Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine
Autor: | Ane Alencar, Eliseu Jose Weber, Washington de Jesus Sant'Anna da Franca Rocha, Fernando F. Paternost, Dyeden Monteiro, Felipe E. B. Lenti, Antônio V. Fonseca, Luiz C. Ferreira Neto, Tasso Rezende de Azevedo, Cesar Guerreiro Diniz, Pedro Walfir M. Souza-Filho, Sergio W. de Oliveira, Marcio H. Sales, Moises Pereira Galvao Salgado, Eduardo R. Rosa, Eduardo Vélez-Martin, Heinrich Hasenack, Marcelo Matsumoto, Carlos Souza, Bernardo Friedrich Theodor Rudorff, João V. Siqueira, Marciano Saraiva, Diego Pereira Costa, Vinícius Vieira Mesquita, Camila B. Marques, José L. Viera, Leandro Parente, Frans G. C. Pareyn, Julia Z. Shimbo, Marcos R. Rosa, Laerte Guimarães Ferreira, Soltan Galano, Rodrigo Antunes de Vasconcelos |
---|---|
Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences Land use business.industry Amazon rainforest Brasil Biome land use land cover change Landsat random forest time-series Brazilian biomes Vegetation Land cover 010603 evolutionary biology 01 natural sciences Natural (archaeology) Random forest Solo Biomas Geography Agriculture Uso da terra General Earth and Planetary Sciences Physical geography business 0105 earth and related environmental sciences |
Zdroj: | Remote Sensing; Volume 12; Issue 17; Pages: 2735 Repositório Institucional da UFRGS Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
ISSN: | 2072-4292 |
Popis: | Brazil has a monitoring system to track annual forest conversion in the Amazon and most recently to monitor the Cerrado biome. However, there is still a gap of annual land use and land cover (LULC) information in all Brazilian biomes in the country. Existing countrywide efforts to map land use and land cover lack regularly updates and high spatial resolution time-series data to better understand historical land use and land cover dynamics, and the subsequent impacts in the country biomes. In this study, we described a novel approach and the results achieved by a multi-disciplinary network called MapBiomas to reconstruct annual land use and land cover information between 1985 and 2017 for Brazil, based on random forest applied to Landsat archive using Google Earth Engine. We mapped five major classes: forest, non-forest natural formation, farming, non-vegetated areas, and water. These classes were broken into two sub-classification levels leading to the most comprehensive and detailed mapping for the country at a 30 m pixel resolution. The average overall accuracy of the land use and land cover time-series, based on a stratified random sample of 75,000 pixel locations, was 89% ranging from 73 to 95% in the biomes. The 33 years of LULC change data series revealed that Brazil lost 71 Mha of natural vegetation, mostly to cattle ranching and agriculture activities. Pasture expanded by 46% from 1985 to 2017, and agriculture by 172%, mostly replacing old pasture fields. We also identified that 86 Mha of the converted native vegetation was undergoing some level of regrowth. Several applications of the MapBiomas dataset are underway, suggesting that reconstructing historical land use and land cover change maps is useful for advancing the science and to guide social, economic and environmental policy decision-making processes in Brazil. |
Databáze: | OpenAIRE |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |