@article{fdi:010062524,
  title = {{C}oupling potential of {ICES}at/{GLAS} and {SRTM} for the discrimination of forest landscape types in {F}rench {G}uiana},
  author = {{F}ayad, {I}. and {B}aghdadi, {N}. and {G}ond, {V}. and {B}ailly, {J}. {S}. and {B}arbier, {N}icolas and {E}l {H}ajj, {M}. and {F}abre, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {S}huttle {R}adar {T}opography {M}ission ({SRTM}) has produced the most accurate nearly global elevation dataset to date. {O}ver vegetated areas, the measured {SRTM} elevations are the result of a complex interaction between radar waves and tree crowns. {I}n this study, waveforms acquired by the {G}eoscience {L}aser {A}ltimeter {S}ystem ({GLAS}) were combined with {SRTM} elevations to discriminate the five forest landscape types ({LT}s) in {F}rench {G}uiana. {T}wo differences were calculated: (1) penetration depth, defined as the {GLAS} highest elevations minus the {SRTM} elevations and (2) the {GLAS} centroid elevations minus the {SRTM} elevations. {T}he results show that these differences were similar for the five {LT}s, and they increased as a function of the {GLAS} canopy height and of the {SRTM} roughness index. {N}ext, a {R}andom {F}orest ({RF}) classifier was used to analyze the coupling potential of {GLAS} and {SRTM} in the discrimination of forest landscape types in {F}rench {G}uiana. {T}he parameters used in the {RF} classification were the {GLAS} canopy height, the {SRTM} roughness index, the difference between the {GLAS} highest elevations and the {SRTM} elevations and the difference between the {GLAS} centroid elevations and the {SRTM} elevations. {D}iscrimination of the five forest landscape types in {F}rench {G}uiana was possible, with an overall classification accuracy of 81.3% and a kappa coefficient of 0.75. {A}ll forest {LT}s were well classified with an accuracy varying from 78.4% to 97.5%. {F}inally, differences of near coincident {GLAS} waveforms, one from the wet season and one from the dry season, were analyzed. {T}he results showed that the open forest {LT} ({LT}12), in some locations, contains trees that lose leaves during the dry season. {T}hese trees allow {LT}12 to be easily discriminated from the other {LT}s that retain their leaves using the following three criteria: (1) difference between the {GLAS} centroid elevations and the {SRTM} elevations, (2) ratio of top energy in the wet season to top energy in the dry season, or (3) ratio of ground energy in the wet season to ground energy in the dry season.},
  keywords = {{SRTM} {DEM} ; {ICES}at/{GLAS} ; {T}ropical forest ; {F}rench {G}uiana ; {GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {A}pplied {E}arth {O}bservation and {G}eoinformation},
  volume = {33},
  numero = {},
  pages = {21--31},
  ISSN = {0303-2434},
  year = {2014},
  DOI = {10.1016/j.jag.2014.04.005},
  URL = {https://www.documentation.ird.fr/hor/fdi:010062524},
}