Prediction of forest aboveground biomass using an integrated approach of space-based parameters, and forest inventory data-Reference-Cited by-同舟云学术

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Prediction of forest aboveground biomass using an integrated approach of space-based parameters, and forest inventory data

Published:2022-10-31 Issue: Volume: Page:1-13
ISSN:2474-9508
Container-title:Geology, Ecology, and Landscapes
language:en
Short-container-title:Geology, Ecology, and Landscapes

Author:

Das Biswajit¹²^ORCID,Patnaik Santanu Kumar¹,Bordoloi Reetashree²,Paul Ashish²,Tripathi Om Prakash²³

Affiliation:

1. Department of Geography, Rajiv Gandhi University, Doimukh, India

2. Department of Forestry, North Eastern Regional Institute of Science and Technology (Deemed to Be University), Nirjuli, India

3. Department of Environmental Science, Mizoram University, Aizawl, India

Publisher

Informa UK Limited

Subject

Nature and Landscape Conservation,Geology,Ecology

Link

https://www.tandfonline.com/doi/pdf/10.1080/24749508.2022.2139484

Reference96 articles.

1. Forest soil carbon is threatened by intensive biomass harvesting

2. Model selection for ecologists: the worldviews of AIC and BIC

3. A new look at the statistical model identification

4. Scenarios of land use and land cover change for NW Amazonia: Impact on forest intactness

5. Estimating Aboveground Biomass on Private Forest Using Sentinel-2 Imagery

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning Model Effectiveness in Forecasting Limited-Size Aboveground Vegetation Biomass Time Series: Kenyan Grasslands Case Study;Agronomy;2024-02-08

2. Forest aboveground biomass estimation by GEDI and multi-source EO data fusion over Indian forest;International Journal of Remote Sensing;2024-02-02

3. Carbon Stock Assessment in Natural Forests and Plantations Using Geo-Informatics in Manipur, Northeast India;Agronomy;2023-07-30

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