From single-to multi-modal remote sensing imagery interpretation: A survey and taxonomy

X Sun, Y Tian, W Lu, P Wang, R Niu, H Yu… - Science China Information …, 2023 - Springer
Modality is a source or form of information. Through various modal information, humans can
perceive the world from multiple perspectives. Simultaneously, the observation of remote …

Review of remote sensing-based methods for forest aboveground biomass estimation: Progress, challenges, and prospects

L Tian, X Wu, Y Tao, M Li, C Qian, L Liao, W Fu - Forests, 2023 - mdpi.com
Quantifying forest aboveground biomass (AGB) is essential for elucidating the global carbon
cycle and the response of forest ecosystems to climate change. Over the past five decades …

[HTML][HTML] The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations

M Santoro, O Cartus, N Carvalhais… - Earth System …, 2021 - essd.copernicus.org
The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest
inventory capacity. By combining multiple satellite observations of synthetic aperture radar …

Assessing of urban vegetation biomass in combination with LiDAR and high-resolution remote sensing images

Y Zhang, Z Shao - International Journal of Remote Sensing, 2021 - Taylor & Francis
The urban vegetation ecosystem is a vegetation ecosystem that is deeply influenced by
human beings. The rapid urbanization process brings a great influence on the growth …

[HTML][HTML] Hybrid model for estimating forest canopy heights using fused multimodal spaceborne LiDAR data and optical imagery

S Wang, C Liu, W Li, S Jia, H Yue - International Journal of Applied Earth …, 2023 - Elsevier
The forest canopy height is a key indicator for measuring global forest carbon stocks.
Spaceborne LiDAR, a satellite remote sensing technology, plays an essential role in large …

[HTML][HTML] Maps with 1 km resolution reveal increases in above-and belowground forest biomass carbon pools in China over the past 20 years

Y Chen, X Feng, B Fu, H Ma, CM Zohner… - Earth System …, 2023 - essd.copernicus.org
To quantify the ecological consequences of recent nationwide restoration efforts in China,
spatially explicit information on forest biomass carbon stock changes over the past 20 years …

Climate and large-sized trees, but not diversity, drive above-ground biomass in subtropical forests

KM Bordin, A Esquivel-Muelbert, RS Bergamin… - Forest Ecology and …, 2021 - Elsevier
Subtropical forests certainly contribute to terrestrial global carbon storage, but we have
limited understanding about the relative amounts and of the drivers of above-ground …

Machine learning and geostatistical approaches for estimating aboveground biomass in Chinese subtropical forests

H Su, W Shen, J Wang, A Ali, M Li - Forest Ecosystems, 2020 - Springer
Background Aboveground biomass (AGB) is a fundamental indicator of forest ecosystem
productivity and health and hence plays an essential role in evaluating forest carbon …

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 map** of forest aboveground biomass (AGB) in heterogeneous
mountainous regions is a huge challenge but an urgent demand for resource managements …

A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest

AJ Prakash, MD Behera, SM Ghosh, A Das… - Ecological …, 2022 - Elsevier
Mangroves are well-recognized for their very high carbon sequestration potential. However,
studies on their role in global carbon cycling and climate change are hindered due to lack of …