@article{fdi:010063276, title = {{C}omparing near and mid-infrared reflectance spectroscopy for determining properties of {M}alagasy soils, using global or {LOCAL} calibration}, author = {{R}abenarivo, {M}. and {C}hapuis {L}ardy, {L}ydie and {B}runet, {D}idier and {C}hotte, {J}ean-{L}uc and {R}abeharisoa, {L}. and {B}arth{\`e}s, {B}ernard}, editor = {}, language = {{ENG}}, abstract = {{N}owadays, near infrared ({NIR}) and mid-infrared (mid-{IR}) reflectance spectroscopy are recognised useful approaches for quantifying soil properties, cost and time effectively. {T}he aim of this work was to compare predictions of soil carbon ({C}) and nitrogen ({N}) content, {C}/{N} ratio, substrate-induced respiration ({SIR}) and denitrifying enzyme activity ({DEA}) using {NIR} and mid-{IR} spectroscopy over a diverse set of 360 {M}alagasy topsoils. {P}artial least square regression was used for fitting {NIR} and mid-{IR} spectra to conventional data through procedures of calibration either global (one prediction model for all samples) or {LOCAL} (one prediction model per sample). {P}rediction accuracy was assessed according to validation (r(2)), standard error of prediction ({SEP}) in proportion to the mean and ratio of standard deviation to {SEP} ({RPD}). {U}sing both {NIR} and mid-{IR} spectroscopy, global calibration over the whole sample set yielded predictions that were excellent for {C} and {N} (r(2) > 0.9, {SEP}<20%, {RPD} >= 3), good for {C}/{N}, acceptable for {SIR}, but poor for {DEA}. {LOCAL} calibration improved {C}/{N} and {SIR} predictions with both {NIR} and mid-{IR} spectroscopy, while {DEA} prediction became acceptable with {NIR} spectroscopy only. {A}dditional improvement was achieved when {LOCAL} calibration was carried out over the fine-textured sub-set, especially for {SIR} (r(2)>0.9, {SEP}<20%, {RPD}>3). {I}n contrast, {LOCAL} calibration over the coarse-textured sub-set was clearly not useful for improving prediction accuracy. {NIR} outperformed mid-{IR} spectroscopy whatever the variable, the calibration procedure and the sample set (except for {SIR} over the coarse-textured sub-set, where both similar), suggesting its possible superiority for tropical soils.}, keywords = {infrared spectroscopy ; soil carbon ; soil nitrogen ; soil biological ; properties ; {LOCAL} calibration ; {MADAGASCAR}}, booktitle = {}, journal = {{J}ournal of near {I}nfrared {S}pectroscopy}, volume = {21}, numero = {6}, pages = {495--509}, ISSN = {0967-0335}, year = {2013}, DOI = {10.1255/jnirs.1080}, URL = {https://www.documentation.ird.fr/hor/fdi:010063276}, }