@article{fdi:010076480,
  title = {{G}round data are essential for biomass remote sensing missions},
  author = {{C}have, {J}. and {D}avies, {S}. {J}. and {P}hillips, {O}. {L}. and {L}ewis, {S}. {L}. and {S}ist, {P}. and {S}chepaschenko, {D}. and {A}rmston, {J}. and {B}aker, {T}. {R}. and {C}oomes, {D}. and {D}isney, {M}. and {D}uncanson, {L}. and {H}erault, {B}. and {L}abriere, {N}. and {M}eyer, {V}. and {R}{\'e}jou-{M}{\'e}chain, {M}axime and {S}cipal, {K}. and {S}aatchi, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}everal remote sensing missions will soon produce detailedcarbon maps over all terrestrial ecosystems. {T}hese missions are dependent on accurate and representative in situ datasets for the training of their algorithms and product validation. {H}owever, long-term ground-based forest-monitoring systems are limited, especially in the tropics, and to be useful for validation, such ground-based observation systems need to be regularly revisited andmaintained at least over the lifetime of the planned missions. {H}ere we propose a strategy for a coordinated and global network of in situ data that would benefit biomass remote sensing missions. {W}e propose to build upon existing networks of long-term tropical forest monitoring.{T}o produce accurate ground-based biomass estimates, strict data quality must be guaranteed to users. {I}t is more rewarding to invest ground resources at sites where there currently isassurance of a long-term commitment locally and where a core set of data is already available. {W}e call these supersites'. {L}ong-term funding for such an inter-agency endeavour remains an important challenge, and we here provide costing estimates to facilitate dialogue among stakeholders. {O}ne critical requirement is to ensure in situ data availability over the lifetime of remote sensing missions. {T}o this end, consistent guidelines for supersite selection and management are proposed within the {F}orest {O}bservation {S}ystem, long-term funding should be assured, andprincipal investigators of the sites should be activelyinvolved.},
  keywords = {{B}iomass ; {C}alibration ; {F}orest ; {I}n situ data ; {V}alidation},
  booktitle = {},
  journal = {{S}urveys in {G}eophysics},
  volume = {40},
  numero = {4},
  pages = {863--880},
  ISSN = {0169-3298},
  year = {2019},
  DOI = {10.1007/s10712-019-09528-w},
  URL = {https://www.documentation.ird.fr/hor/fdi:010076480},
}