Aboveground biomass map** by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests

J Guerra-Hernández, LL Narine, A Pascual… - GIScience & Remote …, 2022 - Taylor & Francis
ABSTRACT The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) provides an
extraordinary opportunity to support global large-scale forest carbon map**, but further …

[HTML][HTML] From simple linear regression to machine learning methods: Canopy cover modelling of a young forest using planet data

A Gyawali, H Adhikari, M Aalto, T Ranta - Ecological Informatics, 2024 - Elsevier
Accurate canopy cover estimation is essential for mature and early-stage young forests, as it
guides forest management and silvicultural activities necessary for their growth and …

[HTML][HTML] A novel ICESat-2 signal photon extraction method based on convolutional neural network

W Qin, Y Song, Y Zou, H Zhu, H Guan - Remote Sensing, 2024 - mdpi.com
When it comes to the application of the photon data gathered by the Ice, Cloud, and Land
Elevation Satellite-2 (ICESat-2), accurately removing noise is crucial. In particular …

Optimizing ground photons for canopy height extraction from ICESat-2 data in mountainous dense forests

R Zhao, W Ni, Z Zhang, H Dai, C Yang, Z Li… - Remote Sensing of …, 2023 - Elsevier
The ICESat-2 data products work well in extracting terrain elevations and canopy heights in
boreal forests. However, identifying ground photons in mountainous dense forests remains a …

[HTML][HTML] Derivation and Evaluation of LAI from the ICESat-2 Data over the NEON Sites: The Impact of Segment Size and Beam Type

Y Wang, H Fang - Remote Sensing, 2024 - mdpi.com
The leaf area index (LAI) is a critical variable for forest ecosystem processes. Passive optical
and active LiDAR remote sensing have been used to retrieve LAI. LiDAR data have good …

[HTML][HTML] A comparison of machine learning and geostatistical approaches for map** forest canopy height over the southeastern US using ICESat-2

K Tiwari, LL Narine - Remote Sensing, 2022 - mdpi.com
The availability of canopy height information in the Ice, Cloud, and Land Elevation Satellite-
2's (ICESat-2's) land and vegetation product, or ATL08, presents opportunities for …

A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation map** throughout the Canadian boreal forest

N Pontone, K Millard, DK Thompson… - Remote sensing in …, 2024 - Wiley Online Library
Peatlands in the Canadian boreal forest are being negatively impacted by anthropogenic
climate change, the effects of which are expected to worsen. Peatland types and sub …

[HTML][HTML] Accuracy fluctuations of ICESat-2 height measurements in time series

X Wang, X Liang, W Gong, P Häkli, Y Wang - International Journal of …, 2024 - Elsevier
Abstract The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) mission, spanning the
past five years, has collected extensive three-dimensional Earth observation data, facilitating …