Product
Use Cases
NbS Eligibility & Feasibility StudiesTNFD & Nature Strategy ReportsEUDR & Deforestation ReportsEnvironmental Assessments
Industries
Nature-based SolutionsForestry & AgricultureFinancial Services & Insurance
Resources
PricingAbout UsBlogTutorialsFAQGlossary
Analysis CatalogLoginSign Up

Glossary

Filter by tag
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Active Remote Sensing

In active remote sensing, sensors provide their own energy source for illumination. The sensor emits radiation which is directed toward the target to be investigated. The radiation reflected from that target is detected and measured by the sensor.

Advantages for active sensors include the ability to obtain measurements anytime, regardless of the time of day or season. Active sensors can be used for examining wavelengths that are not sufficiently provided by the sun, such as microwaves, or to better control the way a target is illuminated. However, active systems require the generation of a fairly large amount of energy to adequately illuminate targets.

Some examples of active sensors are Light Detection and Ranging (LiDAR) and a synthetic aperture radar (SAR).

Government of Canada

Remote Sensing

Adaptation (to climate change)

In human systems, the process of adjustment to actual or expected climate and its effects, in order to moderate harm or exploit beneficial opportunities. In natural systems, the process of adjustment to actual climate and its effects; human intervention may facilitate adjustment to expected climate and its effects

IPCC, AR6

Climate Change

Additionality

Additionality means that the reduction or removal of a greenhouse gas (GHG) emission arises from an activity that would not have occurred without the revenue from the sale of carbon credits. A first and critical step in this context is to determine that a project activity is not required by law or regulation.

Verra

Carbon
NbS

Advanced Land Observing Satellite (ALOS)

The Advanced Land Observing Satellite (ALOS-1) was a Japanese Earth-imaging satellite from the Japan Aerospace Exploration Agency (JAXA) that launched on 24 January 2006 and completed its operational phase on 12 May 2011 after failing due to a power anomaly.

ESA

Satellite

Afforestation

Conversion to forest of land that historically has not contained forests.

IPCC, AR6

Note: For Verra's ARR methodlogy, VM0047, the project area must have been non-forested for the last 10 years, i.e. historic period considered = 10 years.

NbS
Climate Change

Afforestation, Reforestation, and Revegetation (ARR)

Afforestation, Reforestation, and Revegetation (ARR) collectively refer to environmental practices aimed at establishing or restoring vegetative cover on land through the planting of trees and other plants to enhance biodiversity, improve soil quality, and sequester carbon.

See "Afforestation", "Reforestation", and "Revegetation" for individual, official definitions by the IPCC and UNFCCC.

NbS
Climate Change
Carbon

Agroforestry

Collective name for land-use systems and technologies where woody perennials (trees, shrubs, palms, bamboos, etc.) are deliberately used on the same land-management units as agricultural crops and/or animals, in some form of spatial arrangement or temporal sequence.

In agroforestry systems there are both ecological and economical interactions between the different components. Agroforestry can also be defined as a dynamic, ecologically-based, natural resource management system that, through the integration of trees on farms and in the agricultural landscape, diversifies and sustains production for increased social, economic and environmental benefits for land users at all levels.

FAO, as used by IPCC, AR6

NbS
Climate Change

Airborne Sensing

Remote sensing from an airplane.

Government of Canada

Remote Sensing

Area of Interest (AOI)

In the context of geospatial analysis, the term "area of interest" (AOI) refers specifically to the geographic area or region that is selected for detailed analysis. This AOI is typically defined by specific geographic coordinates or boundaries, often represented using file formats like KML or KMZ.

Remote Sensing

Backscatter

In remote sensing refers to the energy reflected directly back at an active sensor after hitting a target.

NASA

Remote Sensing

Band

A band represents a segment of the electromagnetic spectrum.

NASA

Remote Sensing

Baseline

The baseline is the reference point against which a project’s emissions reductions or removals are measured. The baseline scenario represents the activities and greenhouse gas (GHG) emissions that would occur in the absence of a project. It is determined according to the specific carbon accounting methodology applied to the project.

