Sentinel-2 data for land cover/use mapping: A review

D Phiri, M Simwanda, S Salekin, VR Nyirenda… - Remote Sensing, 2020 - mdpi.com
The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …

A review of the applications of remote sensing in fire ecology

DM Szpakowski, JLR Jensen - Remote sensing, 2019 - mdpi.com
Wildfire plays an important role in ecosystem dynamics, land management, and global
processes. Understanding the dynamics associated with wildfire, such as risks, spatial …

Comparison of Sentinel-2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index

L Korhonen, P Packalen, M Rautiainen - Remote sensing of environment, 2017 - Elsevier
We present the first comparison of Sentinel-2A (S2) MSI (Multi-Spectral Instrument) and
Landsat 8 (L8) OLI (Operational Land Imager) data in the retrieval of forest canopy cover …

Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery

EMO Silveira, VC Radeloff, S Martinuzzi… - Remote Sensing of …, 2023 - Elsevier
Detailed maps of forest structure attributes are crucial for sustainable forest management,
conservation, and forest ecosystem science at the landscape level. Mapping the structure of …

Understanding forest health with remote sensing-part I—a review of spectral traits, processes and remote-sensing characteristics

A Lausch, S Erasmi, DJ King, P Magdon, M Heurich - Remote Sensing, 2016 - mdpi.com
Anthropogenic stress and disturbance of forest ecosystems (FES) has been increasing at all
scales from local to global. In rapidly changing environments, in-situ terrestrial FES …

Red-edge band vegetation indices for leaf area index estimation from Sentinel-2/MSI imagery

Y Sun, Q Qin, H Ren, T Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The estimation of leaf area index (LAI) from optical remotely sensed data based on
vegetation indices (VIs) is a quick and practical approach to acquire LAI over vast areas …

Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam

ATN Dang, S Nandy, R Srinet, NV Luong, S Ghosh… - Ecological …, 2019 - Elsevier
Forest biomass is one of the key measurement for carbon budget accounting, carbon flux
monitoring, and climate change studies. Hence, it is essential to develop a credible …

Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data

GV Laurin, J Balling, P Corona… - Journal of Applied …, 2018 - spiedigitallibrary.org
The objective of this research is to test Sentinel-1 SAR multitemporal data, supported by
multispectral and SAR data at other wavelengths, for fine-scale mapping of above-ground …

[HTML][HTML] Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States

LA Brown, R Fernandes, N Djamai, C Meier… - ISPRS Journal of …, 2021 - Elsevier
Abstract The Sentinel-2 Level 2 Prototype Processor (SL2P) is made available to users for
the retrieval of vegetation biophysical variables including leaf area index (LAI) from …

Assessing the relationships between growing stock volume and Sentinel-2 imagery in a Mediterranean forest ecosystem

I Chrysafis, G Mallinis, S Siachalou… - Remote Sensing …, 2017 - Taylor & Francis
In this study, a preliminary test was implemented with the purpose of evaluating Sentinel-2
MultiSpectral Instrument (MSI) imagery for forest growing stock volume (GSV) estimation …