01462nam a2200325 a 450000100080000000500110000800800410001902000220006010000170008224501630009926001840026250001170044652001830056365300420074665300200078865300240080865300320083265300180086465300170088265300360089965300090093570000220094470000250096670000210099170000250101270000200103770000280105770000260108570000250111121529652023-04-11       2023    bl uuuu     u00u1 u    #d  a978-65-89159-04-91 aBUENO, I. T.  aLand use/land cover classification and scale effect analysis for a multi-temporal superpixel-based segmentation using PlanetScope data.h[electronic resource]  aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 20., 2023, Florianópolis. Anais [...]. São José dos Campos: Instituto Nacional de Pesquisas Espaciais, 2023. p. 304-307.c2023  aEditores: Douglas Francisco Marcolino Gherardi, Ieda Del´Arco Sanches, Luiz Eduardo Oliveira e Cruz de Aragão.  aThis study evaluated the accuracy and suitability of LULC classifications based on the scale effect of a multi-temporal superpixel-based segmentation using PlanetScope (PS) data.  aAnálise de imagem baseada em objetos  aFator de escala  aGoogle Earth Engine  aObject-based image analysis  aRandom Forest  aScale factor  aSimple Non-Iterative Clustering  aSNIC1 aANTUNES, J. F. G.1 aTORO, A. P. S. G. D.1 aWERNER, J. P. S.1 aLAMPARELLI, R. A. C.1 aCOUTINHO, A. C.1 aFIGUEIREDO, G. K. D. A.1 aESQUERDO, J. C. D. M.1 aMAGALHÃES, P. S. G.