@article{fdi:010095799,
  title = {{M}onitoring mangroves with multi-sensor {E}arth {O}bservation data sets: from one-shot historical cartography to online and near-real-time monitoring tools},
  author = {{B}lanchard, {E}. and {C}atry, {T}hibault and {M}arsal, {Q}uentin and {D}ela{\^i}tre, {E}ric and {P}roisy, {C}hristophe and {F}aure, {J}ean-{F}ran{\c{c}}ois},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his study outlines advancements in mangrove monitoring using {E}arth {O}bservation ({EO}) technologies, highlighting a transition from historical cartography to modern, near-real-time monitoring systems. {M}angroves, critical for biodiversity, climate regulation, and coastal protection, face threats from climate change and human activities. {T}he need for accurate and recurrent mapping tools is emphasized, addressing the limitations of current global datasets like the {G}lobal {M}angrove {W}atch ({GMW}) by incorporating high-resolution data and field measurements. {T}he {F}rench {N}ational {R}esearch {I}nstitute for {S}ustainable {D}evelopment ({IRD}) has pioneered mangrove monitoring since the 1990s, with key methodologies including the use of {S}entinel-2 and {P}leiades satellite imagery for high-resolution mapping, texture-based analysis, and the incorporation of {L}i{DAR} data for accurate biomass estimation. {H}istorical cartography is contrasted with contemporary monitoring efforts, focusing on the integration of multi-source data and the importance of localized ground-truthing. {T}his approach enhances the capabilities of earth observation for carbon stock assessments and supports informed decision-making in conservation and climate policy. {T}he work also highlights the need for further integration of local knowledge and advanced {EO} sensor data to refine carbon sequestration models and improve mangrove management strategies.},
  keywords = {{M}angrove ; {S}entinel-2 ; {P}leiades ; extent ; texture ; structural types ; {MADAGASCAR}},
  booktitle = {},
  journal = {{I}nternational {A}rchives of the {P}hotogrammetry, {R}emote {S}ensing and {S}patial {I}nformation {S}ciences},
  volume = {{XLVIII}-3-2024},
  numero = {},
  pages = {35--41},
  ISSN = {1682-1750},
  year = {2024},
  DOI = {10.5194/isprs-archives-{XLVIII}-3-2024-35-2024},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095799},
}