Agricultural land use and cover change in the Cerrado/Amazon ecotone: A case study of the upper Teles Pires River basin

被引:22
|
作者
Sousa Rodrigues Zaiatz, Ana Paula [1 ]
Zolin, Cornelio Alberto [2 ]
Vendrusculo, Laurimar Goncalves [3 ]
Lopes, Tarcio Rocha [4 ]
Paulino, Janaina [5 ]
机构
[1] Univ Fed Mato Grosso, Programa Posgrad Agron, Ave Alexandre Ferronato 1200, BR-78698000 Sinop, MT, Brazil
[2] Empresa Brasileira Pesquisa Agr, Embrapa Agrossilvipastoril, Rodovia Pioneiros MT 222,Km 2,5, BR-78550970 Sinop, MT, Brazil
[3] Empresa Brasileira Pesquisa Agr, Embrapa Informat Agr, Ave Andre Tosello,209,Campus Unicamp, BR-13083886 Campinas, SP, Brazil
[4] Univ Sao Paulo, Escola Super Agr Luiz de Queiroz, Dept Engn Biossistemas, Ave Padua Dias 11, BR-13418900 Piracicaba, SP, Brazil
[5] Univ Fed Mato Grosso, Inst Ciencias Agr & Ambientais, Ave Alexandre Ferronato 1200, BR-78698000 Sinop, MT, Brazil
关键词
Amazon Basin; remote sensing; GIS; territorial management; REGION; AMAZON; DEFORESTATION;
D O I
10.1590/1809-4392201701930
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The upper Teles Pires River basin is a key hydrological resource for the state of Mato Grosso, but has suffered rapid land use and cover change. The basin includes areas of Cerrado biome, as well as the areas transitional between the Amazon and Cerrado vegetation types, with intensive large-scale agriculture widely-spread throughout the region. The objective of this study was to explore the spatial and temporal dynamics of land use and cover change from 1986 to 2014 in the upper Teles Pires basin using remote sensing and GIS techniques. TM (Thematic Mapper) and TIRS (Thermal Infrared Sensor) sensor images aboard the Landsat 5 and Landsat 8, respectively, were employed for supervised classification using the "Classification Workflow" in ENVI 5.0. To evaluate classification accuracy, an error matrix was generated, and the Kappa, overall accuracy, errors of omission and commission, user accuracy and producer accuracy indexes calculated. The classes showing greatest variation across the study period were "Agriculture" and "Rainforest". Results indicated that deforested areas are often replaced by pasture and then by agriculture, while direct conversion of forest to agriculture occured less frequently. The indices with satisfactory accuracy levels included the Kappa and Global indices, which showed accuracy levels above 80% for all study years. In addition, the producer and user accuracy indices ranged from 59-100% and 68-100%, while the errors of omission and commission ranged from 0-32% and 0-40.6%, respectively.
引用
收藏
页码:168 / 177
页数:10
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