Related references
Note: Only part of the references are listed.Digital Mapping of Soil Profile Properties for Precision Agriculture in Developing Countries
Antonio Lopez-Castaneda et al.
AGRONOMY-BASEL (2022)
Soil organic carbon and total nitrogen predict large-scale distribution of soil fungal communities in temperate and alpine shrub ecosystems
Yongliang Chen et al.
EUROPEAN JOURNAL OF SOIL BIOLOGY (2021)
Glomalin - an interesting protein part of the soil organic matter
Vitezslav Vlcek et al.
SOIL AND WATER RESEARCH (2020)
Improved digital soil mapping with multitemporal remotely sensed satellite data fusion: A case study in Iran
Solmaz Fathololoumi et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
moveVis: Animating movement trajectories in synchronicity with static or temporally dynamic environmental data in r
Jakob Schwalb-Willmann et al.
METHODS IN ECOLOGY AND EVOLUTION (2020)
Conventional and digital soil mapping in Iran: Past, present, and future
Mojtaba Zeraatpisheh et al.
CATENA (2020)
Spatial distribution of iron forms and features in the dried lake bed of Urmia Lake of Iran
Amin Mousavi et al.
GEODERMA REGIONAL (2020)
Can soil properties and land use explain glomalin-related soil protein (GRSP) accumulation? A nationwide survey in France
Siobhan Staunton et al.
CATENA (2020)
Glomalin-related soil protein enriched in 5 13 C and 5 15 N excels at storing blue carbon in mangrove wetlands
Yuan Tian et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Changes in soil organic carbon fractions and residence time five years after implementing conventional and conservation tillage practices
Mehdi Rahmati et al.
SOIL & TILLAGE RESEARCH (2020)
Biochar Alters Soil Physical Characteristics, Arbuscular Mycorrhizal Fungi Colonization, and Glomalin Production
Gyongyi Barna et al.
AGRONOMY-BASEL (2020)
Nutrient demand and fungal access to resources control the carbon allocation to the symbiotic partners in tripartite interactions of Medicago truncatula
Arjun Kafle et al.
PLANT CELL AND ENVIRONMENT (2019)
Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China
Jie Peng et al.
GEODERMA (2019)
Evaluating the spatial and vertical distribution of agriculturally important nutrients - nitrogen, phosphorous and boron - in North West Iran
Farzin Shahbazi et al.
CATENA (2019)
Pedology and digital soil mapping (DSM)
Yuxin Ma et al.
EUROPEAN JOURNAL OF SOIL SCIENCE (2019)
Retrospective monitoring of the spatial variability of crystalline iron in soils of the east shore of Urmia Lake, Iran using remotely sensed data and digital maps
Farzin Shahbazi et al.
GEODERMA (2019)
Role of glomalin in soil carbon storage and its variation across land uses in temperate Himalayan regime
Prachi Nautiyal et al.
BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY (2019)
Mapping total soil nitrogen from a site in northeastern China
Shuai Wang et al.
CATENA (2018)
Topographic wetness index explains soil moisture better than bioindication with Ellenberg's indicator values
Malgorzata W. Radula et al.
ECOLOGICAL INDICATORS (2018)
Sampling Designs for Validating Digital Soil Maps: A Review
Asim Biswas et al.
PEDOSPHERE (2018)
Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area
Martin Meier et al.
REVISTA BRASILEIRA DE CIENCIA DO SOLO (2018)
Lithologic control on soil texture heterogeneity
Joaquin Camara et al.
GEODERMA (2017)
Elevation-based upscaling of organic carbon stocks in High-Arctic permafrost terrain: a storage and distribution assessment for Spitsbergen, Svalbard
Niels Weiss et al.
POLAR RESEARCH (2017)
Mapping key soil properties to support agricultural production in Eastern China
Yuxin Ma et al.
GEODERMA REGIONAL (2017)
Comparing digital soil mapping techniques for organic carbon and clay content: Case study in Burundi's central plateaus
Anicet Sindayihebura et al.
CATENA (2017)
Digital soil mapping across the globe
Dominique Arrouays et al.
GEODERMA REGIONAL (2017)
Spatial soil organic carbon (SOC) prediction by regression kriging using remote sensing data
Arun Mondal et al.
EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES (2017)
How does tillage intensity affect soil organic carbon? A systematic review
Neal R. Haddaway et al.
ENVIRONMENTAL EVIDENCE (2017)
Digital mapping of soil organic carbon at multiple depths using different data mining techniques in Baneh region, Iran
R. Taghizadeh-Mehrjardi et al.
GEODERMA (2016)
Random forest in remote sensing: A review of applications and future directions
Mariana Belgiu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)
A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape
Kennedy Were et al.
ECOLOGICAL INDICATORS (2015)
From patterns to causal understanding: Structural equation modeling (SEM) in soil ecology
Nico Eisenhauer et al.
PEDOBIOLOGIA (2015)
Digital Soil Mapping Using Artificial Neural Networks and Terrain-Related Attributes
Mohsen Bagheri Bodaghabadi et al.
PEDOSPHERE (2015)
Vegetation dynamics and factor analysis in arid and semi-arid Inner Mongolia
Lijuan Miao et al.
ENVIRONMENTAL EARTH SCIENCES (2015)
Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions
Tomislav Hengl et al.
PLOS ONE (2015)
Manipulation of rhizosphere organisms to enhance glomalin production and C sequestration: Pitfalls and promises
F. L. Walley et al.
CANADIAN JOURNAL OF PLANT SCIENCE (2014)
Soil organic carbon estimation with topographic properties in artificial grassland using a state-space modeling approach
Dongli She et al.
CANADIAN JOURNAL OF SOIL SCIENCE (2014)
Soil organic carbon distribution in relation to land use and its storage in a small watershed of the Loess Plateau, China
Xuan Fang et al.
CATENA (2012)
Analysis of Digital Data Obtained from Raster and Vector Maps
E. Ayhan et al.
JOURNAL OF SURVEYING ENGINEERING-ASCE (2011)
The Influence of Different Stresses on Glomalin Levels in an Arbuscular Mycorrhizal Fungus-Salinity Increases Glomalin Content
Edith C. Hammer et al.
PLOS ONE (2011)
Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods
Tao Pei et al.
ECOLOGICAL INDICATORS (2010)
Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy
Veronique Bellon-Maurel et al.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2010)
Carbon and nitrogen in operationally defined soil organic matter pools
K. A. Nichols et al.
BIOLOGY AND FERTILITY OF SOILS (2006)
Prediction and digital mapping of soil carbon storage in the Lower Namoi Valley
B Minasny et al.
AUSTRALIAN JOURNAL OF SOIL RESEARCH (2006)
Evaluation of current statistical approaches for predictive geomorphological mapping
M Luoto et al.
GEOMORPHOLOGY (2005)
Digital soil mapping using artificial neural networks
T Behrens et al.
JOURNAL OF PLANT NUTRITION AND SOIL SCIENCE (2005)
A multiresolution index of valley bottom flatness for mapping depositional areas
JC Gallant et al.
WATER RESOURCES RESEARCH (2003)