Wimple resources

Geographical and Biological indicators:

 

Name

Creation Date

Date Range

Author

Spatial Resolution

Temporal Resolution

Location

Shuttle Radar Topography Mission

January 28, 2020

02/11/2000- 02/22/2000

NASA Open Data

90m, 30m

N/A

https://data.nasa.gov/dataset/Shuttle-Radar-Topography-Mission/asjz-q6b2

Description: A near-global Digital Elevation Model that allows software authors to determine the terrain height of nearly any point on Earth.

MODIS Vegetation Index

Regularly Updated

02/18/2000-02/17/2023

NASA, University of Arizona, USGS

250m->1km

16 days

https://lpdaac.usgs.gov/products/mod13q1v006/

Description: MODIS vegetation indices, produced on 16-day intervals and at multiple spatial resolutions, provide consistent spatial and temporal comparisons of vegetation canopy greenness, a composite property of leaf area, chlorophyll and canopy structure. Two vegetation indices are derived from atmospherically-corrected reflectance in the red, near-infrared, and blue wavebands; the normalized difference vegetation index (NDVI), which provides continuity with NOAA’s AVHRR NDVI time series record for historical and climate applications, and the enhanced vegetation index (EVI), which minimizes canopy-soil variations and improves sensitivity over dense vegetation conditions. The two products more effectively characterize the global range of vegetation states and processes.

Vegetation Index and Phenology (VIP)

09/16/2016

1981/01/01-2014/12/31

NASA, USGS

5.6km

Daily

Vegetation Index and Phenology (VIP)

Description: The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Vegetation Index and Phenology (VIP) global datasets were created using Advanced Very High Resolution Radiometer (AVHRR) N07, N09, N11, and N14 datasets (1981 – 1999) and Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra MOD09 surface reflectance data (2000 – 2014). The VIP Vegetation Index (VI) product was developed to provide consistent measurements of the Normalized Difference Vegetation Index (NDVI) and modified Enhanced Vegetation Index (EVI2) spanning more than 30 years of data from multiple sensors. The EVI2 is a backward extension of AVHRR. Vegetation indices such as NDVI and EVI2 are useful for assessing the biophysical properties of the land surface, and are used to characterize vegetation phenology. Phenology tracks the seasonal life cycle of vegetation, and provides information on the biotic response to environmental changes.

Vegetation Drought Response Index (VegDRI)

2019-03-25

1970/01/01-current

NASA, USGS, High Plains Regional Climate Center, USDA

variable

 

14-day

https://cmr.earthdata.nasa.gov/search/concepts/C1220567914-USGS_LTA.html

Description: VegDRI maps are produced every two weeks and provide regional to sub-county scale information about drought’s effects on vegetation. In 2006, VegDRI covered seven states in the Northern Great Plains (CO, KS, MT, NE, ND, SD, and WY). It expanded across eight more states in 2007 to cover the rest of the Great Plains (NM, OK, MO, and TX) and parts of the Upper Midwest (IA, IL, MN, and WI). VegDRI expanded to include the western U.S. in 2008 (WA, ID, OR, UT, CA, AZ, NV). In May 2009 VegDRI began depicting the eastern states as well, covering the entire conterminous 48-state area.

 

Fire Datasets

 

Name

Creation Date

Date Range

Author

Spatial Resolution

Temporal Resolution

Location

Remote Sensing Data Before and After California Rim and King Forest Fires

2016/09/07

2010/07/21 – 2014/11/17

Oak Ridge National Labratory

14.6m, 35m, 1m,1.5m, 30m

Variable

https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1288

Description: This data set provides high-resolution surface reflectance, thermal imagery, burn severity metrics, and LiDAR-derived structural measures of forested areas in the Sierra Nevada Mountains, California, USA, collected before and after the August 2013 Rim and September 2014 King mega forest fires. Pre-fire data were paired with post-fire collections to assess pre- and post-fire landscape characteristics and fire severity. Field estimates of fire severity were collected to compare with derived remote sensing indices. Reflectance measurements for the spectroscopic AVIRIS and MASTER sensors are distributed as multi-band geotiffs for each megafire and acquisition date. Derived operational metric products for each sensor are provided in individual GeoTIFFs. GeoTIFFs produced from LiDAR point data depict first order topographic indices and summary statistics of vertical vegetation structure.

Global Fire Atlas with Characteristics of Individual Fires

02/14/2019

2003-2016

Oak Ridge National Lab

500m

daily

https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1642

Description: The Global Fire Atlas is a global dataset that tracks the day-to-day dynamics of individual fires to determine the timing and location of ignitions and fire size, duration, daily expansion, fire line length, speed, and direction of spread.

VIIRS (S-NPP) I Band 375 m Active Fire Product NRT

01/2014

01/01/2016-current

NASA

375m

realtime

https://www.earthdata.nasa.gov/learn/find-data/near-real-time/firms/viirs-i-band-375-m-active-fire-data

Description: Near real-time (NRT) Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fire detection product is based on that instrument’s 375 m nominal resolution data. Compared to other coarser resolution (≥1km) satellite fire detection products, the improved 375 m data provide greater response over fires of relatively small areas, as well as improved mapping of large fire perimeters. Consequently, the data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity.

