Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Examining deforestation and agropasture dynamics along the Brazilian TransAmazon Highway using multitemporal Landsat imagery

Texto completo
Autor(es):
Li, Guiying [1, 2] ; Lu, Dengsheng [1, 3, 2] ; Moran, Emilio [3] ; Calvi, Miqueias Freitas [4] ; Dutra, Luciano Vieira [5] ; Batistella, Mateus [6]
Número total de Autores: 6
Afiliação do(s) autor(es):
[1] Fujian Normal Univ, Sch Geog Sci, Fuzhou 350007, Fujian - Peoples R China
[2] Fujian Normal Univ, Fujian Prov Key Lab Subtrop Resources & Environm, Fuzhou 350007, Fujian - Peoples R China
[3] Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 - USA
[4] Fed Univ Para, Fac Forestry, BR-68372040 Altamira, PA - Brazil
[5] Natl Inst Space Res, Image Proc Div, BR-12245010 Sao Jose Dos Campos, SP - Brazil
[6] Brazilian Agr Res Corp Embrapa, Embrapa Agr Informat, Brasilia, DF - Brazil
Número total de Afiliações: 6
Tipo de documento: Artigo Científico
Fonte: GIScience & Remote Sensing; v. 56, n. 2, p. 161-183, FEB 17 2019.
Citações Web of Science: 0
Resumo

This research aims to understand the difference of major land-cover change results caused in various time periods and to examine the impacts of human-induced factors on land-cover changes along the TransAmazon Highway region. The Landsat Thematic Mapper and Operational Land Imager data from 2011, 2014, and 2017 and our previous land-cover classification results in 1991, 2000, and 2008 were used to examine land-cover dynamics. A classification system consisting of five land-cover classes - primary forest (PF), secondary forest (SF), agropasture (AP), urban area, and water - were chosen. The hierarchical-based classification method was used to generate land-cover classification results, and the post-classification comparison approach was used to produce detailed ``from-to{''} conversions for each detection period. The emphasis was on deforestation of PF, dynamic change of SF and AP, and urbanization over time. The impacts of human-induced factors such as population and economic conditions on urban expansion, AP expansion, and deforestation were examined. This research indicated that selection of a suitable time period was critical for effectively detecting land-cover changes; that is, too long time period (i.e., 9 years) cannot accurately capture some land-cover changes such as the AP and SF in this research. Although deforestation - the conversion from PF to SF and AP - accounted for a large proportion of land-cover changes, the changes between SF and AP became more important than PF conversion, and required a short time period (i.e., 3 years here) for effectively reflecting their dynamics. Human-induced factors play important roles in deforestation, dynamic changes between AP and SF, and urbanization. (AU)

Processo FAPESP: 12/51465-0 - Processos sociais e ambientais que acompanham a construção da hidroelétrica de Belo Monte, Altamira, PA
Beneficiário:Emilio Federico Moran
Linha de fomento: Auxílio à Pesquisa - Programa SPEC