Search results
Open-access hazard mapping application
- HazMapper is an open-access hazard mapping application developed in Google Earth Engine that allows users to derive map and GIS-based products from Sentinel or Landsat datasets without the time- and cost-intensive resources required for traditional analysis.
People also ask
What is hazmapper hazard mapping?
What is hazmapper?
What is the hazmapper blog?
Does hazmapper use Google Earth Engine data?
HazMapper is a collaborative project intended to increase accessibility to data processing for natural hazard identification and characterization. HazMapper leverages Google Earth Engine to democratize geospatial data processing for natural hazards applications.
HazMapper is an open-access hazard mapping application developed in Google Earth Engine that allows users to derive map and GIS-based products from Sentinel or Landsat datasets without the time- and cost-intensive resources required for traditional analysis.
- Corey M. Scheip, Karl W. Wegmann
- 2021
HazMapper is an open-access hazard mapping application developed in Google Earth Engine that allows users to derive map and GIS-based products from Sentinel or Landsat datasets without the time- and cost-intensive resources required for traditional analysis.
Oct 20, 2020 · Use HazMapper to check out a natural disaster, monitor logging operations, or check the growth-cycle status of chili pepper fields in New Mexico, among many other applications. Getting started ( click here for HazMapper) When HazMapper first launches, it takes a few seconds (~30) to load up the webpage. Expect a short delay.
The novelty in this paper is the combination of the pre existing methods of rdNDVI and greenest pixel compositing, along with the Google Earth Engine service, to map hazard related vegetation changes, as well as a simplified user interface to make this accessible to the public.
See inset map for location and 3-day rainfall totals from storm, courtesy of NASA Integrated MultisatellitE Retrievals for GPM (IMERG) program. Parameters - Dataset: Sentinel-2, Event Date: 23 Nov 2019, Pre-Window: 2 months, PostWindow: 0.5 months, maximum cloud cover: 30%, and slope threshold: 0°.