@article{fdi:010093332,
  title = {{A}ssessing classification accuracy as a criterion for evaluating the performance of seven topographic correction algorithms in the trinidad mountains, {C}uba},
  author = {{S}ánchez-{L}lull, {M}. and {T}orres, {L}. {C}. and {C}aravaca, {A}. {M}. and {M}orales, {G}. {M}. and {S}auvage, {S}. and {Z}ulueta-{V}{\'e}liz, {Y}. and {C}hang, {E}. {J}. {O}. and {C}abrera, {J}. {L}. and {V}asallo-{R}odríguez, {L}. and {O}uillon, {S}ylvain and {S}ánchez-{P}{\'e}rez, {J}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}o contribute to {SDG}-15 about the conservation of terrestrial ecosystems, the effective management of land resources is required. {I}n this respect, determining the land use and cover ({LUC}) based on remote sensing constitutes a strength. {F}or the {A}rimao watershed in the province {C}ienfuegos of {C}uba, the main difficulty in determining the {LUC} is related to the topographic correction in the mountains of {T}rinidad. {T}his study aims to validate the effectiveness of seven topographic correction methods using classification accuracy as a criterion. {F}or this purpose, the mountain area was cut out on the {L}andsat-8 {OLI} image of {D}ecember 2020, based on its physical-geographical and geological characteristics. {S}even topographic correction algorithms were applied: {C}osine correction, {I}mproved cosine, {C}-correction, {M}innaert, {M}innaert with the slope, including {R}iano and others by {L}aw, and the {N}ormalization correction. {T}o evaluate their performance, three criteria were used: visual interpretation, statistical analysis, and assessing classification accuracy taking into account eight cover classes. {T}he obtained results showed a higher effectiveness of the {M}innaert correction with slope and roughness coefficient k = 0.3, with an overall accuracy of 94.08%. {T}he user and producer accuracies increased the performance for almost all forest classes. {F}or the mountains of {T}rinidad, the non-forest classes were not affected by the topographic correction, so it was possible to apply the topographic correction algorithms to the entire area. {T}he results have demonstrated the necessity of applying the criterion of accuracy assessment to select the best topographic correction.},
  keywords = {remote sensing ; topographic correction ; land use cover ({LUC}) ; {L}andsat-8 ; {OLI} ; mountains of {T}rinidad ; {A}rimao watershed ; {CUBA}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {17},
  numero = {6},
  pages = {1032 [25 p.]},
  year = {2025},
  DOI = {10.3390/rs17061032},
  URL = {https://www.documentation.ird.fr/hor/fdi:010093332},
}