From 4b3838dd27b42118cc1bf9102ca57d5a8d2604ea Mon Sep 17 00:00:00 2001
From: steveoh <sgourley@utah.gov>
Date: Wed, 13 Mar 2024 11:03:36 -0600
Subject: [PATCH] refactor: rename all to Lidar

---
 ...13-09-13-2013-wasatch-front-lidar-collection.md | 14 +++++++-------
 ...r-2013-2014-wasatch-front-acquisition-update.md |  6 +++---
 ...2013-2014-wasatch-front-lidar-now-available.mdx |  2 +-
 ...-09-25-proposed-lidar-project-northern-utah.mdx |  4 ++--
 ...s-signals-and-lidar-derived-elevation-models.md | 10 +++++-----
 ...hy-for-utah-and-colorados-most-scenic-rivers.md |  6 +++---
 .../2016-03-30-3d-elevation-program-proposal.md    |  2 +-
 .../2016-08-29-2016-utah-lidar-acquisition.mdx     |  4 ++--
 ...7-dumbing-down-terrain-with-contour-polygons.md |  2 +-
 .../2018-05-17-2018-utah-lidar-acquisition.mdx     |  6 +++---
 .../2020-05-13-2020-utah-lidar-acquisition.mdx     |  8 ++++----
 .../2022-04-11-utah-lidar-coverage-application.mdx |  8 ++++----
 src/data/staff.ts                                  |  2 +-
 .../sgid/elevation/auto-correlated-dem.astro       |  2 +-
 .../sgid/elevation/usgs-3d-elevation-program.astro |  6 +++---
 .../geoscience/landslide-inventory-polygons.astro  |  2 +-
 src/pages/solutions.astro                          |  2 +-
 src/pages/solutions/for-gis-users.astro            |  2 +-
 18 files changed, 44 insertions(+), 44 deletions(-)

diff --git a/src/content/blog/2013-09-13-2013-wasatch-front-lidar-collection.md b/src/content/blog/2013-09-13-2013-wasatch-front-lidar-collection.md
index fae9ba86d6..276309e1b0 100644
--- a/src/content/blog/2013-09-13-2013-wasatch-front-lidar-collection.md
+++ b/src/content/blog/2013-09-13-2013-wasatch-front-lidar-collection.md
@@ -15,28 +15,28 @@ tags:
   - usgs
   - water
 date: 2013-09-13 10:22:50 -0600
-title: 2013 Wasatch Front LiDAR Collection
+title: 2013 Wasatch Front Lidar Collection
 published: false
 category: SGID Updates
 cover_image: '/src/images/pillar-blog/default-social-card.png'
 cover_image_alt: ugrc social card
 ---
 
-UGRC is in the process of finalizing a contract with [Watershed Sciences Inc. (WSI)](https://quantumspatial.com/ 'WSI') to acquire 1,352 square miles of USGS Quality Level 1 LiDAR elevation data in the Fall of 2013. WSI won a competitive bid process this summer, that attracted 7 vendor submissions, for a project area that includes: the urbanized areas of the Salt Lake and Utah Valleys and areas along the Wasatch Fault from Sanpete County north into Onieda County in southeastern Idaho.
+UGRC is in the process of finalizing a contract with [Watershed Sciences Inc. (WSI)](https://quantumspatial.com/ 'WSI') to acquire 1,352 square miles of USGS Quality Level 1 Lidar elevation data in the Fall of 2013. WSI won a competitive bid process this summer, that attracted 7 vendor submissions, for a project area that includes: the urbanized areas of the Salt Lake and Utah Valleys and areas along the Wasatch Fault from Sanpete County north into Onieda County in southeastern Idaho.
 
-LiDAR stands for Light Detecting and Ranging. LiDAR data is collected using an airplane-mounted laser and a sensor that records the laser pulse reflections from surfaces on/near the ground. The timing of the pulse returns provides a surrogate for measuring distance. When the distance measurements are combined with the precise instantaneous position of the aircraft from its onboard GPS, the elevation and position of surface of the earth, structures, and vegetation can be measured with high precision.
+Lidar stands for Light Detecting and Ranging. Lidar data is collected using an airplane-mounted laser and a sensor that records the laser pulse reflections from surfaces on/near the ground. The timing of the pulse returns provides a surrogate for measuring distance. When the distance measurements are combined with the precise instantaneous position of the aircraft from its onboard GPS, the elevation and position of surface of the earth, structures, and vegetation can be measured with high precision.
 
-Quality Level 1 is currently the 'Cadillac' data specification for LiDAR as it provides the highest level of horizontal and vertical exactness, as well as multiple measures from the same square meter, enabling among other things, structures and ground surfaces to be measured through tree canopies.
+Quality Level 1 is currently the 'Cadillac' data specification for Lidar as it provides the highest level of horizontal and vertical exactness, as well as multiple measures from the same square meter, enabling among other things, structures and ground surfaces to be measured through tree canopies.
 
-The primary intended uses for the new LiDAR data include but are not limited to:
+The primary intended uses for the new Lidar data include but are not limited to:
 
 - Planning, preparing & mitigating flooding hazards through [FEMA's Risk Map](https://www.fema.gov/risk-mapping-assessment-and-planning-risk-map) modernization program
 - Detailed detection of earthquake faults and related hazard modeling and vulnerability studies
 - Delineation of building and structure footprints for general purpose mapping
 
-Many other non-traditional uses of LiDAR data are possible such as detecting landslides and slumping, optimizing irrigation, and [quantifying solar energy systems potential](https://www.slideshare.net/bgranberg/salt-lake-solar-ignite) on rooftops and other surfaces.
+Many other non-traditional uses of Lidar data are possible such as detecting landslides and slumping, optimizing irrigation, and [quantifying solar energy systems potential](https://www.slideshare.net/bgranberg/salt-lake-solar-ignite) on rooftops and other surfaces.
 
