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We are not an MRV company or a research group. We also donʼt just offer Natural Capital Accounts. We offer something unique, a new market infrastructure that transforms nature positive outcomes into assets that can be traded. We call this Nature Equity. Our goal is for Nature Equity to become a well-known term that is adopted by actors in our field, and beyond. For that to happen, we need to bring people along with us, using our communications to define Nature Equity whenever we can.

Landler monitors plots entered into the platform by Land Stewards using remote sensing and other data sources. These models periodically perform measurements and predictions of the following indicators:

Carbon: Soil organic carbon stock, Greenhouse gas emissions

Water: Surface soil moisture, Water holding capacity, Wilting point, Soil moisture trend

Biodiversity: Percentage cover of biodiversity zones. In addition to these state indicators, Landler provides medium-term forecasts of potential improvements in soil organic carbon stock and water holding capacity under optimal land-management scenarios. Model measurements and predictions are passed to the land steward in the form of a Natural Capital Account.

Our first users are the Agrifood companies and the farmers who act as their suppliers. Investing in Nature Equity assets can help businesses secure their supply chain for the long-term, all while meeting nature positive expectations from consumers and scope 3 requirements. Businesses enter into Nature Equity agreements with land stewards. These are outcome-based contracts wherein businesses pay land stewards when they demonstrate improvements in carbon storage, water holding capacity or biodiversity. In doing so, businesses increase the quality and resilience of supply, while meeting the requirements of growing nature-related legislation.

Our MRV technology is used to monitor Natural Capital in the dimensions of Carbon Water and Biodiversity using a combination of local sampling data and earth observation satellite data, machine learning and biophysical process modelling. A process model simulates biophysical processes based on known physical and chemical processes, for example carbon turnover rates in soils. Landler takes a special approach, using the earth observation data to derive inputs to biophysical process models where feasible, in addition to other data sources, for example weather records. A machine learning model is an encapsulated statistical relationship which between one or more satellite observations and field reference data. For building machine learning models, we collect field reference data from a variety of private and public databases as well as directly from land stewards. In addition, Landler works with partners to collect measurements directly from the field (samples). Landler relies on different satellite-based measurement techniques (e.g., optical, radar, lidar) in combination with biophysical process models and machine learning models to provide scalable, independent and affordable MRV services.

Building on the principles of natural capital accounting, Nature Equity starts with better understanding our land. MRV models, fed by geospatial and ground data, measure the biophysical aspects of a piece of land across multiple indicators. When enhancements are made to the biophysical aspects of this land, they become Nature Equity Assets. This asset can then be bought and sold on Landler.

Uplift units are a digital unique and non-reproducible representation of an improvement measurement of natural capital value, as measured by Landler.