Verra

Carbon
NbS

Biodiversity

Biodiversity or biological diversity means the variability among living organisms from all sources including, among other things, terrestrial, marine and other aquatic ecosystems, and the ecological complexes of which they are part; this includes diversity within species, between species and of ecosystems.

Convention on Biological Diversity, as used by IPCC, AR6

NbS
Climate Change

Blue Carbon

Biologically driven carbon fluxes and storage in marine systems that are amenable to management. Coastal blue carbon focuses on rooted vegetation in the coastal zone, such as tidal marshes, mangroves and seagrasses. These ecosystems have high carbon burial rates on a per unit area basis and accumulate carbon in their soils and sediments. They provide many non-climatic benefits and can contribute to ecosystem-based adaptation. If degraded or lost, coastal blue carbon ecosystems are likely to release most of their carbon back to the atmosphere.

IPCC, AR6

NbS
Climate Change
Carbon

C-band

A microwave band with a wavelength (frequency) interval ranging from 7.5 - 3.8 cm (4 - 8 GHz) in the electromagnetic spectrum.

ESA

Remote Sensing

Carbon Dioxide Removal (CDR)

Anthropogenic activities removing carbon dioxide (CO2) from the atmosphere and durably storing it in geological, terrestrial, or ocean reservoirs, or in products. It includes existing and potential anthropogenic enhancement of biological or geochemical CO2 sinks and direct air carbon dioxide capture and storage (DACCS) but excludes natural CO2 uptake not directly caused by human activities.

IPCC, AR6

Carbon

Carbon Neutrality

Condition in which anthropogenic carbon dioxide (CO2) emissions associated with a subject are balanced by anthropogenic CO2 removals. The subject can be an entity such as a country, an organisation, a district or a commodity, or an activity such as a service and an event. Carbon neutrality is often assessed over the lifecycle including indirect (‘scope 3’) emissions, but can also be limited to the emissions and removals, over a specified period, for which the subject has direct control, as determined by the relevant scheme.

IPCC, AR6

Carbon

Climate Finance

There is no agreed definition of climate finance. The term ‘climate finance‘ is applied to the financial resources devoted to addressing climate change by all public and private actors from global to local scales, including international financial flows to developing countries to assist them in addressing climate change. Climate finance aims to reduce net greenhouse gas emissions and/or to enhance adaptation and increase resilience to the impacts of current and projected climate change. Finance can come from private and public sources, channelled by various intermediaries, and is delivered by a range of instruments, including grants, concessional and non-concessional debt, and internal budget reallocations.

IPCC, AR6

NbS
Climate Change

Community-based adaptation

Local, community-driven adaptation. Community-based adaptation focuses attention on empowering and promoting the adaptive capacity of communities. It is an approach that takes context, culture, knowledge, agency, and preferences of communities as strengths.

IPCC, AR6

Climate Change

Conference of the Parties (COP)

The supreme body of UN conventions, such as the United Nations Framework Convention on Climate Change (UNFCCC), comprising parties with a right to vote that have ratified or acceded to the convention.‍

IPCC, AR6

Note: "Ratified" refers to the formal approval or confirmation of an agreement, treaty, or law, usually through a vote or other formal decision-making process.

Climate Change

Detection (of change)

Detection of change is defined as the process of demonstrating that climate or a system affected by climate has changed in some defined statistical sense, without providing a reason for that change. An identified change is detected in observations if its likelihood of occurrence by chance due to internal variability alone is determined to be small, for example, <10%.