-The 2013 LiDAR acquisition is funded through a partnership of the [US Geological Survey](https://earthquake.usgs.gov/), [Utah Geological Survey](https://geology.utah.gov/), [Utah Division of Emergency Management](https://dem.utah.gov/), FEMA, and a consortium of local government led by the [Salt Lake County Surveyor's Office](https://slco.org/surveyor/). Flights are expected to begin mid Fall, weather conditions permitting, and data delivery is anticipated several months after the flights are completed.
+The 2013 Lidar acquisition is funded through a partnership of the [US Geological Survey](https://earthquake.usgs.gov/), [Utah Geological Survey](https://geology.utah.gov/), [Utah Division of Emergency Management](https://dem.utah.gov/), FEMA, and a consortium of local government led by the [Salt Lake County Surveyor's Office](https://slco.org/surveyor/). Flights are expected to begin mid Fall, weather conditions permitting, and data delivery is anticipated several months after the flights are completed.
 
 Project deliverables include:
 
diff --git a/src/content/blog/2014-01-21-lidar-2013-2014-wasatch-front-acquisition-update.md b/src/content/blog/2014-01-21-lidar-2013-2014-wasatch-front-acquisition-update.md
index d73a53a0fe..14c60f9e58 100644
--- a/src/content/blog/2014-01-21-lidar-2013-2014-wasatch-front-acquisition-update.md
+++ b/src/content/blog/2014-01-21-lidar-2013-2014-wasatch-front-acquisition-update.md
@@ -9,12 +9,12 @@ tags:
   - terrain
   - wasatch fault
 date: 2014-01-21 13:29:59 -0700
-title: LiDAR 2013-2014 Wasatch Front Acquisition Update
+title: Lidar 2013-2014 Wasatch Front Acquisition Update
 published: false
 category: SGID Updates
 cover_image: '/src/images/pillar-blog/default-social-card.png'
 cover_image_alt: ugrc social card
 ---
 
-<p><a href="/images/404.png"><img src="/images/404.png" alt="" title="Status Graphic v1" width="231" height="300" class="inline-text-left" /></a>Last fall, UGRC contracted with <a href="http://www.watershedsciences.com/">Watershed Sciences Inc. (WSI)</a> to acquire 1,352 square miles of USGS Quality Level 1 LiDAR elevation data. The project area includes the urbanized area of Salt Lake and Utah Valleys and areas along the Wasatch Fault from Sanpete County north into Onieda County in southeastern Idaho.</p>
-<p>As of January 2014, WSI has collected LiDAR data for 77% (1,039 of the 1,352 square miles) of the project area. While WSI was actively collecting data, the plane was grounded 45% of the time due to adverse conditions including snow, wind, fog, and inversion. The arrival of winter snow stopped the data acquisition for the year, and WSI will return to collect LiDAR data for the remaining 23% of the project area in Spring 2014. Click on the map to view the areas that have been collected and what areas remain to be collected once the snow melts.</p>
+<p><a href="/images/404.png"><img src="/images/404.png" alt="" title="Status Graphic v1" width="231" height="300" class="inline-text-left" /></a>Last fall, UGRC contracted with <a href="http://www.watershedsciences.com/">Watershed Sciences Inc. (WSI)</a> to acquire 1,352 square miles of USGS Quality Level 1 Lidar elevation data. The project area includes the urbanized area of Salt Lake and Utah Valleys and areas along the Wasatch Fault from Sanpete County north into Onieda County in southeastern Idaho.</p>
+<p>As of January 2014, WSI has collected Lidar data for 77% (1,039 of the 1,352 square miles) of the project area. While WSI was actively collecting data, the plane was grounded 45% of the time due to adverse conditions including snow, wind, fog, and inversion. The arrival of winter snow stopped the data acquisition for the year, and WSI will return to collect Lidar data for the remaining 23% of the project area in Spring 2014. Click on the map to view the areas that have been collected and what areas remain to be collected once the snow melts.</p>
diff --git a/src/content/blog/2014-09-17-2013-2014-wasatch-front-lidar-now-available.mdx b/src/content/blog/2014-09-17-2013-2014-wasatch-front-lidar-now-available.mdx
index 566aaf0c40..e2c43c19a7 100644
--- a/src/content/blog/2014-09-17-2013-2014-wasatch-front-lidar-now-available.mdx
+++ b/src/content/blog/2014-09-17-2013-2014-wasatch-front-lidar-now-available.mdx
@@ -24,7 +24,7 @@ tags:
   - usgs
 published: false
 date: 2014-09-17 09:28:37 -0600
-title: 2013-2014 Wasatch Front LiDAR Now Available
+title: 2013-2014 Wasatch Front Lidar Now Available
 category: SGID Updates
 cover_image: '/src/images/pillar-blog/default-social-card.png'
 cover_image_alt: ugrc social card
diff --git a/src/content/blog/2014-09-25-proposed-lidar-project-northern-utah.mdx b/src/content/blog/2014-09-25-proposed-lidar-project-northern-utah.mdx
index ef42fe565b..c0e49ba59b 100644
--- a/src/content/blog/2014-09-25-proposed-lidar-project-northern-utah.mdx
+++ b/src/content/blog/2014-09-25-proposed-lidar-project-northern-utah.mdx
@@ -33,13 +33,13 @@ import Contacts from '@components/page/Contacts.astro';
   that the partnering organizations have begun discussions around required matching funds.
 </p>
 <p>
-  The proposal focuses on obtaining LiDAR data, at USGS quality level 1 specification, (8 returns per square meter and
+  The proposal focuses on obtaining Lidar data, at USGS quality level 1 specification, (8 returns per square meter and
   related elevation and surface model products) for three geographic areas. These include:
 </p>
 <ul>
   <li>
     the shoreline of the Great Salt Lake and including the seismically active Hansel Valley to the north, which will
-    extend to the northwest, the just completed 2013-14 QL1 LiDAR acquisition that covered much of the metro areas of
+    extend to the northwest, the just completed 2013-14 QL1 Lidar acquisition that covered much of the metro areas of
     the Wasatch Front.,{' '}
   </li>
   <li>the valley floor and fault zones in Cache County, and</li>
diff --git a/src/content/blog/2014-11-17-wireless-signals-and-lidar-derived-elevation-models.md b/src/content/blog/2014-11-17-wireless-signals-and-lidar-derived-elevation-models.md
index 18da9a7687..d20ed4b838 100644
--- a/src/content/blog/2014-11-17-wireless-signals-and-lidar-derived-elevation-models.md
+++ b/src/content/blog/2014-11-17-wireless-signals-and-lidar-derived-elevation-models.md
@@ -9,7 +9,7 @@ tags:
   - lidar
   - viewshed
 date: 2014-11-17 12:15:04 -0700
-title: Wireless Signals and LiDAR Derived Elevation Models
+title: Wireless Signals and Lidar Derived Elevation Models
 category: SGID Updates
 cover_image: /src/images/pillar-blog/2014-11-17-wireless-signals-and-lidar-derived-elevation-models/ensign_dtm_only.png
 cover_image_alt: DTM Bare-Earth Digital Terrain Model
@@ -17,13 +17,13 @@ cover_image_alt: DTM Bare-Earth Digital Terrain Model
 
