Green space in health research: an overview of common indicators of greenness
Human environments influence human health in both positive and negative ways. Green
space is considered an environmental exposure that confers benefits to human health and …
space is considered an environmental exposure that confers benefits to human health and …
[HTML][HTML] Spatiotemporal pattern of global forest change over the past 60 years and the forest transition theory
RC Estoque, R Dasgupta, K Winkler… - Environmental …, 2022 - iopscience.iop.org
Forest ecosystems play an indispensable role in addressing various pressing sustainability
and social-ecological challenges such as climate change and biodiversity loss. However …
and social-ecological challenges such as climate change and biodiversity loss. However …
[HTML][HTML] Using social media data and machine learning to map recreational ecosystem services
Crowdsourced geotagged social media data and machine learning approaches have
emerged as promising tools for mapping ecosystem services, especially cultural ecosystem …
emerged as promising tools for mapping ecosystem services, especially cultural ecosystem …
Forest Change in China: A Review
X Wei, R Liu, Y Liu - Chinese Geographical Science, 2023 - Springer
Forests and the dynamic changes play decisive roles in soil erosion prevention, biodiversity
conservation and climate warming mitigation, and are crucial for China to achieve carbon …
conservation and climate warming mitigation, and are crucial for China to achieve carbon …
A global annual fractional tree cover dataset during 2000–2021 generated from realigned MODIS seasonal data
Y Liu, R Liu, J Chen, X Wei, L Qi, L Zhao - Scientific Data, 2024 - nature.com
Fractional tree cover facilitates the depiction of forest density and its changes. However, it
remains challenging to estimate tree cover from satellite data, leading to substantial …
remains challenging to estimate tree cover from satellite data, leading to substantial …
Monitoring forest dynamics in Africa during 2000–2020 using a remotely sensed fractional tree cover dataset
X Wei, Y Liu, L Qi, J Chen, G Wang… - International Journal of …, 2023 - Taylor & Francis
Africa is covered with extensive woodlands, savannas and rainforests. The tree cover of
these biomes has been undergoing substantial changes in recent decades. However, the …
these biomes has been undergoing substantial changes in recent decades. However, the …
Global mapping of fractional tree cover for forest cover change analysis
Y Liu, R Liu, L Qi, J Chen, J Dong, X Wei - ISPRS Journal of …, 2024 - Elsevier
Fractional tree cover facilitates the characterization of forest cover changes using satellite
data. However, there are still substantial challenges in generating fractional tree cover …
data. However, there are still substantial challenges in generating fractional tree cover …
Inversion of nitrogen concentration in apple canopy based on UAV hyperspectral images
W Li, X Zhu, X Yu, M Li, X Tang, J Zhang, Y Xue… - Sensors, 2022 - mdpi.com
As the major nutrient affecting crop growth, accurate assessing of nitrogen (N) is crucial to
precise agricultural management. Although improvements based on ground and satellite …
precise agricultural management. Although improvements based on ground and satellite …
Combining post-disturbance land cover and tree canopy cover from Landsat time series data for mapping deforestation, forest degradation, and recovery across …
Mapping of deforestation, forest degradation, and recovery is essential to characterize
country-level forest change and formulate mitigation actions. Previous studies have mainly …
country-level forest change and formulate mitigation actions. Previous studies have mainly …
Monitoring tropical forest change using tree canopy cover time series obtained from Sentinel-1 and Sentinel-2 data
The most practical method for monitoring forest change over large areas is using remotely
sensed data. However, given that current techniques are somewhat weak for monitoring …
sensed data. However, given that current techniques are somewhat weak for monitoring …