@article{fdi:010086812,
  title = {{I}nter-comparison of optical and {SAR}-based forest disturbance warning systems in the {A}mazon shows the potential of combined {SAR}-optical monitoring},
  author = {{P}rieto, {J}. {D}. and {L}ima, {L}. and {M}ermoz, {S}. and {B}ouvet, {A}lexandre and {R}eiche, {J}. and {W}atanabe, {M}. and {A}nna, {S}. {S}. and {S}himabukuro, {Y}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}ore than half a decade after the launch of the {S}entinel-1{A} {C}-band {SAR} satellite, several near real-time forest disturbances detection systems based on backscattering time series analysis have been developed and made operational. {E}very system has its own particular approach to change detection. {H}ere, we have compared the performance of the main {SAR}-based near real-time operational forest disturbance detection systems produced by research agencies ({INPE}, in {B}razil, {CESBIO}, in {F}rance, {JAXA}, in {J}apan, and {W}ageningen {U}niversity, in the {N}etherlands), and compared them to the state-of-the-art optical algorithm, {U}niversity of {M}aryland's {GLAD}-{S}2. {W}e implemented an innovative validation protocol, specially conceived to encompass all the analysed systems, which measured every system's accuracy and detection speed in four different areas of the {A}mazon basin. {T}he results indicated that, when parametrized equally, all the {S}entinel-1 {SAR} methods outperformed the reference optical method in terms of sample-count {F}1-{S}core, having comparable results among them. {T}he {GLAD}-{S}2 optical method showed superior results in terms of user's accuracy ({UA}), issuing no false detections, but had a lower producer accuracy ({PA}, 84.88%) when compared to the {S}entinel-1 {SAR}-based systems ({PA},90%). {W}ageningen {U}niversity's system, {RADD}, proved to be relatively faster, especially in heavily clouded regions, where {RADD} warnings were issued 41 days before optical ones, and the one that better performs on small disturbed patches (< 0.25 ha) with a {UA} of 70.11%. {O}f all the high-resolution {SAR} methods, {CESBIO}'s had the best results regarding {UA} (99.0%). {F}inally, we tested the potential of three hypothetical combined optical-{SAR} systems. {T}he results show that these combined systems would have excellent detection capabilities, exceeding largely the producer's accuracy of all the tested methods at the cost of a slightly diminished user's accuracy, and constitute a promising and feasible approach for the forthcoming forest monitoring systems.},
  keywords = {{BRESIL} ; {GUYANE} {FRANCAISE} ; {SURINAME} ; {AMAZONIE}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {R}emote {S}ensing},
  volume = {44},
  numero = {1},
  pages = {59--77},
  ISSN = {0143-1161},
  year = {2023},
  DOI = {10.1080/01431161.2022.2157684},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086812},
}