 Specialized software allows the modeling of cellular, radio, or wireless internet signal propagation and coverage. Better, more accurate results for wireless signal propagation depend on the precision with which the earth’s surface is represented within the analysis software. Traditionally, "bare earth" Digital Terrain Models (DTMs), in which above ground features such as buildings and vegetation are not represented, are used for the analysis.
 
-Airborne-collected LiDAR data has more sophisticated capabilities for representing the earth and its features, and is becoming more available. LiDAR sensors mounted on planes uses a scanning laser range finder to collect and model a truer 3D representation. So-called "first return" Digital Surface Models (DSMs) maintain both ground and above ground surface features including buildings and vegetation. For this reason, LiDAR DSMs can be utilized to help the analysis software more accurately model cellular, radio, or wireless coverage and signal propagation.
+Airborne-collected Lidar data has more sophisticated capabilities for representing the earth and its features, and is becoming more available. Lidar sensors mounted on planes uses a scanning laser range finder to collect and model a truer 3D representation. So-called "first return" Digital Surface Models (DSMs) maintain both ground and above ground surface features including buildings and vegetation. For this reason, Lidar DSMs can be utilized to help the analysis software more accurately model cellular, radio, or wireless coverage and signal propagation.
 
-A simple way to compare the different results from the traditional DTM and the LiDAR-sourced DSM is with a GIS "viewshed" tool. A Viewshed tool determines the surface locations visible from an observation point, in our case, a cellular, radio, or wireless internet tower. In the examples below, a communication tower is set at the top of Ensign Peak just a few blocks to the north, above of the Utah State Capitol building.
+A simple way to compare the different results from the traditional DTM and the Lidar-sourced DSM is with a GIS "viewshed" tool. A Viewshed tool determines the surface locations visible from an observation point, in our case, a cellular, radio, or wireless internet tower. In the examples below, a communication tower is set at the top of Ensign Peak just a few blocks to the north, above of the Utah State Capitol building.
 
-In the model result graphics below, the red areas show, _at 3 different scales_, the areas that have clear visibility from the tower site using the DTM and, it's LiDAR counterpart DSM. With all other factors held constant, the significant variation in the results is easy to see.
+In the model result graphics below, the red areas show, _at 3 different scales_, the areas that have clear visibility from the tower site using the DTM and, it's Lidar counterpart DSM. With all other factors held constant, the significant variation in the results is easy to see.
 
-The DTM and DSM elevation models from the 2013-2014 Wasatch Front LiDAR Elevation Data used to generate these models can be downloaded from [here](/products/sgid/elevation/lidar).
+The DTM and DSM elevation models from the 2013-2014 Wasatch Front Lidar Elevation Data used to generate these models can be downloaded from [here](/products/sgid/elevation/lidar).
 
