Academic Journal

Reconstructing historical forest cover change in the Lower Amazon floodplains using the LandTrendr algorithm

التفاصيل البيبلوغرافية
العنوان: Reconstructing historical forest cover change in the Lower Amazon floodplains using the LandTrendr algorithm
المؤلفون: FRAGAL, Everton Hafemann, SILVA, Thiago Sanna Freire, NOVO, Evlyn Márcia Leão de Moraes
المصدر: Acta Amazonica. March 2016 46(1)
بيانات النشر: Instituto Nacional de Pesquisas da Amazônia, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Wetlands, flooded forest, land use change, monitoring, Landsat
الوصف: he Amazon várzeas are an important component of the Amazon biome, but anthropic and climatic impacts have been leading to forest loss and interruption of essential ecosystem functions and services. The objectives of this study were to evaluate the capability of the Landsat-based Detection of Trends in Disturbance and Recovery (LandTrendr) algorithm to characterize changes in várzeaforest cover in the Lower Amazon, and to analyze the potential of spectral and temporal attributes to classify forest loss as either natural or anthropogenic. We used a time series of 37 Landsat TM and ETM+ images acquired between 1984 and 2009. We used the LandTrendr algorithm to detect forest cover change and the attributes of "start year", "magnitude", and "duration" of the changes, as well as "NDVI at the end of series". Detection was restricted to areas identified as having forest cover at the start and/or end of the time series. We used the Support Vector Machine (SVM) algorithm to classify the extracted attributes, differentiating between anthropogenic and natural forest loss. Detection reliability was consistently high for change events along the Amazon River channel, but variable for changes within the floodplain. Spectral-temporal trajectories faithfully represented the nature of changes in floodplain forest cover, corroborating field observations. We estimated anthropogenic forest losses to be larger (1.071 ha) than natural losses (884 ha), with a global classification accuracy of 94%. We conclude that the LandTrendr algorithm is a reliable tool for studies of forest dynamics throughout the floodplain.
نوع الوثيقة: article
وصف الملف: text/html
اللغة: English
تدمد: 0044-5967
DOI: 10.1590/1809-4392201500835
URL الوصول: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672016000100013
Rights: info:eu-repo/semantics/openAccess
رقم الانضمام: edssci.S0044.59672016000100013
قاعدة البيانات: SciELO
الوصف
تدمد:00445967
DOI:10.1590/1809-4392201500835