Above-ground biomass mapping in West African dryland forest using Sentinel-1 and 2 datasets-A case study

G Forkuor, JBB Zoungrana, K Dimobe… - Remote Sensing of …, 2020 - Elsevier
Abstract The Sudanian Savanna (SS) of West Africa is characterized by tropical savannas
and woodlands. Accurate estimation of AGB and carbon stocks in this biome is important for …

Selection of lee filter window size based on despeckling efficiency prediction for sentinel SAR images

O Rubel, V Lukin, A Rubel, K Egiazarian - Remote sensing, 2021 - mdpi.com
Radar imaging has many advantages. Meanwhile, SAR images suffer from a noise-like
phenomenon called speckle. Many despeckling methods have been proposed to date but …

Synthetic Aperture Radar (SAR) image processing for operational space-based agriculture mapping

L Dingle Robertson, A Davidson… - … Journal of Remote …, 2020 - Taylor & Francis
Few countries are using space-based Synthetic Aperture Radar (SAR) to operationally
produce national-scale maps of their agricultural landscapes. For the past ten years …

Above‐ground biomass retrieval with multi‐source data: Prediction and applicability analysis in E astern M ongolia

S Ji, B Dashpurev, TN Phan, M Dorj… - Land Degradation & …, 2024 - Wiley Online Library
Grassland aboveground biomass (AGB) is a key variable to measure grassland productivity,
and accurate assessment of AGB is important for optimizing grassland resource …

Biomass estimation for semiarid vegetation and mine rehabilitation using worldview-3 and sentinel-1 SAR imagery

N Bao, W Li, X Gu, Y Liu - Remote Sensing, 2019 - mdpi.com
The surface mining activities in grassland and rangeland zones directly affect the livestock
production, forage quality, and regional grassland resources. Mine rehabilitation is …

[HTML][HTML] Aboveground Biomass Mapping in SemiArid Forests by Integrating Airborne LiDAR with Sentinel-1 and Sentinel-2 Time-Series Data

L Zhang, X Yin, Y Wang, J Chen - Remote Sensing, 2024 - mdpi.com
Aboveground biomass (AGB) is a vital indicator for studying carbon sinks in forest
ecosystems. Semiarid forests harbor substantial carbon storage but received little attention …

A sentinel-1 based processing chain for detection of cyclonic flood impacts

C Alexandre, R Johary, T Catry, P Mouquet, C Révillion… - remote sensing, 2020 - mdpi.com
In the future, climate change will induce even more severe hurricanes. Not only should these
be better understood, but there is also a necessity to improve the assessment of their …

Exploring optimal integration schemes for Sentinel-1 SAR and Sentinel-2 multispectral data in land cover mapping across different atmospheric conditions

BAS Pratama, P Danoedoro, S Arjasakusuma - … Applications: Society and …, 2024 - Elsevier
Integrating remote sensing data, such as Sentinel-1 Synthetic Aperture Radar (SAR) and
Sentinel-2 multispectral data, can provide valuable insights for this task. However, in tropical …

A practical solution for SAR despeckling with adversarial learning generated speckled-to-speckled images

Y Yuan, J Guan, P Feng, Y Wu - IEEE Geoscience and Remote …, 2020 - ieeexplore.ieee.org
In this letter, we aim to address a synthetic aperture radar (SAR) despeckling problem with
the necessity of neither clean (speckle-free) SAR images nor independent speckled image …

Smart city services for Kiev city within ERA-PLANET SMURBS project

A Shelestov, A Kolotii, M Lavreniuk… - 2019 IEEE 39th …, 2019 - ieeexplore.ieee.org
The SMURBS/ERA-PLANET project (" SMartURBan Solutions for air quality, disasters and
city growth") is one of the projects of ERA-NETs transnational call and falls under Strand 1" …