 **Important Note**: In addition to a surface models that represents the physical world, wireless network planning and other radio signal propagation software utilize many parameters to model coverage such as signal frequency, transmitter angle, earth curvature, Fresnel Zone, etc. Simple GIS Viewshed analysis, as shown, does not completely model wireless signals and their varying ability to bend and reflect but it does illustrate the possible impact of using surface model inputs that represent the physical world with differing amounts of precision.
 
diff --git a/src/content/blog/2015-10-28-new-lidar-and-orthophotography-for-utah-and-colorados-most-scenic-rivers.md b/src/content/blog/2015-10-28-new-lidar-and-orthophotography-for-utah-and-colorados-most-scenic-rivers.md
index 25ac1fc3b3..25d45dbeae 100644
--- a/src/content/blog/2015-10-28-new-lidar-and-orthophotography-for-utah-and-colorados-most-scenic-rivers.md
+++ b/src/content/blog/2015-10-28-new-lidar-and-orthophotography-for-utah-and-colorados-most-scenic-rivers.md
@@ -21,11 +21,11 @@ cover_image_alt: ugrc social card
 
 <a href="/images/404.png"><img src="/images/404.png" alt="" title="Riverlidar" class="inline-text-left" loading="lazy" /></a>
 
-If you happen to be enjoying the Colorado, Green or Yampa Rivers late this fall and see a small plane flying back and forth, be sure to wave. You might be captured in Utah’s latest lidar acquisition.
+If you happen to be enjoying the Colorado, Green or Yampa Rivers late this fall and see a small plane flying back and forth, be sure to wave. You might be captured in Utah’s latest Lidar acquisition.
 
-Through a partnership with the National Park Service, the DNR’s Division of Forestry, Fire, and State Lands has contracted with Aerial Surveys International (ASI) to collect, process and deliver lidar and orthophotography data products of the main channel and floodplains of these unique and scenic rivers. The project area comprises 680 linear river miles, covering 152 sq. miles of the Colorado, Green, and Yampa River corridors in southeast and eastern Utah and northwest Colorado. These river corridors flow through portions of Arches and Canyonlands National Parks, Dinosaur National Monument, and Glen Canyon National Recreation Area. Two additional areas are also being acquired; 1) a small area in Arches NP and 2) the San Rafael River area upstream of the confluence with the Green River.
+Through a partnership with the National Park Service, the DNR’s Division of Forestry, Fire, and State Lands has contracted with Aerial Surveys International (ASI) to collect, process and deliver Lidar and orthophotography data products of the main channel and floodplains of these unique and scenic rivers. The project area comprises 680 linear river miles, covering 152 sq. miles of the Colorado, Green, and Yampa River corridors in southeast and eastern Utah and northwest Colorado. These river corridors flow through portions of Arches and Canyonlands National Parks, Dinosaur National Monument, and Glen Canyon National Recreation Area. Two additional areas are also being acquired; 1) a small area in Arches NP and 2) the San Rafael River area upstream of the confluence with the Green River.
 
-U.S. Geological Survey Quality Level 1 lidar data will be collected for the entire project area while 6-inch resolution color orthophotography will be collected for the project area within the boundaries of Canyonlands National Park. To date, ASI has completed the orthophotography collection and the lidar collection is ongoing. Delivery of the final data products is expected in early Spring 2016 after data processing and QA/QC has been completed.
+U.S. Geological Survey Quality Level 1 Lidar data will be collected for the entire project area while 6-inch resolution color orthophotography will be collected for the project area within the boundaries of Canyonlands National Park. To date, ASI has completed the orthophotography collection and the Lidar collection is ongoing. Delivery of the final data products is expected in early Spring 2016 after data processing and QA/QC has been completed.
 
 Opportunities created by this new data include:
 
diff --git a/src/content/blog/2016-03-30-3d-elevation-program-proposal.md b/src/content/blog/2016-03-30-3d-elevation-program-proposal.md
index 44e396ea30..a254084783 100644
--- a/src/content/blog/2016-03-30-3d-elevation-program-proposal.md
+++ b/src/content/blog/2016-03-30-3d-elevation-program-proposal.md
@@ -13,4 +13,4 @@ cover_image_alt: ugrc social card
 
 [![3D Elevation Program](/images/404.png 'click to enlarge')](/images/404.png)
 
-In October 2015, UGRC, in partnership with local, state, and federal partners submitted a proposal to the U.S. Geological Survey's 3D Elevation Program (3DEP) Grant program. The proposed project will acquire QL1 and QL2 specification lidar and elevation data in Northern Utah and other areas of interest. UGRC received notice that the proposal has been recommended for funding and the partnership is preparing for a Fall 2016 acquisition. The proposed areas in the graphic are subject to change.
+In October 2015, UGRC, in partnership with local, state, and federal partners submitted a proposal to the U.S. Geological Survey's 3D Elevation Program (3DEP) Grant program. The proposed project will acquire QL1 and QL2 specification Lidar and elevation data in Northern Utah and other areas of interest. UGRC received notice that the proposal has been recommended for funding and the partnership is preparing for a Fall 2016 acquisition. The proposed areas in the graphic are subject to change.
diff --git a/src/content/blog/2016-08-29-2016-utah-lidar-acquisition.mdx b/src/content/blog/2016-08-29-2016-utah-lidar-acquisition.mdx
index 544a1c3250..73c4fa7f70 100644
--- a/src/content/blog/2016-08-29-2016-utah-lidar-acquisition.mdx
+++ b/src/content/blog/2016-08-29-2016-utah-lidar-acquisition.mdx
@@ -4,7 +4,7 @@ author:
   email: rkelson@utah.gov
 tags: []
 date: 2016-08-29T18:17:41.000Z
-title: 2016 Utah LiDAR Acquisition Updated
+title: 2016 Utah Lidar Acquisition Updated
 published: false
 category: SGID Updates
 cover_image: '/src/images/pillar-blog/default-social-card.png'
@@ -13,7 +13,7 @@ cover_image_alt: ugrc social card
 
 import Contacts from '@components/page/Contacts.astro';
 
