This paper presents innovative methods for using satellite image time series to produce land
use and land cover classification over large areas in Brazil from 2001 to 2016. We used …

This paper presents a dataset of yearly land use and land cover classification maps for Mato
Grosso State, Brazil, from 2001 to 2017. Mato Grosso is one of the world's fast moving …

Agriculture in Brazilian Amazonia is going through a period of intensification. Crop mapping
is important in understanding the way this intensification is occurring and the impact it is …

The importance of mapping regional and global cropland distribution in timely ways has
been recognized, but separation of crop types and multiple cropping patterns is challenging …

The development of analytical software for big Earth observation data faces several
challenges. Designers need to balance between conflicting factors. Solutions that are …

The paradox between environmental conservation and economic development is a
challenge for Brazil, where there is a complex and dynamic agricultural scenario. This …

MODIS 250-m NDVI and EVI datasets are now regularly used to classify regional-scale
agricultural land-use practices in many different regions of the globe, especially in the state …

The Amazonian state of Mato Grosso is the main production area for soybeans in Brazil and
contains 31.3% of the national production as of 2009. The rapid evolution of the agricultural …

Currently, accurate information on crop area coverage is vital for food security and industry,
and there is strong demand for timely crop mapping. In this study, we used MODIS time …

The pasturelands areas of Brazil constitute an important asset for the country, as the main
food source for the world's largest commercial herd, representing the largest stock of open …