@article{fdi:010092746,
  title = {{M}onitoring {I}ndian ungauged small reservoirs volume from remote sensing : feasibility, bias and perspectives},
  author = {{P}ascal, {C}. and {F}errant, {S}ylvain and {P}eña-{L}uque, {S}. and {S}elles, {A}. and {M}arechal, {J}. {C}. and {W}ijmer, {T}. and {G}ascoin, {S}. and {M}erlin, {O}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}hat remote sensing products can be used to better quantify the water stored in hundreds of thousands {I}ndian {S}mall {R}eservoirs ({SR})? {T}his ungauged hydrological component of the water cycle is intermittently filled with rainwater runoff, constantly reshaped by farmers since last two decades, crucial for upstream irrigated agriculture. {G}iven the small size and shallow depth of those reservoirs, usual remote sensing techniques ({A}ltimeters and {LIDAR}) used in spatial hydrology to monitor their water level are not adapted. {W}e evaluated the uncertainty of {SR} volume retrieval methods based on surface water estimates from {S}entinel-2 and associated volumes from global available {DEM} at a medium to coarse resolution. {F}our pair of stereoscopic images at {V}ery {H}igh {R}esolution ({VHR}) from {P}leiades satellites were acquired during the last two dry hydrological years (2016 and 2019), when {SR} were totally empty. {T}he {P}leiades {DEM}s produced were cross validated with {LIDAR} {I}ce{SAT}-2 products, and used to extract 504 {SR} bathymetries within an area covering 1,813 km(2) located in the {T}elangana state (114,789 km(2)). {W}e compared {P}leiades based retrievals to freely available regional to global {DEM} to explore the regional volume retrieval {B}ias: {ALOS} {W}orld 3{D}-30 m, {W}orld{DEM} {GLO}-30 at 30 m {T}an{DEM}-{X} {DEM} at 90 m and one {I}ndian {DEM} ({C}arto{DEM} at 30 m). {T}he {M}ean {A}bsolute {P}ercentage {E}rror ({MAPE}) of reservoir volumes from global {DEM}s range from 47% to 78%. {MAPE} are 17%, 29% and 46% for {P}leiades {DEM} resampled at 12, 30 and 90 m, respectively. {I}n a near future, upcoming stereoscopy satellite missions at lower costs and with larger coverage and shorter revisit such as {CO}3{D} will provide 12m or higher resolution {DEM}s that, if acquired in dry years, will lead to acceptable {MAPE} (< 20%), to monitor empty {SR} geometries throughout {I}ndia and other semi-arid areas in the world.},
  keywords = {{INDE}},
  booktitle = {},
  journal = {{PL}o{S} {W}ater},
  volume = {3},
  numero = {12},
  pages = {e0000260 [27 p.]},
  year = {2024},
  DOI = {10.1371/journal.pwat.0000260},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092746},
}