-UGRC has awarded [Quantum Spatial Inc. (QSI)](https://quantumspatial.com/) and [Digital Mapping Inc. (DMI)](https://web.archive.org/web/20161001160031/http://admap.com/) to acquire [**3,182 square miles**](https://www.arcgis.com/home/webmap/viewer.html?webmap=817e60a9c3374c95aab76c43876b8673&extent=-117.1875,36.3217,-104.5752,43.2351 'view project areas in ArcGIS Online') of LiDAR Elevation data. The LiDAR will be a combination of USGS Quality Level 1 (QL1), 8 ppsm and Quality Level 2 (QL2), 2 ppsm depending on the area. The acquisitions will be during leaf-off conditions with the exception of Monroe Mountain project that will be collected leaf-on. The Monroe Mountain acquisition has already started. The rest of the areas will be collected starting mid-October with the exception of the non-vegetated areas of the Great Salt Lake that will start in the coming weeks. The acquisitions and project deliverables are scheduled to be completed by May 31, 2017 (extended to Aug. 31, 2017).
+UGRC has awarded [Quantum Spatial Inc. (QSI)](https://quantumspatial.com/) and [Digital Mapping Inc. (DMI)](https://web.archive.org/web/20161001160031/http://admap.com/) to acquire [**3,182 square miles**](https://www.arcgis.com/home/webmap/viewer.html?webmap=817e60a9c3374c95aab76c43876b8673&extent=-117.1875,36.3217,-104.5752,43.2351 'view project areas in ArcGIS Online') of Lidar Elevation data. The Lidar will be a combination of USGS Quality Level 1 (QL1), 8 ppsm and Quality Level 2 (QL2), 2 ppsm depending on the area. The acquisitions will be during leaf-off conditions with the exception of Monroe Mountain project that will be collected leaf-on. The Monroe Mountain acquisition has already started. The rest of the areas will be collected starting mid-October with the exception of the non-vegetated areas of the Great Salt Lake that will start in the coming weeks. The acquisitions and project deliverables are scheduled to be completed by May 31, 2017 (extended to Aug. 31, 2017).
 
 [![Project area map](/images/404.png 'view project area map')](/images/404.png)
 The project areas include:
diff --git a/src/content/blog/2017-11-27-dumbing-down-terrain-with-contour-polygons.md b/src/content/blog/2017-11-27-dumbing-down-terrain-with-contour-polygons.md
index b4feb4f410..5c088bf5f8 100644
--- a/src/content/blog/2017-11-27-dumbing-down-terrain-with-contour-polygons.md
+++ b/src/content/blog/2017-11-27-dumbing-down-terrain-with-contour-polygons.md
@@ -15,7 +15,7 @@ cover_image: /src/images/pillar-blog/2017-11-27-dumbing-down-terrain-with-contou
 cover_image_alt: Contour Polygons
 ---
 
-While technology advances towards products with greater resolution and accuracy, sometimes more data isn’t always better data. Sometimes, being able to see general trends and relative differences paints a more interesting picture than sub foot imagery or lidar. This is the case when terrain is dumbed down and represented with generalized contour polygons.
+While technology advances towards products with greater resolution and accuracy, sometimes more data isn’t always better data. Sometimes, being able to see general trends and relative differences paints a more interesting picture than sub foot imagery oLidar . This is the case when terrain is dumbed down and represented with generalized contour polygons.
 
 ![Contour Polygons](../../images/pillar-blog/2017-11-27-dumbing-down-terrain-with-contour-polygons/contourspolys.png)Generalized contour polygons are relatively easy to create (no GISP required) and allows the user multiple ways to symbolize the data depending on the desired cartographic effect. Probably the most difficult part of creating the contours is deciding how much to generalize the terrain and what contour interval is best suited for the intended scale, unfortunately a bit of trial and error can be involved. An added benefit of creating contour polygons are the derivative data products like Tanaka contours that can be created once the base elevation and polygons are generated.
 
diff --git a/src/content/blog/2018-05-17-2018-utah-lidar-acquisition.mdx b/src/content/blog/2018-05-17-2018-utah-lidar-acquisition.mdx
index 9390cdce08..98f0088f7e 100644
--- a/src/content/blog/2018-05-17-2018-utah-lidar-acquisition.mdx
+++ b/src/content/blog/2018-05-17-2018-utah-lidar-acquisition.mdx
@@ -1,7 +1,7 @@
 ---
 status: publish
 published: false
-title: 2018 Utah LiDAR Acquisition - Completed
+title: 2018 Utah Lidar Acquisition - Completed
 author:
   display_name: Rick Kelson
   email: rkelson@utah.gov
@@ -16,9 +16,9 @@ cover_image_alt: ugrc social card
 
 import Contacts from '@components/page/Contacts.astro';
 
-UGRC has awarded Aero-Graphics, Inc. (AGI) to acquire [**10,450 square miles**](http://utah.maps.arcgis.com/home/webmap/viewer.html?webmap=579b517bd8d040969fc3418328c31f31 'view project areas in ArcGIS Online') of LiDAR Elevation data. The LiDAR will be a combination of USGS Quality Level 1 (_QL1_), 8 points per square meter and Quality Level 2 (_QL2_), 2 points per square meter depending on the area. The acquisitions have begun and will continue throughout the year. The acquisitions will be completed in 2018 and project deliverables are scheduled to be completed by June 30, 2019.
+UGRC has awarded Aero-Graphics, Inc. (AGI) to acquire [**10,450 square miles**](http://utah.maps.arcgis.com/home/webmap/viewer.html?webmap=579b517bd8d040969fc3418328c31f31 'view project areas in ArcGIS Online') of Lidar Elevation data. The Lidar will be a combination of USGS Quality Level 1 (_QL1_), 8 points per square meter and Quality Level 2 (_QL2_), 2 points per square meter depending on the area. The acquisitions have begun and will continue throughout the year. The acquisitions will be completed in 2018 and project deliverables are scheduled to be completed by June 30, 2019.
 
