Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning

F Zhao, R Sun, L Zhong, R Meng, C Huang… - Remote Sensing of …, 2022 - Elsevier
Compared with disturbance maps produced at annual or multi-year time steps, monthly
mapping of forest harvesting can provide more temporal details needed for studying the …

[HTML][HTML] Thirty-meter map of young forest age in China

Y Xiao, Q Wang, X Tong… - Earth System Science …, 2023 - essd.copernicus.org
Young forest age mapping at a fine spatial resolution is important for increasing the
accuracy of estimating land–atmosphere carbon fluxes and guiding forest management …

An algorithm of forest age estimation based on the forest disturbance and recovery detection

Z Huang, X Li, H Du, W Zou, G Zhou… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Forest age is a crucial parameter for evaluating the state and potential of carbon
sequestration in forest ecosystems. However, the lack of a time-series forest age will lead to …

Effects of burn severity and environmental conditions on post-fire regeneration in Siberian larch forest

T Chu, X Guo, K Takeda - Forests, 2017 - mdpi.com
Post-fire forest regeneration is strongly influenced by abiotic and biotic heterogeneity in the
pre-and post-fire environments, including fire regimes, species characteristics, landforms …

Monitoring tropical forest succession at landscape scales despite uncertainty in Landsat time series

TT Caughlin, C Barber, GP Asner… - Ecological …, 2021 - Wiley Online Library
Forecasting rates of forest succession at landscape scales will aid global efforts to restore
tree cover to millions of hectares of degraded land. While optical satellite remote sensing …

2020 forest age map for China with 30 m resolution

K Cheng, Y Chen, T Xiang, H Yang… - Earth System …, 2023 - essd.copernicus.org
A spatially explicit, high-resolution forest age map is critical for quantifying forest carbon
stock and carbon sequestration potential. Previous endeavours to estimate forest age in …

Long-time interval satellite image analysis on forest-cover changes and disturbances around protected area, zeya state nature reserve, in the russian far east

C Khatancharoen, S Tsuyuki, SV Bryanin, K Sugiura… - Remote Sensing, 2021 - mdpi.com
Boreal forest areas in the Russian Far East contained very large intact forests. This particular
area is considered one of the most productive and diverse forests in the boreal biome of the …

Estimation of burned area in the Northeastern Siberian boreal forest from a long-term data record (LTDR) 1982–2015 time series

JR García-Lázaro, JA Moreno-Ruiz, D Riaño, M Arbelo - Remote Sensing, 2018 - mdpi.com
A Bayesian classifier mapped the Burned Area (BA) in the Northeastern Siberian boreal
forest (70° N 120° E–60° N 170° E) from 1982 to 2015. The algorithm selected the 0.05°(~ 5 …

Strong cooling induced by stand-replacing fires through albedo in Siberian larch forests

D Chen, TV Loboda, T He, Y Zhang, S Liang - Scientific Reports, 2018 - nature.com
The Siberian larch forests, taking up about a fifth of the global boreal biome, are different
from the North American boreal forests in that they generally do not undergo a secondary …

Canopy-Height and Stand-Age Estimation in Northeast China at Sub-Compartment Level Using Multi-Resource Remote Sensing Data

X Guan, X Yang, Y Yu, Y Pan, H Dong, T Yang - Remote Sensing, 2023 - mdpi.com
Stand age is a significant factor when investigating forest resource management. How to
obtain age data at a sub-compartment level on a large regional scale conveniently and in …