Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects
The saturation of spectral reflectance within densely vegetated regions is a renowned
challenge that has precluded the optimal use of broad-band remotely sensed data and its …
challenge that has precluded the optimal use of broad-band remotely sensed data and its …
Forestry big data: A review and bibliometric analysis
W Gao, Q Qiu, C Yuan, X Shen, F Cao, G Wang… - Forests, 2022 - mdpi.com
Due to improved data collection and processing techniques, forestry surveys are now more
efficient and accurate, generating large amounts of forestry data. Forestry Big Data (FBD) …
efficient and accurate, generating large amounts of forestry data. Forestry Big Data (FBD) …
[HTML][HTML] Map** tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning
The tree species composition (TSC) reflects a forest's tree species diversity and is relevant
for forest planning, biodiversity conservation, and forest resources management. Yet …
for forest planning, biodiversity conservation, and forest resources management. Yet …
Scale-dependent and driving relationships between spatial features and carbon storage and sequestration in an urban park of Zhengzhou, China
Research indicates that urban ecosystems can store large amounts of carbon. However, few
studies have examined how the spatial features of park greenspace affect its carbon …
studies have examined how the spatial features of park greenspace affect its carbon …
Modeling forest canopy cover: a synergistic use of Sentinel-2, aerial photogrammetry data, and machine learning
Forest canopy cover (FCC) is an important ecological parameter of forest ecosystems, and is
correlated with forest characteristics, including plant growth, regeneration, biodiversity, light …
correlated with forest characteristics, including plant growth, regeneration, biodiversity, light …
Comparison of GEDI LiDAR data capability for forest canopy height estimation over broadleaf and needleleaf forests
The GEDI LiDAR system was specifically designed to detect vegetation structure and has
proven to be a suitable tool for estimating forest biophysical parameters, especially canopy …
proven to be a suitable tool for estimating forest biophysical parameters, especially canopy …
An overview of using unmanned aerial system mounted sensors to measure plant above-ground biomass
Conventional measurement methods for above-ground biomass (AGB) are time-consuming,
inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a …
inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a …
Evaluating ecotourism sustainability indicators for protected areas in Tehran, Iran
Ecotourism in protected areas facilitates responsible travel to natural places that conserve
the environment, deliver economic benefits to local communities, and offer interpretation and …
the environment, deliver economic benefits to local communities, and offer interpretation and …
Modeling wildfire risk in western Iran based on the integration of AHP and GIS
This study aimed at delineating the wildfire risk zones in a fire-prone region located in a
rarely addressed area of western Iran (Paveh city) by assessing the potential of factors such …
rarely addressed area of western Iran (Paveh city) by assessing the potential of factors such …
Estimation of national forest aboveground biomass from multi-source remotely sensed dataset with machine learning algorithms in China
Z Tang, X **a, Y Huang, Y Lu, Z Guo - Remote Sensing, 2022 - mdpi.com
Forests are the largest terrestrial ecosystem carbon pool and provide the most important
nature-based climate mitigation pathway. Compared with belowground biomass (BGB) and …
nature-based climate mitigation pathway. Compared with belowground biomass (BGB) and …