Ontology highlight
ABSTRACT:
SUBMITTER: Simoes R
PROVIDER: S-EPMC6985192 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Simoes Rolf R Picoli Michelle C A MCA Camara Gilberto G Maciel Adeline A Santos Lorena L Andrade Pedro R PR Sánchez Alber A Ferreira Karine K Carvalho Alexandre A
Scientific data 20200127 1
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 agricultural frontiers. To ensure multi-year compatibility, the work uses MODIS sensor analysis-ready products and an innovative method that applies machine learning techniques to classify satellite image time series. The maps provide information about crop and pasture expansion over natural vegetation, as well as spat ...[more]