@article{fdi:010054378,
  title = {{P}otential of an ultraviolet, medium-footprint lidar prototype for retrieving forest structure},
  author = {{A}llouis, {T}. and {D}urrieu, {S}. and {C}hazette, {P}. and {B}ailly, {J}.{S}. and {C}uesta, {J}. and {V}ega, {C}. and {F}lamant, {P}. and {C}outeron, {P}ierre},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he aim of the paper is to carry on methodological development for retrieving forest parameters from medium-footprint lidar signals and for assessing the performance of different sampling strategies. {T}he 2.4 m footprint lidar prototype (a profiler instrument using an ultraviolet laser) was flown above two different maritime pine stands: a young plantation (10 years old) and a mature, semi-natural stand (55 years old), both in the {L}andes forest, {F}rance. {T}he vertical distribution of lidar measurements was studied for retrieving forest height parameters (mean total height, mean crown height and top height). {T}he processing algorithm was based on an aggregation of successive signals followed by the correction of the signal attenuation along the travel through the vegetation. {T}he performance of different sampling strategies was assessed by comparing the results for the full dataset (several fight lines over the stands) and for only a data subset (one flight line). {I}n addition, the horizontal distribution of height measurements was studied for identifying the planting pattern of the stands and assessing the tree spacing of the semi-natural parcel, using geostatistics. {W}e obtained a sub-metric estimation error (lidar - reference) of 0.2 m on the mean total height in the young stand (-0.7 m in the mature stand), a bias of -0.3 m (-0.3 m) on the mean crown height measurement and of 0.6 m (-1.0 m) on the top height. {T}he planting pattern was also successfully identified, and the distance between trees was assessed in agreement with ground measurements. {H}aving demonstrated its ability to assess forest structure, even with a unique flight line, the lidar prototype seems to be a valuable sensor for performing fast forest inventory at regional scale. {I}n addition, this sensor opens the way to the development of bi-functional lidar for both atmosphere and vegetation remote sensing.},
  keywords = {{U}ltra light aircraft ; {S}ignal processing ; {S}emi-variogram ; {F}orest ; structure ; {L}aser attenuation ; {FRANCE}},
  booktitle = {},
  journal = {{ISPRS} {J}ournal of {P}hotogrammetry and {R}emote {S}ensing},
  volume = {66},
  numero = {6},
  pages = {{S}92--{S}102},
  ISSN = {0924-2716},
  year = {2011},
  DOI = {10.1016/j.isprsjprs.2011.08.007},
  URL = {https://www.documentation.ird.fr/hor/fdi:010054378},
}