Flood — Awareness — Property Parcel Metrics — reference

✦ DISCOVERED BY ORIONAIVECTORbrisbaneopendataEnvironmentGlobal
Map preview of Flood — Awareness — Property Parcel Metrics — referenceGlobal

About this dataset

This table describes each metric in the Brisbane City Council dataset called Flood — Awareness — Property Parcel Metrics. Definitions for this dataset: AEP – Annual Exceedance Probability (AEP) is the probability of a flood event of a given size occurring in any one year, usually expressed as a percentage annual chance. FWPR – Floodwise Property Report (FWPR), Council's FloodWise Property Reports provide property specific flood information to enable you to plan and build in accordance with the correct requirements. Holding – A property holding is a Council-defined and managed information entity. Its boundaries are generally based on land parcels. A property holding may consist of one or multiple land parcels. Parcel – Land Parcels are the building blocks of Council properties. Land parcels (also called lots) are mapped and the title details shown on a Plan of Subdivision. The parcel is a graphical representation of surveyed boundaries together with identifiers such as Lot/Plan description and house numbers. Information about flood types can be found in open data by using this search on the Brisbane City Council open data website and opening the required dataset.

Columns (3)

OBJECTIDnumberMETRICstringDESCRIPTIONstring

Sample rows

METRICOBJECTIDDESCRIPTION
OOB_AREA1A flag that identifies that the subject parcel cannot be used to produce a FWPR.
FLOOD_INFO2A flag that defines whether the Flood Level Information Table Section is included in the FWPR.
FLOOD_EPF3A flag that defines whether the Flood Planning Information Table is included in the FWPR.
20AEP_RIVER4The highest 20% AEP flood level from River for the subject parcel, rounded to 2 decimal places.
20AEP_RIVER_C5The Catchment of the 20% flood level with a source of River for the subject parcel.
05AEP_RIVER6The highest 5% AEP flood level from River for the subject parcel, rounded to 2 decimal places.
05AEP_RIVER_C7The Catchment of the 5% flood level with a source of River for the subject parcel.
02AEP_RIVER8The highest 2% AEP flood level from River for the subject parcel, rounded to 2 decimal places.

A sample of the data. The full table and an interactive map open with a free account.

Related datasets

✦ Suggested by OrionAI
FIRM Data

The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.

Water · FEMA
fl_20231121_cog_02

Flood impact data for districts in Congo, recording flooded area, cropland flooding, and directly affected population, children, and elderly. Each feature represents an administrative district with totals for the November 2023 event. Published by Orion Terrametrics.

Water · Orion Terrametrics
Delaware DFIRM 2.0

The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.

Environment · FEMA
FEMA National Flood Hazards

Contains data from the National Flood Hazard Layer, a GIS database of flood risks and regulatory flood determination data.

Environment · FEMA
FEMA Flood Data

Contains data from the National Flood Hazard Layer, a GIS database of flood risks and regulatory flood determination data.

Environment · FEMA
NFHL_FEMA

Contains data from the National Flood Hazard Layer, a GIS database of flood risks and regulatory flood determination data.

Environment · FEMA

Indexed by OrionGIS from ArcGIS Online public items (authoritative). Data is loaded from the publisher's own server when you use it. Permanent link