Remote sensing imagery is a valuable tool in Environmental Impact Assessment (EIA), providing information about the Earth's surface and its change over time. The spatial resolution of remote sensing imagery refers to the level of detail at which objects on the Earth's surface can be discerned in the imagery. Spatial resolution is a critical factor in EIA, since it determines the ability to detect and analyze environmental features and changes. The available spatial resolutions for remote sensing imagery vary widely depending on sensor and/or platform used. Here are some common spatial resolutions in remote sensing, with a focus on EIA:

The choice of spatial resolution depends on the specific objectives of the EIA. For small-scale projects or those requiring high precision, VHR or HR imagery may be necessary. Larger-scale assessments or long-term monitoring often use MR or LR imagery due to the higher coverage they offer in short time intervals.

It's essential to consider the trade-offs between spatial resolution and other factors such as cost, data availability, and processing requirements when selecting imagery for EIA projects.

By the way have a look at the following URL to know more:

https://business.esa.int/newcomers-earth-observation-guide

All the best

Dr Frank Veroustraete thank you for your contribution to the discussion

The resolution of an image refers to the potential detail provided by the imagery. In remote sensing we refer to three types of resolution: spatial, spectral and temporal. Spatial Resolution refers to the size of the smallest feature that can be detected by a satellite sensor or displayed in a satellite image. There are four types of resolution to consider for any dataset radiometric, spatial, spectral, and temporal. Remotely sensed satellite data comes in two basic types, passively collected data and actively collected data. Passive data collection focuses on acquiring intensities of electromagnetic radiation generated by the sun and reflected off the surface of the planet. Simply put, the resolution is: the smallest possible change that a sensor can perceive. For a laser light grid, for example, this is a shift in position. A sensor with a low(er) resolution will only detect or report displacements in whole centimeters. The quality of remote sensing data consists of its spatial, spectral, radiometric and temporal resolutions. The size of a pixel that is recorded in a raster image – typically pixels may correspond to square areas ranging in size length from 1 to 1,000 metres (3.3 to 3,280.8 ft). A satellite remote sensing system consists of five components: sources of radiation (the Sun, the Earth, and an artificial radiation source), interaction with the atmosphere, interaction with the Earth's surface, space segment (sensors), and ground segment. Remote Sensing enables large-scale data collection on environmental parameters such as temperature, humidity, and vegetation cover, often in inaccessible areas. Its applications range from monitoring climate change impacts and tracking deforestation to assessing water quality and predicting natural disasters. Applications have included monitoring of actual resources (air, water, land, etc.), ground-level ozone, soil erosion, study of sea-level rise due to global warming, change- detection studies, delineation of ecologically sensitive areas using digital-image analysis and Geographic Information Systems. Satellite imaging provides a wealth of information about the environment, including topography, land cover, vegetation, water resources, and more. This data can be used to assess the impact of human activity on the environment in a variety of ways, from tracking deforestation to monitoring changes in soil erosion. Remote sensing provides valuable data and insights for various aspects of disaster management, including early warning systems, damage assessment, and resource allocation. It helps in monitoring and predicting natural hazards, assessing the impact of disasters, and facilitating effective response and recovery efforts. In the event of flooding, satellite applications can help determine the extent of the area affected, while locating damaged or destroyed equipment. With regard to pollution, having atmospheric chemical composition measurements is very useful for emission inventories. Remote sensing can be used to detect land use and land cover changes, monitor deforestation and vegetation growth, detect water pollution, measure air quality, and identify landforms. Currently, remote sensing is widely used for environmental monitoring and assessment. Remote sensing involves collection of information about an object or phenomenon without direct contact with it. Sensors mounted on platforms such as aircraft, satellites, or drones enable the collection of data about Earth's surface, including land cover, vegetation, topography, and geological features.