Satellite and LiDAR imagery for canopy height and NDVI estimation for mangroves in Puerto Rico
Data files
Oct 10, 2024 version files 6.09 GB
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CHM_NE_PRE.tif
99.25 MB
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CHM_SW_POST.tif
141.12 MB
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CHM_SW_PRE.tif
44.50 MB
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CHN_NE_POST.tif
656.30 MB
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m_1706708_ne_19_060_20211209.tif
424.40 MB
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m_1706708_nw_19_060_20211209_(sw_after).tiff
480.98 MB
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m_1706708_sw_19_060_20211209.tif
281.07 MB
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m_1806533_ne_20_060_20220123(ne_after_pt.1).tiff
379.38 MB
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m_1806533_nw_20_060_20220123(ne._after_pt.2).tiff
384.39 MB
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PREVIEW_PHR1A_MS_201801061522101_SEN_4800281101-2.JPG
120.33 KB
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Puerto_Rico_2010_0010.tif
400.16 MB
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Puerto_Rico_2010_0011.tif
400.16 MB
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Puerto_Rico_2010_0034.tif
400.16 MB
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Puerto_Rico_2010_0035.tif
400.16 MB
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Puerto_Rico_2010_1099.tif
400.16 MB
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Puerto_Rico_2010_1100.tif
400.16 MB
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Puerto_Rico_2010_1101.tif
400.16 MB
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Puerto_Rico_2010_1102.tif
400.16 MB
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README.md
2.66 KB
Abstract
Mangroves are critically important ecosystems that are highly vulnerable to hurricanes. This study investigated the effect of Hurricane Maria on mangrove canopy heights at two sites in Puerto Rico and assessed their subsequent recovery using remote sensing techniques. The two sites were La Paguera in the southwest and the Northeast Ecological Corridor in the northeast of Puerto Rico. Remote sensing techniques, including Light Detection and Ranging (LiDAR) and satellite imagery, were utilized to provide precise, large-scale assessments of canopy height changes and vegetation recovery over time. The findings reveal a significant reduction in canopy height immediately following the hurricane, with the Northeast Corridor experiencing more severe damage than La Paguera. Post-hurricane recovery, assessed through Normalized Difference Vegetation Index (NDVI) analysis, shows varying degrees of vegetation health improvement, with some areas exhibiting canopy heights or vegetation health metrics surpassing pre-hurricane conditions. Variation in recovery appeared to be related to pre-storm canopy height and ancillary human disturbances. This study illustrates the power of remote sensing techniques to characterize patterns and mechanisms of damage and recovery that underlie the resilience of mangrove ecosystems to extreme weather events.
This data was downloaded from NOAA Data Access Viewer [https://coast.noaa.gov/dataviewer/#/imagery/search/] for satellite imagery and LiDAR datasets. The LiDAR data was cleaned, classified, and modeled in Blue Marble's Global Mapper [https://www.bluemarblegeo.com/global-mapper/]. It was then exported as a GIFF and projected into ArcPRo [https://www.arcgis.com/index.html]. Satellite Imagery was downloaded from the same database and was projected using Arc Pro.https://doi.org/10.5061/dryad.2ngf1vhzd.
Description of the data and file structure
Satellite Imagery
Satellite Imagery is downloaded as TiFF files and is quite large. Due to its size, the dataset is broken into tiles on the NOAA Digital Access Viewer. You can download the tile description if needed. Only data for the specified areas of Northeast Corridor Reserve and La Parguera Reserve for the mangroves were downloaded. Satellite Imagery is used to estimate the NDVI of the mangrove ecosystem. Data for 2010- 2021 was downloaded to assess NDVI that spanned pre-hurricane Maria, during Hurricane Maria, and post-hurricane Maria to assess damage and recovery. The files are in a .tif format for accessibility to any software
LiDAR Imagery
LiDAR data point clouds are downloaded as.LAS files are pretty significant. Due to the size of the dataset, you will need to ensure that you have quite a bit of space on your computer. This data set was also broken into NOAA Digital Access Viewer tiles. Only data for the specified areas of Northeast Corridor Reserve and La Parguera Reserve for the mangroves were downloaded. LiDAR is used to assess the canopy heights of the mangrove ecosystem. Data for 2010- 2021 was downloaded to estimate the canopy height of mangroves that spanned pre-hurricane Maria, during Hurricane Maria, and post-hurricane Maria to assess canopy height damage and recovery. The files are in a .tif format. for accessibility to any software
Code/Software
Multiple software can be used. QGIS or ArcPro is acceptable and can be used for LiDAR and Satellite Data. Global Mapper isn't required but helps and implies cleaning and classifying LiDAR point clouds. R can also replicate the study if the other software is unavailable.
Access information
Data was derived from the following sources: