1 - 2020/6/8
N2 - The authors regret that two thirds of the San Francisco Bay biomass data included in the Landsat random forest models were not scaled to the proper units of grams per square meter. This error affects the Landsat-only models in the article, which are models #1-4 shown in Table 6. The authors have thoroughly investigated the error and found that the final random forest model, including the selected dependent and independent variables, is still the most appropriate model for representing CONUS-wide tidal marsh aboveground biomass and carbon (C). Using the properly scaled biomass data we have corrected remote sensing-based estimates of tidal marsh aboveground biomass and C stocks, and we have corrected Tables 4, 6, 7 and 8 and Figures 5, 6, and 9 of the original article.
AB - The authors regret that two thirds of the San Francisco Bay biomass data included in the Landsat random forest models were not scaled to the proper units of grams per square meter. This error affects the Landsat-only models in the article, which are models #1-4 shown in Table 6. The authors have thoroughly investigated the error and found that the final random forest model, including the selected dependent and independent variables, is still the most appropriate model for representing CONUS-wide tidal marsh aboveground biomass and carbon (C). Using the properly scaled biomass data we have corrected remote sensing-based estimates of tidal marsh aboveground biomass and C stocks, and we have corrected Tables 4, 6, 7 and 8 and Figures 5, 6, and 9 of the original article.
KW - tidal marsh
KW - aboveground carbon stocks
KW - United States
KW - biomass data
KW - corrigendum
U2 - 10.1016/j.isprsjprs.2020.05.005
DO - 10.1016/j.isprsjprs.2020.05.005
M3 - Article (journal)
SN - 1872-8235
VL - 166
SP - 63
EP - 67
JO - ISPRS Journal of Photogrammetry and Remote Sensing
JF - ISPRS Journal of Photogrammetry and Remote Sensing
ER -