Using Sentinel-2 Imagery to Measure Spatiotemporal Changes and Recovery across Three Adjacent Grasslands with Different Fire Histories

被引:0
|
作者
Taylor, Annalise [1 ]
Dronova, Iryna [1 ,2 ]
Sigona, Alexii [1 ]
Kelly, Maggi [1 ,3 ]
机构
[1] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, Dept Landscape Architecture & Environm Planning, Berkeley, CA 94720 USA
[3] Univ Calif Davis, Informat & GIS Statewide Program, Div Agr & Nat Resources, Davis, CA 95616 USA
关键词
grasslands; intentional burns; normalized burn ratio; Sentinel-2 satellite imagery; wildfire; LAND-SURFACE PHENOLOGY; NDVI;
D O I
10.3390/rs16122232
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As a result of the advocacy of Indigenous communities and increasing evidence of the ecological importance of fire, California has invested in the restoration of intentional burning (the practice of deliberately lighting low-severity fires) in an effort to reduce the occurrence and severity of wildfires. Recognizing the growing need to monitor the impacts of these smaller, low-severity fires, we leveraged Sentinel-2 imagery to reveal important inter- and intra-annual variation in grasslands before and after fires. Specifically, we explored three methodological approaches: (1) the complete time series of the normalized burn ratio (NBR), (2) annual summary metrics (mean, fifth percentile, and amplitude of NBR), and (3) maps depicting spatial patterns in these annual NBR metrics before and after fire. We also used a classification of pre-fire vegetation to stratify these analyses by three dominant vegetation cover types (grasses, shrubs, and trees). We applied these methods to a unique study area in which three adjacent grasslands had diverging fire histories and showed how grassland recovery from a low-severity intentional burn and a high-severity wildfire differed both from each other and from a reference site with no recent fire. On the low-severity intentional burn site, our results showed that the annual NBR metrics recovered to pre-fire values within one year, and that regular intentional burning on the site was promoting greater annual growth of both grass and shrub species, even in the third growing season following a burn. In the case of the high-severity wildfire, our metrics indicated that this grassland had not returned to its pre-fire phenological signals in at least three years after the fire, indicating that it may be undergoing a longer recovery or an ecological shift. These proposed methods address a growing need to study the effects of small, intentional burns in low-biomass ecosystems such as grasslands, which are an essential part of mitigating wildfires.
引用
收藏
页数:21
相关论文
共 42 条
  • [31] Changes in submerged aquatic vegetation cover off the northern Yucatan Peninsula detected with Sentinel-2 imagery using a fuzzy classification system
    Reyes, Yasser Said Lopez de Olmos
    Martinez, Margarita Elizabeth Gallegos
    Ressl, Rainer Andreas
    Cardenas, Gilberto Hernandez
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2023, 32
  • [32] Assessing the Natural Recovery of Mangroves after Human Disturbance Using Neural Network Classification and Sentinel-2 Imagery in Wunbaik Mangrove Forest, Myanmar
    Maung, Win Sithu
    Sasaki, Jun
    REMOTE SENSING, 2021, 13 (01) : 1 - 24
  • [33] Forest Fire Severity and Koala Habitat Recovery Assessment Using Pre- and Post-Burn Multitemporal Sentinel-2 Msi Data
    Johnson, Derek Campbell
    Srivastava, Sanjeev Kumar
    Shapcott, Alison
    FORESTS, 2024, 15 (11):
  • [34] EVALUATION OF SENTINEL-2/MSI IMAGERY PRODUCTS LEVEL-2A OBTAINED BY THREE DIFFERENT ATMOSPHERIC CORRECTIONS FOR MONITORING SUSPENDED SEDIMENTS CONCENTRATION IN MADEIRA RIVER, BRAZIL
    Santos, D. R. A.
    Martinez, J. M.
    Harmel, Tristan
    Borges, H. D.
    Roig, H.
    2020 IEEE LATIN AMERICAN GRSS & ISPRS REMOTE SENSING CONFERENCE (LAGIRS), 2020, : 207 - 212
  • [35] Detection of Heterobasidion Root Rot on Pinus brutia Ten. Using Different Vegetation Indices Generated from Sentinel-2 A Satellite Imagery
    Cinar, Tunahan
    Beram, R. Ceyda
    Aydin, Abdurrahim
    Akyol, Sultan
    Tashigul, Nurzhan
    Lehtijarvi, H. Tugba
    Woodward, Steve
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2024, 52 (08) : 1805 - 1817
  • [36] Using Enhanced Gap-Filling and Whittaker Smoothing to Reconstruct High Spatiotemporal Resolution NDVI Time Series Based on Landsat 8, Sentinel-2, and MODIS Imagery
    Liang, Jieyu
    Ren, Chao
    Li, Yi
    Yue, Weiting
    Wei, Zhenkui
    Song, Xiaohui
    Zhang, Xudong
    Yin, Anchao
    Lin, Xiaoqi
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2023, 12 (06)
  • [37] CREATION OF RWAAR: RAPID WATER ANALYSIS ALGORITHM FOR RESPONSE & RECOVERY, A RAPID METHOD FOR DETECTION AND MAPPING OF FLOODING FROM HURRICANE IAN USING SENTINEL-2 MULTISPECTRAL IMAGERY
    Young, Sherry
    Yang, Chaowei
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 2282 - 2285
  • [38] Assessment of k-Nearest Neighbor and Random Forest Classifiers for Mapping Forest Fire Areas in Central Portugal Using Landsat-8, Sentinel-2, and Terra Imagery
    Pacheco, Admilson da Penha
    Junior, Juarez Antonio da Silva
    Ruiz-Armenteros, Antonio Miguel
    Henriques, Renato Filipe Faria
    REMOTE SENSING, 2021, 13 (07)
  • [39] Mapping Local Climate Zones in Lausanne (Switzerland) with Sentinel-2 and PRISMA imagery: comparison of classification performance using different band combinations and building height data
    Vavassori, Alberto
    Giuliani, Gregory
    Brovelli, Maria Antonia
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 16 (02) : 4790 - 4810
  • [40] Modeling Winter Wheat Leaf Area Index and Canopy Water Content With Three Different Approaches Using Sentinel-2 Multispectral Instrument Data
    Pan, Haizhu
    Chen, Zhongxin
    Ren, Jianqiang
    Li, He
    Wu, Shangrong
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (02) : 482 - 492