Merge pull request #148 from NASA-IMPACT/develop

Deploy new Delta version

.gitignore

@@ -69,4 +69,7 @@ nbproject
 temp
 tmp
 .tmp
-dist
+dist
+
+Makefile
+.hypothesis

LICENSE

@@ -1,29 +1,14 @@
-BSD 3-Clause License
+Copyright 2022 NASA
 
-Copyright (c) 2021, Inter Agency Implementation and Advanced Concepts
-All rights reserved.
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
+  http://www.apache.org/licenses/LICENSE-2.0
 
-1. Redistributions of source code must retain the above copyright notice, this
-   list of conditions and the following disclaimer.
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
 
-2. Redistributions in binary form must reproduce the above copyright notice,
-   this list of conditions and the following disclaimer in the documentation
-   and/or other materials provided with the distribution.
-
-3. Neither the name of the copyright holder nor the names of its
-   contributors may be used to endorse or promote products derived from
-   this software without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
-FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

README.md

@@ -13,3 +13,7 @@ Discoveries are long form pieces of content that tell a story about some interes
 3) Check [CONTENT](./docs/CONTENT.md) for how to structure the content pieces.
 
 If you plan to add features to `delta-config` check [DEVELOPMENT](./docs/DEVELOPMENT.md).
+
+# License
+This project is licensed under **Apache 2**, see the [LICENSE](LICENSE) file for more details.
+

datasets/bangladesh-landcover-2001-2020.data.mdx

@@ -0,0 +1,56 @@
+---
+id: bangladesh-landcover-2001-2020
+name: 'Land Cover - Bangladesh'
+description: 'Annual land cover maps for 2001 and 2020 (Bangladesh)'
+media:
+
+  src: ::file ./bangladesh-landcover-2001-2020--dataset-cover.jpg
+  alt: 'Annual land cover maps for 2001 and 2020 (Bangladesh)'
+  author:
+    name: USGS
+    url: https://unsplash.com/photos/d59NHNtT_Ss
+thematics:
+  - eis
+layers:
+  - id: bangladesh-landcover-2001-2020
+    stacCol: bangladesh-landcover-2001-2020
+    name: 'Land cover maps 2001 and 2020'
+    type: raster
+    description: 'Annual land cover maps for 2001 and 2020 (Bangladesh)'
+    zoomExtent:
+      - 6
+      - 20
+    sourceParams:
+      resampling_method: nearest
+      colormap: '{"0":[0,0,0,128],"100":[0,130,0,255],"200":[17,131,226,255],"300":[199,43,32,255],"400":[98,234,37,255]}'
+      bidx: 1
+      return_mask: true
+    legend:
+      type: categorical
+      stops:
+      - color: "#000000"
+        label: No Data
+      - color: "#008200"
+        label: Native Vegetation
+      - color: "#1183e2"
+        label: Open water
+      - color: "#c72b20"
+        label: Urban areas
+      - color: "#62ea25"
+        label: Cropland
+    compare:
+      datasetId: bangladesh-landcover-2001-2020
+      layerId: bangladesh-landcover-2001-2020
+      mapLabel: |
+        ::js ({ dateFns, datetime, compareDatetime }) => {
+          return `${dateFns.format(datetime, 'LLL yyyy')} VS ${dateFns.format(compareDatetime, 'LLL yyyy')}`;
+        }
+---
+
+<Block>
+  <Prose>
+
+    The annual land cover maps of 2001 and 2021 were captured using combined Moderate Resolution Imaging Spectroradiometer (MODIS) Annual Land Cover Type dataset (MCD12Q1 V6, dataset link: [https://lpdaac.usgs.gov/products/mcd12q1v006/](https://lpdaac.usgs.gov/products/mcd12q1v006/)).  The actual data product provides global land cover types at yearly intervals (2001-2020) at 500 meters with six different types of land cover classification. Among six different schemes, The International Geosphere–Biosphere Programme (IGBP) land cover classification selected and further simplified to dominant land cover classes (water, urban, cropland, native vegetation) for two different years to illustrate the changes in land use and land cover of the country.
+
+  </Prose>
+</Block>

