Remote sensing in forestry: current challenges, considerations and directions

FE Fassnacht, JC White, MA Wulder… - … An International Journal …, 2024 - academic.oup.com
Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …

Are we ready for a National Forest Information System? State of the art of forest maps and airborne laser scanning data availability in Italy

G D'Amico, E Vangi, S Francini, F Giannetti, A Nicolaci… - IForest, 2021 - flore.unifi.it
Forest planning, forest management, and forest policy require updated, reliable, and
harmonized spatial datasets. In Italy a national geographic Forest Information System (FIS) …

Integrating GEDI and Landsat: Spaceborne lidar and four decades of optical imagery for the analysis of forest disturbances and biomass changes in Italy

S Francini, G D'Amico, E Vangi, C Borghi, G Chirici - Sensors, 2022 - mdpi.com
Forests play a prominent role in the battle against climate change, as they absorb a relevant
part of human carbon emissions. However, precisely because of climate change, forest …

[HTML][HTML] National tree species mapping using Sentinel-1/2 time series and German National Forest Inventory data

L Blickensdörfer, K Oehmichen, D Pflugmacher… - Remote Sensing of …, 2024 - Elsevier
Spatially explicit and detailed information on tree species composition is critical for forest
management, nature conservation and the assessment of forest ecosystem services. In …

Integrating Sentinel-1 and 2 with LiDAR data to estimate aboveground biomass of subtropical forests in northeast Guangdong, China

L Zhang, X Zhang, Z Shao, W Jiang… - International Journal of …, 2023 - Taylor & Francis
Accurate monitoring of forest aboveground biomass (AGB) is vital for sustainable forest
management. Generally, the AGB is estimated by combining satellite images and field …

Large-scale high-resolution yearly modeling of forest growing stock volume and above-ground carbon pool

E Vangi, G D'Amico, S Francini, C Borghi… - … Modelling & Software, 2023 - Elsevier
Abstract Within the Paris Agreement's Enhanced Transparency Framework, consistent data
collections are the prerequisite for a successful reporting of GHG emissions. For such …

National mapping and estimation of forest area by dominant tree species using Sentinel-2 data

J Breidenbach, LT Waser… - Canadian Journal of …, 2021 - cdnsciencepub.com
Nation-wide Sentinel-2 mosaics were used with National Forest Inventory (NFI) plot data for
modelling and subsequent mapping of spruce-, pine-, and deciduous-dominated forest in …

Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time series

G Chirici, F Giannetti, E Mazza, S Francini… - Annals of Forest …, 2020 - Springer
Key message This work analyses the rate of recovery of the spectral signal from clearcut
areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis …

[HTML][HTML] Improved estimation of forest stand volume by the integration of GEDI LiDAR data and multi-sensor imagery in the Changbai Mountains Mixed forests …

L Chen, C Ren, B Zhang, Z Wang, M Liu, W Man… - International Journal of …, 2021 - Elsevier
Forest stand volume is a vital indicator of productivity and carbon storage. Conventionally,
stand volume is estimated from field samples, Synthetic Aperture Radar (SAR), and optical …

The Three Indices Three Dimensions (3I3D) algorithm: a new method for forest disturbance mapping and area estimation based on optical remotely sensed imagery

S Francini, RE McRoberts, F Giannetti… - … Journal of Remote …, 2021 - Taylor & Francis
Although estimating forest disturbance area is essential in the context of carbon cycle
assessments and for strategic forest planning projects, official statistics are currently not …