@article{fdi:010068210,
  title = {{M}ultitemporal analysis of high-spatial-resolution optical satellite imagery for mangrove species mapping in {B}ali, {I}ndonesia},
  author = {{V}iennois, {G}. and {P}roisy, {C}hristophe and {F}{\'e}ret, {J}. {B}. and {P}rosperi, {J}. and {S}idik, {F}. and {S}uhardjono, and {R}ahmania, {R}. and {L}ong{\'e}p{\'e}, {N}. and {G}ermain, {O}. and {G}aspar, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}apping zonations of mangrove species ({ZMS}) is important when assessing the functioning of such specific ecosystems. {H}owever, the reproducibility of remote sensing methods for discriminating and mapping mangrove habitats is often overstated due to the lack of temporal observations. {H}ere, we investigated the potential use of temporal series of high-resolution multispectral satellite images to discriminate and map four typical {A}sian {ZMS}. {T}his study was based on the analysis of eight images acquired between 2001 and 2014 over the mangrove area of {N}usa {L}embongan, {B}ali, {I}ndonesia. {V}ariations between years in the top-of-atmosphere reflectance signatures were examined as functions of the acquisition angles. {W}e also applied maximum likelihood supervised classification to all of the images and determined the variability in the classification errors. {W}e found that the distinction between spectral signatures of {ZMS} characterized by a close canopy was fairly independent of the season and sensor characteristics. {B}y contrast, the variability in the multispectral signatures of {ZMS} with open canopies and associated classification errors could be attributed to variability in ground surface scattering. {I}n both cases, sun-viewing geometry could alter the separability between {ZMS} classes in near-nadir viewing or frontward sun-viewing configurations, thereby explaining why the overall accuracy of {ZMS} classification might vary from 65% to 80%. {T}hus, multitemporal analysis is an important stage in the development of robust methods for {ZMS} mapping. {I}t must be supported by physical-based research aiming to quantify the influences of canopy structure, species composition, ground surface properties, and viewing geometry parameters on {ZMS} multispectral signatures.},
  keywords = {{H}igh-resolution image ; mangrove biodiversity ; multispectral analysis ; species discrimination ; {INDONESIE} ; {BALI}},
  booktitle = {},
  journal = {{IEEE} {J}ournal of {S}elected {T}opics in {A}pplied {E}arth {O}bservations and {R}emote {S}ensing},
  volume = {9},
  numero = {8},
  pages = {3680--3686},
  ISSN = {1939-1404},
  year = {2016},
  DOI = {10.1109/jstars.2016.2553170},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068210},
}