IPCC, AR6

Climate Change

Digital MRV (dMRV or DMRV or D-MRV)

Also see "Measurement, Reporting, and Verification (MRV)"

MRV is a multistep process to measure, report, and verify emission reductions achieved by a specific mitigation activity.  Digital MRV covers the use of digital technologies to improve data collection and verification by increasing transparency, speed and reducing transaction costs substantially while reducing the level of effort. For example: Satellite Earth Observation-based MRV has the potential to enhance transparency, accuracy and reliability related to the issuance of carbon credits, thereby enabling carbon markets. (World Bank)

For programs like the VCS, DMRV can be defined as software solutionscapable of automated data collection, processing, analysis, and generation of carbon credits,including validation and verification processes. (Verra)

World Bank Climate Warehouse, Verra

Remote Sensing
Carbon

Drought

An exceptional period of water shortage for existing ecosystems and the human population (due to low rainfall, high temperature and/or wind.

IPCC, AR6

Climate Change

Earth Observation (EO)

The gathering of information about Earth’s physical, chemical, and biological systems (e.g., satellite imagery).

NASA

Satellite
Remote Sensing

Electromagnetic Radiation

A type of radiation (= energy from heat or light that you cannot see) in the form of electromagnetic waves (= waves in which both magnetic and electric fields may change at the same time), including X-rays, radio waves, visible light, and gamma rays.

Cambridge Dictionary

Remote Sensing

Electromagnetic Spectrum

Continuous sequence of electromagnetic energy arranged according to wavelength or frequency.

ESA

Remote Sensing

European Space Agency (ESA)

Intergovernmental organisation of European countries, dedicated to the exploration of space.

ESA

Remote Sensing

Fire Information for Resource Management System (FIRMS)

The Fire Information for Resource Management System (FIRMS) provides access, with minimal delay, to satellite imagery, active fire/hotspots, and related products to identify the location, extent, and intensity of wildfire activity. FIRMS tools and applications provide geospatial data, products, and services to support the broader fire management community and to inform the general public. Global data are available within 3 hours of satellite observation; U.S. and Canada active fire detections are available in real-time.

NASA

Remote Sensing

Hyperspectral Imaging

Measuring across the electromagnetic spectrum using hundreds or thousands of narrow bands.

NASA

Remote Sensing

Infrared Waves

Light waves just beyond the visible spectrum of light are infrared light waves. They range from near-infrared like what are used in remote controls, to far-infrared which can be sensed as heat.

A remote control uses light waves just beyond the visible spectrum of light—infrared light waves—to change channels on your TV. This region of the spectrum is divided into near-, mid-, and far-infrared. The region from 8 to 15 microns (µm) is referred to by Earth scientists as thermal infrared since these wavelengths are best for studying the longwave thermal energy radiating from our planet.

NASA

Remote Sensing

Japan Aerospace Exploration Agency, Earth Observation Research Center (JAXA EORC)

The Japan Aerospace Exploration Agency (JAXA) was born through the merger of three institutions, namely the Institute of Space and Astronautical Science (ISAS), the National Aerospace Laboratory of Japan (NAL) and the National Space Development Agency of Japan (NASDA). It was designated as a core performance agency to support the Japanese government's overall aerospace development and utilization. JAXA, therefore, can conduct integrated operations from basic research and development, to utilization.

The JAXA Earth Observation Research Center (EORC) conducts the Earth science research and application research using the data acquired by Earth observation satellites. Research and development of combined product using multiple satellite data is also being carried out in collaboration with universities, research institutions and foreign researchers.

JAXA, JAXA

Remote Sensing

L-band

A microwave band with a wavelength (frequency) interval ranging from 30 - 15 cm (1 - 2 GHz) in the electromagnetic spectrum.

ESA

Good to know: The Phased Array type L-band Synthetic Aperture Radar (PALSAR) is an instrument on the Advanced Land Observing Satellite (ALOS) that operated in the L-band spectrum of the microwave range. It can penetrate cloud cover and vegetation canopies, making it particularly useful for studying tropical forests, mangrove cover and monitoring deforestation.

Satellite
Remote Sensing

Landsat Series

The Landsat Series is a joint USGS and NASA-led enterprise for Earth observation that represents the world's longest running system of satellites for moderate-resolution optical remote sensing for land, coastal areas and shallow waters.

