LQV · Context Map — parcel / 5 / 10 / 20 / 30 km radius

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Property — what we own 5

GPS-walked perimeter · 71.4 ha 17 GPS corners walked 06-22 + 06-28 · 4.26 km perimeter · client_gps_polygon.geojson ↓ GPS corners · 17 walked Each corner icon matches the Guru Maps bookmark style Wes used on his phone · client_gps_corners.geojson — ↓ Named features · gate, waterfall, summit 3 POI Waypoints labelled in Guru Maps · waterfall is the GPS-confirmed 274 m cascade · client_gps_features.geojson — ↓ Legacy: 30.9 ha KML subset Pre-Wes KML polygon (June 2024) — kept only for historical comparison · do NOT use for the escritura · escobar_polygon_legacy.geojson ↓ Legacy: 62 ha AOI buffer 2024 satellite-derived polygon (62.7 ha projected) — superseded by the walked perimeter · aoi_62_extended_legacy.geojson ↓

Wes's walk — captured in time order 2

Walking track · 20 GPS pts + timestamps Time-ordered LineString of all 20 captures · animates during replay · client_gps_walking_path.geojson ↓ By session: 06-22 purple, 06-28 orange Same 20 pts split into 2 sessions for visual diff · client_gps_walking_sessions.geojson ↓

2 walks · 06-22 (5 pts, 36 min) + 06-28 (15 pts, 2h 13 min).
Span · 06-22 15:37 → 06-28 14:18 UTC. Click Replay to watch the perimeter built in time order. Drag the slider to scrub.

Terrain & water — how the land shapes the water 14

District scale — full Escobar

Escobar-wide hillshade · 25×36 km · full district context Source: Copernicus GLO-30 v1 30 m DEM · Horn hillshade 315°/45° · ~25 × 36 km covering Escobar District, Paraguarí · hillshade_escobar.jpg · shows terrain form outside the 10 km box Escobar colour-relief · green lowlands → brown uplands Source: Copernicus GLO-30 v1 30 m DEM · elevation-banded colour ramp (80–440 m) blended with hillshade · full district · color_relief_escobar.jpg

10 km box — contours + DEM

Hillshade · 10 km box · 30 m COP30 Why streams sit where they do · Horn 315°/45° at 2 m/pixel · hillshade_10km.jpg Elevation contours · 50 m steps · 10 km box (—) Source: derived from Copernicus GLO-30 DEM via Python contour extraction · every 100 m line is thicker · click a line for its elevation · dem_contours_10km.geojson ↓ Parcel-scale hillshade · 5 m fused topology DEM Source: tier-1 topology DEM (LIDAR-grade P-correction applied) · Horn 315°/45° · 344 × 380 px covering the 62 ha walked polygon · for parcel-zoom detail · hillshade_parcel.jpg Parcel contours · 5 m steps · 5 m fused topology DEM (—) Generated from the 5 m tier-1 topology DEM — 133 contours inside the parcel · dem_contours_parcel_5m.geojson ↓ 10-km elevation colour-relief Same 30 m DEM · colour-banded by elevation · alternative to hillshade for printing · dem_color_relief_10km.jpg

Hydrology — derived + GPS + OSM

LQV quebrada · ground-truth from GPS walk · 1.2 km · — Stream segment Wes walked through on 06-28 · the year-round quebrada the property is centred on · local_quebradas_10km.geojson ↓ DEM quebrada streams · model-derived (—) 3,273 streams · D8 + flow-accumulation threshold · rivers ≥ 25 km² (42) · tributaries 5–25 km² (328) · creeks 1–5 km² (1,342) · dem_streams_10km.geojson ↓ Flow arrows · which way water runs (—) 663 arrow markers placed at slope-direction maxima across the 10 km box · dem_streams_arrows_10km.geojson ↓ OSM waterways · mapper ground truth · — lines OpenStreetMap Overpass query · each line carries name (when mappers labelled it) and waterway tag · osm_10km/waterways.geojson ↓ OSM water polygons · lakes, ponds, reservoirs · — OpenStreetMap natural=water + water=lake/pond/reservoir · 0 fall inside the parcel · osm_10km/water.geojson ↓ Audited wetlands · — polygons · click for verdict MapBiomas classes 11 + 12 hand-checked against Sentinel-2 NIR · each polygon carries a verdict (confirmed / likely / reject) · surface_water_10km.geojson ↓ HAND floodplain · — polygons · DEM-derived Height Above Nearest Drainage (Rennó et al.) — 0 m = on the river, 100 m = on a ridge · hand_10km.geojson ↓ JRC satellite-detected waterbodies · 3 confirmed JRC Global Surface Water v1.4 · 1984–2024 monthly water-classified Landsat pixels · only pixels with ≥ 10 yr confirmed presence · lqv_jrc_waterbodies_10km.geojson ↓ Combined water · all 4 sources · — features OSM + JRC + MapBiomas + DEM-quebradas — the union of every wet pixel in the 10 km box · water_combined_10km.geojson ↓

Tip: toggle hillshade + streams-10km + flow arrows together to read the full water story — the quebradas and creeks click cleanly into the elevation shading.

Geographic features — cerros, slopes, aspects

Multi-directional hillshade · 4-azimuth blend · 10 km box Combines hillshade from 4 sun positions (NW · NE · E · S) so mountains stay readable from every direction · multi_hillshade_10km.jpg Slope map · degrees · 10 km box Horn's slope from the 30 m DEM · green=flat · yellow=moderate · red=steep · click anywhere on the map for the local slope in the popup · slope_10km.jpg Aspect map · slope direction · 10 km box HSV color-wheel: red=N · yellow=E · green=S · cyan=W · purple=NW (interpolated) · which way each slope faces · aspect_10km.jpg Cerros & peaks · — detected summits · click for elevation DEM-derived local maxima from closed contour rings (Copernicus GLO-30, 30 m). Each cerro labelled by directional bearing from LQV parcel · peaks_10km.geojson ↓

3D-feel recipe: multi-hillshade (0.55) + aspect (0.35) overlaid → mountains gain visible form even on a flat 2D map. Add cerros for clickable elevation labels.

