Merged develop

.github/workflows/ci-cd.yml

@@ -1,10 +1,8 @@
-
-name: CI
+name: CI-CD
 
 on: [push]
 
 jobs:
-
   build:
     runs-on: ${{matrix.os}}
     name: ${{matrix.os}}, Node ${{matrix.node}}
@@ -50,5 +48,3 @@ jobs:
           npx playwright install firefox &
           sleep 10
           npx playwright test --project=firefox --reporter=list
-
-

config/default/common/config/metadata/layers/modis/combined/MODIS_Combined_Value_Added_AOD.md

@@ -1,3 +1,5 @@
+NOTICE: There is no imagery for the period between 2022 OCT 11 and 2023 APR 25.
+
 The MODIS (Terra and Aqua) Combined Value-Added Aerosol Optical Depth layer is a value-added layer based on MODIS Level 2 aerosol products. The layer can give a quick, synoptic view of the level of aerosol in the atmosphere. MODIS Aerosol Optical Depth (or Aerosol Optical Thickness) layer indicates the level at which particles in the air (aerosols) prevent light from traveling through the atmosphere. Aerosols absorb and scatter incoming sunlight, which reduces visibility and increases the optical depth. An optical depth of less than 0.1 indicates a clear sky with maximum visibility, and a value of 1 indicates the presence of aerosols so dense that people would have difficulty seeing the Sun. Aerosols have an effect on human health, weather and the climate. Sources of aerosols include pollution from factories, smoke from fires, dust from dust storms, sea salts, and volcanic ash and smog. Aerosols compromise human health when inhaled by people with asthma or other respiratory illnesses. Aerosols also have an affect on the weather and climate by cooling or warming the Earth, helping or preventing clouds from forming.
 
 This level 3 gridded product is designed for quantitative applications including aerosol data assimilation and model validation. This layer is useful for aerosol forecasting communities such as the United States Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC), National Oceanic and Atmospheric Administration (NOAA), European Centre for Medium-Range Weather Forecasts (ECMWF), National Aeronautics and Space Administration (NASA) Global Modeling Assimilation Office (GMAO), University research groups and support for field/aircraft campaigns.

config/default/common/config/metadata/layers/multi-mission/imerg/IMERG_Precipitation_Rate.md

@@ -1,3 +1,3 @@
 The IMERG Precipitation Rate layer displays rain rate and snow rate in millimeters per hour (mm/hr). It is estimated by the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) (IMERG) algorithm. The IMERG algorithm uses passive-microwave data from the GPM constellation of satellites and also infrared data from geosynchronous satellites. IMERG “morphs” observations to earlier or later times using wind obtained from weather-model analyses. The output field has 0.1 x 0.1 degree latitude-longitude resolution (approximately 11 by 11 km at the Equator). The grid covers the globe, although precipitation cannot always be estimated near the Poles. Within hours of observations being collected, the NASA Precipitation Processing System (PPS) provides Early IMERG estimates, while the higher-quality Final IMERG estimates are produced approximately 4 months later, once calibration datasets become available such as monthly rain-gauge analyses. The imagery viewed in Worldview and the Global Imagery Browse Services (GIBS) is a 2 km, custom daily imagery product generated by PPS from 30-minute Early IMERG (GPM_3IMERGHHE) and Final IMERG (GPM_3IMERGHH) data products.
 
-References: GPM_3IMERGHHE [doi:10.5067/GPM/IMERG/3B-HH-E/06](https://doi.org/10.5067/GPM/IMERG/3B-HH-E/06) and GPM_3IMERGHH [doi:10.5067/GPM/IMERG/3B-HH/06](https://doi.org/10.5067/GPM/IMERG/3B-HH/06). Please note that, while the above half hourly data references are used by PPS as a basis to generate the daily IMERG imagery viewed in Worldview/GIBS, there is not a specific data product that directly corresponds to this daily imagery.
+References: GPM_3IMERGHHE [doi:10.5067/GPM/IMERG/3B-HH-E/06](https://doi.org/10.5067/GPM/IMERG/3B-HH-E/06) and GPM_3IMERGHH [doi:10.5067/GPM/IMERG/3B-HH/07](https://doi.org/10.5067/GPM/IMERG/3B-HH/07). Please note that, while the above half hourly data references are used by PPS as a basis to generate the daily IMERG imagery viewed in Worldview/GIBS, there is not a specific data product that directly corresponds to this daily imagery.