The first Landsat mission was launched in 1972, and was the first Earth observation satellite with the goal to monitor the world's land. The series continues to this day, making Landsat the longest continuous Earth imaging programme in history.

The objective of the Landsat Series is to image repetitively Earth's land and coastal areas with the aim of monitoring changes to those areas over time.

ESA

Satellite
Remote Sensing

Latitude

A geographic coordinate that specifies the north-south position of a point on the Earth's surface.

ESA

Remote Sensing

Longitude

A geographic coordinate that specifies the east-west position of a point on the Earth's surface.

ESA

Remote Sensing

Measurement, Reporting, and Verification (MRV)

Also: "Monitoring, Reporting, and Verification", or "Monitoring and Measurement, Reporting, and Verification" (M & MRV)

Measurement, Reporting, and Verification (MRV) refers to the multi-step process to measure the amount of greenhouse gas (GHG) emissions reduced by a specific mitigation activity, such as reducing emissions from deforestation and forest degradation, over a period of time and report these findings to an accredited third party. The third party then verifies the report so that the results can be certified and carbon credits can be issued.

World Bank

Carbon
Climate Change
NbS

Microwaves

Microwaves are a portion or "band" found at the higher frequency end of the radio spectrum, but they are commonly distinguished from radio waves because of the technologies used to access them. Different wavelengths of microwaves (grouped into "sub-bands") provide different information to scientists. Medium-length (C-band) microwaves penetrate through clouds, dust, smoke, snow, and rain to reveal the Earth's surface. L-band microwaves, like those used by a Global Positioning System (GPS) receiver in your car, can also penetrate the canopy cover of forests to measure the soil moisture of rain forests.

NASA

Remote Sensing

Mitigation (of climate change)

A human intervention to reduce emissions or enhance the sinks of greenhouse gases.

IPCC, AR6

Climate Change

Monitoring

Keeping track of how things change over time. For example, with remote sensing, using several images taken over time, you can monitor the result of logging in a forest or how much of an oil slick in the ocean has been cleaned up or how well crops are growing or how much a glacier has melted or how far a plume of sediment travels in a lake, etc. (Government of Canada)

Monitoring and Evaluation

Mechanisms put in place to respectively monitor and evaluate efforts to reduce greenhouse gas emissions and/or adapt to the impacts of climate change with the aim of systematically identifying, characterising and assessing progress over time. (IPCC, AR6)

Government of Canada, IPCC, AR6

‍

Remote Sensing
Climate Change
Carbon
NbS

Multispectral

Measuring across the electromagnetic spectrum using typically 3 to 10 bands.

NASA

Remote Sensing

Natural Climate Solutions (NCS)

Natural Climate Solutions (NCS) are a subcategory of NBS focused on avoiding greenhouse gas (GHG) emissions and/or increasing carbon storage in landscapes, particularly in respect of using climate or carbon finance to do so.

Verra

Carbon
NbS

Nature-based Solutions (NbS)

Actions to protect, sustainably manage and restore natural or modified ecosystems that address societal challenges effectively and adaptively, simultaneously providing human well-being and biodiversity benefits.

IUCN, as used by IPCC, AR6

NbS
Climate Change

Near-Infrared Radiation (NIR)

A portion of radiation that is just beyond the visible spectrum is referred to as near-infrared. Rather than studying an object's emission of infrared, scientists can study how objects reflect, transmit, and absorb the Sun's near-infrared radiation to observe health of vegetation and soil composition.

NASA

Remote Sensing

Near-Real Time (NRT)

Data that is available for use less than 3 hours after the time of observation.

NASA

Remote Sensing

Net zero CO2 emissions

Condition in which anthropogenic carbon dioxide (CO2) emissions are balanced by anthropogenic CO2 removals over a specified period.

IPCC, AR6

Carbon

Net zero greenhouse gas emissions

Condition in which metric-weighted anthropogenic greenhouse gas (GHG) emissions are balanced by metric-weighted anthropogenic GHG removals over a specified period. The quantification of net zero GHG emissions depends on the GHG emission metric chosen to compare emissions and removals of different gases, as well as the time horizon chosen for that metric.

