Journal ArticleDOI
Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India
Ramandeep Kaur M. Malhi,Sultanova Umida Rustamovna,Akash Anand,Prashant K. Srivastava,Sumit Kumar Chaudhary,Manish Kumar Pandey,Mukund Dev Behera,Amit Kumar,Prachi Singh,G. Sandhya Kiran +9 more
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TLDR
In this paper, two nonparametric machine learning algorithms viz Support Vector Machines (SVMs) with different kernel functions were employed for the prediction of above ground biomass using different combinations of VV, VH, Normalized Difference Vegetation Index (NDVI) and Incidence Angle (IA).About:
This article is published in Advances in Space Research.The article was published on 2021-04-08. It has received 18 citations till now. The article focuses on the topics: Normalized Difference Vegetation Index & Random forest.read more
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Effect of vegetation structure on above ground biomass in tropical deciduous forests of Central India
Preet Lal,Amit Kumar,Purabi Saikia,Anup Das,C. Patnaik,Gajendra Kumar,Arvind Chandra Pandey,Parul Srivastava,Chandra Shekhar Dwivedi,Mohammed Latif Khan +9 more
TL;DR: In this article, the above ground biomass (AGB) of tropical deciduous forests in Central India using field-based techniques and spaceborne quad-pol ALOS PALSAR-2 L-band and dual-pol Sen...
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Monitoring landscape fragmentation and aboveground biomass estimation in Can Gio Mangrove Biosphere Reserve over the past 20 years
TL;DR: In this article , the temporal and spatial changes of landscape pattern of land use/land cover (LULC) over the past 20 years in Can Gio Mangrove Biosphere Reserve (MBR), southern Vietnam were analyzed based on remote sensing data.
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Remote sensing-based biomass estimation of dry deciduous tropical forest using machine learning and ensemble analysis.
TL;DR: In this article , the authors proposed a framework to monitor above-ground biomass (AGB) at finer scales using open-source satellite data, which integrated four machine learning (ML) techniques with field surveys and satellite data to provide continuous spatial estimates of AGB at finer resolution.
Journal ArticleDOI
Optimal band characterization in reformation of hyperspectral indices for species diversity estimation
Akash Anand,Sultanova Umida Rustamovna,Ramandeep Kaur M. Malhi,Prashant K. Srivastava,Prachi Singh,Ashwini N. Mudaliar,George P. Petropoulos,G. Sandhya Kiran +7 more
TL;DR: In this article, the authors provided modified hyperspectral indices through detection of optimum bands for estimating species diversity within Shoolpaneshwar Wildlife Sanctuary (SWS) in India.
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Estimating Individual Tree Above-Ground Biomass of Chinese Fir Plantation: Exploring the Combination of Multi-Dimensional Features from UAV Oblique Photos
TL;DR: Wang et al. as discussed by the authors proposed an approach to estimate IT-AGB by introducing the color space intensity information into a regression-based model that incorporates three-dimensional point cloud and two-dimensional spectrum feature variables, and the accuracy was evaluated using a leave-one-out cross-validation approach.
References
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2006 IPCC Guidelines for National Greenhouse Gas Inventories
TL;DR: The Task Force on National Greenhouse Gas Inventories (TFI) as mentioned in this paper was established by the Intergovernmental Panel on Climate Change (IPCC) at its 14th session (October 1998), to oversee the national greenhouse gas inventory (NGGIP) program.
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Monitoring and estimating tropical forest carbon stocks: making REDD a reality
TL;DR: In this article, a range of methods available to estimate national-level forest carbon stocks in developing countries are reviewed, including ground-based and remote-sensing measurements of forest attributes using allometric relationships.
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Root biomass allocation in the world's upland forests.
TL;DR: In this article, the root biomass density is estimated based on existing data from the literature and linear regression analysis is used to determine if a reliable method to estimate root density for forests could be developed.
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Aboveground Forest Biomass and the Global Carbon Balance
TL;DR: The long-term net flux of carbon between terrestrial ecosystems and the atmosphere has been dominated by two factors: changes in the area of forests and per hectare changes in forest biomass resulting from management and regrowth as discussed by the authors.
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The potential and challenge of remote sensing‐based biomass estimation
TL;DR: In this article, a review of previous research on remote sensing-based biomass estimation approaches and a discussion of existing issues influencing biomass estimation are valuable for further improving biomass estimation performance, especially in those study areas with complex forest stand structures and environmental conditions.