Remote sensing of land change: A multifaceted perspective
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 …
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 …
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
Detailed information on spatial patterns of tree species diversity (TSD) is essential for
biodiversity assessment, forest disturbance monitoring, and the management and …
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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
Accurate and reliable information on tree species composition and distribution is crucial in
operational and sustainable forest management. Developing a high-precision tree species …
operational and sustainable forest management. Developing a high-precision tree species …