IPCC, AR6

Carbon

Normalized Difference Fraction Index (NDFI)

The Normalized Difference Fraction Index (NDFI) is a spectral index developed to enhance the detection of forest canopy damage caused by selective logging and associated forest fires.

The NDFI combines multiple types of data extracted from satellite images, so called fraction images. They represent different components of the forest such as live vegetation, dead materials, soil, and shaded areas.

GV = Green Vegetation = can be extracted using the Near-Infrared (NIR) band

NPV = Non-Photosynthetic Vegetation = typically involved the use of Short-Wave Infrared (SWIR) bands

Soil and Shade = can be modelled from a combination of visible and infrared bands.

The NDFI, computed using the fraction images, can be calculated with the following formula:

The numerator highlights the difference between healthy, photosynthetically active vegetation and the components associated with degradation or disturbance (non-photosyntheic vegetation and soil). A higher value indicates more green vegetation relative to disturbed areas, suggesting healthier forest conditions.

The denominator normalizes the index by considering the total fraction of all three components. This ensures that the index is scaled between -1 and 1, making it easier to compare across different areas and times.

Closer to +1: indicates high amounts of live, green vegetation with minimal disturbance, suggesting robust forest health.

Closer to 0 or negative values: indicate a high proportion of disturbed areas, signifying degraded or heavily disturbed forest conditions.

Souza, Roberts and Cochrane (2005)

Datasets
Remote Sensing

Normalized Difference Vegetation Index (NDVI)

The Normalized Difference Vegetation Index (NDVI) is a widely used vegetation index that measures hod reflective plants are. It captures both visible red light (RED) and near-infrared light (NIR) that plants reflect. The reflection pattern helps us assess vegetation cover and density from satellite images.

The NDVI formula calculates the difference in reflectance between near-infrared and red light wavelengths (NIR - RED; numerator), highlighting the vegetation's ability to reflect NIR light, which indicates its health and density. The values are then normalised to range between -1 and 1 (denominator), making them more indicative of relative changes in vegetation density: NDVI = (NIR - RED) / (NIR + RED)

Closer to +1: indicates denser, more healthy vegetation coverage (green vegetation)

Closer to 0: suggests sparse or non-vegetated areas (no green vegetation)

Closer to -1: usually water

The values can then be interpreted by converting them to vegetation types, such as Dense Vegetation for all values ≥ 0.6 or Sparse Vegetation for all values between 0.3 and 0.6, etc.

Read more about Maya's NDVI analysis jobs: NDVI (Landsat) & NDVI (Sentinel)

Datasets
Remote Sensing

Offset

The reduction, avoidance or removal of a unit of greenhouse gas (GHG) emissions by one entity, purchased by another entity to counterbalance a unit of GHG emissions by that other entity. Offsets are commonly subject to rules and environmental integrity criteria intended to ensure that offsets achieve their stated mitigation outcome. Relevant criteria include, but are not limited to, the avoidance of double counting and leakage, use of appropriate baselines, additionality, and permanence or measures to address impermanence.

IPCC, AR6

Carbon

Optical Sensor

Sensors that gather light from the visible and infrared parts of the spectrum.

NASA

Satellite
Remote Sensing

Palmer Drought Severity Index (PDSI)

The Palmer Drought Severity Index (PDSI) uses readily available temperature and precipitation data to estimate relative dryness. It is a standardized index that generally spans -10 (dry) to +10 (wet). Maps of operational agencies like NOAA typically show a range of -4 to +4, but more extreme values are possible.

Climate Data Guide

NbS
Climate Change
Datasets

Passive Remote Sensing

Remote sensing systems which measure energy that is naturally available are called passive sensors. Passive sensors can only be used to detect energy when the naturally occurring energy is available. For all reflected energy, this can only take place during the time when the sun is illuminating the Earth. There is no reflected energy available from the sun at night. Energy that is naturally emitted (such as thermal infrared) can be detected day or night, as long as the amount of energy is large enough to be recorded.

