Why are some plant species missing from restorations? A diagnostic tool for temperate grassland ecosystems
The UN Decade on Ecosystem Restoration aims to accelerate actions to prevent, halt, and
reverse the degradation of ecosystems, and re-establish ecosystem functioning and species …
reverse the degradation of ecosystems, and re-establish ecosystem functioning and species …
[HTML][HTML] Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest …
Spatially extensive high-resolution soil moisture mapping is valuable in practical forestry
and land management, but challenging. Here we present a novel technique involving use of …
and land management, but challenging. Here we present a novel technique involving use of …
Revealing the hidden carbon in forested wetland soils
Inland wetlands are critical carbon reservoirs storing 30% of global soil organic carbon
(SOC) within 6% of the land surface. However, forested regions contain SOC-rich wetlands …
(SOC) within 6% of the land surface. However, forested regions contain SOC-rich wetlands …
A Systematic Review on Digital Soil Mapping Approaches in Lowland Areas
OD Adeniyi, H Bature, M Mearker - Land, 2024 - mdpi.com
Digital soil mapping (DSM) around the world is mostly conducted in areas with a certain
relief characterized by significant heterogeneities in soil-forming factors. However, lowland …
relief characterized by significant heterogeneities in soil-forming factors. However, lowland …
Synergetic use of multi-temporal Sentinel-1, Sentinel-2, NDVI, and topographic factors for estimating soil organic carbon
Soil organic carbon (SOC) is a reliable indicator of soil productivity and land management.
Despite the widespread use of remote sensing data in estimating SOC variation, the …
Despite the widespread use of remote sensing data in estimating SOC variation, the …
Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning
Abstract Evaluation of spatial variability and mapping of soil properties is critical for
sustainable agricultural production in arid lands. The main objectives of the present study …
sustainable agricultural production in arid lands. The main objectives of the present study …
Image-driven hydrological parameter coupled identification of flood plain wetland conservation and restoration sites
A good many works focus on wetland vulnerability; some works also explore restoration
sites at a very limited spatial extent. But the satellite image-driven hydrological data-based …
sites at a very limited spatial extent. But the satellite image-driven hydrological data-based …
Incorporation of Fused Remote Sensing Imagery to Enhance Soil Organic Carbon Spatial Prediction in an Agricultural Area in Yellow River Basin, China
Y Xu, Y Tan, A Abd-Elrahman, T Fan, Q Wang - Remote Sensing, 2023 - mdpi.com
To overcome spatial, spectral and temporal constraints of different remote sensing products,
data fusion is a good technique to improve the prediction capability of soil prediction models …
data fusion is a good technique to improve the prediction capability of soil prediction models …
Zonal simulations for soil organic carbon mapping in coastal wetlands
Digital soil mapping (DSM) has been developed for decades and aims to accurately
simulate the soil factors with low cost. However, it still cost considerably in coastal wetlands …
simulate the soil factors with low cost. However, it still cost considerably in coastal wetlands …
Spatial extrapolation of topographic models for mapping soil organic carbon using local samples
Accurate prediction of soil organic carbon (SOC) at fine scales is frequently limited by data
availability but fine-scale maps of soil properties are often of great importance for local …
availability but fine-scale maps of soil properties are often of great importance for local …