JNTU B.Tech IV REMOTE SENSING AND GIS Previous Question Paper (December - 2020 - R16)

Photo interpretation is the act of examining photographic images for the purpose of identifying objects and judging their significance. In remote sensing, it serves as a fundamental technique for extracting qualitative and quantitative information from aerial and satellite imagery.

The primary applications of photo interpretation include:

• Geological Mapping: Used to identify lithological units, structural features like faults and folds, and to map mineral deposits or potential groundwater zones by analyzing drainage patterns and landforms.
• Land Use and Land Cover (LULC) Classification: Essential for distinguishing between urban areas, agricultural fields, forests, and water bodies, which is critical for urban planning and environmental monitoring.
• Agriculture and Forestry: Facilitates crop health assessment, acreage estimation, disease detection, and forest inventory management, including timber volume estimation and forest fire mapping.
• Hydrology and Water Resources: Applied in watershed management, mapping flood-prone areas, monitoring reservoir levels, and studying river morphology and channel migration.
• Disaster Management: Vital for rapid damage assessment following natural disasters like earthquakes, floods, or landslides, and for planning relief and rehabilitation efforts.
• Infrastructure and Urban Planning: Used for route alignment of roads and railways, site selection for large-scale projects, and monitoring urban sprawl and encroachment.
• Environmental Impact Assessment: Helps in detecting changes in ecosystems over time, such as deforestation, desertification, or coastal erosion, providing data for sustainable development policies.

Interpretation is performed by analyzing elements such as shape, size, tone, texture, pattern, shadow, site, and association. By synthesizing these elements, the interpreter can infer the physical, cultural, and biological characteristics of the terrain, transforming raw imagery into actionable spatial intelligence.