Validação do mapeamento de uma área de floresta tropical com o uso imagens de videografia aérea e dados de levantamento de campo

Espírito-Santo, Fernando Del Bon; Shimabukuro, Yosio Edemir

doi:10.1590/s0100-67622005000200006

Cited by 6 publications

(1 citation statement)

References 15 publications

(14 reference statements)

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“…As the Amazon and Cerrado biomes, mainly, have very different phytophysiognomies, with herbaceous vegetation, shrubs and arboreal individuals with very specific phenologies, these formations are not easily distinguishable in satellite images of medium spatial resolution [35]. This way, [36] recommends that before performing digital image classification, the Linear Model Spectral Mixing technique be applied.…”

Section: Proposed Integrated Approachmentioning

confidence: 99%

Multitemporal Analysis of Land Use and Coverage in the Low Course of the Araguaia River

Oliveira¹,

Souza²,

Lima³

2020

JGIS

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This work aimed to analyze the spatial behavior of plant formations and land use in the Ecological Tension Area Amazon-Cerrado. To this end, the Araguaia river basin was selected, in its low course, because it constitutes a physical-natural limit between the two Biomms, with intense dynamics of use and land cover Thus, in addition to researching scientific references and socioeconomic data from secondary sources, a geographic database was elaborated, with georeferenced data, and spatial operations are carried out. Among them, a supervised classification of land use and coverage, with multi-temporal analysis between the years 1984, 2000 and 2018. Thus, an expansion of 4.2 ha of Forest (Amazon biome) was observed on the savanic phytophysiognomy (Cerrado). However, the suppression of forested areas reached values around 21,700 km 2 , with direct conversions to anthropic activities, mainly pasture, about 71%. The results of the mapping compared with the data of the agricultural census show that the landscape of the Araguaia river basin, in its low course, is dominated by areas of pasture managed. However, public policies and government investments have fomented the expansion of agriculture in the direct bank of the river Araguaia, from 2000 onwards, and that the landscape of the left bank is dominated by pasture managed. Finally, it was found that the implantation of protective areas contributed to the vegetational regeneration of both biomms.

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Section: Proposed Integrated Approachmentioning

confidence: 99%

Multitemporal Analysis of Land Use and Coverage in the Low Course of the Araguaia River

Oliveira¹,

Souza²,

Lima³

2020

JGIS

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Estimation of Cork Production Usingaerial Imagery1

et al. 2015

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-Inventory and prediction of cork harvest over time and space is important to forest managers who must plan and organize harvest logistics (transport, storage, etc.). Common field inventory methods including the stem density, diameter and height structure are costly and generally point (plot) based. Furthermore, the irregular horizontal structure of cork oak stands makes it difficult, if not impossible, to interpolate between points. We propose a new method to estimate cork production using digital multispectral aerial imagery. We study the spectral response of individual trees in visible and near infrared spectra and then correlate that response with cork production prior to harvest. We use ground measurements of individual trees production to evaluate the model's predictive capacity. We propose 14 candidate variables to predict cork production based on crown size in combination with different NDVI index derivates. We use Akaike Information Criteria to choose the best among them. The best model is composed of combinations of different NDVI derivates that include red, green, and blue channels. The proposed model is 15% more accurate than a model that includes only a crown projection without any spectral information.Keywords: NDVI; Remote sensing; Akaike Information Criteria. ESTIMAÇÃO DA PRODUÇÃO DE CORTIÇA USANDO IMAGENS DIGITAIS AÉREASRESUMO -A inventariação e previsão de descortiçamento ao longo do tempo e espaço tornam-se essenciais para os gestores florestais responsáveis pelo seu planejamento e logística (transporte, armazenamento etc.). Os métodos comuns de inventariação de campo que incluem a densidade de troncos, diâmetro e altura da estrutura são caros e geralmente baseados em pontos (parcelas). Além disso, a estrutura horizontal irregular dos povoamentos de sobreiro torna difícil, se não impossível, a interpolação entre os pontos (parcelas). Assim, propõe-se um novo método para estimar a produção de cortiça usando imagens digitais aéreas multiespectrais. Foi estudada a resposta espectral a árvores individuais nas faixas do visível e infravermelho próximo, e posteriormente foi correlacionada essa resposta com a produção de cortiça antes do descortiçamento. Foram usadas medidas terrestres de produção de árvores individuais para avaliar a capacidade preditiva do modelo. Propuseram-se 14 variáveis candidatas à predição de produção de cortiça baseadas no tamanho da copa combinada com diferentes índices derivados do NDVI. Foi usado o Critério de Informação de Akaike para escolher a melhor opção entre elas. O melhor modelo é composto por combinações de diferentes derivados de NDVI que incluem os canais do vermelho, verde e azul. O modelo proposto é 15% mais preciso que o modelo que inclui unicamente a projeção da copa sem qualquer tipo de informação espectral.Palavras-chave: NDVI; Sensoriamento remoto; Critério de Informação de Akaike.

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The Homogenization of two Different Natural Ecosystems by Conversion to Pasture in the Southern Espinhaço, Brazil

et al. 2021

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Fragmentation of natural areas alters the natural landscape, removing native vegetation and creating an anthropic matrix. In order to better understand the consequences of grazing in areas of campo rupestre and forest, the present study aimed to analyze changes in the vegetation of Cerrado and Atlantic Forest, in the Southern Espinhaço, between 1979 and 2015. The vegetation of the study area was identified as arboreal (forest), or herbaceous or shrubby (campo rupestre) by visual classification of a mosaic of aerial photographs from 1979 and the supervised classification of land use from a Landsat 8 image from 2015. Differences in vegetation were analyzed using a transition matrix based on the "Markov model", which indicated conversions of vegetation classes due to the misuse of land, mainly as pasture. The results indicate the conversion of arboreal vegetation area into areas of exotic herbaceous vegetation, and stability in the area of shrubby vegetation.

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Validação do mapeamento de uma área de floresta tropical com o uso imagens de videografia aérea e dados de levantamento de campo

Cited by 6 publications

References 15 publications

Multitemporal Analysis of Land Use and Coverage in the Low Course of the Araguaia River

Multitemporal Analysis of Land Use and Coverage in the Low Course of the Araguaia River

Estimation of Cork Production Usingaerial Imagery1

The Homogenization of two Different Natural Ecosystems by Conversion to Pasture in the Southern Espinhaço, Brazil

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