-The Federal Emergency Management Agency and the U.S. Geological Survey (USGS) National Map 3D Elevation Program (3DEP) are also acquiring [**4,690 square miles**](http://utah.maps.arcgis.com/home/webmap/viewer.html?webmap=579b517bd8d040969fc3418328c31f31 'view project areas in ArcGIS Online') of LiDAR Elevation data this year. The LiDAR will be a combination of USGS QL1, 8 points per square meter, and QL2, 2 points per square meter, depending on the area. The acquisitions have begun and will continue throughout the spring. The acquisitions and project deliverables are scheduled to be completed around the end of December 2018.
+The Federal Emergency Management Agency and the U.S. Geological Survey (USGS) National Map 3D Elevation Program (3DEP) are also acquiring [**4,690 square miles**](http://utah.maps.arcgis.com/home/webmap/viewer.html?webmap=579b517bd8d040969fc3418328c31f31 'view project areas in ArcGIS Online') of Lidar Elevation data this year. The Lidar will be a combination of USGS QL1, 8 points per square meter, and QL2, 2 points per square meter, depending on the area. The acquisitions have begun and will continue throughout the spring. The acquisitions and project deliverables are scheduled to be completed around the end of December 2018.
 
 #### UPDATE 9/11/2018
 
diff --git a/src/content/blog/2020-05-13-2020-utah-lidar-acquisition.mdx b/src/content/blog/2020-05-13-2020-utah-lidar-acquisition.mdx
index 62f2e6cd23..e858cfba61 100644
--- a/src/content/blog/2020-05-13-2020-utah-lidar-acquisition.mdx
+++ b/src/content/blog/2020-05-13-2020-utah-lidar-acquisition.mdx
@@ -15,17 +15,17 @@ cover_image_alt: Project area map
 
 import Contacts from '@components/page/Contacts.astro';
 
-UGRC has awarded Aero-Graphics, Inc. and The Sanborn Map Company, Inc. to acquire [**26,036 square miles**](https://arcg.is/08W4bS 'view project areas in ArcGIS Online') of aerial lidar elevation data. The lidar will be a combination of USGS Quality Level 1 (_QL1_), 8 points per square meter and Quality Level 2 (_QL2_), 2 points per square meter depending on the area. The 2019 QL2 project covering portions of Kane County, Utah was acquired last fall, is going through USGS Quality Assurance, and is scheduled to be completed by June 30, 2020. (_Due to Covid-19 related setbacks deliverables should be available by November 2020._) The 2020 acquisitions have begun and will continue throughout the year. These project areas will be completed in 2021 and project deliverables are scheduled to be completed by June 30, 2021.
+UGRC has awarded Aero-Graphics, Inc. and The Sanborn Map Company, Inc. to acquire [**26,036 square miles**](https://arcg.is/08W4bS 'view project areas in ArcGIS Online') of aerial Lidar elevation data. The Lidar will be a combination of USGS Quality Level 1 (_QL1_), 8 points per square meter and Quality Level 2 (_QL2_), 2 points per square meter depending on the area. The 2019 QL2 project covering portions of Kane County, Utah was acquired last fall, is going through USGS Quality Assurance, and is scheduled to be completed by June 30, 2020. (_Due to Covid-19 related setbacks deliverables should be available by November 2020._) The 2020 acquisitions have begun and will continue throughout the year. These project areas will be completed in 2021 and project deliverables are scheduled to be completed by June 30, 2021.
 
-The Federal Emergency Management Agency, the U.S. Forest Service, and the U.S. Geological Survey (USGS) National Map 3D Elevation Program (3DEP) are also acquiring [**13,681 square miles**](https://arcg.is/08W4bS 'view project areas in ArcGIS Online') of aerial lidar in Utah this year. The lidar will mostly be QL2, with a few small areas as QL1. The acquisitions will begin in the fall of 2020 and project deliverables are scheduled to be completed by June 30, 2023.
+The Federal Emergency Management Agency, the U.S. Forest Service, and the U.S. Geological Survey (USGS) National Map 3D Elevation Program (3DEP) are also acquiring [**13,681 square miles**](https://arcg.is/08W4bS 'view project areas in ArcGIS Online') of aerial Lidar in Utah this year. The Lidar will mostly be QL2, with a few small areas as QL1. The acquisitions will begin in the fall of 2020 and project deliverables are scheduled to be completed by June 30, 2023.
 
 You are welcome to download the boundaries for all the project areas as a [shapefile](https://drive.google.com/a/utah.gov/uc?id=1-oxmHxLEDPAhM2SKKKh_Df8Pa0iUWKvD&export=download).
 
