@incollection{fdi:010008400, title = {{E}valuation of several soil properties using convolved {TM} spectra}, author = {{B}en-{D}or, {E}. and {B}anin, {A}.}, editor = {}, language = {{ENG}}, abstract = {{L}aboratory reflectance spectra of ninety-one soil samples from {I}srael were convolved into the six {TM} bandpasses allocated within the {VIS}-{NIR}-{SWIR} spectral region (0.4-2.5 micrometers). {L}aboratory convolved {TM} spectra were used as raw data against which to run the {NIRA}-{VNIRA} ({N}ear {I}nfrared {A}nalysis and {V}isible and {N}ear {I}nfrared {A}nalysis, respectively) procedure using a method called {T}hematic {M}apper {A}nalysis ({TMA}). {F}ourteen soil properties and constituents were examined for possible prediction from the {TM} spectra, but only four were found to be significantly predictable : carbonates ({C}a{CO}3), specific surface area ({SSA}), total silica ({S}i{O}2), and loss-on-ignition residual ({LOI}). {P}rediction performance of the method is still low relative to the results obtained using a similar population and an analysis routine for highest spectral resolution data, however the extremely difficult conditions used (low spectral resolution and complex soil matrix), the prediction performance is likely to be good and is very promising for the remote sensing applications of soils. {F}urther study with real {TM} data and field measurements is strongly recommended. ({R}{\'e}sum{\'e} d'auteur)}, keywords = {{SOL} ; {TELEDETECTION} {SPATIALE} ; {CAPTEUR} {TM} ; {CARACTERISTIQUE} {CHIMIQUE} ; {CARACTERISTIQUE} {PHYSIQUE} ; {REFLECTANCE} ; {ANALYSE} {SPECTRALE} ; {ANALYSE} {STATISTIQUE} ; {RESULTAT} {ANALYTIQUE} ; {ISRAEL}}, booktitle = {{S}urveillance des sols dans l'environnement par t{\'e}l{\'e}d{\'e}tection et syst{\`e}mes d'information g{\'e}ographiques = {M}onitoring soils in the environment with remote sensing and {GIS}}, numero = {}, pages = {135--149}, address = {{P}aris}, publisher = {{ORSTOM}}, series = {{C}olloques et {S}{\'e}minaires}, year = {1996}, ISBN = {2-7099-1331-3}, ISSN = {0767-2896}, URL = {https://www.documentation.ird.fr/hor/fdi:010008400}, }