@article{fdi:010090205,
  title = {{A} robust channel head extraction method based on high-resolution topographic convergence, suitable for both slowly and fastly eroding landscapes},
  author = {{L}urin, {A}. and {M}arc, {O}. and {M}eunier, {P}. and {C}arretier, {S}{\'e}bastien},
  editor = {},
  language = {{ENG}},
  abstract = {{C}hannels are carved by erosive processes such as water or debris flow. {A}t the scale of a drainage basin, they form a channel network which impacts on the water and sediment dynamics of the basin, for example, by controlling its response to storms events in terms of flood and sediment exportation. {U}nderstanding how and where channels begin to form is thus of great interest for geomorphologists. {H}owever, in steep landscapes, channel heads are hard to identify on the field and the erosive processes acting just below channel heads are not fully understood. {T}herefore, more data is needed to constrain their location and geometry. {H}igh-resolution topographic data have opened up new perspectives in order to get this data. {H}ere we present the {CO}(2){CHAIN} method which automatically extracts channels from digital elevation models. {CO}(2){CHAIN} is consistent with visual channel head mapping made by geomorphologists on four different catchments and seems to perform better than previous methods. {T}his method could be used to revisit the conditions that allow channels to appear in a landscape, including fast eroding basins, and to better understand the competition between unchannelized and channelized erosion processes in these landscapes.},
  keywords = {{DEM} ; channel head ; debris flow ; lidar ; topography ; hillslope},
  booktitle = {},
  journal = {{J}ournal of {G}eophysical {R}esearch : {E}arth {S}urface},
  volume = {128},
  numero = {9},
  pages = {e2022{JF}006999 [18 ]},
  ISSN = {2169-9003},
  year = {2023},
  DOI = {10.1029/2022jf006999},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090205},
}