geospatial-models.js•29.7 kB
/**
* REUSABLE GEOSPATIAL ANALYSIS MODELS
* ====================================
* Production-ready models for complex geospatial analysis
* Can be imported and customized for various use cases
*/
// Import consolidated tools directly
const { callTool } = require('../mcp/server-consolidated');
// Helper function for Earth Engine API calls
async function callEarthEngine(tool, args) {
try {
// Call the consolidated tools directly without going through SSE
const result = await callTool(tool, args);
return result;
} catch (error) {
console.error(`Error calling ${tool}:`, error);
return { success: false, error: error.message };
}
}
/**
* WILDFIRE RISK ASSESSMENT MODEL
* Analyzes multiple factors to assess wildfire risk
*
* @param {Object} options Configuration options
* @param {string} options.region - Area to analyze (place name or geometry)
* @param {string} options.startDate - Start date (YYYY-MM-DD)
* @param {string} options.endDate - End date (YYYY-MM-DD)
* @param {number} options.scale - Analysis scale in meters (default 100)
* @param {Array} options.indices - Vegetation indices to calculate (default: ['NDVI', 'NDWI', 'NBR'])
* @param {boolean} options.includeTimeSeries - Include temporal analysis (default: true)
* @param {boolean} options.exportMaps - Generate visualization maps (default: true)
* @returns {Object} Risk assessment results
*/
async function wildfireRiskAssessment(options = {}) {
const config = {
region: options.region || 'California',
startDate: options.startDate || '2023-06-01',
endDate: options.endDate || '2023-10-31',
scale: options.scale || 100,
indices: options.indices || ['NDVI', 'NDWI', 'NBR', 'SAVI'],
includeTimeSeries: options.includeTimeSeries !== false,
exportMaps: options.exportMaps !== false,
dataset: options.dataset || 'COPERNICUS/S2_SR_HARMONIZED'
};
const results = {
metadata: config,
riskFactors: {},
indices: {},
statistics: {},
maps: {},
riskScore: 0,
recommendations: []
};
try {
// Calculate vegetation indices
for (const indexType of config.indices) {
console.log(`Calculating ${indexType}...`);
const indexResult = await callEarthEngine('earth_engine_process', {
operation: 'index',
indexType: indexType,
datasetId: config.dataset,
startDate: config.startDate,
endDate: config.endDate,
region: config.region
});
if (indexResult.success) {
results.indices[indexType] = indexResult;
// Interpret index values for risk
if (indexType === 'NDVI' && indexResult.value < 0.3) {
results.riskFactors.dryVegetation = 'HIGH';
results.riskScore += 25;
}
if (indexType === 'NDWI' && indexResult.value < 0) {
results.riskFactors.lowMoisture = 'HIGH';
results.riskScore += 25;
}
}
}
// Terrain analysis
console.log('Analyzing terrain...');
const slopeResult = await callEarthEngine('earth_engine_process', {
operation: 'terrain',
terrainType: 'slope',
region: config.region
});
if (slopeResult.success) {
results.riskFactors.slope = slopeResult;
if (slopeResult.mean > 15) {
results.riskScore += 15;
results.riskFactors.steepTerrain = 'MODERATE';
}
}
// Precipitation analysis
console.log('Analyzing precipitation...');
const precipResult = await callEarthEngine('earth_engine_process', {
operation: 'analyze',
analysisType: 'statistics',
datasetId: 'UCSB-CHG/CHIRPS/DAILY',
reducer: 'sum',
startDate: config.startDate,
endDate: config.endDate,
region: config.region,
scale: 5000
});
if (precipResult.success) {
results.statistics.precipitation = precipResult;
if (precipResult.value < 100) {
results.riskFactors.lowPrecipitation = 'HIGH';
results.riskScore += 20;
}
}
// Time series analysis
if (config.includeTimeSeries) {
console.log('Performing time series analysis...');
const timeSeriesResult = await callEarthEngine('earth_engine_process', {
operation: 'analyze',
analysisType: 'timeseries',
datasetId: config.dataset,
band: 'B4',
reducer: 'mean',
startDate: config.startDate,
endDate: config.endDate,
region: config.region,
scale: config.scale
});
if (timeSeriesResult.values) {
results.statistics.timeSeries = timeSeriesResult;
// Analyze trend
const values = timeSeriesResult.values.map(v => v.value);
const trend = values[values.length - 1] - values[0];
if (trend < 0) {
results.riskFactors.decliningVegetation = 'WARNING';
