Remote sensing of land change: A multifaceted perspective

Z Zhu, S Qiu, S Ye - Remote Sensing of Environment, 2022 - Elsevier
The discipline of land change science has been evolving rapidly in the past decades.
Remote sensing played a major role in one of the essential components of land change …

Mapping of urban vegetation with high-resolution remote sensing: A review

R Neyns, F Canters - Remote sensing, 2022 - mdpi.com
Green space is increasingly recognized as an important component of the urban
environment. Adequate management and planning of urban green space is crucial to …

Mapping tree species diversity in temperate montane forests using Sentinel-1 and Sentinel-2 imagery and topography data

X Liu, J Frey, C Munteanu, N Still, B Koch - Remote Sensing of …, 2023 - Elsevier
Detailed information on spatial patterns of tree species diversity (TSD) is essential for
biodiversity assessment, forest disturbance monitoring, and the management and …

[HTML][HTML] Mapping tree species using advanced remote sensing technologies: A state-of-the-art review and perspective

R Pu - Journal of remote sensing, 2021 - spj.science.org
Timely and accurate information on tree species (TS) is crucial for developing strategies for
sustainable management and conservation of artificial and natural forests. Over the last four …

[HTML][HTML] Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system

P Dou, H Shen, Z Li, X Guan - … Journal of Applied Earth Observation and …, 2021 - Elsevier
Recently, time series image (TSI) has been reported to be an effective resource to mapping
fine land use/land cover (LULC), and deep learning, in particular, has been gaining growing …

Application of deep learning in multitemporal remote sensing image classification

X Cheng, Y Sun, W Zhang, Y Wang, X Cao, Y Wang - Remote Sensing, 2023 - mdpi.com
The rapid advancement of remote sensing technology has significantly enhanced the
temporal resolution of remote sensing data. Multitemporal remote sensing image …

Artificial intelligence in urban forestry—A systematic review

HC de Lima Araujo, FS Martins, TTP Cortese… - Urban Forestry & Urban …, 2021 - Elsevier
Environmental quality and the citizens' well-being largely depend on the urban forests. But
managing this natural capital is challenging for its biological complexity and interactions with …

[HTML][HTML] Mapping forest tree species and its biodiversity using EnMAP hyperspectral data along with Sentinel-2 temporal data: An approach of tree species …

R Vanguri, G Laneve, A Hościło - Ecological Indicators, 2024 - Elsevier
Forests play a crucial role in maintaining ecological balance and biodiversity, making the
accurate mapping of tree species and assessment of biodiversity indices essential for …

A new generation of sensors and monitoring tools to support climate-smart forestry practices

C Torresan, M Benito Garzón, M O'grady… - Canadian Journal of …, 2021 - cdnsciencepub.com
Climate-smart forestry (CSF) is an emerging branch of sustainable adaptive forest
management aimed at enhancing the potential of forests to adapt to and mitigate climate …

Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine Learning for Tree Species Classification in a Mountainous Forest

P Liu, C Ren, Z Wang, M Jia, W Yu, H Ren, C Xia - Remote Sensing, 2024 - mdpi.com
Accurate and reliable information on tree species composition and distribution is crucial in
operational and sustainable forest management. Developing a high-precision tree species …