Comparison of object-based and pixel-based Random Forest algorithm for wetland vegetation mapping using high spatial resolution GF-1 and SAR data
Vegetation is an integral component of wetland ecosystems. Mapping distribution, quality
and quantity of wetland vegetation is important for wetland protection, management and …
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 …
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 …
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
Expansive species classification with remote sensing techniques offers great support for
botanical field works aimed at detection of their distribution within areas of conservation …
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 …
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 …
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 …
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 …
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
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 …
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 …
composition of habitats with profound impacts on ecosystem biodiversity. The sustainable …