[HTML][HTML] Advances in Earth observation and machine learning for quantifying blue carbon

TD Pham, NT Ha, N Saintilan, A Skidmore… - Earth-Science …, 2023 - Elsevier
Blue carbon ecosystems (mangroves, seagrasses and saltmarshes) are highly productive
coastal habitats, and are considered some of the most carbon-dense ecosystems on the …

Application of deep learning in multitemporal remote sensing image classification

X Cheng, Y Sun, W Zhang, Y Wang, X Cao, Y Wang - Remote Sensing, 2023 - mdpi.com
The rapid advancement of remote sensing technology has significantly enhanced the
temporal resolution of remote sensing data. Multitemporal remote sensing image …

Multispectral semantic segmentation for land cover classification: An overview

L Ramos, AD Sappa - IEEE Journal of Selected Topics in …, 2024 - ieeexplore.ieee.org
Land cover classification (LCC) is a process used to categorize the earth's surface into
distinct land types. This classification is vital for environmental conservation, urban planning …

[HTML][HTML] Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery

AF Almeida-Ñauñay, AM Tarquis… - … and Electronics in …, 2023 - Elsevier
Grain yield and quality assessment based on remote sensing throughout the growth cycle
may contribute to achieve efficient and sustainable wheat production. A trial was conducted …

AIS Data-Guided Geolocation Correction Method for Low-Orbit Satellite Remote Sensing Imagery

H Wu, Z Huang, Q Hu, X Ran… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Accurate geolocation of maritime objects in satellite imagery is challenging due to geometric
distortions, atmospheric conditions, and sensor inaccuracies in low-Earth orbit satellites …

Utilising LANDHYPERNET data products over a deciduous broadleaf forest to validate Sentinel-2 and Landsat surface reflectance products

H Morris, M Sinclair, P De Vis, A Bialek - Frontiers in Remote Sensing, 2024 - frontiersin.org
This paper demonstrates the use of a novel, autonomous hyperspectral surface reflectance
data collected at Wytham Woods, United Kingdom (WWUK) as part of the LANDHYPERNET …

[HTML][HTML] Investigating anthropogenically transformed landscapes with remote sensing

V Belenok, T Noszczyk, L Hebryn-Baidy… - … Applications: Society and …, 2021 - Elsevier
The assessment of the current state and spatio-temporal changes in natural landscapes is
crucial, among others, for the agro-industrial and agricultural sectors of every country …

Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems

MM Coffer, PJ Whitman, BA Schaeffer… - … journal of remote …, 2022 - Taylor & Francis
Satellite image artefacts are features that appear in an image but not in the original imaged
object and can negatively impact the interpretation of satellite data. Vertical artefacts are …

[HTML][HTML] Evaluation of Landsat-9 interoperability with Sentinel-2 and Landsat-8 over Europe and local comparison with field surveys

F Trevisiol, E Mandanici, A Pagliarani… - ISPRS Journal of …, 2024 - Elsevier
The recent launch of Landsat-9 satellite enriches the opportunities to work with dense time
series of multispectral medium-resolution images. The integration of Landsat-9 in a multi …

Study of the spatial and temporal distributions of tidal flat surface sediment based on multitemporal remote sensing

N Zhang, H Li, J Zhang, J Chen, H Wu… - Frontiers in Marine …, 2023 - frontiersin.org
Introduction The ecological environment of tidal flats often changes due to tidal erosion and
sedimentation. The distribution of tidal flat surface sediment is a natural reflection of the …