initial push

stories/hurricane-maria-and-ida.stories.mdx

@@ -1,6 +1,6 @@
 ---
 id: "hurricane-maria-and-ida"
-name: Connecting Disaster Recovery with Environmental Justice
+name: Connecting Disaster Recovery with Communities and the Environment 
 description: "Featuring Hurricane María and Hurricane Ida"
 featured: true
 media:
@@ -10,7 +10,6 @@ pubDate: 2022-09-08
 taxonomy:
   - name: Topics
     values:
-      - Environmental Justice
       - Natural Disasters
       - Tropical
   - name: Source
@@ -45,17 +44,17 @@ taxonomy:
 
 <Block>
   <Prose>
-    ## Connecting Disaster Recovery with Environmental Justice: Hurricane María
+    ## Connecting Disaster Recovery with Communities and the Environment: Hurricane María
 
     Hurricane María made landfall in Puerto Rico as a Category 4 or 5 hurricane on September 20, 2017, leaving a path of destruction in its wake. [Over 1.5 million people on the island lost power, leading to the longest blackout in US history](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0218883). Although efforts to repair the damage on the island were extensive, the [areas with the most severe and prolonged impacts were areas of lower socioeconomic status](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0218883). These communities lacked the resources and the representation to repair damage quickly, leading to long-term lack of access to electricity, water, and other critical supplies.
 
-    NASA hosts a wide variety of continuous Earth observation data useful in environmental justice research. This dashboard features a selection of NASA datasets from across the Agency, including socioeconomic data, Earth observation analysis, and other combined datasets. These tools allow users to visualize and download data to understand the environmental issues brought on by Hurricane María. Merging Earth data and socioeconomic data can help communities like those in Puerto Rico to better prepare for and respond to future natural disasters.
+    NASA hosts a wide variety of continuous Earth observation data useful in researching impacts to the interface between communities and the environment. This dashboard features a selection of NASA datasets from across the Agency, including socioeconomic data, Earth observation analysis, and other combined datasets. These tools allow users to visualize and download data to understand the environmental issues brought on by Hurricane María. Merging Earth data and socioeconomic data can help communities like those in Puerto Rico to better prepare for and respond to future natural disasters.
 
-    ## Connecting Disaster Recovery with Environmental Justice: Hurricane Ida
+    ## Connecting Disaster Recovery with Communities and the Environment: Hurricane Ida
 
     Known as the city that can barely catch its breath between storms, New Orleans experienced another devastating event on August 29, 2021 as Hurricane Ida made landfall as a Category 4 hurricane. The effects of the storm were widespread, causing millions of dollars worth of damage and affecting the lives and homes of millions of people.
 
-    [Disadvantaged communities](https://www.nature.com/articles/d41586-021-02520-8) in Louisiana and across the country already struggle with higher rates of asthma, cancer, and COVID-19 infections. These communities are often hardest-hit by storms like Ida. Research has shown that disadvantaged communities often receive less federal aid than other communities, only prolonging their hardships. NASA is prioritizing open access to environmental justice data such as the datasets in this dashboard in an effort to help communities better prepare for and respond to natural disasters and to help shed light on cases of environmental injustice.
+    [Disadvantaged communities](https://www.nature.com/articles/d41586-021-02520-8) in Louisiana and across the country already struggle with higher rates of asthma, cancer, and COVID-19 infections. These communities are often hardest-hit by storms like Ida. Research has shown that disadvantaged communities often receive less federal aid than other communities, only prolonging their hardships. NASA is prioritizing open access to environmentally focused data such as the datasets in this dashboard in an effort to help communities better prepare for and respond to natural disasters.
 
   </Prose>
 </Block>
@@ -114,7 +113,7 @@ taxonomy:
     ### Flood Detection
 
     **Watching the Waters Recede**
-    Harmonized Landsat Sentinel-2 (HLS) imagery shows the impact of flooding for Hurricanes Maria and Ida. This data supports disaster recovery and associated environmental justice issues as the degree and extent of flooding can be monitored in support of recovery efforts. The imagery displayed is a shortwave infrared (SWIR) false color composite that provides enhanced contrast to detect flood extent. In SWIR false color composite imagery, water is identified by dark blue colors, vegetation is bright green, clouds are white, and ice is blue.
+    Harmonized Landsat Sentinel-2 (HLS) imagery shows the impact of flooding for Hurricanes Maria and Ida. This data supports disaster recovery and associated environmental issues as the degree and extent of flooding can be monitored in support of recovery efforts. The imagery displayed is a shortwave infrared (SWIR) false color composite that provides enhanced contrast to detect flood extent. In SWIR false color composite imagery, water is identified by dark blue colors, vegetation is bright green, clouds are white, and ice is blue.
 
     **Additional Resources**
     [HLSL30 Dataset Landing Page](https://lpdaac.usgs.gov/products/hlsl30v002/)
@@ -497,13 +496,13 @@ taxonomy:
 
     The ability to detect blue tarp counts for the entirety of a zip code from satellite imagery holds the possibility of surfacing areas of relatively severe damage that may be obscured in ground-level observations. In both these zip codes the small absolute number of damaged buildings and significantly lower building footprint densities (i.e., 761.49/sq. km. in 70112 (p=0.0119) and 713.16/ sq. km. in 00901 (p=0.008)), may have caused these communities to be overlooked by on-the-ground coverage of the storm damage. However, as a percentage of total buildings, the damage sustained in both these zip codes was significantly underestimated by on-the-ground reports when compared to the highest ranked zip codes in medium damage estimate groupings (p=0.012 for 70112 and p=0.004 for 00901).
 
-    These findings have potential environmental justice implications as zip code 70112 and 00901 share similar demographic profiles. Both zip codes are minority majority. The median household income for zip code 70112 is $20,457, and for 00901 it is $14,720 (65.7% and 47.3% the national median respectively). Both zip codes contain a higher than average population density:
+    These findings have potential implications as zip code 70112 and 00901 share similar demographic profiles. Both zip codes are minority majority. The median household income for zip code 70112 is $20,457, and for 00901 it is $14,720 (65.7% and 47.3% the national median respectively). Both zip codes contain a higher than average population density:
     * 70112 contains 3,655 residents in a land area of 2.26 square kilometers (an effective density of 4,255/sq. mile).
     * 00901 contains 7,080 residents in a land area of 2.54 square kilometers (7,217/sq. mile).
 
     Both zip codes have indicators that suggest a high degree of multifamily housing. In zip code 70112, 2,563 housing units exist within 1,720 building footprints for an average ratio of 1.49 units per building. There are 4,990 housing units among the 1,810 building footprints in zip code 00901 for an average ratio of 2.76 units per building. In terms of population density, zip code 70112 has a ratio of 2.13 residents per building footprint, and zip code 00901 has 3.91 residents per building footprint. It follows from these residential densities that the number of people directly affected by even an apparently low number of damaged buildings (in terms of raw counts) is not insignificant.
 
-    The environmental justice implications of being able to more quickly identify overlooked storm-damaged communities is considerable. Further research in this area can establish how satellite-based detections can inform and enhance disaster recovery efforts, especially in vulnerable communities.
+    The implications of being able to more quickly identify overlooked storm-damaged communities is considerable. Further research in this area can establish how satellite-based detections can inform and enhance disaster recovery efforts, especially in vulnerable communities.
 
   </Prose>
 </Block>