Precipitation

 

Name

Creation Date

Date Range

Author

Spatial Resolution

Temporal Resolution

Location

Global Drought Hazard Frequency and Distribution

2005

1980-2000

Columbia University, World Bank

0.0417 degree

daily

https://sedac.ciesin.columbia.edu/data/set/ndh-drought-hazard-frequency-distribution

Description: The Global Drought Hazard Frequency and Distribution is a 2.5 minute grid based upon the International Research Institute for Climate Prediction’s (IRI) Weighted Anomaly of Standardized Precipitation (WASP). Utilizing average monthly precipitation data from 1980 through 2000 at a resolution of 2.5 degrees, WASP assesses the precipitation deficit or surplus over a three month temporal window that is weighted by the magnitude of the seasonal cyclic variation in precipitation. The three months’ averages are derived from the precipitation data and the median rainfall for the 21 year period is calculated for each grid cell. Grid cells where the three month running average of precipitation is less than 1 mm per day ae excluded. Drought events are identified when the magnitude of a monthly precipitation deficit is less than or equal to 50 percent of its longterm median value for three or more consecutive months. Grid cells are then divided into 10 classes having an approximately equal number of grid cells. Higher grid cell values denote higher frequencies of drought occurrences. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), Columbia University International Research Institute for Climate Prediction (IRI), and Columbia University Center for International Earth Science Information Network (CIESIN).

Global Precipitation Climatology Centre (GPCC)

2011

1892-present

NOAA

0.5, 1.0, 2.5 degree resolutions

monthly

https://psl.noaa.gov/data/gridded/data.gpcc.html

Description: Three datasets are provided here. First is the monitoring product for the period 1982 to present, based on quality-controlled data from 7,000 stations. The second is the Full Data Product (V2020)for the period 1891 to 2019, based on quality-controlled data from from 67,200 stations world-wide that feature record durations of 10 years or longer. This product contains the monthly totals on a regular grid with a spatial resolution of 0.25° x0.25° , 0.5° x 0.5°, 1.0° x 1.0°, and 2.5° x 2.5° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2020 in the corresponding resolution.

The third is the first guess (1×1) which is most up-to-date but which has limited analyzed stations.

NOAA Global Surface Temperature Dataset

06/01/2015

1871-present

NOAA

5 x 5 degree

monthly

https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00934

Description: The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is derived from two independent analyses: the Extended Reconstructed Sea Surface Temperature (ERSST) analysis and the land surface temperature (LST) analysis using the Global Historical Climatology Network (GHCN) temperature database. The data is merged into a monthly global surface temperature dataset dating back from 1880 to the present, updated monthly, in gridded (5 degree x 5 degree) and time series formats. This data set is used in climate monitoring assessments of near-surface temperatures on a global scale. The changes from version 3.5.4 to version 4.0.0 include an update to the primary input dataset (ERSST) now at version 4.0.0 and GHCN-Monthly now at version 3.3.0. This dataset is formerly known as Merged Land-Ocean Surface Temperature (MLOST).

Historic Fire Datasets

 

Name

Creation Date

Date Range

Author

Spatial Resolution

Temporal Resolution

Location

InFORM Fire Occurrence Data Records

9/9/2014

2000-current

National Interagency Fire Center

Exact (based on InFORM report)

exact

https://data-nifc.opendata.arcgis.com/datasets/nifc::inform-fire-occurrence-data-records/about

Description: Incident records for all known fire occurrence in the United States shown as point locations.

This data set is part of an ongoing project to consolidate interagency fire perimeter data. The record is complete from the present back to 2020.

The incorporation of all available historic data is in progress.

The InFORM (Interagency Fire Occurrence Reporting Modules) FODR (Fire Occurrence Data Records) are the official record of fire events. Built on top of IRWIN (Integrated Reporting of Wildland Fire Information), the FODR starts with an IRWIN record and then captures the final incident information upon certification of the record by the appropriate local authority.

Inter Agency
Fire Perimeter
History All Years View

06/17/2022

01/01/2021-06/15/2022

National Interagency Fire Center

variable

daily

https://data-nifc.opendata.arcgis.com/datasets/nifc::interagencyfireperimeterhistory-all-years-view/about

Description: The national fire history perimeter data layer of conglomerated Agency Authoratative perimeters was developed in support of the WFDSS application and wildfire decision support for the 2021 fire season. The layer encompasses the final fire perimeter datasets of the USDA Forest Service, US Department of Interior Bureau of Land Management, Bureau of Indian Affairs, Fish and Wildlife Service, and National Park Service, the Alaska Interagency Fire Center, CalFire, and WFIGS History. Perimeters are included thru the 2021 fire season. Requirements for fire perimeter inclusion, such as minimum acreage requirements, are set by the contributing agencies. 

California Wildfire History Map

Regularly updated

1878-2020

CAL FIRE

acre

daily

https://www.fire.ca.gov/what-we-do/fire-resource-assessment-program/fire-perimeters

Description: This map shows the perimeters of more than 20,000 wildfires that have been recorded in California from 1878 to 2020 using data from Cal Fire, the National Parks Service, the U.S. Forest Service, the Bureau of Land Management and the U.S. Fish and Wildlife Service. This map and data is not intended to be used for legal purposes or statistical analysis.