Government of Canada

Remote Sensing

Permanence

In the context of land-based carbon offset projects, permanence refers to the condition where carbon emissions reduced or removed from the atmosphere will remain out of the atmosphere in the long run.

Factors that could result in sequestered or removed carbon being released back into the atmosphere include logging, mining, fires, or drought (reversal).

Verra

Carbon
NbS

Radar

An active sensor that uses radio waves to measure the distance to an object

NASA

Satellite
Remote Sensing

Radio Waves

Radio waves have the longest wavelengths in the electromagnetic spectrum. They range from the length of a football to larger than our planet. You can tune a radio to a specific wavelength—or frequency—and listen to your favorite music. The radio "receives" these electromagnetic radio waves and converts them to mechanical vibrations in the speaker to create the sound waves you can hear.

NASA

Remote Sensing

Radiometric Resolution

Radiometric resolution (sensitivity) is the amount of information in each pixel, that is, the number of bits representing the energy recorded. Higher radiometric resolution means an instrument can detect smaller differences in electromagnetic energy, producing more bits per pixel.

NASA & WEF

Remote Sensing
Satellite

Reducing Emissions from Deforestation and Forest Degradation (REDD+)

REDD+ refers to reducing emissions from deforestation; reducing emissions from forest degradation; conservation of forest carbon stocks; sustainable management of forests; and enhancement of forest carbon stocks.

UNFCCC, as used by IPCC, AR6

NbS
Climate Change
Carbon

Reforestation

Conversion to forest of land that has previously contained forests but that has been converted to some other use.

IPCC, AR6

NbS
Climate Change

Regenerative Agriculture

A universally agreed definition of this relatively new farming approach has yet to be established, but regenerative agriculture broadly refers to the implementation of varying combinations of agricultural management practices, to ensure the continued restoration and enhancement of soil health, biodiversity and ecosystem functioning, in conjunction with profitable agricultural production.

IPCC, AR6

NbS
Climate Change

Regulation on deforestation-free products (EUDR)

On 29 June 2023, the Regulation on deforestation-free products entered into force. Under the Regulation, any operator or trader who places these commodities on the EU market, or exports from it, must be able to prove that the products do not originate from recently deforested land or have contributed to forest degradation.

European Commission

Climate Change

Remote Sensing

Remote sensing is the action of collecting images or other forms of data about the surface of the Earth, from measurements made at some distance above the Earth, processing these data and analyzing them.

Government of Canada

Remote Sensing

Restoration

In the environmental context, restoration involves human interventions to assist the recovery of an ecosystem that has been previously degraded, damaged or destroyed.

IPCC, AR6

NbS
Climate Change

Revegetation

Revegetation is a direct human-induced activity to increase carbon stocks on sites through the establishment of vegetation that covers a minimum area of 0.05 hectares and does not meet the definitions of afforestation and reforestation.

UNFCCC

NbS
Climate Change

Sensor

Device that receives electromagnetic radiation and converts it into a signal that can be recorded and displayed as either numerical data or an image.

ESA

Satellite
Remote Sensing

Sentinel-1

The Sentinel-1 mission is the European Radar Observatory for the Copernicus joint initiative of the European Commission (EC) and the European Space Agency (ESA). Copernicus is a European initiative for the implementation of information services dealing with environment and security. It is based on observation data received from Earth Observation satellites and ground-based information.

The Sentinel-1 mission comprises a constellation of two sun-synchronous polar-orbiting satellites, sharing the same orbital plane with 180° orbital phasing difference, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.

Sentinel-1A was launched on 3 April 2014, Sentinel-1B on 25 April 2016.

ESA

Remote Sensing
Satellite

Sentinel-2

Sentinel-2 is a European wide-swath, high-resolution, multi-spectral imaging mission. The full mission specification of the twin satellites flying in the same orbit but phased at 180°, is designed to give a high revisit frequency of 5 days at the Equator.

