Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery

M García, S Saatchi, S Ustin, H Balzter - International journal of applied …, 2018 - Elsevier
Spatially-explicit information on forest structure is paramount to estimating aboveground
carbon stocks for designing sustainable forest management strategies and mitigating …

Comparative analysis of remote sensing and geo-statistical techniques to quantify forest biomass

N Ahmad, S Ullah, N Zhao, F Mumtaz, A Ali, A Ali… - Forests, 2023 - mdpi.com
Accurately characterizing carbon stock is vital for reporting carbon emissions from forest
ecosystems. We studied the estimation of biomass using Sentinel-2 remote sensing data in …

Spatial prediction of basal area and volume in Eucalyptus stands using Landsat TM data: an assessment of prediction methods

AA dos Reis, MC Carvalho, JM de Mello… - New Zealand Journal of …, 2018 - Springer
Background In fast-growing forests such as Eucalyptus plantations, the correct determination
of stand productivity is essential to aid decision making processes and ensure the efficiency …

Spatial distribution of aboveground carbon stock of the arboreal vegetation in Brazilian biomes of Savanna, Atlantic Forest and Semi-Arid Woodland

HF Scolforo, JRS Scolforo, CR Mello, JM Mello… - PLoS …, 2015 - journals.plos.org
The objective of this study was to map the spatial distribution of aboveground carbon stock
(using Regression-kriging) of arboreal plants in the Atlantic Forest, Semi-arid woodland, and …

Integrating airborne laser scanning data, space-borne radar data and digital aerial imagery to estimate aboveground carbon stock in Hyrcanian forests, Iran

M Poorazimy, S Shataee, RE McRoberts… - Remote Sensing of …, 2020 - Elsevier
A framework for estimating aboveground forest carbon stock (AFCS) is required for
measurement, reporting, and verification (MRV) systems under the United Nations …

Predicting grassland leaf area index in the meadow steppes of northern china: A comparative study of regression approaches and hybrid geostatistical methods

Z Li, J Wang, H Tang, C Huang, F Yang, B Chen… - Remote Sensing, 2016 - mdpi.com
Leaf area index (LAI) is a key parameter used to describe vegetation structures and is widely
used in ecosystem biophysical process and vegetation productivity models. Many algorithms …

Geostatistical modeling using LiDAR-derived prior knowledge with SPOT-6 data to estimate temperate forest canopy cover and above-ground biomass via stratified …

W Li, Z Niu, X Liang, Z Li, N Huang, S Gao… - International Journal of …, 2015 - Elsevier
Forest canopy cover (CC) and above-ground biomass (AGB) are important ecological
indicators for forest monitoring and geoscience applications. This study aimed to estimate …

Spatial interpolators for improving the mapping of carbon stock of the arboreal vegetation in Brazilian biomes of Atlantic forest and Savanna

HF Scolforo, JRS Scolforo, JM de Mello… - Forest Ecology and …, 2016 - Elsevier
The aim of this study was to map aboveground carbon stock of arboreal vegetation in the
Savanna and Atlantic forest biomes in Minas Gerais State, Brazil, in order to assess the best …

Timber production assessment of a plantation forest: An integrated framework with field-based inventory, multi-source remote sensing data and forest management …

T Gao, J Zhu, S Deng, X Zheng, J Zhang… - International journal of …, 2016 - Elsevier
Timber production is the purpose for managing plantation forests, and its spatial and
quantitative information is critical for advising management strategies. Previous studies have …

Remote sensing-based biomass estimation

JMG Pizaña, JMN Hernández… - … Applications of Remote …, 2016 - books.google.com
Over the past two decades, one of the research topics in which many works have been done
is spatial modeling of biomass through synergies between remote sensing, forestry, and …