[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 …

Machine learning assisted remote forestry health assessment: a comprehensive state of the art review

JS Estrada, A Fuentes, P Reszka… - Frontiers in plant …, 2023 - frontiersin.org
Forests are suffering water stress due to climate change; in some parts of the globe, forests
are being exposed to the highest temperatures historically recorded. Machine learning …

Mapping mangrove above-ground carbon using multi-source remote sensing data and machine learning approach in Loh Buaya, Komodo National Park, Indonesia

SS Rijal, TD Pham, S Noer'Aulia, MI Putera, N Saintilan - Forests, 2023 - mdpi.com
Mangrove forests provide numerous valuable ecosystem services and can sequester a large
volume of carbon that can help mitigate climate change impacts. Modeling mangrove carbon …

Integrating SAR, optical, and machine learning for enhanced coastal mangrove monitoring in Guyana

K Chan-Bagot, KE Herndon, A Puzzi Nicolau… - Remote Sensing, 2024 - mdpi.com
Mangrove forests are a biodiverse ecosystem known for a wide variety of crucial ecological
services, including carbon sequestration, coastal erosion control, and prevention of …

Environmental flow assessment for intermittent rivers supporting the most poleward mangroves

A Baubekova, A Ahrari, H Etemadi, B Klöve… - Science of the Total …, 2024 - Elsevier
The most vulnerable and dynamic ecosystems in terms of response to climate change and
fluctuations in hydrological conditions are mangroves, particularly those located on the edge …

Remote data for mapping and monitoring coastal phenomena and parameters: A systematic review

RM Cavalli - Remote Sensing, 2024 - mdpi.com
Since 1971, remote sensing techniques have been used to map and monitor phenomena
and parameters of the coastal zone. However, updated reviews have only considered one …

Understanding the natural expansion of white mangrove (Laguncularia racemosa) in an ephemeral inlet based on geomorphological analysis and remote sensing …

F Flores-de-Santiago, R Rodríguez-Sobreyra… - Journal of …, 2023 - Elsevier
The interactions between local tides and river discharges are crucial in the processes
related to the recruitment of mangrove propagules in estuarine systems. This investigation …

Characterising the distribution of mangroves along the southern coast of Vietnam using multi-spectral indices and a deep learning model

TV Tran, R Reef, X Zhu, A Gunn - Science of the Total Environment, 2024 - Elsevier
Mangroves are an ecologically and economically valuable ecosystem that provides a range
of ecological services, including habitat for a diverse range of plant and animal species …

Mangrove mapping and monitoring using remote sensing techniques towards climate change resilience

R Sunkur, K Kantamaneni, C Bokhoree… - Scientific Reports, 2024 - nature.com
Mangroves are amongst the richest ecosystems in the world providing valuable goods and
services to millions of people while enhancing the resilience of coastal communities against …

Estimation of anthocyanins in leaves of trees with apple mosaic disease based on hyperspectral data

Z Zhang, D Jiang, Q Chang, Z Zheng, X Fu, K Li, H Mo - Remote Sensing, 2023 - mdpi.com
Anthocyanins are severity indicators for apple mosaic disease and can be used to monitor
tree health. However, most of the current studies have focused on healthy leaves, and few …