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      Anthropogenic Disturbances Affect the Relationship Between Spectral Indices and the Biometric Variables of Brazilian Savannas

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          Abstract

          ABSTRACT According to previous studies involving biometric variables modeling using remote sensing (RS), data did not consider the effects of anthropogenic disturbance as relevant factor. The main objective of this study was to model aboveground biomass (AGB) and total wood volume (TWV) of Brazilian Savanna biome using vegetation indices (VI) from LANDSAT 5 TM. Multiple linear regression (MLR) and random forest (RF) algorithm were applied across 641 field plots of cerrado sensu stricto of the state of Minas Gerais, Brazil, comparing two models: non-stratified, and stratified according to plot’s anthropization degree. AGB and TWV obtained from non-anthropized plots presented linear relation with VIs (R2 = 0.82 and 0.74, respectively) and, on the other hand, presented nonlinear relation when plots were affected by anthropogenic disturbances or were not stratified. This finding helps improving estimates by stratifying plots into their anthropization degree, mainly in the Brazilian Savanna biome undergoing anthropogenic disturbances.

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          A soil-adjusted vegetation index (SAVI)

          A.R Huete (1988)
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            Detecting trend and seasonal changes in satellite image time series

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              Land cover mapping of the tropical savanna region in Brazil.

              The Brazilian tropical savanna (Cerrado), encompassing more than 204 million hectares in the central part of the country, is the second richest biome in Brazil in terms of biodiversity and presents high land use pressure. The objective of this study was to map the land cover of the Cerrado biome based on the segmentation and visual interpretation of 170 Landsat Enhanced Thematic Mapper Plus satellite scenes acquired in 2002. The following land cover classes were discriminated: grasslands, shrublands, forestlands, croplands, pasturelands, reforestations, urban areas, and mining areas. The results showed that the remnant natural vegetation is still covering about 61% of the biome, however, on a highly asymmetrical basis. While natural physiognomies comprise 90% of the northern part of the biome, only 15% are left in its southern portions. Shrublands were the dominant natural land cover class, while pasturelands were the dominant land use class in the Cerrado biome. The final Cerrado's land cover map confirmed the intensive land use pressure in this unique biome. This paper also showed that Landsat-like sensors can provide feasible land cover maps of Cerrado, although ancillary data are required to help image interpretation.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                floram
                Floresta e Ambiente
                Floresta Ambient.
                Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro (Seropédica, RJ, Brazil )
                1415-0980
                2179-8087
                2019
                : 26
                : 3
                : e20180338
                Affiliations
                [01] Lavras Minas Gerais orgnameUniversidade Federal de Lavras orgdiv1Departamento de Ciências Florestais Brazil
                Article
                S2179-80872019000300138
                10.1590/2179-8087.033818
                03a1a1dc-822a-43e5-9d23-c97a5b8436ad

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 19 January 2017
                : 07 July 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 49, Pages: 0
                Product

                SciELO Brazil

                Categories
                Original Article

                remote sensing,stratification,modeling,wood volume,aboveground biomass

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