High-resolution forest age mapping based on forest height maps derived from GEDI and ICESat-2 space-borne lidar data

X Lin, R Shang, JM Chen, G Zhao, X Zhang… - Agricultural and Forest …, 2023 - Elsevier
Forest age is a key parameter for estimating forest growth and carbon uptake and for forest
management. Remote sensing provides indirect but useful information for mapping forest …

Improved object-based estimation of forest aboveground biomass by integrating LiDAR data from GEDI and ICESat-2 with multi-sensor images in a heterogeneous …

L Chen, C Ren, G Bao, B Zhang, Z Wang, M Liu… - Remote Sensing, 2022 - mdpi.com
Accurate and effective mapping of forest aboveground biomass (AGB) in heterogeneous
mountainous regions is a huge challenge but an urgent demand for resource managements …

[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 …

Remote sensing applications in monitoring of protected areas

Y Wang, Z Lu, Y Sheng, Y Zhou - Remote Sensing, 2020 - mdpi.com
Protected areas (PAs) have been established worldwide for achieving long-term goals in the
conservation of nature with the associated ecosystem services and cultural values. Globally …

Multi-sensor prediction of stand volume by a hybrid model of support vector machine for regression kriging

L Chen, C Ren, B Zhang, Z Wang - Forests, 2020 - mdpi.com
Quantifying stand volume through open-access satellite remote sensing data supports
proper management of forest stand. Because of limitations on single sensor and support …

Towards forest condition assessment: evaluating small-footprint full-waveform airborne laser scanning data for deriving forest structural and compositional metrics

MJ Sumnall, RA Hill, SA Hinsley - Remote Sensing, 2022 - mdpi.com
Spatial data on forest structure, composition, regeneration and deadwood are required for
informed assessment of forest condition and subsequent management decisions. Here, we …

[PDF][PDF] ESTIMATION OF SURFACE ELEVATION CHANGES UNDERNEATH MANGROVE CANOPY THROUGH GEO SPATIAL AND GEOMORPHOLOGICAL …

NBIN MOHAMAD - 2022 - eprints.utm.my
Estimating surface elevation changes in mangrove forests is dynamic because it is barely
visible physically and because of the canopy-covered factor that restricts aerial monitoring. It …

Forest Health Evaluation Based on Big Data Analysis and Multi-source Forest Factors: A Case Study of the Democratic People's Republic of China

W Ma, D Piao - 2022 6th Annual International Conference on …, 2022 - ieeexplore.ieee.org
In recent years, the massive trades between China and its neighboring countries have
promoted the development of forestry and economic reforms in many countries, but have …