@article{fdi:010095807,
  title = {{S}tereo bathymetry to monitor small seasonal agriculture water ponds in ungauged areas},
  author = {{V}anthof, {V}. and {F}errant, {S}ylvain and {W}alcker, {R}. and {K}elly, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}mall reservoirs represent a critical water supply to farmers across semi-arid regions, but their hydrological modelling suffers from data scarcity and highly variable and localised rainfall intensities. {O}ver 200,000 ancient rainwater harvesting reservoirs ("tanks") exist across {S}outh {I}ndia, but with their complex history, considerable size variation, and widespread distribution, understanding the hydrological role of these tanks has been difficult. {F}ortunately, the last decade has seen improvements in sensors and technologies that enhance our ability to assess the hydrological role of these tanks. {I}n particular, high-resolution {D}igital {E}levation {M}odel ({DEM}s), now much easier to produce, can be used to improve the characterization of tanks and their surrounding watersheds. {H}ere, a high-resolution {DEM} is created during the lowest reservoir conditions using {P}leiades stereoscopy, and along with two global {DEM}s, compared with volume estimates from a field-derived {UAV} reference {DEM} for a set of tanks in {S}outh {I}ndia. {T}his study demonstrates that a {P}leiades-derived {DEM} can capture accurate reservoir geometry and, when simulating water volume, achieves volumetric differences of 2-8% compared to our {UAV} reference data. {T}he {P}leiades-derived-{DEM} produced an equivalent height bias less than the expected bias for the recently launched {S}urface {W}ater and {O}cean {T}opography ({SWOT}) mission. {D}eriving high-resolution tank bathymetry from space during low-water conditions provides an opportunity to systematically and repeatably measure tank volume. {T}hese results are encouraging in efforts to utilize very high resolution {DEM}s chosen at an appropriate hydrological time, particularly in regions where water management and security is paramount.},
  keywords = {tank hydrology ; bathymetry ; {P}leiades stereoscopy ; volume uncertainty ; {INDE} ; {TAMIL} {NADU} ; {GUNDAR} {BASSIN}},
  booktitle = {},
  journal = {{I}nternational {A}rchives of the {P}hotogrammetry, {R}emote {S}ensing and {S}patial {I}nformation {S}ciences},
  volume = {{XLVIII}-3-2024},
  numero = {},
  pages = {565--570},
  ISSN = {1682-1750},
  year = {2024},
  DOI = {10.5194/isprs-archives-{XLVIII}-3-2024-565-2024},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095807},
}