-[![Project area map](../../images/pillar-blog/2020-05-13-2020-utah-lidar-acquisition/2020utahlidaracquisition_9_16_20_sm.png 'view project area map')](../../images/pillar-blog/2020-05-13-2020-utah-lidar-acquisition/2020utahlidaracquisition_9_16_20.png)
+![Project area map](../../images/pillar-blog/2020-05-13-2020-utah-lidar-acquisition/2020utahlidaracquisition_9_16_20.png 'view project area map')
 
 #### UPDATE 10/17/2023
 
-All 2019 and 2020 project areas are completed and available for download from [Raster.utah.gov](https://raster.utah.gov), from the [LiDAR section](/products/sgid/elevation) of our Elevation and Terrain Data webpage, or from the individual web pages for each project listed below:
+All 2019 and 2020 project areas are completed and available for download from [Raster.utah.gov](https://raster.utah.gov), from the [Lidar section](/products/sgid/elevation/lidar) of our Elevation and Terrain Data webpage, or from the individual web pages for each project listed below:
 
 - [2020 Central & Southern Utah](/products/sgid/elevation/lidar)
 - [2020 Northern & Central Utah](/products/sgid/elevation/lidar)
diff --git a/src/content/blog/2022-04-11-utah-lidar-coverage-application.mdx b/src/content/blog/2022-04-11-utah-lidar-coverage-application.mdx
index abb69fd904..5d728ad2ef 100644
--- a/src/content/blog/2022-04-11-utah-lidar-coverage-application.mdx
+++ b/src/content/blog/2022-04-11-utah-lidar-coverage-application.mdx
@@ -1,5 +1,5 @@
 ---
-title: 'Introduction: Utah LiDAR Coverage Application'
+title: 'Introduction: Utah Lidar Coverage Application'
 published: false
 author:
   display_name: Rick Kelson
@@ -16,12 +16,12 @@ cover_image_alt: ugrc social card
 
 import Contacts from '@components/page/Contacts.astro';
 
-Since 2006 UGRC has partnered with various agencies to acquire public domain high resolution [LiDAR](https://oceanservice.noaa.gov/facts/lidar.html) (Light Detection and Ranging) elevation data for areas in Utah. In 2013 UGRC adopted the U.S. Geological Survey’s [Lidar Base Specifications](https://www.usgs.gov/ngp-standards-and-specifications/lidar-base-specification-online) (LBS) for lidar acquisitions and project deliverables. Adhering to the LBS allowed for the project deliverables in Utah to be incorporated into [The National Map](https://www.usgs.gov/programs/national-geospatial-program/national-map). In more recent years, UGRC added the [USGS 3D Elevation Program](https://www.usgs.gov/3d-elevation-program) (3DEP) to the list of partnering agencies. This allowed UGRC and local partners to leverage their dollars by submitting grant proposals and applying for additional 3DEP funding to vastly increase the number of square miles that could be purchased and acquired for each project cycle.
+Since 2006 UGRC has partnered with various agencies to acquire public domain high resolution [Lidar](https://oceanservice.noaa.gov/facts/lidar.html) (Light Detection and Ranging) elevation data for areas in Utah. In 2013 UGRC adopted the U.S. Geological Survey’s [Lidar Base Specifications](https://www.usgs.gov/ngp-standards-and-specifications/lidar-base-specification-online) (LBS) for Lidar acquisitions and project deliverables. Adhering to the LBS allowed for the project deliverables in Utah to be incorporated into [The National Map](https://www.usgs.gov/programs/national-geospatial-program/national-map). In more recent years, UGRC added the [USGS 3D Elevation Program](https://www.usgs.gov/3d-elevation-program) (3DEP) to the list of partnering agencies. This allowed UGRC and local partners to leverage their dollars by submitting grant proposals and applying for additional 3DEP funding to vastly increase the number of square miles that could be purchased and acquired for each project cycle.
 
-To accompany our [web pages of lidar projects](/products/sgid/elevation) and downloads from the [UGRC Raster Data Discovery](https://raster.utah.gov/) application, the [Utah LiDAR Coverage](https://arcg.is/18SWjy) application has been created. It depicts the lidar projects that have been proposed, are in progress, or have been completed in Utah. This will allow users to see the distribution of lidar projects over the years and their [USGS Quality Level](https://www.usgs.gov/3d-elevation-program/topographic-data-quality-levels-qls) in addition to other information and resources related to the projects.
+To accompany our [web pages of Lidar projects](/products/sgid/elevation) and downloads from the [UGRC Raster Data Discovery](https://raster.utah.gov/) application, the [Utah Lidar Coverage](https://arcg.is/18SWjy) application has been created. It depicts the Lidar projects that have been proposed, are in progress, or have been completed in Utah. This will allow users to see the distribution of Lidar projects over the years and their [USGS Quality Level](https://www.usgs.gov/3d-elevation-program/topographic-data-quality-levels-qls) in addition to other information and resources related to the projects.
 
 _**Please note:** The proposed project footprints can change frequently and will be updated as we receive more information._
 
-[![LiDAR Coverage Application](/images/404.png 'LiDAR Coverage Application')](https://arcg.is/18SWjy)
+[![Lidar Coverage Application](/images/404.png 'Lidar Coverage Application')](https://arcg.is/18SWjy)
 
