[HTML][HTML] Explainable AI for earth observation: A review including societal and regulatory perspectives
CM Gevaert - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Artificial intelligence and machine learning are ubiquitous in the domain of Earth
Observation (EO) and Remote Sensing. Congruent to their success in the domain of …
Observation (EO) and Remote Sensing. Congruent to their success in the domain of …
A review of carbon monitoring in wet carbon systems using remote sensing
Carbon monitoring is critical for the reporting and verification of carbon stocks and change.
Remote sensing is a tool increasingly used to estimate the spatial heterogeneity, extent and …
Remote sensing is a tool increasingly used to estimate the spatial heterogeneity, extent and …
Mapping forest height and aboveground biomass by integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 data using Random Forest algorithm in northwest Himalayan …
The present study aims to map forest canopy height by integrating ICESat‐2 and Sentinel‐1
data and investigate the effect of integrating forest canopy height information with Sentinel‐2 …
data and investigate the effect of integrating forest canopy height information with Sentinel‐2 …
Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region
G De Luca, J MN Silva, S Di Fazio… - European Journal of …, 2022 - Taylor & Francis
This paper aims to develop a supervised classification integrating synthetic aperture radar
(SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) …
(SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) …
Species-level classification and mapping of a mangrove forest using random forest—utilisation of AVIRIS-NG and sentinel data
Although studies on species-level classification and mapping using multisource data and
machine learning approaches are plenty, the use of data with ideal placement of central …
machine learning approaches are plenty, the use of data with ideal placement of central …
Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data-The superiority of deep learning over a semi-empirical model
The availability of advanced Machine Learning algorithms has made the estimation process
of biophysical parameters more efficient. However, the efficiency of those methods seldom …
of biophysical parameters more efficient. However, the efficiency of those methods seldom …
Remote sensing for cost-effective blue carbon accounting
Blue carbon ecosystems (BCE) include mangrove forests, tidal marshes, and seagrass
meadows, all of which are currently under threat, putting their contribution to mitigating …
meadows, all of which are currently under threat, putting their contribution to mitigating …
A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest
Mangroves are well-recognized for their very high carbon sequestration potential. However,
studies on their role in global carbon cycling and climate change are hindered due to lack of …
studies on their role in global carbon cycling and climate change are hindered due to lack of …
Correction of ICESat-2 terrain within urban areas using a water pump deployment criterion with the vertical contour of the terrain
Previous studies have shown that the terrain elevation of the ICESat-2's ATL08 product is of
good accuracy, overall, but in urban areas under complex surface conditions, the terrain …
good accuracy, overall, but in urban areas under complex surface conditions, the terrain …
Forest canopy height mapping by synergizing icesat-2, sentinel-1, sentinel-2 and topographic information based on machine learning methods
Z Xi, H Xu, Y Xing, W Gong, G Chen, S Yang - Remote Sensing, 2022 - mdpi.com
Spaceborne LiDAR has been widely used to obtain forest canopy heights over large areas,
but it is still a challenge to obtain spatio-continuous forest canopy heights with this …
but it is still a challenge to obtain spatio-continuous forest canopy heights with this …