package.json

@@ -1,6 +1,6 @@
 {
   "name": "worldview",
-  "version": "4.9.0",
+  "version": "4.10.1",
   "description": "Interactive interface for browsing full-resolution, global satellite imagery",
   "keywords": [
     "NASA",
@@ -75,12 +75,12 @@
     "upload": "node tasks/util/upload.js"
   },
   "devDependencies": {
-    "@babel/core": "^7.22.8",
-    "@babel/eslint-parser": "^7.22.7",
+    "@babel/core": "^7.22.9",
+    "@babel/eslint-parser": "^7.22.9",
     "@babel/plugin-proposal-class-properties": "^7.18.6",
-    "@babel/preset-env": "^7.22.7",
+    "@babel/preset-env": "^7.22.9",
     "@babel/preset-react": "^7.22.5",
-    "@playwright/test": "^1.35.1",
+    "@playwright/test": "^1.36.0",
     "@pmmmwh/react-refresh-webpack-plugin": "^0.5.10",
     "@webpack-cli/serve": "^2.0.5",
     "ajv": "^8.12.0",
@@ -99,13 +99,13 @@
     "eslint-config-standard": "^17.1.0",
     "eslint-import-resolver-webpack": "^0.13.2",
     "eslint-plugin-import": "^2.27.5",
-    "eslint-plugin-jest": "^27.2.2",
+    "eslint-plugin-jest": "^27.2.3",
     "eslint-plugin-jsx-a11y": "^6.7.1",
     "eslint-plugin-n": "^16.0.0",
     "eslint-plugin-no-storage": "^1.0.2",
     "eslint-plugin-node": "^11.1.0",
     "eslint-plugin-promise": "^6.1.1",
-    "eslint-plugin-react": "^7.32.2",
+    "eslint-plugin-react": "^7.33.0",
     "eslint-plugin-standard": "^5.0.0",
     "express": "^4.18.2",
     "fetch-mock": "^9.11.0",
@@ -119,8 +119,8 @@
     "node-fetch": "2.6.9",
     "node-ssh": "^13.1.0",
     "npm-run-all": "^4.1.5",
-    "patch-package": "^7.0.0",
-    "postcss": "^8.4.25",
+    "patch-package": "^7.0.2",
+    "postcss": "^8.4.26",
     "postcss-loader": "^7.3.3",
     "react-refresh": "^0.14.0",
     "react-test-renderer": "^17.0.2",

web/index.html

@@ -16,10 +16,10 @@
     (function (w, d, s, l, i) {
       w[l] = w[l] || []; w[l].push({
         'gtm.start':
-          new Date().getTime(), event: '.js'
+          new Date().getTime(), event: 'gtm.js'
       }); var f = d.getElementsByTagName(s)[0],
         j = d.createElement(s), dl = l != 'dataLayer' ? '&l=' + l : ''; j.async = true; j.src =
-          'https://www.googletagmanager.com/.js?id=' + i + dl; f.parentNode.insertBefore(j, f);
+          'https://www.googletagmanager.com/gtm.js?id=' + i + dl; f.parentNode.insertBefore(j, f);
       })(window,document,'script','dataLayer','GTM-WNP7MLF');
     }
   </script>

web/js/components/date-selector/date-input-column.js

@@ -280,6 +280,7 @@ class DateInputColumn extends Component {
       isStartDate,
       isEndDate,
       isDisabled,
+      isKioskModeActive,
       type,
     } = this.props;
     const {
@@ -308,6 +309,7 @@ class DateInputColumn extends Component {
           direction="up"
           onClick={isDisabled ? () => {} : () => this.changeDate(1)}
           type={type}
+          isKioskModeActive={isKioskModeActive}
         />
         <input
           id={inputId}
@@ -330,6 +332,7 @@ class DateInputColumn extends Component {
           direction="down"
           onClick={isDisabled ? () => {} : () => this.changeDate(-1)}
           type={type}
+          isKioskModeActive={isKioskModeActive}
         />
       </div>
     );