基本信息
views: 17

Bio
Forests have multiple important roles as a timber resource, as habitat for many species, and for recreation. They are a fundamental part of Earth's climate system because they take up CO2 from the atmosphere through photosynthesis and store the absorbed carbon in leaves, stems, roots and soils. Many questions remain about the amount of carbon stored by forests and how this is affected by climate change; disturbance from wind or fire damage, pests or diseases; and due to management decisions or deforestation.
For these reasons countries are required to produce reliable data on carbon storage through National Forest Inventories (NFI), but these data are often neither timely nor accurate. Collection of forest data is wrought with difficulties. NFIs rely on sample plot surveys, methods may differ between countries, and surveys are often infrequent due to time and cost. There is therefore a real need to develop consistent and accurate methods for forest assessments.
Satellites observe the entire planet and collect data from forests globally. Using data from satellites or aircraft for forest inventories has a major advantage since data are collected by one instrument and inventories for different places are therefore similar. Moreover, data are collected at frequent intervals and this allows timely updates of forest inventories.
The project uses techniques which assess the structure of forests in order to estimate important forest parameters, as well as observations over many years to identify trends in our forests’ histories e.g. change due to forest health or harvesting. In partnership with Forest Research, the GB Forestry Commission Research Agency, new methods have been developed to estimate, update and improve the accuracy of inventory information held about our forests. These in turn have been used to drive models which provide forecasts of timber production, identify wind risk, and predict fire susceptibility to inform management decisions.
Research Interests
Papers共 79 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
International Journal of Applied Earth Observations and Geoinformation (2025): 104411
Cited0Views0Bibtex
0
0
FORESTSno. 2 (2024)
REMOTE SENSINGno. 22 (2024)
REMOTE SENSINGno. 20 (2023)
Luiza Marina Esteves de Carvalho, Alessandra Melo, Glauco Jose de Matos Umbelino,Jan-Peter Mund,Jhonathan Gomes dos Santos,Jacqueline Rosette,Daniel Silveira,Eric Bastos Gorgens
Southern Forests a Journal of Forest Scienceno. 4 (2021): 303-309
Forestsno. 12 (2021): 1724-1724
Eric Bastos Görgens,Matheus Henrique Nunes,Toby Jackson,David A. Coomes,Michael Keller,Cristiano Rodrigues Reis,Rubén Valbuena,J. Rosette,Danilo Roberti Alves de Almeida,Bruno Giménez,Roberta Cantinho, Alline Zagnolli Motta,Mauro Assis,Francisca Rocha de Souza Pereira,Gustavo Spanner,Níro Higuchi,Jean Pierre Ometto
Zenodo (CERN European Organization for Nuclear Research) (2020)
Load More
Author Statistics
#Papers: 79
#Citation: 2578
H-Index: 27
G-Index: 50
Sociability: 5
Diversity: 1
Activity: 0
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn