This dataset is part of the proposed Marlborough Environment Plan, as amended by decisions.The layer identifies land subject to Level 1, 2, 3 and 4 flood hazard.For more information, check the Marlborough Environment Plan website.Symbology settings for display in GIS applications:Level 1 : Outline - None, Fill - RGB 179, 247, 255Level 2: Outline - None, Fill - RGB 51, 166, 217Level 3: Outline - None, Fill RGB 255, 217, 64Level R: Cross-hatching, seperation 8, RGB 255, 0, 0,, width 0.4. Outline RGB 255, 0, 0, width 0.4

Cartographic version of overlay district (flood hazard area), Marlboro, Vermont. Base zoning districts are in a separate shapefile. Data were originally created by WRC in 2018. Marlboro's zoning bylaw was adopted on March 6, 2018. The town-identified flood hazard area is defined by the Marlboro Planning Commission and are part of the Flood and Fluvial Erosion Hazard overlay, which also includes Special Flood Hazard Area (FEMA) and River Corridor (VT ANR) data.

A record of the Top of the South Island severe weather emergency event August 2022.

Orthophotography within the Tasman, Nelson City and Marlborough District totaling approximately 918km². Captured between the 23rd August 2022 and 6th September 2022. Coverage includes Nelson to Brightwater, including the Waimea River, State Highway 6 from Hira to Rai Valley and Ōkiwi Bay access road, plus Abel Tasman Drive, Bird Hill and Takaka Hill in Golden Bay.

Imagery was captured for Nelson City Council, Tasman District Council and Waka Kotahi by Aerial Surveys Ltd, Unit A1, 8 Saturn Place, Albany 0632, New Zealand.

Data comprises: • 2658 ortho-rectified RGB GeoTIFF images in NZTM projection, tiled into the LINZ Standard 1:1000 tile layout • Tile layout in NZTM projection containing relevant information.

The supplied imagery is in terms of New Zealand Transverse Mercator (NZTM) map projection. Please refer to the tile index layer for specific details, naming conventions, etc.

Imagery supplied as 15cm pixel resolution (0.15 m GSD), 3-band (RGB) uncompressed GeoTIFF. The final spatial accuracy is ±0.5 at 95% confidence level in clear flat areas.

Index tiles for this dataset are available as layer Top of the South 0.15m Flood Aerial Photos Index Tiles (2022)