Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Anderson, Christopher; Marvin, David (2026): California Forest Observatory: Statewide Forest Monitoring Data [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.989871

Always quote citation above when using data! You can download the citation in several formats below.

Published: 2026-02-09 • DOI registered: 2026-03-10

RIS CitationBibTeX Citation ShareShow MapGoogle Earth

Abstract:
The California Forest Observatory is a multi-year, satellite-based forest monitoring dataset designed to map vegetation fuel distributions, change dynamics, and habitat structure across the state at high resolution. In order to support contemporary and legacy wildfire modeling systems, such as FARSITE, FlamMap, ELMFire and FSIM, the surface and canopy fuel datasets match the units and definitions of the LANDFIRE fuel and fire behavior products (Rollins 2009). Many of these datasets are also commonly used in wildlife habitat mapping, including canopy height, canopy cover, and canopy layer count, a metric of vertical habitat heterogeneity. Designed to quantify the ecological patterns driving environmental and land use policy in California, the Forest Observatory could serve as a blueprint for the next generation of conservation- and technology-driven forest monitoring.
Keyword(s):
California; canopy fuels; surface fuels; wildfire
Related to:
Brodrick, Philip G; Anderegg, Leander D L; Asner, Gregory P (2019): Dry-season canopy water content maps for California vegetation from 1990-2017, link to GeoTiffs [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.897276
References:
Brunk, Kristin M; Gutiérrez, R J; Peery, M Zachariah; Cansler, C Alina; Kahl, Stefan; Wood, Connor M (2023): Quail on fire: changing fire regimes may benefit mountain quail in fire-adapted forests. Fire Ecology, 19(1), 19, https://doi.org/10.1186/s42408-023-00180-9
Chamberlain, Caden P; Cova, Gina R; Kane, Van R; Cansler, C Alina; Kane, Jonathan T; Bartl-Geller, Bryce N; van Wagtendonk, Liz; Jeronimo, Sean M A; Stine, Peter; North, Malcolm P (2023): Sierra Nevada reference conditions: A dataset of contemporary reference sites and corresponding remote sensing-derived forest structure metrics for yellow pine and mixed-conifer forests. Data in Brief, 51, 109807, https://doi.org/10.1016/j.dib.2023.109807
Herbert, Claudia; Haya, Barbara K; Stephens, Scott L; Butsic, Van (2022): Managing nature-based solutions in fire-prone ecosystems: Competing management objectives in California forests evaluated at a landscape scale. Frontiers in Forests and Global Change, 5, 957189, https://doi.org/10.3389/ffgc.2022.957189
Manley, Patricia N; Povak, Nicholas A; Wilson, Kristen N; Fairweather, Mary Lou; Griffey, Vivian; Long, Linda L (2023): Blueprint for resilience: the Tahoe-Central Sierra Initiative. U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station, https://doi.org/10.2737/psw-gtr-277
McGinn, Kate A; Peery, M Zachariah; Zulla, Ceeanna J; Berigan, William J; Wilkinson, Zachary A; Barry, Josh M; Keane, John J; Zuckerberg, Benjamin (2023): A climate-vulnerable species uses cooler forest microclimates during heat waves. Biological Conservation, 283, 110132, https://doi.org/10.1016/j.biocon.2023.110132
Wilkinson, Zachary A; Kramer, H Anu; Jones, Gavin M; Zulla, Ceeanna J; McGinn, Kate A; Barry, Josh M; Sawyer, Sarah C; Tanner, Richard; Gutiérrez, R J; Keane, John J; Peery, M Zachariah (2023): Tall, heterogeneous forests improve prey capture, delivery to nestlings, and reproductive success for Spotted Owls in southern California. Condor, 125(1), duac048, https://doi.org/10.1093/ornithapp/duac048
Yao, Mengqi; Bharadwaj, Meghana; Zhang, Zheng; Jin, Baihong; Callaway, Duncan S (2022): Predicting electricity infrastructure induced wildfire risk in California. Environmental Research Letters, 17(9), 094035, https://doi.org/10.1088/1748-9326/ac8d18
Funding:
Gordon and Betty Moore Foundation, grant/award no. 8741: California Forest Observatory
Coverage:
Latitude: 37.225000 * Longitude: -118.848000
Event(s):
California_Forest_Observatory * Latitude: 37.225000 * Longitude: -118.848000 * Location: California, USA * Method/Device: Satellite imagery (SATI)
Comment:
Further funding:
* California Tahoe Conservancy Agreement #CTA19022R
* Tahoe Fund Grant #20190828
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Metric, descriptionMetric descrAnderson, Christopher
2UnitUnitAnderson, Christopher
3Date/time startDate/time startAnderson, ChristopherSatellite derived
4Date/time endDate/time endAnderson, ChristopherSatellite derived
5Ground sampling distanceGSDmAnderson, ChristopherSatellite derived
6Bounding boxB boxAnderson, ChristopherSatellite derived
7Raster graphic, GeoTIFF formatGeoTIFFAnderson, ChristopherSatellite derived
8Raster graphic, GeoTIFF format (File Size)GeoTIFF (Size)BytesAnderson, ChristopherSatellite derived
9Raster graphic, GeoTIFF format (Media Type)GeoTIFF (Type)Anderson, ChristopherSatellite derived
10Raster graphic, GeoTIFF format (MD5 Hash)GeoTIFF (Hash)Anderson, ChristopherSatellite derived
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
343 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML