Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges
The mangrove ecosystem plays a vital role in the global carbon cycle, by reducing
greenhouse gas emissions and mitigating the impacts of climate change. However …
greenhouse gas emissions and mitigating the impacts of climate change. However …
A review of remote sensing applications for oil palm studies
KL Chong, KD Kanniah, C Pohl… - Geo-spatial Information …, 2017 - Taylor & Francis
Oil palm becomes an increasingly important source of vegetable oil for its production
exceeds soybean, sunflower, and rapeseed. The growth of the oil palm industry causes …
exceeds soybean, sunflower, and rapeseed. The growth of the oil palm industry causes …
New global forest/non-forest maps from ALOS PALSAR data (2007–2010)
M Shimada, T Itoh, T Motooka, M Watanabe… - Remote Sensing of …, 2014 - Elsevier
Four global mosaics of Advanced Land Observing Satellite (ALOS) Phased Arrayed L-band
Synthetic Aperture Radar (SAR) HH and HV polarization data were generated at 25 m …
Synthetic Aperture Radar (SAR) HH and HV polarization data were generated at 25 m …
[HTML][HTML] Advances in Earth observation and machine learning for quantifying blue carbon
Blue carbon ecosystems (mangroves, seagrasses and saltmarshes) are highly productive
coastal habitats, and are considered some of the most carbon-dense ecosystems on the …
coastal habitats, and are considered some of the most carbon-dense ecosystems on the …
[HTML][HTML] Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data
Tropical forests are a key component of the global carbon cycle, and mapping their carbon
density is essential for understanding human influences on climate and for ecosystem …
density is essential for understanding human influences on climate and for ecosystem …
Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data
The objective of this research is to test Sentinel-1 SAR multitemporal data, supported by
multispectral and SAR data at other wavelengths, for fine-scale mapping of above-ground …
multispectral and SAR data at other wavelengths, for fine-scale mapping of above-ground …
Estimation of forest aboveground biomass and uncertainties by integration of field measurements, airborne LiDAR, and SAR and optical satellite data in Mexico
Background Information on the spatial distribution of aboveground biomass (AGB) over
large areas is needed for understanding and managing processes involved in the carbon …
large areas is needed for understanding and managing processes involved in the carbon …
Understanding forest health with remote sensing-part II—A review of approaches and data models
Stress in forest ecosystems (FES) occurs as a result of land-use intensification, disturbances,
resource limitations or unsustainable management, causing changes in forest health (FH) at …
resource limitations or unsustainable management, causing changes in forest health (FH) at …
PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data
This paper describes a deep-learning-based unsupervised forest height estimation method
based on the synergy of the high-resolution L-band repeat-pass Polarimetric Synthetic …
based on the synergy of the high-resolution L-band repeat-pass Polarimetric Synthetic …
Vegetation biomass estimation with remote sensing: focus on forest and other wooded land over the Mediterranean ecosystem
Carbon sequestration service of Mediterranean forest and other wooded land is threatened
by their fragile, complex, and highly evolving nature, due to both human disturbances and …
by their fragile, complex, and highly evolving nature, due to both human disturbances and …