results.riskScore += 15;
}
}
}
// Export visualization maps
if (config.exportMaps) {
console.log('Generating risk visualization map...');
const mapResult = await callEarthEngine('earth_engine_export', {
operation: 'thumbnail',
datasetId: config.dataset,
startDate: config.startDate,
endDate: config.endDate,
region: config.region,
dimensions: 800,
visParams: {
bands: ['B12', 'B8', 'B4'], // SWIR-NIR-Red for fire
min: 0,
max: 3000,
gamma: 1.5
}
});
if (mapResult.url) {
results.maps.fireRiskVisualization = mapResult.url;
}
}
// Generate recommendations based on risk score
if (results.riskScore >= 75) {
results.riskLevel = 'EXTREME';
results.recommendations = [
'Immediate evacuation planning required',
'Deploy additional fire suppression resources',
'Issue red flag warnings',
'Implement strict fire restrictions'
];
} else if (results.riskScore >= 50) {
results.riskLevel = 'HIGH';
results.recommendations = [
'Increase monitoring frequency',
'Prepare evacuation routes',
'Alert fire departments',
'Restrict outdoor burning'
];
} else if (results.riskScore >= 25) {
results.riskLevel = 'MODERATE';
results.recommendations = [
'Continue regular monitoring',
'Maintain fuel reduction efforts',
'Public awareness campaigns',
'Review emergency plans'
];
} else {
results.riskLevel = 'LOW';
results.recommendations = [
'Routine monitoring sufficient',
'Focus on prevention measures'
];
}
results.success = true;
} catch (error) {
results.success = false;
results.error = error.message;
}
return results;
}
/**
* FLOOD RISK ASSESSMENT MODEL
* Analyzes hydrological and terrain factors for flood risk
*
* @param {Object} options Configuration options
* @param {string} options.region - Area to analyze
* @param {string} options.startDate - Start date
* @param {string} options.endDate - End date
* @param {string} options.floodType - Type of flooding to analyze (urban/coastal/riverine/snowmelt)
* @param {boolean} options.analyzeWaterChange - Analyze water body changes
* @returns {Object} Flood risk assessment results
*/
async function floodRiskAssessment(options = {}) {
const config = {
region: options.region || 'Houston',
startDate: options.startDate || '2023-01-01',
endDate: options.endDate || '2023-06-30',
floodType: options.floodType || 'urban',
scale: options.scale || 100,
analyzeWaterChange: options.analyzeWaterChange !== false,
dataset: options.dataset || 'COPERNICUS/S2_SR_HARMONIZED'
};
const results = {
metadata: config,
riskFactors: {},
waterIndices: {},
terrain: {},
precipitation: {},
floodRisk: 0,
vulnerableAreas: [],
mitigationStrategies: []
};
try {
// Water detection indices
const waterIndices = ['NDWI', 'MNDWI'];
for (const index of waterIndices) {
console.log(`Calculating ${index} for water detection...`);
const waterResult = await callEarthEngine('earth_engine_process', {
operation: 'index',
indexType: index,
datasetId: config.dataset,
startDate: config.startDate,
endDate: config.endDate,
region: config.region
});
if (waterResult.success) {
results.waterIndices[index] = waterResult;
if (waterResult.value > 0.3) {
results.floodRisk += 20;
results.riskFactors.highWaterContent = true;
}
}
}
// Terrain analysis for drainage
console.log('Analyzing terrain and drainage...');
const elevationResult = await callEarthEngine('earth_engine_process', {
operation: 'terrain',
terrainType: 'elevation',
region: config.region
});
if (elevationResult.success) {
results.terrain.elevation = elevationResult;
if (elevationResult.min < 10) {
results.floodRisk += 30;
results.riskFactors.lowElevation = 'HIGH_RISK';
results.vulnerableAreas.push('Low-lying areas below 10m elevation');
}
}
const slopeResult = await callEarthEngine('earth_engine_process', {
operation: 'terrain',
terrainType: 'slope',
region: config.region
});
if (slopeResult.success) {
results.terrain.slope = slopeResult;
if (slopeResult.mean < 2) {
results.floodRisk += 15;
results.riskFactors.poorDrainage = 'FLAT_TERRAIN';
}
}
// Precipitation analysis
console.log('Analyzing precipitation patterns...');
const precipResult = await callEarthEngine('earth_engine_process', {
operation: 'analyze',
analysisType: 'statistics',
datasetId: 'UCSB-CHG/CHIRPS/DAILY',
reducer: 'max',
startDate: config.startDate,
endDate: config.endDate,
