@article{fdi:010063881, title = {{A}ccuracy assessment of {SRTM} v4 and {ASTER} {GDEM} v2 over the {A}ltiplano watershed using {ICES}at/{GLAS} data}, author = {{S}atge, {F}. and {B}onnet, {M}arie-{P}aule and {T}imouk, {F}ranck and {C}almant, {S}t{\'e}phane and {P}illco, {R}. and {M}olina, {J}. and {L}avado-{C}asimiro, {W}. and {A}rsen, {A}. and {C}retaux, {J}. {F}. and {G}arnier, {J}.}, editor = {}, language = {{ENG}}, abstract = {{T}he new {G}lobal {D}igital {E}levation {M}odel ({GDEM} v2) has been available since 17 {O}ctober 2011. {W}ith a resolution of approximately 30 m, this model should provide more accurate information than the latest version of {S}huttle {R}adar {T}opographic {M}ission ({SRTM} v4) with a resolution of 90 m outside of the {USA}. {T}he accuracies of these two recently released digital elevation models ({DEM}s) were assessed over the {A}ltiplano watershed in {S}outh {A}merica using {ICES}at/{GLAS} data ({I}ce, {C}loud and {L}and {E}levation {S}atellite/{G}eoscience {L}aser {A}ltimeter {S}ystem). {O}n the global scale, {GDEM} v2 is more accurate than {SRTM} v4, which presents a negative bias of approximately 8.8 m. {S}trong correlations between the {DEM}s' accuracies and mean slope values occurred. {R}egarding land cover, {SRTM} v4 could be more accurate or easier to correct on a smaller scale than {GDEM} v2. {F}inally, a merged and corrected {DEM} that considers all of these observations was built to provide more accurate information for this region. {T}he new model featured lower absolute mean errors, standard deviations, and root mean square errors relative to {SRTM} v4 or {GDEM} v2.}, keywords = {{BOLIVIE} ; {PEROU} ; {CHILI} ; {ANDES} ; {COIPASA} {SALAR} ; {UYUNI} {SALAR} ; {TITICACA} {LAC} ; {DESAGUADERO} {COURS} {D}'{EAU} ; {POOPO} {LAC}}, booktitle = {}, journal = {{I}nternational {J}ournal of {R}emote {S}ensing}, volume = {36}, numero = {2}, pages = {465--488}, ISSN = {0143-1161}, year = {2015}, DOI = {10.1080/01431161.2014.999166}, URL = {https://www.documentation.ird.fr/hor/fdi:010063881}, }