Spatial patterns and driving factors of carbon stocks in mangrove forests on Hainan Island, China

Y Meng, R Gou, J Bai… - Global Ecology and …, 2022 - Wiley Online Library
Aim Mangrove forests are important coastal wetlands for the blue carbon budget and play a
significant role in mitigating global climate change. However, spatial patterns of carbon …

Hazard assessment of earthquake disaster chains based on deep learning—A case study of Mao County, Sichuan province

Y Su, G Rong, Y Ma, J Chi, X Liu, J Zhang… - Frontiers in Earth …, 2022 - frontiersin.org
Chain disasters often cause greater casualties and economic losses than single disasters. It
plays an important role in the prevention and control to draw the susceptibility map and …

A Meta-Analysis of Remote Sensing Technologies and Methodologies for Crop Characterization

H Bahrami, H McNairn, M Mahdianpari, S Homayouni - Remote Sensing, 2022 - mdpi.com
Climate change and population growth risk the world's food supply. Annual crop yield
production is one of the most crucial components of the global food supply. Moreover, the …

Forest height mapping using feature selection and machine learning by integrating multi-source satellite data in Baoding City, North China

N Zhang, M Chen, F Yang, C Yang, P Yang, Y Gao… - Remote Sensing, 2022 - mdpi.com
Accurate estimation of forest height is crucial for the estimation of forest aboveground
biomass and monitoring of forest resources. Remote sensing technology makes it …

Deep learning-based estimation of crop biophysical parameters using multi-source and multi-temporal remote sensing observations

H Bahrami, S Homayouni, A Safari, S Mirzaei… - Agronomy, 2021 - mdpi.com
Remote sensing data are considered as one of the primary data sources for precise
agriculture. Several studies have demonstrated the excellent capability of radar and optical …

Above ground tree biomass modeling using machine learning algorithms in western Terai Sal Forest of Nepal

B Singh, AK Verma, K Tiwari, R Joshi - Heliyon, 2023 - cell.com
The monitoring of forest biomass is a crucial biophysical parameter in forest ecosystems, as
it provides valuable information for managing forests sustainably and tracking carbon …

Analysis of Linkage between Long-Term Morphological Spatial Pattern Analysis and Vegetation Carbon Storage of Forests in Hunan, China

B Li, L Chen, Q Wang, P Wang - Forests, 2024 - mdpi.com
The carbon sequestration of forest ecosystems plays a pivotal role in constraining global
warming and mitigating climate change. The landscape pattern of forests is being altered …

A Multi-Variable Sentinel-2 Random Forest Machine Learning Model Approach to Predicting Perennial Ryegrass Biomass in Commercial Dairy Farms in Southeast …

EM Morse-McNabb, MF Hasan, S Karunaratne - Remote Sensing, 2023 - mdpi.com
One of the most valuable and nutritionally essential agricultural commodities worldwide is
milk. The European Union and New Zealand are the second-and third-largest exporting …

Spatial downscaling of forest above-ground biomass distribution patterns based on Landsat 8 OLI images and a multiscale geographically weighted regression …

N Wang, M Sun, J Ye, J Wang, Q Liu, M Li - Forests, 2023 - mdpi.com
Forest above-ground biomass (AGB) is an excellent indicator for the health status and
carbon sink potential of forest ecosystems, as well as the effectiveness of sustainable forest …

[HTML][HTML] Retrieval of grassland aboveground biomass across three ecoregions in China during the past two decades using satellite remote sensing technology and …

H Wu, S An, B Meng, X Chen, F Li - International Journal of Applied Earth …, 2024 - Elsevier
The aboveground biomass (AGB) is closely linked to the carbon cycle in grassland
ecosystems worldwide. Accurately quantifying AGB variations is thus essential for assessing …