region: config.region,
scale: 5000
});
if (precipResult.success) {
results.precipitation = precipResult;
if (precipResult.value > 50) {
results.floodRisk += 25;
results.riskFactors.heavyRainfall = true;
}
}
// Urban development analysis (for urban flooding)
if (config.floodType === 'urban') {
console.log('Analyzing urban imperviousness...');
const ndbiResult = await callEarthEngine('earth_engine_process', {
operation: 'index',
indexType: 'NDBI',
datasetId: config.dataset,
startDate: config.startDate,
endDate: config.endDate,
region: config.region
});
if (ndbiResult.success) {
results.urbanization = ndbiResult;
if (ndbiResult.value > 0.2) {
results.floodRisk += 20;
results.riskFactors.highImperviousness = true;
results.vulnerableAreas.push('Highly urbanized areas with poor drainage');
}
}
}
// Snow analysis (for snowmelt flooding)
if (config.floodType === 'snowmelt') {
console.log('Analyzing snow cover...');
const ndsiResult = await callEarthEngine('earth_engine_process', {
operation: 'index',
indexType: 'NDSI',
datasetId: config.dataset,
startDate: config.startDate,
endDate: config.endDate,
region: config.region
});
if (ndsiResult.success) {
results.snowCover = ndsiResult;
if (ndsiResult.value > 0.4) {
results.floodRisk += 15;
results.riskFactors.snowmeltRisk = true;
}
}
}
// Water change detection
if (config.analyzeWaterChange) {
console.log('Analyzing water extent changes...');
const changeResult = await callEarthEngine('earth_engine_process', {
operation: 'analyze',
analysisType: 'change',
datasetId: config.dataset,
startDate: config.startDate,
endDate: config.endDate,
region: config.region
});
if (changeResult.success) {
results.waterChange = changeResult;
results.riskFactors.waterExpansion = changeResult.change > 0;
}
}
// Determine flood risk level and mitigation strategies
if (results.floodRisk >= 70) {
results.riskLevel = 'CRITICAL';
results.mitigationStrategies = [
'Immediate flood warnings required',
'Evacuate low-lying areas',
'Deploy emergency pumping stations',
'Open flood gates and diversions',
'Activate emergency response teams'
];
} else if (results.floodRisk >= 50) {
results.riskLevel = 'HIGH';
results.mitigationStrategies = [
'Issue flood watches',
'Prepare evacuation routes',
'Clear storm drains',
'Sand bag vulnerable areas',
'Monitor water levels closely'
];
} else if (results.floodRisk >= 30) {
results.riskLevel = 'MODERATE';
results.mitigationStrategies = [
'Continue monitoring',
'Maintain drainage systems',
'Public awareness campaigns',
'Review flood plans'
];
} else {
results.riskLevel = 'LOW';
results.mitigationStrategies = [
'Routine monitoring',
'Preventive maintenance'
];
}
results.success = true;
} catch (error) {
results.success = false;
results.error = error.message;
}
return results;
}
/**
* AGRICULTURAL MONITORING MODEL
* Comprehensive crop health and yield prediction
*
* @param {Object} options Configuration options
* @returns {Object} Agricultural analysis results
*/
async function agriculturalMonitoring(options = {}) {
const config = {
region: options.region || 'Sacramento Valley',
cropType: options.cropType || 'general',
startDate: options.startDate || '2023-03-01',
endDate: options.endDate || '2023-09-30',
scale: options.scale || 30,
indices: options.indices || ['NDVI', 'EVI', 'SAVI', 'NDWI'],
dataset: options.dataset || 'COPERNICUS/S2_SR_HARMONIZED'
};
const results = {
metadata: config,
cropHealth: {},
vegetationIndices: {},
waterStress: {},
soilConditions: {},
yieldPrediction: null,
recommendations: []
};
try {
// Calculate vegetation indices
for (const index of config.indices) {
console.log(`Calculating ${index} for crop monitoring...`);
const indexResult = await callEarthEngine('earth_engine_process', {
operation: 'index',
indexType: index,
datasetId: config.dataset,
startDate: config.startDate,
endDate: config.endDate,
region: config.region
});
if (indexResult.success) {
results.vegetationIndices[index] = indexResult;
// Interpret for crop health
if (index === 'NDVI') {
if (indexResult.value > 0.6) {
results.cropHealth.status = 'HEALTHY';
results.cropHealth.vigorScore = 85;
} else if (indexResult.value > 0.4) {
results.cropHealth.status = 'MODERATE';
results.cropHealth.vigorScore = 60;
} else {
