Flood Risk in India
Flood Risk in India
Datasets
Flood Risk in India
File
Flood Risk in India
Use Case
Flood Risk in India
Description
Explore the Flood Risk Prediction Dataset in India, featuring meteorological, hydrological, and socio-economic data to support AI-driven flood prediction and disaster management. Perfect for researchers and developers.
Description:
The Flood Risk Prediction Dataset in India is a comprehensive resource for developing and testing predictive models for flood risks. It includes diverse features such as meteorological data (rainfall, temperature, humidity), geographical and hydrological data (elevation, river discharge, water levels), socio-economic factors (population density, infrastructure), and historical flood occurrences. Designed for AI and machine learning research, this dataset is ideal for flood risk analysis, disaster management, and climate studies.
Download Dataset
The Flood Risk Prediction Dataset in India is a robust and versatile dataset curated to support the development and validation of predictive models for flood risks across diverse regions of India. This dataset provides essential features that combine meteorological, geographical, hydrological, socio-economic, and historical flood data. By leveraging this dataset, researchers and developers can gain insights into the complex factors influencing flood occurrences and create accurate models for flood risk prediction.
Key Features of the Dataset
1. Geographic Coordinates
- Latitude: Captures the exact latitude of the location. (Type: Float)
- Longitude: Represents the longitude of the recorded location. (Type: Float)
2. Meteorological Data
- Rainfall (mm): Measures the rainfall in millimeters at the location. (Type: Float)
- Temperature (°C): Indicates the recorded temperature in degrees Celsius. (Type: Float)
- Humidity (%): Reflects the humidity percentage at the location. (Type: Float)
3. Hydrological and Elevation Data
- River Discharge (m³/s): Details the volume of water flowing through a river per second. (Type: Float)
- Water Level (m): Records the water level height in meters at the location. (Type: Float)
- Elevation (m): Shows the height above sea level in meters. (Type: Float)
4. Land and Soil Characteristics
- Land Cover: Describes the type of land cover, such as Urban, Forest, Agricultural, Water Body, or Desert. (Type: Categorical)
- Soil Type: Indicates the soil category, including Sandy, Clay, Loam, Silt, and Peat. (Type: Categorical)
5. Socio-Economic and Infrastructure Data
- Population Density: Provides the number of people per square kilometer at the location. (Type: Float)
- Infrastructure: A binary indicator showing the presence (1) or absence (0) of flood control infrastructure. (Type: Binary)
6. Historical and Target Variables
- Historical Floods: Indicates whether the location has experienced floods in the past (1 for history, 0 for no history). (Type: Binary)
- Flood Occurred: The target variable, showing whether a flood occurred at the location (1 for flood, 0 for no flood). (Type: Binary)
Contact Us
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
Let's Discuss your Data collection Requirement With Us
To get a detailed estimation of requirements please reach us.