Give three influence of spatial resolution on the capability of satellites image?

1. Detection of small features: Higher spatial resolution allows satellites to capture smaller features on the Earth's surface, such as individual buildings, vehicles, or vegetation. This can be important for applications such as urban planning, disaster response, and environmental monitoring.

2. Accuracy of measurements: Higher spatial resolution can lead to more accurate measurements of features on the Earth's surface, such as land cover classification, land use mapping, and change detection. This can be crucial for monitoring and managing natural resources, as well as for assessing the impact of human activities on the environment.

3. Interpretation of images: Higher spatial resolution can improve the interpretability of satellite images, making it easier to identify and distinguish between different objects and land cover types. This can be beneficial for various applications, such as agriculture, forestry, and infrastructure development.

1. Level of Detail: Higher spatial resolution provides greater detail in the image, allowing for more precise identification and analysis of features on the Earth's surface.

2. Mapping Accuracy: The finer the spatial resolution, the more accurate the mapping and measurement of landforms, water bodies, and other features can be.

3. Change Detection: High spatial resolution imagery enables more effective detection and monitoring of changes in the landscape over time, such as deforestation, urban expansion, or agricultural changes.