results.cropHealth.status = 'STRESSED';
results.cropHealth.vigorScore = 30;
}
}
if (index === 'NDWI' && indexResult.value < 0) {
results.waterStress.level = 'HIGH';
results.recommendations.push('Increase irrigation frequency');
}
}
}
// Time series for growth monitoring
console.log('Analyzing crop growth patterns...');
const growthResult = await callEarthEngine('earth_engine_process', {
operation: 'analyze',
analysisType: 'timeseries',
datasetId: config.dataset,
band: 'B8', // NIR band
reducer: 'mean',
startDate: config.startDate,
endDate: config.endDate,
region: config.region,
scale: config.scale
});
if (growthResult.values) {
results.growthPattern = growthResult;
// Simple yield prediction based on peak NDVI
const peakValue = Math.max(...growthResult.values.map(v => v.value));
results.yieldPrediction = {
estimated: peakValue * 100, // Simplified calculation
confidence: 'MODERATE',
unit: 'relative_units'
};
}
// Soil moisture analysis
console.log('Analyzing soil conditions...');
const saviResult = await callEarthEngine('earth_engine_process', {
operation: 'index',
indexType: 'SAVI',
datasetId: config.dataset,
startDate: config.startDate,
endDate: config.endDate,
region: config.region
});
if (saviResult.success) {
results.soilConditions.moisture = saviResult;
if (saviResult.value < 0.3) {
results.recommendations.push('Soil moisture critically low - immediate irrigation needed');
}
}
// Generate crop-specific recommendations
if (results.cropHealth.status === 'STRESSED') {
results.recommendations.push(
'Apply fertilizer to boost crop health',
'Check for pest infestations',
'Consider foliar nutrient application'
);
}
if (results.cropHealth.status === 'HEALTHY') {
results.recommendations.push(
'Maintain current management practices',
'Monitor for optimal harvest timing'
);
}
results.success = true;
} catch (error) {
results.success = false;
results.error = error.message;
}
return results;
}
/**
* DEFORESTATION DETECTION MODEL
* Monitors forest loss and degradation
*
* @param {Object} options Configuration options
* @returns {Object} Deforestation analysis results
*/
async function deforestationDetection(options = {}) {
const config = {
region: options.region || 'Amazon',
baselineStart: options.baselineStart || '2023-01-01',
baselineEnd: options.baselineEnd || '2023-03-31',
currentStart: options.currentStart || '2023-10-01',
currentEnd: options.currentEnd || '2023-12-31',
scale: options.scale || 30,
dataset: options.dataset || 'COPERNICUS/S2_SR_HARMONIZED'
};
const results = {
metadata: config,
forestCover: {},
deforestation: {},
degradation: {},
carbonLoss: null,
alerts: []
};
try {
// Calculate baseline forest cover
console.log('Analyzing baseline forest cover...');
const baselineNDVI = await callEarthEngine('earth_engine_process', {
operation: 'index',
indexType: 'NDVI',
datasetId: config.dataset,
startDate: config.baselineStart,
endDate: config.baselineEnd,
region: config.region
});
// Calculate current forest cover
console.log('Analyzing current forest cover...');
const currentNDVI = await callEarthEngine('earth_engine_process', {
operation: 'index',
indexType: 'NDVI',
datasetId: config.dataset,
startDate: config.currentStart,
endDate: config.currentEnd,
region: config.region
});
if (baselineNDVI.success && currentNDVI.success) {
results.forestCover.baseline = baselineNDVI.value;
results.forestCover.current = currentNDVI.value;
const loss = baselineNDVI.value - currentNDVI.value;
results.deforestation.percentLoss = (loss / baselineNDVI.value) * 100;
if (results.deforestation.percentLoss > 10) {
results.alerts.push({
type: 'CRITICAL',
message: 'Significant forest loss detected',
action: 'Immediate investigation required'
});
}
// Estimate carbon loss (simplified)
results.carbonLoss = {
estimated: results.deforestation.percentLoss * 100,
unit: 'tons CO2',
confidence: 'LOW'
};
}
// Change detection
console.log('Performing change detection...');
const changeResult = await callEarthEngine('earth_engine_process', {
operation: 'analyze',
analysisType: 'change',
datasetId: config.dataset,
startDate: config.baselineStart,
endDate: config.currentEnd,
region: config.region
});
if (changeResult.success) {
results.changeDetection = changeResult;
}
