Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

ZI Petrou, I Manakos, T Stathaki - Biodiversity and conservation, 2015 - Springer
Recognizing the imperative need for biodiversity protection, the convention on biological
diversity (CBD) has recently established new targets towards 2020, the so-called Aichi …

The current and future of terrestrial carbon balance over the Tibetan Plateau

T Wang, X Wang, D Liu, G Lv, S Ren, J Ding… - Science China Earth …, 2023 - Springer
The contemporary carbon balance over the Tibetan Plateau is highly uncertain with a ten-
fold difference between various estimates. In a warming world, the potential exists for a large …

Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data

T Huang, G Ou, Y Wu, X Zhang, Z Liu, H Xu, X Xu… - Remote Sensing, 2023 - mdpi.com
It is important to improve the accuracy of models estimating aboveground biomass (AGB) in
large areas with complex geography and high forest heterogeneity. In this study, k-nearest …

Integration of multi-resource remotely sensed data and allometric models for forest aboveground biomass estimation in China

H Huang, C Liu, X Wang, X Zhou, P Gong - Remote sensing of environment, 2019 - Elsevier
Quantification of forest aboveground biomass density (AGB) is useful in forest carbon cycle
studies, biodiversity protection and climate-change mitigation actions. However, a finer …

Comparison and evaluation of three methods for estimating forest above ground biomass using TM and GLAS data

K Liu, J Wang, W Zeng, J Song - Remote Sensing, 2017 - mdpi.com
Medium spatial resolution biomass is a crucial link from the plot to regional and global
scales. Although remote-sensing data-based methods have become a primary approach in …

Integrating multi-source remote sensing to assess forest aboveground biomass in the Khingan mountains of north-eastern China using machine-learning algorithms

X Wang, C Liu, G Lv, J Xu, G Cui - Remote Sensing, 2022 - mdpi.com
Forest aboveground biomass (AGB) is of great significance since it represents large carbon
storage and may reduce global climate change. However, there are still considerable …

[HTML][HTML] Canopy Height Integration for Precise Forest Aboveground Biomass Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo …

C Liu, H Huang, Z Zhang, W Fan, D Wu - Remote Sensing, 2024 - mdpi.com
Accurate estimates of forest aboveground biomass (AGB) are necessary for the accurate
tracking of forest carbon stock. Gaofen-7 (GF-7) is the first civilian sub-meter three …

Bamboo classification based on GEDI, time-series Sentinel-2 images and whale-optimized, dual-channel DenseNet: A case study in Zhejiang province, China

B Wang, H Zhao, X Wang, G Lyu, K Chen, J Xu… - ISPRS Journal of …, 2024 - Elsevier
Regional carbon sink estimation and local forest management require spatially explicit maps
of bamboo distribution. However, accurate bamboo mapping is challenging due to the …

Mapping vegetation heights in China using slope correction ICESat data, SRTM, MODIS-derived and climate data

H Huang, C Liu, X Wang, GS Biging, Y Chen… - ISPRS Journal of …, 2017 - Elsevier
Vegetation height is an important parameter for biomass assessment and vegetation
classification. However, vegetation height data over large areas are difficult to obtain. The …

A linearly approximated iterative Gaussian decomposition method for waveform LiDAR processing

G Mountrakis, Y Li - ISPRS journal of photogrammetry and remote sensing, 2017 - Elsevier
Full-waveform LiDAR (FWL) decomposition results often act as the basis for key LiDAR-
derived products, for example canopy height, biomass and carbon pool estimation, leaf area …