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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Journal ArticleDOI
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...
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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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Proceedings ArticleDOI
SVM optimization: inverse dependence on training set size
TL;DR: Tests are presented demonstrating how a simple subgradient descent approach indeed displays such behavior, at least for linear kernels, as the runtime of SVM optimization should decrease as the size of the training data increases.
Journal ArticleDOI
Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data
TL;DR: The main objective of this paper is to provide a review of research that is being carried out to retrieve two critically important terrestrial biophysical quantities from remote sensing data using machine learning methods.
Journal ArticleDOI
A framework for mapping tree species combining Hyperspectral and LiDAR data: role of selected classifiers and sensor across three spatial scales
TL;DR: It can be concluded that tree species mapping from imaging spectroscopy for forest sites comparable to the one under investigation is possible with reliable accuracies not only from airborne but also from spaceborne imaging Spectroscopy datasets.
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A review of remote sensing technology in support of the Kyoto Protocol
TL;DR: An overview of the role of remote sensing technology in the context of the United Nations Framework Convention on Climate Change (UNFCCC) Kyoto Protocol and is based largely on discussions held at an international workshop in MI, USA and the report that followed.
Journal ArticleDOI
Allometric models for tree volume and total aboveground biomass in a tropical humid forest in Costa Rica.
Milena Segura,Markku Kanninen +1 more
TL;DR: In this article, allometric equations for the estimation of tree volume and aboveground biomass in a tropical humid forest were developed based on direct measurements of 19 individuals of seven tree species in Northern Costa Rica, and best-fit equations for stem and total volume were of logarithmic form, with diameter at breast height (R2 = 0.66 − 0.81) as an independent variable.