In 2010, the Brazilian Government launched the Low-Carbon Agriculture Plan (Plan ABC) to promote adoption of good management practices by farmers and ranchers nationwide (Brazil, 2011). The selected practices included zero-tillage and integrated crop-livestock systems (also known as mixed farming systems) for cereal grains and beef or dairy production. However, the lack of monitoring procedures to evaluate the implementation and communication to policy makers and society in general may limit governance of the Plan ABC. Remote sensing techniques have strong potential to identify and measure the adoption of the selected practices, particularly regarding integrated crop-livestock systems in comparison with continuous pasture or cropland. The synoptic, multispectral and repetitive characteristics of satellites create a collection of data needed to map land management and understand the crop cycle, mainly in larger countries such as Brazil. In order to monitor crop growth along the season and track the change in management practices, a collection of data constructing a time series is needed. This paper aims at analyzing the spectral behavior of integrated croplivestock systems (ICLS) compared to a neighboring native Cerrado forest and a continuous degraded pasture. The study was conducted in the "Capivara Research Farm" of the National Rice and Bean Research Center of the Brazilian Research Corporation - Embrapa, in Santo Antônio de Goiás, Brazil. The climate had a two welldefined season: a dry season from April to October and a rainy season from November to March. The average annual rainfall is 1505 mm. For this study, ten paddocks were selected with areas ranging from 5.3 ha to 13.1 ha between April 2009 and October 2016. The crop rotation consisted of Brachiaria pasture grass (Urochloa Bryzantha) or fallow in the dry season interchangeably with soybean, rainfed rice and maize+brachiaria pasture grass in the rainy season. Grain crops and maize+brachiaria pasture grass