Results 31 to 40 of about 289,016 (300)
Bibliometric Analysis for Pattern Exploration in Worldwide Digital Soil Mapping Publications
Bibliometric analyses provide a clear understanding of the scientific performance and relate them with standards of the global scientific production. Soil science is an outstanding and developing field among environmental sciences.
LUCIANO C. CANCIAN +2 more
doaj +1 more source
Increased demand and advanced techniques could lead to more refined mapping and management of soils.
Sanchez, Pedro A. +20 more
openaire +2 more sources
Impacts of Historical Land Use Changes on Ecosystem Services in Guangdong Province, China
Assessing land use change and its impacts on ecosystem services is of great significance for optimizing land use management and enhancing ecosystem sustainability. This study explores land use changes and their impacts on five typical ecosystem services,
Haizhen Chen +5 more
doaj +1 more source
Information on the spatial distribution of soil pH is essential for assessing soil quality and soil productivity. Digital soil mapping (DSM) is commonly used to predict soil characteristics over various types of landscapes.
Jin Zhang +4 more
semanticscholar +1 more source
Digital Soil Mapping of Soil Organic Matter with Deep Learning Algorithms
Digital soil mapping has emerged as a new method to describe the spatial distribution of soils economically and efficiently. In this study, a lightweight soil organic matter (SOM) mapping method based on a deep residual network, which we call LSM-ResNet,
Pengyuan Zeng +4 more
semanticscholar +1 more source
Unmanned Aerial Vehicle (UAV) for monitoring soil erosion in Morocco [PDF]
This article presents an environmental remote sensing application using a UAV that is specifically aimed at reducing the data gap between field scale and satellite scale in soil erosion monitoring in Morocco. A fixed-wing aircraft type Sirius I (MAVinci,
D'Oleire-Oltmanns, Sebastian +3 more
core +1 more source
Predicting Runoff Risks by Digital Soil Mapping [PDF]
ABSTRACT Digital soil mapping (DSM) permits continuous mapping soil types and properties through raster formats considering variation within soil class, in contrast to the traditional mapping that only considers spatial variation of soils at the boundaries of delineated polygons. The objective of this study was to compare the performance of SoLIM (Soil
Silva, Mayesse Aparecida da +5 more
openaire +6 more sources
Using deep learning for Digital Soil Mapping [PDF]
Abstract. Digital soil mapping has been widely used as a cost-effective method for generating soil maps. However, current DSM data representation rarely incorporates contextual information of the landscape. DSM models are usually calibrated using point observations intersected with spatially corresponding point covariates.
José Padarian +2 more
openaire +3 more sources
How well does digital soil mapping represent soil geography? An investigation from the USA
. We present methods to evaluate the spatial patterns of the geographic distribution of soil properties in the USA, as shown in gridded maps produced by digital soil mapping (DSM) at global (SoilGrids v2), national (Soil Properties and Class 100 m Grids ...
D. Rossiter +3 more
semanticscholar +1 more source
Diferentes classificadores na predição de classes de solos em mapeamento digital. [PDF]
: The study had as objective to develop techniques for digital soil mapping with support of main parameters of relief descriptors, of geologic map and pedological map pre-existing of Dois Córregos (SP, BRAZIL) sheet (1:50,000 scale), using data mining ...
ADAMI, S. F. +4 more
core

