[HTML][HTML] Forest height estimation combining single-polarization tomographic and PolSAR data
Forest height is of great significance for forest resource management and forest carbon sink
estimation. Tomographic synthetic aperture radar (TomoSAR) technology provides an …
estimation. Tomographic synthetic aperture radar (TomoSAR) technology provides an …
[HTML][HTML] Modeling forest canopy structure and developing a stand health index using satellite remote sensing
P Das, P Rahimzadeh-Bajgiran, W Livingston… - Ecological …, 2024 - Elsevier
Biotic and abiotic disturbances modify tree structure and degrade stand health. Accurate
geospatial data on stand structure is important for monitoring tree growth, forest health …
geospatial data on stand structure is important for monitoring tree growth, forest health …
Evaluation of height metrics and above-ground biomass density from GEDI and ICESat-2 over Indian tropical dry forests using airborne LiDAR data
The new-era space-borne LiDAR systems, viz. ICESat-2 and GEDI, offer new possibilities for
mapping terrain and canopy heights through geophysical data products, viz ATL08 (ICESat …
mapping terrain and canopy heights through geophysical data products, viz ATL08 (ICESat …
A Novel ICESat-2 Signal Photon Extraction Method Based on Convolutional Neural Network
W Qin, Y Song, Y Zou, H Zhu, H Guan - Remote Sensing, 2024 - mdpi.com
When it comes to the application of the photon data gathered by the Ice, Cloud, and Land
Elevation Satellite-2 (ICESat-2), accurately removing noise is crucial. In particular …
Elevation Satellite-2 (ICESat-2), accurately removing noise is crucial. In particular …
Dominant expression of SAR backscatter in predicting aboveground biomass: Integrating multi-sensor data and machine learning in Sikkim Himalaya
Accurate assessment of aboveground biomass (AGB) is crucial for understanding carbon
budgets, climate change impacts, and evaluating forest responses to environmental shifts. In …
budgets, climate change impacts, and evaluating forest responses to environmental shifts. In …
Forest height and aboveground biomass mapping by synergistic use of GEDI and Sentinel data using random forest algorithm in the Indian Himalayan region
Forests play a vital role in the global climate and carbon budget regulation. The present
study aims to map the forest canopy height and aboveground biomass (AGB) by integrating …
study aims to map the forest canopy height and aboveground biomass (AGB) by integrating …
Role of LiDAR remote sensing in identifying physiognomic traits of alpine treeline: a global review
Alpine treeline ecotones act as early warning systems for detecting the impact of climate
change on terrestrial ecosystems. The physiognomic traits of the treeline ecotones, such as …
change on terrestrial ecosystems. The physiognomic traits of the treeline ecotones, such as …
Machine Learning and Multi-source Remote Sensing in Forest Carbon Stock Estimation: A Review
Quantifying forest carbon is crucial for informing decisions and policies that will protect the
planet. Machine learning (ML) and remote sensing (RS) techniques have been used to do …
planet. Machine learning (ML) and remote sensing (RS) techniques have been used to do …
Vegetation canopy height shapes bats' occupancy: a remote sensing approach
Anthropogenic activities have significantly altered land cover on a global scale. These
changes often have a negative effect on biodiversity limiting the distribution of species. The …
changes often have a negative effect on biodiversity limiting the distribution of species. The …
Lowering the difficulty of mesoscale sky view factor mapping using satellite products
With the intensification of climate change, outdoor thermal comfort has become an
increasingly crucial topic. Therefore, in this paper, a cost-effective and convenient method of …
increasingly crucial topic. Therefore, in this paper, a cost-effective and convenient method of …