Sentinel-2 carries an optical instrument payload that samples 13 spectral bands: four bands at 10 m, six bands at 20 m and three bands at 60 m spatial resolution.

The Sentinel-2 mission consists of two identical satellites, Sentinel-2A and Sentinel-2B. These satellites are used to support a variety of services and applications offered by Copernicus, including land management, agriculture, forestry, disaster control, humanitarian relief operations, risk mapping, and security concerns.

ESA

Remote Sensing
Satellite

Spatial Database of Planted Trees (SDPT)

Identifies planted forests and tree crops for select countries.

The Spatial Database of Planted Trees (SDPT) was compiled by Global Forest Watch using data obtained from national governments, non-governmental organizations and independent researchers. Data were compiled for 82 countries around the world, with most country maps originating from supervised classification or manual polygon delineation of Landsat, SPOT or RapidEye satellite imagery.

The SDPT contains 173 million hectares of planted forest and 50 million hectares of agricultural trees, or approximately 82% of the world’s total planted forest area in 2015.

Global Forest Watch

Datasets
NbS
Remote Sensing

Spatial Resolution

The ground surface area that forms one pixel in the image. (NASA)

Spatial resolution (measured in metres per pixel) allows for information extraction from images. It enables the analysis and observation of Earth’s surface and is characterized by a trade-off between detail and coverage; higher resolution provides finer details but covers less area, while lower resolution is better for broader land classification and land use analysis. (Word Economic Forum)

NASA & WEF

Satellite
Remote Sensing

Spectral Resolution

Spectral resolution refers to electromagnetic energy’s variations in wavelength and frequency across a spectrum. Finer spectral resolution allows sensors to differentiate narrower ranges on that spectrum. Some specialized instruments, called multispectral or hyperspectral sensors, can observe many distinct wavelengths at once.

WEF

‍

Remote Sensing
Satellite

Standard

Carbon standards assure the credibility and high quality of carbon credits issued for trading. Projects seeking to get certified in a reputable standards program follow a rigorous assessment process to generate carbon offsets that are additional, accurately calculated, permanent, not claimed by another entity, and have not caused any social or environmental harm. Standards ensure that the carbon reductions or removals claimed by projects actually happen.

Verra

Carbon

Synthetic Aperture Radar (SAR)

A form of radar that uses the motion of the radar antenna to create finer spatial resolution than a traditional stationary radar.

NASA

Satellite
Remote Sensing

Temporal Resolution

The time it takes for a satellite to complete one orbit cycle – also called "revisit time". (NASA)

Temporal resolution refers to the time it takes for a satellite to revisit the same observation area. A high temporal resolution or revisit rate is associated with frequent revisits and is useful for monitoring quickly changing conditions. (World Economic Forum)

NASA & WEF

Satellite
Remote Sensing

United States Forest Service (USFS)

A federal agency under the U.S. Department of Agriculture that manages public land in the form of national forests and grasslands, provides technical and financial assistance to state, private, and tribal forestry agencies and make up the largest forestry research organization in the world.

USFS

Datasets

United States Geological Survey (USGS)

The USGS is the science arm of the U.S. Department of the Interior and brings an array of earth, water, biological, and mapping data and expertise to bear in support of decision-making on environmental, resource, and public safety issues.

USGS

Datasets

Visible Light Spectrum

The visible light spectrum is the segment of the electromagnetic spectrum that the human eye can view. More simply, this range of wavelengths is called visible light. As the full spectrum of visible light travels through a prism, the wavelengths separate into the colors of the rainbow because each color is a different wavelength. Violet has the shortest wavelength, at around 380 nanometers, and red has the longest wavelength, at around 700 nanometers.

NASA

Remote Sensing

Maya Climate  GmbH Novalisstraße 11
10115 Berlin
Germany

Content
HomeContact UsAnalysis CatalogPricingRequest DemoAbout UsBlogJobsLoginChangelog
Legal
Terms & ConditionsImprintData Privacy
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Copyright © Maya Climate