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Conjunto de dados de congelamento e descongelamento da superfície terrestre na China de 2010 a 2021 com base em dados FY-3/MWRI

  • role： First author第一作者
  • Affiliation：

    Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of Forestry Remote Sensing and Information System of National Forestry and Grassland Administration, Beijing 100091, China

  • Email：wangjian@ifrit.ac.cn
  • Introduction：王健，研究方向为微波遥感建模及参数反演。E-mail： wangjian@ifrit.ac.cn
WANG Jian1,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

  • Email：jiang@bnu.edu.cn
  • Introduction：蒋玲梅，研究方向为微波遥感建模及参数反演。E-mail： jiang@bnu.edu.cn
JIANG Lingmei2*,  
  • Affiliation：

    National Satellite Meteorological Center, Beijing 100081, China

WU Shengli3,  
  • Affiliation：

    State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

ZHANG Cheng2,  
  • Affiliation：

    Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of Forestry Remote Sensing and Information System of National Forestry and Grassland Administration, Beijing 100091, China

CHEN Erxue1,  
  • Affiliation：

    Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of Forestry Remote Sensing and Information System of National Forestry and Grassland Administration, Beijing 100091, China

ZHAO Lei1,  
  • Affiliation：

    Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, State Key Laboratory of Efficient Production of Forest Resources, Key Laboratory of Forestry Remote Sensing and Information System of National Forestry and Grassland Administration, Beijing 100091, China

FAN Yaxiong1,  
  • Affiliation：

    National Satellite Meteorological Center, Beijing 100081, China

SUN Ling3,  
  • Affiliation：

    National Satellite Meteorological Center, Beijing 100081, China

ZHANG Peng3

Resumo

O congelamento e descongelamento da superfície terrestre são variáveis importantes em sistemas como o ciclo da água e o ciclo do carbono, e o domínio preciso do estado do congelamento e descongelamento da superfície e suas variações espaço-temporais é de grande importância para pesquisas sobre processos hidrológicos, mudanças climáticas, ecologia, etc. Os produtos atuais de congelamento e descongelamento apresentam desempenho instável em regiões extensas com terreno, clima e condições do solo complexos, e a precisão ainda não atende aos requisitos de aplicação prática. Portanto, visando resolver os problemas atuais dos produtos de congelamento e descongelamento, para obter dados de congelamento e descongelamento de alta precisão na China, este estudo utilizou dados recalibrados dos radiômetros de imagens de micro-ondas Fengyun 3B (FY-3B) e Fengyun 3D (FY-3D), com um algoritmo discriminante dinâmico desenvolvido combinando algoritmos de detecção de borda e de congelamento e descongelamento como o algoritmo principal, e um algoritmo de limiar sazonal como auxiliar, para preparar um conjunto de dados do estado de congelamento e descongelamento da superfície na China de 2010 a 2021. A precisão geral deste conjunto de dados foi validada utilizando dados medidos da temperatura do solo a 5 cm de estações de observação distribuídas no Planalto do Tibete, no rio Genhe no Nordeste e na região de Saihanba no Norte da China. Os resultados da validação da precisão mostram que o conjunto de dados do congelamento e descongelamento produzido neste estudo apresenta desempenho estável em diferentes estações e regiões climáticas, com uma precisão geral superior a 86%. Com base na verificação completa deste conjunto de dados, foi realizada uma análise das variações espaço-temporais do congelamento e descongelamento da superfície na China durante dez anos (2011–2020) e explorada a correlação entre as variações do congelamento e descongelamento da superfície e a produtividade primária líquida (NPP) e a produtividade primária bruta (GPP) da vegetação. Os resultados mostraram que a NPP e a GPP da vegetação estão negativamente correlacionadas com o primeiro dia anual de fusão e com o número de dias anuais congelados, com coeficiente de determinação entre 0,52 e 0,72; quanto mais cedo começa a fusão, menor o número de dias congelados por ano e maiores são a NPP e a GPP anuais da vegetação, indicando que este conjunto de dados tem certo potencial para avaliação do estoque de carbono dos ecossistemas vegetais e mudanças climáticas. Além disso, o conjunto de dados construído neste estudo também pode fornecer dados de estado de congelamento e descongelamento de alta precisão para estudos em larga escala sobre erosão do solo, mudanças climáticas, processos hidrológicos, entre outros. O conjunto de dados é armazenado em formato de arquivo H5, o caminho de download é DOI:10.11888/Cryos.tpdc.300445.

Palavras-chave

Conjunto de dados de congelamento e descongelamento da superfície; FY-3B; FY-3D; radiômetro de imagens de micro-ondas; algoritmo discriminante dinâmico de congelamento e descongelamento

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