System and method for monitoring quantitative and qualitative environmental analytics and managing associated transactions

A system to measure the restoration from an occurred pollution, loss, or damage, or resilience from a quantifiable pollution, loss or damage;

• or to measure a prevention or reduction of either a quantifiable damage, a quantifiable loss, a likelihood of quantifiable damage or a predetermined quantifiable damage associated with a mitigation or improvement from a real world event for a land, watershed or airshed comprising
• one or more computing devices;
• one or more episodic sensors, including acute or chronic event detectors in the land, watershed or airshed, configured to detect a condition of the land, watershed or airshed, comprising one or more of a quantifiable air, water, or soil quality or quantity change after the mitigation or improvement;
• and
• one or more digital storage databases for housing data regarding loss or damage and data comprising one or more respective real-world events or detecting attainment, partial attainment or non-attainment of mitigation or improvement to reduce or prevent damage;
• analyzing using measurements or through models being held on one or more servers and/or being hosted on a computer to analyze performance of the mitigation or improvement for the land, watershed or airshed by modelling or measuring attainment, partial attainment, or non-attainment of a desired performance of the mitigation or improvement to reduce or prevent loss or damage by analyzing the data from the one or more episodic sensors regarding the one or more real world events, comprising the detecting and attainment, partial attainment or non-attainment of damage prevention or damage reduction for the land, watershed or airshed, the analysis occurring by measurement or by means of one or more of machine learning, artificial intelligence, stochastic modeling, and deterministic modelling;
• wherein the one or more computing devices are configured to receive data from the one or more episodic sensors;
• and
• wherein the analyzing using the measurements or through the models includes analyzing the data from the one or more episodic sensors and other sources to determine whether one or more real world events have occurred and upon occurrence of the one or more real world events, measure the prevention or reduction of either a quantifiable damage, a quantifiable loss, a likelihood of quantifiable damage or a predetermined quantifiable damage associated with a mitigation or improvement;
• and upon occurrence of the one or more real-world events or by using models, inform by measurement or modeling the attainment, partial attainment or non-attainment of the damage reduction or damage prevention of the mitigation or improvement;
• wherein the one or more episodic sensors is fixed, probe mounted, fixed on a drone, fixed on a satellite, or mounted to an airborne, floating or submarine drone;
• wherein the mitigation or improvement associated with the one or more real-world events include a program, a structure, an infrastructure, a device, a machine, a tool, an equipment, or any physical, chemical, biological intervention for air or water pollution reduction or flood, wind, or earthquake management;
• wherein the one or more episodic sensors are configured to detect the occurrence of the one or more real-world events to measure or model whether the mitigation or improvement has performed adequately or inadequately to prevent loss or damage or the reduction of loss or damage;
• and
• and
• wherein the one or more real world events is:
• a flow, chlorophyll, water clarity or other water quality, water quantity, wind speed, wind velocity, air quality, soil quality target, earthquake, flood, power outage, storm, hurricane, automobile accident, or heat wave.

A system for measuring a loss or damage mitigation or improvement for a land, watershed or airshed, comprising:

• instructions to cause one or more computing devices to receive measurements from one or more episodic sensors, including acute or chronic event detectors in the land, watershed or airshed, that detect data regarding a condition of the land, watershed or airshed comprising one or more of a quantifiable air, water, or soil quality or quantity change after the mitigation or improvement;
• one or more digital storage databases for housing data regarding predicted loss or damage and data comprising one or more respective real-world events or detecting attainment, partial attainment or non-attainment of mitigation or improvement to reduce or prevent damage;
• models being held on one or more servers and/or being hosted on a computer to analyze performance of the mitigation or improvement for the land, watershed or airshed by automatically measuring attainment, partial attainment, or non-attainment of a desired performance of the mitigation or improvement to reduce or prevent damage by one or more computing devices by analyzing the data from the one or more episodic sensors and the data regarding the one or more real world events, the one or more real world events comprising the detecting and attainment, partial attainment or non-attainment of damage prevention or damage reduction for the land, watershed or airshed, the analysis occurring by means of one or more of machine learning, artificial intelligence, stochastic modeling, and deterministic modelling;
• and
• upon occurrence of the one or more real-world events, inform the attainment, partial attainment or non-attainment of the loss or damage reduction or damage prevention of the mitigation or improvement;
• wherein the one or more episodic sensors is fixed, probe mounted, fixed on a drone, fixed on a satellite, or mounted to an airborne, floating or submarine drone;
• wherein the improvement or mitigation includes a program, a structure, an infrastructure, a device, a machine, a tool, an equipment, or any physical, chemical, biological intervention for air or water pollution reduction or flood, wind, or earthquake management;
• wherein the one or more episodic sensors are configured to detect the occurrence of real-world events and in order to model whether the mitigation or improvement has performed adequately or inadequately to prevent damage or the reduction of damage;
• and
• wherein the one or more real world events is:
• a flow, chlorophyll, water clarity or other water quality, water quantity, wind speed, wind velocity, air quality, soil quality target, earthquake, flood, power outage, storm, hurricane, automobile accident, or heat wave.