01683nam a2200229 a 450000100080000000500110000800800410001910000170006024501560007726001140023330000180034750000170036552008790038265000260126165000190128765000250130665300280133165300270135970000250138670000210141170000210143220329312020-01-07       2015    bl uuuu     u00u1 u    #d1 aSCRIVANI, R.  aAgricultural monitoring assessment based on low spatial and high temporal resolution satelliteba comparison of AVHRR and MODIS.h[electronic resource]  aIn: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2015, Milan. Proceedings... [New York]: IEEEc2015  ap. 3405-3408.  aIGARSS 2015.  aIn the last few years multi-temporal data obtained from remote sensing have been used in several applications with different purposes bringing important and successful results. In particular, time series extracted from NDVI images have become more and more useful to improve agricultural monitoring. Various satellites and sensors with diverse resolutions capture such images allowing the generation of a huge volume of data. The use of multiple sensors for analysis of agricultural fields can be a solution to long-term studies and also in cases when is necessary to use data from a long time or a specific date. Thus, whether we could combine data provided by sensors from different satellite we can probably obtain best results. However, the sensors have different specifications that may lead to erroneous results when working with more than one sensor indiscriminately.  aGeospatial technology  aRemote sensing  aSensoriamento remoto  aMonitoramento agrícola  aTecnologia geoespacial1 aGONÇALVES, R. R. V.1 aZULLO JUNIOR, J.1 aROMANI, L. A. S.