Land cover & forest change 5

NDVI continuous backdrop · parcel-scale forest visibility Source: Sentinel-2 L2A June 2026 composite · NDVI = (NIR−RED)/(NIR+RED) · ndvi_canopy_10km.png ↓ Sentinel-2 NDVI polygons · 4 classes (—) Source: continuous NDVI raster classified into 4 quantile bins · ndvi_canopy_10km.geojson ↓ MapBiomas 2023 land cover · 9 classes (—) Source: MapBiomas Paraguay Collection 2 categorical · 10 classes observed in 10 km box · mapbiomas_2023_10km.geojson ↓ Hansen forest loss · 2001–2024 (—) Source: Hansen GFC v1.12 loss year · red = canopy-loss event observed by Landsat · hansen_loss_10km.geojson ↓ Hansen forest gain · 2000–2012 (—) Source: Hansen GFC v1.12 gain year · only the first 12 yrs tracked by the algorithm · hansen_gain_10km.geojson ↓

0	NDVI < 0.25 — bare / grass
1	NDVI 0.25–0.45 — sparse woody
2	NDVI 0.45–0.60 — open forest (typical LQV)
3	NDVI > 0.60 — dense forest

3	Forest Formation — upland Atlantic Forest
6	Flooded Forest — gallery along rivers
9	Forest Plantation — palm or managed woody
11	Wetland — saturated soils / standing water
12	Grassland — herbaceous cover, savanna-like
15	Pasture — managed grazing
18	Agriculture — row crops / tilled
22	Non-vegetated Area — bare soil / road
26	Water — open water (river / lake)

Each layer covers the full 10 km box. The combined story at the LQV parcel: stable forest (39-yr Hansen) + open-canopy Atlantic Forest (MapBiomas class 3) + NDVI 0.45–0.60 (Sentinel-2).

OSM context — what's around 6

Roads & tracks · — OSM highway=* all classes · primary/secondary in gold · residential/tracks in muted · osm_10km/roads.geojson ↓ Towns & villages · — OSM place=town + place=village + place=hamlet · 12 in the 10 km box (none inside the parcel) · osm_10km/places.geojson ↓ Woodland & forest merged · — polygons Source: MapBiomas + Hansen + OSM + NDVI union · the comprehensive "all forest" view · woodland_merged_10km.geojson ↓ OSM trees only · — points OSM natural=tree only — what mappers individually tagged · 1,272 tagged tree locations · does NOT represent the full forest · osm_10km/trees.geojson ↓ Buildings · — OSM building=* all classes · 10 fall inside the parcel (these are the existing informal structures inside the walked boundary) · osm_10km/buildings.geojson ↓ Land use polygons · — OSM landuse=* (farmland, forest, residential, meadow…) · 1 falls inside the parcel · osm_10km/landuse.geojson ↓ Points of interest · — OSM amenity=* + shop=* + tourism=* (restaurants, hospitals, schools) · osm_10km/pois.geojson ↓

Actions

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M measure distance · L label declutter · [ collapse sidebar.

About this map

Property perimeter from Wesley's on-the-ground GPS walk (Guru Maps iOS, 06-22 + 06-28): 17 corners, walked in order, 4.26 km perimeter, 71.4 ha projected. Handheld GPS accuracy ±3–5 m per point — not survey-grade.

Timestamps recovered from the live Guru Maps share (KML · 20 timestamps). Two sessions: 5 pts on 06-22 (north ridge), 15 pts on 06-28 (full perimeter). Hit ▶ Replay walk above to watch the perimeter being captured in time order.

10 km box (-57.13 / -56.93 lon, -25.70 / -25.52 lat) centred on the GPS centroid. Built from:
· Sentinel-2 L2A NDVI (mosaic of 2 MGRS tiles)
· Copernicus GLO-30 DEM + D8 flow accumulation
· JRC Global Surface Water 1984–2024
· MapBiomas Paraguay Collection 2 (2023)
· Hansen GFC v1.12 forest loss / gain
· OpenStreetMap Overpass (2026-07-05): 30,166 features

Escobar-District box (-57.22 / -57.00 lon, -25.78 / -25.46 lat) covers the full district of Escobar, Paraguarí. Same Copernicus GLO-30 DEM, clipped to the district extent. 2 new layers (Escobar-wide hillshade + Escobar colour-relief) live in the Terrain section.

Layer authoring tools:
· scripts/build_escobar_hillshade.py — produces the district-scale hillshade + color-relief from a clipped Copernicus DEM.
· scripts/derive_hydro.py — D8 flow accumulation, contour extraction, quebrada stream classification, HAND.
· scripts/build_viewer_data.py — orchestrates everything into data/ for the web viewer.

Icons courtesy of Guru Maps — the same bookmark pins Wes uses in his iOS app appear here so the map reads identically to his phone view.

Property coverage matrix

For each layer, how many features intersect the LQV parcel (the 71.4 ha ground-truth polygon). Hover a layer in the sidebar to see the count.

Layer	Total	Inside
Computing…

Forest change 1985 → 2023

MapBiomas Collection 2 forest area (classes 3 + 6) inside the 10 km box over time. The LQV parcel itself has been stable forest for 39 years.

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