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