Journal Article

Land use and cover maps for Mato Grosso State in Brazil from 2001 to 2017

Andrade, Pedro R., Camara, Gilberto, Carvalho, Alexandre, Santos, Lorena, Ferreira, Karine, Sánchez, Alber, Simoes, Rolf, Picoli, Michelle C. A., Maciel, Adeline

2020

Overview

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 spatially explicit estimates of increases in agricultural productivity and trade-offs between crop and pasture expansion. Therefore, the dataset provides new and relevant information to understand the impact of environmental policies on the expansion of tropical agriculture in Brazil. Using such results, researchers can make informed assessments of the interplay between production and protection within Amazon, Cerrado, and Pantanal biomes. Measurement(s) land • land use Technology Type(s) computational modeling technique Factor Type(s) year • geographic location • land use and cover class Sample Characteristic - Environment land Sample Characteristic - Location Mato Grosso State Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.11440461

• Publisher: Nature Publishing Group UK,Nature Publishing Group
• Subject: 704/172 / 704/844/4081 / 706/1143 / 706/1145 / 706/134 / Computer applications / Data Descriptor / Environmental policy / Humanities and Social Sciences / Land use / Learning algorithms / Machine learning / multidisciplinary / Natural vegetation / Pasture / Science / Science (multidisciplinary)