Add landuse module (ESA WorldCover) with Manning roughness#11
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floodpath.landuse provides a global 11-class land-cover raster from ESA WorldCover (10 m, AWS Open Data S3) and a derivation of Manning's roughness coefficient n from the categorical classes for use by future hydraulic-routing functions. - floodpath/landuse/worldcover.py: get_worldcover_landuse via /vsicurl/ window reads (DEM-style; tiles are 3deg COGs that honour HTTP range, so no full-tile cache is needed). Supports 2020 v100 and 2021 v200. - floodpath/landuse/roughness.py: landuse_to_roughness + RoughnessGrid + WORLDCOVER_MANNING_N default mapping (Chow 1959 Table 5-6 / USACE EM 1110-2-1417 floodplain values: 0.025 for water/bare, 0.150 for dense tree cover). Users can pass site-calibrated mappings. - LanduseGrid carries class_counts(), class_name(), fraction() helpers. - Tests: 28 landuse + 17 roughness (45 offline, 3 integration) including a committed Robit Bata WorldCover fixture (40 KB, 900x900 cells) with pinned per-class counts and pinned roughness stats. One live ESA fetch regression test guards the fixture. - Also: add .pypirc to .gitignore (safety; was missed in v0.1.0 release).
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Module surface
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