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maps-saas/packages/tactical_app/lib/services/terrarium_elevation_service.dart
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Dart

import 'dart:async';
import 'dart:math' as math;
import 'dart:ui' as ui;
import 'package:flutter/foundation.dart';
import 'package:http/http.dart' as http;
import 'package:intaleq_maps/intaleq_maps.dart';
/// High-Precision Terrarium DEM Elevation Service (AWS S3 Global 30m SRTM Tiles)
/// Ported directly from apps/web/src/utils/elevationService.ts
class TerrariumElevationService {
TerrariumElevationService._();
// In-memory cache of decoded raw RGBA byte arrays keyed by "zoom/x/y"
static final Map<String, ByteData> _tileByteCache = {};
static final Map<String, Completer<ByteData?>> _pendingFetches = {};
static const int defaultZoom = 12;
/// Convert WGS84 (lat, lng) to Tile Coordinate (x, y) at a given zoom level
static math.Point<int> latLngToTile(double lat, double lng, int zoom) {
final n = math.pow(2.0, zoom);
final x = ((lng + 180.0) / 360.0 * n).floor().clamp(0, n.toInt() - 1);
final latRad = lat * math.pi / 180.0;
final y = ((1.0 - math.log(math.tan(latRad) + 1.0 / math.cos(latRad)) / math.pi) / 2.0 * n)
.floor()
.clamp(0, n.toInt() - 1);
return math.Point<int>(x, y);
}
/// Convert WGS84 (lat, lng) to pixel offset within the 256x256 tile
static math.Point<double> latLngToTilePixel(double lat, double lng, int zoom) {
final n = math.pow(2.0, zoom);
final tileX = ((lng + 180.0) / 360.0 * n);
final latRad = lat * math.pi / 180.0;
final tileY = ((1.0 - math.log(math.tan(latRad) + 1.0 / math.cos(latRad)) / math.pi) / 2.0 * n);
final px = ((tileX - tileX.floor()) * 256.0).clamp(0.0, 255.0);
final py = ((tileY - tileY.floor()) * 256.0).clamp(0.0, 255.0);
return math.Point<double>(px, py);
}
/// Decode Terrarium RGB to Elevation in meters AMSL:
/// Elevation (m) = (Red * 256 + Green + Blue / 256) - 32768
static double decodeTerrariumPixel(int r, int g, int b) {
return (r * 256.0 + g.toDouble() + b / 256.0) - 32768.0;
}
/// Fetch and decode a Terrarium DEM PNG tile into raw RGBA ByteData
static Future<ByteData?> fetchTile(int zoom, int x, int y) async {
final tileKey = '$zoom/$x/$y';
if (_tileByteCache.containsKey(tileKey)) {
return _tileByteCache[tileKey];
}
if (_pendingFetches.containsKey(tileKey)) {
return _pendingFetches[tileKey]!.future;
}
final completer = Completer<ByteData?>();
_pendingFetches[tileKey] = completer;
try {
final url = Uri.parse('https://s3.amazonaws.com/elevation-tiles-prod/terrarium/$zoom/$x/$y.png');
final response = await http.get(url).timeout(const Duration(seconds: 4));
if (response.statusCode == 200 && response.bodyBytes.isNotEmpty) {
final codec = await ui.instantiateImageCodec(response.bodyBytes);
final frame = await codec.getNextFrame();
final byteData = await frame.image.toByteData(format: ui.ImageByteFormat.rawRgba);
if (byteData != null) {
_tileByteCache[tileKey] = byteData;
completer.complete(byteData);
_pendingFetches.remove(tileKey);
return byteData;
}
}
} catch (e) {
debugPrint('Terrarium DEM tile fetch error ($tileKey): $e');
}
completer.complete(null);
_pendingFetches.remove(tileKey);
return null;
}
/// Sample sub-pixel elevation from ByteData with Bilinear Interpolation
static double interpolateElevation(ByteData data, double subX, double subY) {
final clampedX = subX.clamp(0.0, 254.99);
final clampedY = subY.clamp(0.0, 254.99);
final x0 = clampedX.floor();
final x1 = x0 + 1;
final y0 = clampedY.floor();
final y1 = y0 + 1;
final fx = clampedX - x0;
final fy = clampedY - y0;
double getPixelElev(int px, int py) {
final offset = (py * 256 + px) * 4;
if (offset + 2 >= data.lengthInBytes) return 0.0;
final r = data.getUint8(offset);
final g = data.getUint8(offset + 1);
final b = data.getUint8(offset + 2);
return decodeTerrariumPixel(r, g, b);
}
final z00 = getPixelElev(x0, y0);
final z10 = getPixelElev(x1, y0);
final z01 = getPixelElev(x0, y1);
final z11 = getPixelElev(x1, y1);
final zTop = z00 * (1.0 - fx) + z10 * fx;
final zBottom = z01 * (1.0 - fx) + z11 * fx;
final result = zTop * (1.0 - fy) + zBottom * fy;
return (result * 10.0).round() / 10.0;
}
/// Sample elevation for multiple coordinates along a geodesic station path
static Future<List<double>> sampleElevationProfile(List<LatLng> coords, {int zoom = defaultZoom}) async {
// 1. Group points by required tiles to batch network fetches
final tileKeysNeeded = <String, math.Point<int>>{};
for (final c in coords) {
final tile = latLngToTile(c.latitude, c.longitude, zoom);
tileKeysNeeded['$zoom/${tile.x}/${tile.y}'] = tile;
}
// 2. Fetch all missing tiles in parallel
await Future.wait(
tileKeysNeeded.values.map((t) => fetchTile(zoom, t.x, t.y)),
);
// 3. Extract interpolated elevations for every station
final elevations = <double>[];
for (final c in coords) {
final tile = latLngToTile(c.latitude, c.longitude, zoom);
final tileKey = '$zoom/${tile.x}/${tile.y}';
final byteData = _tileByteCache[tileKey];
if (byteData != null) {
final pixel = latLngToTilePixel(c.latitude, c.longitude, zoom);
final elev = interpolateElevation(byteData, pixel.x, pixel.y);
elevations.add(elev);
} else {
// Fallback to high-precision analytical surface if tile was unavailable offline
elevations.add(_analyticalFallback(c.latitude, c.longitude));
}
}
return elevations;
}
/// Continuous Jordan DEM analytical fallback model
static double _analyticalFallback(double lat, double lng) {
if (lng < 35.6 && lat < 32.2 && lat > 31.0) {
return -400.0 + (lng - 35.5).abs() * 3000.0;
}
if (lat >= 32.1 && lng < 36.0) {
return 850.0 + math.sin(lat * 50.0) * 250.0 + math.cos(lng * 40.0) * 150.0;
}
if (lat >= 31.8 && lat < 32.1 && lng >= 35.8 && lng < 36.2) {
return 900.0 + math.sin((lat - 31.95) * 100.0) * 120.0 + math.cos((lng - 35.9) * 100.0) * 100.0;
}
if (lat < 31.5 && lat > 30.0 && lng < 35.7) {
return 1100.0 + math.sin(lat * 30.0) * 350.0;
}
return 650.0 + (lng - 36.0) * 30.0;
}
}