 Have questions? Reach out to <Contacts inline subject={frontmatter.title} contactKey='elevation' />.
diff --git a/src/data/staff.ts b/src/data/staff.ts
index 562a837841..0074e050ce 100644
--- a/src/data/staff.ts
+++ b/src/data/staff.ts
@@ -85,7 +85,7 @@ export const staff = [
     phone: '385-313-0798',
     email: 'rkelson@utah.gov',
     x: '@RickUGRC',
-    tags: ['Discover', 'LiDAR', 'Imagery', 'parcels', 'data management'],
+    tags: ['Discover', 'Lidar', 'Imagery', 'parcels', 'data management'],
   },
   {
     name: 'Denise Peterson',
diff --git a/src/pages/products/sgid/elevation/auto-correlated-dem.astro b/src/pages/products/sgid/elevation/auto-correlated-dem.astro
index ad8718cbb5..dcfa837ea0 100644
--- a/src/pages/products/sgid/elevation/auto-correlated-dem.astro
+++ b/src/pages/products/sgid/elevation/auto-correlated-dem.astro
@@ -54,7 +54,7 @@ const page: IPageMetadata = {
         <Alert title="Warning">
           <p>
             The auto-correlation process is not as rigorous as other methods of elevation modeling such as
-            photogrammetry, lidar mapping, radar mapping, etc, and therefore end-users should be aware that anomalies
+            photogrammetry, Lidar mapping, radar mapping, etc, and therefore end-users should be aware that anomalies
             are expected within the elevation dataset.
           </p>
         </Alert>
diff --git a/src/pages/products/sgid/elevation/usgs-3d-elevation-program.astro b/src/pages/products/sgid/elevation/usgs-3d-elevation-program.astro
index 64e406d2be..98403be889 100644
--- a/src/pages/products/sgid/elevation/usgs-3d-elevation-program.astro
+++ b/src/pages/products/sgid/elevation/usgs-3d-elevation-program.astro
@@ -45,7 +45,7 @@ const page: IPageMetadata = {
       <ExternalLink href="https://www.usgs.gov/programs/national-geospatial-program/national-map"
         >The National Map</ExternalLink
       > are the primary elevation datasets available from the USGS. These elevation products are continually updated by the
-      USGS with LiDAR collected through the 3DEP program as part of the <ExternalLink
+      USGS with Lidar collected through the 3DEP program as part of the <ExternalLink
         href="https://nationalmap.gov/3DEP/neea.html">National Enhanced Elevation Assessment</ExternalLink
       >. Additional 3DEP resources can be found on the
       <ExternalLink
@@ -78,7 +78,7 @@ const page: IPageMetadata = {
 
   <Fragment slot="description">
     <p>
-      Want to determine where lidar information was used to update 5, 10, and 30 meter USGS DEM products? There are
+      Want to determine where Lidar information was used to update 5, 10, and 30 meter USGS DEM products? There are
       spatial metadata files for each elevation product that have polygons depicting what the source data is for the DEM
       in that area. They can be found on the <ExternalLink
         href="https://www.usgs.gov/core-science-systems/ngp/ss/3dep-product-metadata"
@@ -89,7 +89,7 @@ const page: IPageMetadata = {
         >3DEP Spatial Metadata Glossary</ExternalLink
       >. PMETHOD (Production Method) is the attribute you are looking for and any polygon with a PMETHOD value of <code
         >7</code
-      > has lidar as it’s source. If you need further assistance please contact the National Map Help Desk from USGS at tnm_help@usgs.gov
+      > has Lidar as it’s source. If you need further assistance please contact the National Map Help Desk from USGS at tnm_help@usgs.gov
     </p>
   </Fragment>
 
diff --git a/src/pages/products/sgid/geoscience/landslide-inventory-polygons.astro b/src/pages/products/sgid/geoscience/landslide-inventory-polygons.astro
index 65ad667c7f..46461b0395 100644
--- a/src/pages/products/sgid/geoscience/landslide-inventory-polygons.astro
+++ b/src/pages/products/sgid/geoscience/landslide-inventory-polygons.astro
@@ -45,7 +45,7 @@ const page: IPageMetadata = {
   <Fragment slot="summary">
     <p>
       Landslide Inventory Polygons depict landslide activity and debris flows at scales of 1:24,000 or better and were
-      captured using LiDAR, stereo aerial photography, other data, and field reconnaissance by the UGS. Landslide
+      captured using Lidar, stereo aerial photography, other data, and field reconnaissance by the UGS. Landslide
       Inventory Polygons represents the most recent landslide mapping efforts of the UGS, and when possible should be
       used first.
     </p>
diff --git a/src/pages/solutions.astro b/src/pages/solutions.astro
index 7f789cea96..7450059894 100644
--- a/src/pages/solutions.astro
+++ b/src/pages/solutions.astro
@@ -63,7 +63,7 @@ const page: IStandardPageMetadata = {
     />
     <p>
       UGRC offers a wide range of solutions for GIS users. We are known for authoritative geospatial data (SGID) however
-      our offerings include base maps, imagery, address locator, a web API, GPS location services, LiDAR, and more. Best
+      our offerings include base maps, imagery, address locator, a web API, GPS location services, Lidar, and more. Best
       of all, they are all free to use (with the exception of the GPS service)!
     </p>
     <p>
diff --git a/src/pages/solutions/for-gis-users.astro b/src/pages/solutions/for-gis-users.astro
index f1cec04dd4..dea78ac794 100644
--- a/src/pages/solutions/for-gis-users.astro
+++ b/src/pages/solutions/for-gis-users.astro
@@ -45,7 +45,7 @@ const page: IStandardPageMetadata = {
     />
     <p>
       UGRC offers a wide range of solutions for GIS users. We are known for authoritative geospatial data (SGID) however
-      our offerings include base maps, imagery, address locator, a web API, GPS location services, LiDAR, and more. Best
+      our offerings include base maps, imagery, address locator, a web API, GPS location services, Lidar, and more. Best
       of all, they are all free to use (with the exception of the GPS service)!
     </p>
     <p>