Landler Rulebook
  • Overview
  • Glossary
  • Section (a) The Platform
    • Section (a.1) Upload Plot Data for identification
    • Section (a.2) Verification of identity
    • Section (a.3) Proof of Land Stewardship
    • Section (a.4) Sponsorship
    • Section (a.5) Data Protection Information
  • Section (b) The measurement of land characteristics
    • Section (b.1) Dimensions, Indicators and Models Dimensions
    • Section (b.2) Data Sources
    • Section (b.3) Modelling
    • Dimension: Carbon
      • Indicator: Soil Carbon Stock
      • Indicator: Soil Carbon Potential
      • Indicator: Greenhouse Gas Emissions
    • Dimension: Water
      • Indicator: Soil Moisture
      • Indicator: Water Holding Capacity
      • Indicator: Water Holding Capacity Potential
    • Dimension: Biodiversity
      • Indicator: Protected On-Farm Habitat
      • Indicator: Deforestation
      • Indicator: Ecological Integrity
      • Indicator: Habitat Intactness
      • Indicator: Indicator Species Presence
  • Section (c) - Natural Capital Accounting
    • Section (c.1) Natural Capital Account
    • Section (c.2) Locking and Activation of a Natural Capital Account
    • Section (c.3) Natural Capital Units
    • Section (c.4) Natural Capital Units Attributes
  • Section (d) - Nature Equity Assets
  • Section (e) - Nature Equity Accounts and Settlement Services
    • Section (e.1) Nature Equity Account
    • Section (e.2) Settlement Services
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  1. Section (b) The measurement of land characteristics
  2. Dimension: Water

Indicator: Soil Moisture

Indicator

Soil Moisture

Status

Automated on Landler

Land covers

Cropland, Forestry, Grassland, Savannah

Description

Volume of water present in the soil scaled to the top 30 cm (typically the A horizon). Displays as m³/Plot and m³/ha, with a smoothed and interpolated curve of measurements covering the past five years. Trends since 2018 shown as a percentage (%).

Unit

m³ (total and per hectare)

Temporal Resolution

Near-real time Assessment (3-5 days)

Spatial Resolution

100m

Data

Satellite data (SMAP, SMOS, Landsat, MODIS, Sentinel 2)

Method

Soil moisture content is monitored using a combination of satellite data sources, including passive microwave data (from SMAP and SMOS), thermal data (from Landsat, MODIS, and Sentinel 3), and optical data (from Sentinel 2). These data streams are integrated using a spatial downscaling algorithm, resulting in an up-to-daily time-series of volumetric soil moisture content since 2016, at 100m resolution.

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Last updated 2 months ago