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         <gco:CharacterString>NOME DA CAMADA: Classificação do uso do solo (2010)

DESCRIÇÃO: Representação matricial das classes de uso do solo da região do Oeste da Bahia para o ano de 2010.

FORMATO: Raster

TIPO: Byte

ATRIBUTOS:
(1) - Formações Florestais
(2) - Formações savânicas
(3) - Formações campestres
(4) - Agricultura ou pastagem
(5) - Agricultura de sequeiro
(6) - Agricultura irrigada
(7) - Pastagem
(8) - Corpos d&#39;água
(9) - Área urbana/Construções rurais

EXTENSÃO GEOGRÁFICA (xMin,yMin; xMax, yMax): -46.6330735347222216,-15.4471601311111133 : -43.1301829158332453,-10.1812359355555309

SISTEMA DE COORDENADAS: Geográfico (longitude/latitude)
DATUM: SIRGAS 2000 (EPSG:4674)

PROJEÇÃO: Transversa de Mercator

ESCALA: 1:150000

RESOLUÇÃO: 30 metros

FAIXA TEMPORAL DOS DADOS: 01/01/2010 - 31/12/2010

LICENÇA: domínio público

PALAVRAS CHAVE: uso do solo, landuse

CATEGORIA: Informação geocientífica

FONTE DOS DADOS: O subprojeto que originou os dados é o &quot;Uso do Solo, Balanço de Carbono e Taxa de Recarga do Aquífero no Oeste da Bahia e Região do Aquífero Urucuia&quot;, oriundo do projeto &quot;Estudo de uso do solo e mensuração do potencial de fixação do carbono no solo em áreas irrigadas no Oeste da Bahia&quot;.
ORIGEM DOS DADOS: Os dados são oriundos das coleções de imagens de sensoriamento remoto das missões Landsat 5, 7 e 8 corrigidas dos efeitos da atmosfera utilizando o algortmo LaSRC (https://landsat.usgs.gov/sites/default/files/documents/lasrc_product_guide.pdf).


PROCEDIMENTO PARA OBTENÇÃO DOS DADOS: As coleções anuais de imagens foram reduzidas e filtradas para as bandas do vermelho, verde, azul, infra-vermelho próximo, infra-vermelho de onda curta 1 e 2, termal e qa (pixel quality) de acordo com cada satélite (Landsat 5, 7 ou 8). Foi feita uma redução por meio do cálculo da mediana de todos os valores em cada pixel na pilha de todas as bandas correspondentes ao período de 01/04 a 01/09 para obter uma imagem representativa aproximada do período seco do Cerrado. Regiões amostrais foram definidas na imagem com auxílio de 102 amostras coletadas (verdades de campo) para a região no ano de 2017 de acordo com as classes de uso de 1 a 9 descritas nos atributos acima, totalizando 2707 polígonos. A classificação das imagens foi feita utilizando-se o classificador Random Forest por meio da API Python da plataforma Google Earth Engine. As amostras de treinamento e validação foram coletadas na imagem correspondente ao ano de 2017 (total de 41000 pontos aleatórios, sendo 20500 para o treinamento e 20500 para a validação). As imagens de todos os anos foram processadas com as mesmas amostras e 100 árvores de decisão. A validação dos dados foi obtida para 2017 utilizando as verdades de campo e o conjunto de amostras de validação. A validação dos demais anos foi feita por meio de comparações com os dados de censo agrícola.

ACURÁCIA DA CLASSIFICAÇÃO: r² = 0.94

RESPONSÁVEL PELO PROCESSAMENTO: Fernando Martins Pimenta (fernando.m.pimenta@gmail.com).

ELABORAÇÃO DO METADADO: Fernando Martins Pimenta (fernando.m.pmenta@gmail.com), Marina Castro da Silva (marina.silva2@ufv.br).

REVISÃO DO METADADO: Fernando Martins Pimenta (fernando.m.pimenta@gmail.com), Marcos Heil Costa (mhcosta@ufv.br).

STATUS: versão 32

DATA DA VERSÃO: 1/06/2020
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