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Title: Hurricane Maria Puerto Rico Landsat Analysis

Hurricane Maria made landfall as a strong Category 4 storm in southeast Puerto Rico on September 20th, 2018. The powerful storm traversed the island in a northwesterly direction causing widespread destruction. This study focused on a rapid assessment of Hurricane Marias impact to Puerto Ricos forests. Calibrated and corrected Landsat 8 image composites for the entire island were generated using Google Earth Engine for a comparable pre-Maria and post-Maria time period that accounted for phenology. Spectral mixture analysis (SMA) using image-derived end members was carried out on both composites to calculate the change in the non-photosynthetic vegetation (Delta-NPV) spectral response, a metric that quantifies the increased fraction of exposed wood and surface litter associated with tree mortality and crown damage from the storm. Hurricane simulations were also conducted using the Weather Research and Forecasting (WRF) regional climate model to estimate wind speeds associated with forest disturbance. Dramatic changes in forest structure across the entire island were evident from pre- and post-Maria composited Landsat 8 images. A Delta-NPV map for only the forested pixels illustrated significant spatial variability in disturbance, with patterns that associated with factors such as slope, aspect and elevation. An initial order-of-magnitude impact estimate based on previous workmore » indicated that Hurricane Maria may have caused mortality and severe damage to 23-31 million trees. Additional field work and image analyses are required to further detail the impact of Hurricane Maria to Puerto Rico forests. A minor update to this dataset was posted on April 20, 2018. The previous version is being retired. If you need access to the prior version of the data, email ngee-tropics-archive@lbl.gov. « less
Authors:
;  [1] ;  [1] ; ; ; ; ;
  1. LBNL
Publication Date:
Report Number(s):
NGT0084
DOE Contract Number:
DE-AC02-05CH11231
Product Type:
Dataset
Research Org(s):
Next-Generation Ecosystem Experiments Tropics; UC Berkeley, LBNL
Sponsoring Org:
Department of Energy, Office of Science, Office of Biological and Environmental Research
Resource Relation:
Related Information: Feng Y, Negron-Juarez RI, Patricola CM, Collins WD, Uriarte M, Hall JS, Clinton N, Chambers JQ. (2018) Rapid remote sensing assessment of impacts from Hurricane Maria on forests of Puerto Rico. PeerJ Preprints 6:e26597v1 https://doi.org/10.7287/peerj.preprints.26597v1
Subject:
54 ENVIRONMENTAL SCIENCES
Related Identifiers:
OSTI Identifier:
1419953

Feng, Yanlei, Chambers, Jeff, Negron-Juarez, Robinson, Patricola, Chris, Clinton, Nick, Uriarte, Maria, Hall, Jaz, and Collins, William. Hurricane Maria Puerto Rico Landsat Analysis. United States: N. p., Web. doi:10.15486/ngt/1419953.
Feng, Yanlei, Chambers, Jeff, Negron-Juarez, Robinson, Patricola, Chris, Clinton, Nick, Uriarte, Maria, Hall, Jaz, & Collins, William. Hurricane Maria Puerto Rico Landsat Analysis. United States. doi:10.15486/ngt/1419953.
Feng, Yanlei, Chambers, Jeff, Negron-Juarez, Robinson, Patricola, Chris, Clinton, Nick, Uriarte, Maria, Hall, Jaz, and Collins, William. 2018. "Hurricane Maria Puerto Rico Landsat Analysis". United States. doi:10.15486/ngt/1419953. https://www.osti.gov/servlets/purl/1419953.
@misc{osti_1419953,
title = {Hurricane Maria Puerto Rico Landsat Analysis},
author = {Feng, Yanlei and Chambers, Jeff and Negron-Juarez, Robinson and Patricola, Chris and Clinton, Nick and Uriarte, Maria and Hall, Jaz and Collins, William},
abstractNote = {Hurricane Maria made landfall as a strong Category 4 storm in southeast Puerto Rico on September 20th, 2018. The powerful storm traversed the island in a northwesterly direction causing widespread destruction. This study focused on a rapid assessment of Hurricane Marias impact to Puerto Ricos forests. Calibrated and corrected Landsat 8 image composites for the entire island were generated using Google Earth Engine for a comparable pre-Maria and post-Maria time period that accounted for phenology. Spectral mixture analysis (SMA) using image-derived end members was carried out on both composites to calculate the change in the non-photosynthetic vegetation (Delta-NPV) spectral response, a metric that quantifies the increased fraction of exposed wood and surface litter associated with tree mortality and crown damage from the storm. Hurricane simulations were also conducted using the Weather Research and Forecasting (WRF) regional climate model to estimate wind speeds associated with forest disturbance. Dramatic changes in forest structure across the entire island were evident from pre- and post-Maria composited Landsat 8 images. A Delta-NPV map for only the forested pixels illustrated significant spatial variability in disturbance, with patterns that associated with factors such as slope, aspect and elevation. An initial order-of-magnitude impact estimate based on previous work indicated that Hurricane Maria may have caused mortality and severe damage to 23-31 million trees. Additional field work and image analyses are required to further detail the impact of Hurricane Maria to Puerto Rico forests. A minor update to this dataset was posted on April 20, 2018. The previous version is being retired. If you need access to the prior version of the data, email ngee-tropics-archive@lbl.gov.},
doi = {10.15486/ngt/1419953},
year = {2018},
month = {1} }
  1. The Next-Generation Ecosystem Experiments–Tropics, or NGEE-Tropics, is a ten-year, multi-institutional project aiming to fill the critical gaps in knowledge of tropical forest-climate system interactions. The overarching goal of NGEE-Tropics is to develop a predictive understanding of how tropical forest carbon balance and climate system feedbacks will respond to changing environmental drivers over the 21st Century. NGEE-Tropics’ grand deliverable is a representative, process-rich tropical forest ecosystem model, extending from bedrock to the top of the vegetative canopy-atmosphere interface, in which the evolution and feedbacks of tropical ecosystems in a changing climate can be modeled at the scale and resolution of amore » next-generation Earth System Model grid cell (~10 x 10 km2 grid size). « less
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