Narrow band based and broadband derived vegetation indices using Sentinel-2 Imagery to estimate vegetation biomass

AB Imran, K Khan, N Ali, N Ahmad, A Ali… - Global Journal of …, 2020 - gjesm.net
Forest's ecosystem is one of the most important carbon sink of the terrestrial ecosystem.
Remote sensing technology provides robust techniques to estimate biomass and solve …

Estimating natural grassland biomass by vegetation indices using Sentinel 2 remote sensing data

M Guerini Filho, TM Kuplich… - International Journal of …, 2020 - Taylor & Francis
Estimation of natural grassland biomass was carried out in a region located in the Brazilian
Pampa, using field and remote sensing data and statistical models. The study was …

Evaluation of the saturation property of vegetation indices derived from sentinel-2 in mixed crop-forest ecosystem

A Aklilu Tesfaye, B Gessesse Awoke - Spatial Information Research, 2021 - Springer
The saturation property of vegetation indices posed a known limitation and this study was
motivated to understand the saturation property of three widely used vegetation indices in …

Narrow band vegetation indices overcome the saturation problem in biomass estimation

O Mutanga, AK Skidmore - International journal of remote sensing, 2004 - Taylor & Francis
Remotely sensed vegetation indices such as NDVI, computed using the red and near
infrared bands have been used to estimate pasture biomass. These indices are of limited …

Estimation of above-ground biomass in tropical afro-montane forest using Sentinel-2 derived indices

S Muhe, M Argaw - Environmental Systems Research, 2022 - Springer
Empirical analyses were common methods for forest biomass estimation. Lately, satellite
images are popularly used to study different attributes of forest vegetation. Sentinel-2 image …

Estimating Aboveground Biomass on Private Forest Using Sentinel‐2 Imagery

Askar, N Nuthammachot, W Phairuang… - Journal of …, 2018 - Wiley Online Library
Private forests have a crucial role in maintaining the functioning of the Indonesian forest
ecosystem especially because of the continuous degradation of natural forests. Private …

Neural network-based modelling for forest biomass assessment

S Nandy, R Singh, S Ghosh, T Watham… - Carbon …, 2017 - Taylor & Francis
Forest biomass is an important parameter for assessing the status of forest ecosystems. In
the present study, forest biomass was assessed by integrating remotely-sensed satellite …

High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

O Mutanga, E Adam, MA Cho - … Journal of Applied Earth Observation and …, 2012 - Elsevier
The saturation problem associated with the use of NDVI for biomass estimation in high
canopy density vegetation is a well known phenomenon. Recent field spectroscopy …

[HTML][HTML] Comparative analysis of different vegetation indices with respect to atmospheric particulate pollution using sentinel data

SS Somvanshi, M Kumari - Applied Computing and Geosciences, 2020 - Elsevier
Several remote sensing based indices have been developed for studying vegetation using
varied combinations of spectral bands. However, for regions like Gautam Buddha Nagar …

Evaluating the accuracy of spectral indices from Sentinel-2 data for estimating forest biomass in urban areas of the tropical savanna

B Adamu, A Rasul, SJ Whanda, P Headboy… - Remote Sensing …, 2021 - Elsevier
Over the past decades, there has been significant challenges in the detection and
quantification of urban forest biomass due to limitation of traditional methods (eg Field …