Journal Paper Digests 2018 #11

  • Epikarst mapping by remote sensing
  • Predictive mapping of soil-landscape relationships in the arid Southwest United States
  • Global linkages between teleconnection patterns and the terrestrial biosphere
  • A scale self-adapting segmentation approach and knowledge transfer for automatically updating land use/cover change databases using high spatial resolution images
  • Towards machine ecoregionalization of Earth’s landmass using pattern segmentation method
  • Laser-based spectroscopic methods to evaluate the humification degree of soil organic matter in whole soils: a review
  • Better models are more effectively connected models
  • Multi-scale relief model (MSRM): a new algorithm for the visualization of subtle topographic change of variable size in digital elevation models
  • Deep learning in agriculture: A survey
  • Mapping agricultural land abandonment from spatial and temporal segmentation of Landsat time series
  • How far are we from the use of satellite rainfall products in landslide forecasting?
  • Mapping rootable depth and root zone plant-available water holding capacity of the soil of sub-Saharan Africa
  • Accounting for non-stationary variance in geostatistical mapping of soil properties
  • Global environmental costs of China’s thirst for milk
  • Exploring the case for a national-scale soil conservation and soil condition framework for evaluating and reporting on environmental and land use policies

Journal Paper Digests 2018 #10

  • Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation
  • A Primer for Model Selection: The Decisive Role of Model Complexity
  • Spatial Variability of Soil Moisture and the Scale Issue: A Geostatistical Approach
  • Soil Texture Often Exerts a Stronger Influence Than Precipitation on Mesoscale Soil Moisture Patterns
  • Deep learning in agriculture: A survey
  • Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management
  • Spectral matching based on discrete particle swarm optimization: A new method for terrestrial water body extraction using multi-temporal Landsat 8 images
  • How much can natural resource inventory benefit from finer resolution auxiliary data?
  • A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data
  • The functional characterization of grass- and shrubland ecosystems using hyperspectral remote sensing: trends, accuracy and moderating variables
  • Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP
  • Soil respiration and its temperature sensitivity (Q10): Rapid acquisition using mid-infrared spectroscopy
  • Soil mineral assemblage and substrate quality effects on microbial priming
  • The singularity index for soil geochemical variables, and a mixture model for its interpretation
  • A pedometric technique to delimitate soil-specific zones at field scale
  • Digital soil monitoring of top- and sub-soil pH with bivariate linear mixed models
  • A preliminary spatial quantification of the soil security dimensions for Tasmania
  • Soil quality - A critical review
  • The root of the matter: Linking root traits and soil organic matter stabilization processes

This week has taken me to far flung Benguerir in central Morocco to attend the inaugural Agri Analytics meeting. This is a forum about digital agriculture, and I was keen to see how other people in the world are grappling with the data and associated analytics and processes which are driving the present revolution in agriculture throughout the world. These sorts of meetings are becoming regular events around the world, with Australia being no stranger to them either where I have attended a few to date. The format for this particular meeting were a number of invited talks by people from mainly universities and the private sector to a diverse audience which included Government officials dealing in agriculture, public institutions, academics and post-grad students, farmer groups, and digital ag service providers. There was an international flavour to this meeting but most people were from either Africa or Europe, with a few from Latin America and the US. I was the only attendee from Australia, and I met a colleague from New Zealand, so we were kind of special perhaps even exotic. I presented some work on digital soil mapping, and what we know we can do with it already for delivery of critical soil information to support decision making at all manner of spatial scales.

Journal Paper Digests 2018 #9

  • Spatial distribution and source apportionment of the heavy metals in the agricultural soil in a regional scale

Journal Paper Digests 2018 #8

  • Nitrogen-rich organic soils under warm well-drained conditions are global nitrous oxide emission hotspots.
  • Review and outlook for agromineral research in agriculture and climate mitigation
  • Open geospatial infrastructure for data management and analytics in interdisciplinary research
  • Abnormal shapes of production function: Model interpretations
  • Deep learning models for plant disease detection and diagnosis.
  • Exchange of greenhouse gases between soil and atmosphere: interactions of soil physical factors and biological processes
  • Building an exposed soil composite processor (SCMaP) for mapping spatial and temporal characteristics of soils with Landsat imagery (1984-2014).
  • An assessment of the differences between spatial resolution and grid size for the SMAP enhanced soil moisture product over homogeneous sites
  • Remote sensing of biodiversity: Soil correction and data dimension reduction methods improve assessment of alpha-diversity (species richness) in prairie ecosystems.
  • Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover
  • Supervised methods of image segmentation accuracy assessment in land cover mapping
  • Quantifying the uncertainty of a model-reconstructed soilscape for archaeological land evaluation
  • Proximal spectral sensing in pedological assessments: vis-NIR spectra for soil classification based on weathering and pedogenesis
  • Soil carbon cycling proxies: Understanding their critical role in predicting climate change feedbacks
  • Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments
  • Digital mapping of soil erodibility for water erosion in New South Wales, Australia
  • Linking Land Use Capability classes and APSIM to estimate pasture growth for regional land use planning