PANGAEA_989871 California Forest Observatory: Statewide Forest Monitoring Data Anderson, Christopher; Marvin, David California Forest Observatory: Statewide Forest Monitoring Data 2026-02-09 PANGAEA Dataset https://doi.pangaea.de/10.1594/PANGAEA.989871 Investigator Christopher Anderson christopher@planet.com Earth Science Metric, description Unit Date/time start Date/time end Ground sampling distance Bounding box Raster graphic, GeoTIFF format Raster graphic, GeoTIFF format (File Size) Raster graphic, GeoTIFF format (Media Type) Raster graphic, GeoTIFF format (MD5 Hash) geoscientificInformation California California_Forest_Observatory canopy fuels Satellite imagery surface fuels wildfire Satellite derived Complete 37.225 37.225 -118.848 -118.848 unrestricted CC-BY-4.0: Creative Commons Attribution 4.0 International English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

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Bremen Bremen 28359 Germany online 343 data points text/tab-separated-values 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 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

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. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.989871"! ** Further funding: * California Tahoe Conservancy Agreement #CTA19022R * Tahoe Fund Grant #20190828

http://en.wikipedia.org/wiki/ISO_8601 Date/time end http://en.wikipedia.org/wiki/ISO_8601 Date/time start https://doi.org/10.1016/j.biocon.2023.110132 A climate-vulnerable species uses cooler forest microclimates during heat waves https://doi.org/10.1016/j.dib.2023.109807 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 https://doi.org/10.1088/1748-9326/ac8d18 Predicting electricity infrastructure induced wildfire risk in California https://doi.org/10.1093/ornithapp/duac048 Tall, heterogeneous forests improve prey capture, delivery to nestlings, and reproductive success for Spotted Owls in southern California https://doi.org/10.1186/s42408-023-00180-9 Quail on fire: changing fire regimes may benefit mountain quail in fire-adapted forests https://doi.org/10.2737/psw-gtr-277 Blueprint for resilience: the Tahoe-Central Sierra Initiative https://doi.org/10.3389/ffgc.2022.957189 Managing nature-based solutions in fire-prone ecosystems: Competing management objectives in California forests evaluated at a landscape scale https://doi.pangaea.de/10.1594/PANGAEA.897276 Dry-season canopy water content maps for California vegetation from 1990-2017, link to GeoTiffs DIF 9.4 2026-02-09 2026-07-15