Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects

O Mutanga, A Masenyama, M Sibanda - ISPRS Journal of Photogrammetry …, 2023 - Elsevier
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 …

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) …

[HTML][HTML] Mapping tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning

V Nasiri, M Beloiu, AA Darvishsefat, VC Griess… - International Journal of …, 2023 - Elsevier
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 …

Scale-dependent and driving relationships between spatial features and carbon storage and sequestration in an urban park of Zhengzhou, China

X Jia, H Han, Y Feng, P Song, R He, Y Liu… - Science of The Total …, 2023 - Elsevier
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 …

Modeling forest canopy cover: a synergistic use of Sentinel-2, aerial photogrammetry data, and machine learning

V Nasiri, AA Darvishsefat, H Arefi, VC Griess… - Remote Sensing, 2022 - mdpi.com
Forest canopy cover (FCC) is an important ecological parameter of forest ecosystems, and is
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

M Rajab Pourrahmati, N Baghdadi, I Fayad - Remote Sensing, 2023 - mdpi.com
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 …

Evaluating ecotourism sustainability indicators for protected areas in Tehran, Iran

P Sobhani, H Esmaeilzadeh, SMM Sadeghi, MV Marcu… - Forests, 2022 - mdpi.com
Ecotourism in protected areas facilitates responsible travel to natural places that conserve
the environment, deliver economic benefits to local communities, and offer interpretation and …

An overview of using unmanned aerial system mounted sensors to measure plant above-ground biomass

A Bazrafkan, N Delavarpour, PG Oduor, N Bandillo… - Remote Sensing, 2023 - mdpi.com
Conventional measurement methods for above-ground biomass (AGB) are time-consuming,
inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a …

Modeling wildfire risk in western Iran based on the integration of AHP and GIS

V Nasiri, SMM Sadeghi, R Bagherabadi… - Environmental …, 2022 - Springer
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 …

Estimation of national forest aboveground biomass from multi-source remotely sensed dataset with machine learning algorithms in China

Z Tang, X Xia, 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 …