// Generate alerts and recommendations
if (results.deforestation.percentLoss > 5) {
results.recommendations = [
'Deploy ground teams for verification',
'Increase monitoring frequency',
'Alert local authorities',
'Document affected areas'
];
}
results.success = true;
} catch (error) {
results.success = false;
results.error = error.message;
}
return results;
}
/**
* WATER QUALITY MONITORING MODEL
* Analyzes water bodies for quality indicators
*
* @param {Object} options Configuration options
* @returns {Object} Water quality analysis results
*/
async function waterQualityMonitoring(options = {}) {
const config = {
region: options.region || 'Lake Tahoe',
startDate: options.startDate || '2023-06-01',
endDate: options.endDate || '2023-08-31',
waterBody: options.waterBody || 'lake',
scale: options.scale || 30,
dataset: options.dataset || 'COPERNICUS/S2_SR_HARMONIZED'
};
const results = {
metadata: config,
waterIndices: {},
turbidity: null,
algaeBloom: null,
temperature: null,
qualityScore: 0,
warnings: []
};
try {
// Water detection
console.log('Detecting water bodies...');
const mndwiResult = await callEarthEngine('earth_engine_process', {
operation: 'index',
indexType: 'MNDWI',
datasetId: config.dataset,
startDate: config.startDate,
endDate: config.endDate,
region: config.region
});
if (mndwiResult.success) {
results.waterIndices.MNDWI = mndwiResult;
// Estimate turbidity from band ratios
results.turbidity = {
level: mndwiResult.value < 0.3 ? 'HIGH' : 'LOW',
value: (1 - mndwiResult.value) * 100,
unit: 'NTU_estimate'
};
if (results.turbidity.level === 'HIGH') {
results.warnings.push('High turbidity detected - possible sediment influx');
results.qualityScore -= 30;
} else {
results.qualityScore += 30;
}
}
// Chlorophyll/algae detection (using green band)
console.log('Detecting algae blooms...');
const greenBandAnalysis = await callEarthEngine('earth_engine_process', {
operation: 'analyze',
analysisType: 'statistics',
datasetId: config.dataset,
band: 'B3', // Green band
reducer: 'mean',
startDate: config.startDate,
endDate: config.endDate,
region: config.region,
scale: config.scale
});
if (greenBandAnalysis.success) {
// High green reflectance may indicate algae
results.algaeBloom = {
risk: greenBandAnalysis.value > 0.15 ? 'HIGH' : 'LOW',
chlorophyllEstimate: greenBandAnalysis.value * 100,
unit: 'relative_units'
};
if (results.algaeBloom.risk === 'HIGH') {
results.warnings.push('Potential algae bloom detected');
results.qualityScore -= 25;
} else {
results.qualityScore += 25;
}
}
// Time series for trend analysis
console.log('Analyzing water quality trends...');
const trendResult = await callEarthEngine('earth_engine_process', {
operation: 'analyze',
analysisType: 'timeseries',
datasetId: config.dataset,
band: 'B2', // Blue band for water clarity
reducer: 'mean',
startDate: config.startDate,
endDate: config.endDate,
region: config.region,
scale: config.scale
});
if (trendResult.values) {
results.clarityTrend = trendResult;
// Check if water clarity is declining
const values = trendResult.values.map(v => v.value);
const trend = values[values.length - 1] - values[0];
if (trend < 0) {
results.warnings.push('Water clarity declining over time');
results.qualityScore -= 20;
} else {
results.qualityScore += 20;
}
}
// Overall water quality assessment
results.qualityScore = Math.max(0, Math.min(100, results.qualityScore + 50));
if (results.qualityScore >= 70) {
results.qualityLevel = 'GOOD';
results.recommendations = ['Continue regular monitoring'];
} else if (results.qualityScore >= 40) {
results.qualityLevel = 'MODERATE';
results.recommendations = [
'Increase monitoring frequency',
'Investigate pollution sources',
'Test water samples'
];
} else {
results.qualityLevel = 'POOR';
results.recommendations = [
'Immediate water quality testing required',
'Issue health advisories',
'Investigate contamination sources',
'Implement remediation measures'
];
}
results.success = true;
} catch (error) {
results.success = false;
results.error = error.message;
}
return results;
}
// Export all models - CommonJS only for Next.js compatibility
module.exports = {
wildfireRiskAssessment,
floodRiskAssessment,
agriculturalMonitoring,
deforestationDetection,
waterQualityMonitoring,
callEarthEngine
};