Comparison of object-based and pixel-based Random Forest algorithm for wetland vegetation mapping using high spatial resolution GF-1 and SAR data

B Fu, Y Wang, A Campbell, Y Li, B Zhang, S Yin… - Ecological …, 2017 - Elsevier
Vegetation is an integral component of wetland ecosystems. Mapping distribution, quality
and quantity of wetland vegetation is important for wetland protection, management and …

Estimating forest aboveground biomass using Gaofen-1 images, Sentinel-1 images, and machine learning algorithms: A case study of the Dabie Mountain Region …

H Han, R Wan, B Li - Remote Sensing, 2021 - mdpi.com
Quantitatively mapping forest aboveground biomass (AGB) is of great significance for the
study of terrestrial carbon storage and global carbon cycles, and remote sensing-based data …

[HTML][HTML] Machine learning classification and accuracy assessment from high-resolution images of coastal wetlands

R Martínez Prentice, M Villoslada Peciña, RD Ward… - Remote Sensing, 2021 - mdpi.com
High-resolution images obtained by multispectral cameras mounted on Unmanned Aerial
Vehicles (UAVs) are helping to capture the heterogeneity of the environment in images that …

Classification of expansive grassland species in different growth stages based on hyperspectral and LiDAR data

A Marcinkowska-Ochtyra, A Jarocińska, K Bzdęga… - Remote Sensing, 2018 - mdpi.com
Expansive species classification with remote sensing techniques offers great support for
botanical field works aimed at detection of their distribution within areas of conservation …

Multitemporal hyperspectral data fusion with topographic indices—Improving classification of natura 2000 grassland habitats

A Marcinkowska-Ochtyra, K Gryguc, A Ochtyra… - Remote Sensing, 2019 - mdpi.com
Accurately identifying Natura 2000 habitat areas with the support of remote sensing
techniques is becoming increasingly feasible. Various data types and methods are used for …

[HTML][HTML] Advancing peatland vegetation mapping by spaceborne imaging spectroscopy

M Arasumani, F Thiel, VD Pham, C Hellmann… - Ecological …, 2023 - Elsevier
Peatlands contribute to a wide range of ecosystem services. They play an important role as
carbon sinks in their natural state, but when they are drained, they cause carbon emissions …

An integrated spectral–structural workflow for invasive vegetation mapping in an arid region using drones

AC Kedia, B Kapos, S Liao, J Draper, J Eddinger… - Drones, 2021 - mdpi.com
Mapping invasive vegetation species in arid regions is a critical task for managing water
resources and understanding threats to ecosystem services. Traditional remote sensing …

Mapping plastic-mulched farmland with multi-temporal Landsat-8 data

Hasituya, Z Chen - Remote Sensing, 2017 - mdpi.com
Using plastic mulching for farmland is booming around the world. Despite its benefit of
protecting crops from unfavorable conditions and increasing crop yield, the massive use of …

[HTML][HTML] Estimating of chlorophyll fluorescence parameter Fv/Fm for plant stress detection at peatlands under Ramsar Convention with Sentinel-2 satellite imagery

M Bartold, M Kluczek - Ecological Informatics, 2024 - Elsevier
Monitoring vegetation is essential in Earth Observation (EO) due to its link with the global
carbon cycle, playing a crucial role in ecosystem management. The fluorescence of …

A Machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data

F Sittaro, C Hutengs, S Semella, M Vohland - Remote Sensing, 2022 - mdpi.com
Anthropogenic climate and land use change is causing rapid shifts in the distribution and
composition of habitats with profound impacts on ecosystem biodiversity. The sustainable …