datasets/caldor-fire-characteristics-burn-severity.data.mdx

@@ -0,0 +1,69 @@
+---
+id: caldor-fire-behavior-burn-severity
+name: "Caldor Fire Behavior and Burn Severity"
+description: "Assets describing the progression and active fire behavior of the 2021 Caldor Fire in California."
+media:
+  src: ::file ./caldor-fire--dataset-cover.jpg
+  alt: Hillside engulfed by a wildfire.
+  author:
+    name: Marek Piwnicki
+    url: https://unsplash.com/photos/WiZOyYqzUss
+thematics:
+  - eis
+layers:
+  - id: caldor-fire-behavior
+    stacCol: caldor-fire-behavior
+    name: Fire Behavior
+    type: raster
+    description: ""
+    initialDatetime: newest
+    zoomExtent:
+      - 10
+      - 20
+    sourceParams:
+      colormap_name: inferno_r
+      rescale:
+        - 0
+        - 93
+    legend:
+      type: gradient
+      min: "0"
+      max: "93"
+      stops:
+        - "#FBB41A"
+        - "#BB3754"
+        - "#781D6D"
+        - "#34095F"
+  - id: caldor-fire-burn-severity
+    stacCol: caldor-fire-burn-severity
+    name: Burn Severity
+    type: raster
+    description: "Soil burn severity (SBS) conditions."
+    initialDatetime: newest
+    zoomExtent:
+      - 10
+      - 20
+    sourceParams:
+      colormap_name: inferno_r
+      rescale:
+        - 0
+        - 5
+    legend:
+      type: gradient
+      min: "0"
+      max: "5"
+      stops:
+        - "#FBB41A"
+        - "#BB3754"
+        - "#781D6D"
+        - "#34095F"
+
+---
+
+<Block>
+<Prose>
+  ## About
+
+  This dataset describes the progression and active fire behavior of the 2021 Caldor Fire in California, as recorded by the algorithm detailed in https://www.nature.com/articles/s41597-022-01343-0. It includes an extra layer detailing the soil burn severity (SBS) conditions provided by the [Burned Area Emergency Response](https://burnseverity.cr.usgs.gov/baer/) team.
+</Prose>
+</Block>

datasets/ecco-surface-height-change.data.mdx

@@ -0,0 +1,44 @@
+---
+id: ecco-surface-height-change
+name: "ECCO sea-surface height change from 1992 to 2017"
+description: "Gridded global sea-surface height change from 1992 to 2017 from the Estimating the Circulation and Climate of the Ocean (ECCO) ocean state estimate."
+media:
+  src: ::file ./ecco-surface-height-change--dataset-cover.jpg
+  alt: Wave crashing on a sandy beach
+  author:
+    name: Lance Asper
+    url: https://unsplash.com/photos/3P3NHLZGCp8
+thematics:
+  - eis
+layers:
+  - id: ecco-surface-height-change
+    stacCol: ecco-surface-height-change
+    name: ECCO sea-surface height change (m)
+    type: raster
+    description: "Gridded global sea-surface height change from 1992 to 2017 from the Estimating the Circulation and Climate of the Ocean (ECCO) ocean state estimate."
+    zoomExtent:
+      - 0
+      - 20
+    sourceParams:
+      colormap_name: rdbu
+      rescale:
+        - -0.313
+        - 0.313
+    legend:
+      type: gradient
+      min: "-0.31"
+      max: "0.31"
+      stops:
+        - "#EF8A62"
+        - "#F7F7F7"
+        - "#67A9CF"
+
+---
+
+<Block>
+  <Prose>
+    ## About
+
+    Gridded global sea-surface height change from 1992 to 2017 from the Estimating the Circulation and Climate of the Ocean (ECCO) ocean state estimate. The dataset was calculated as the difference between the annual means over 2017 and 1992, from the 0.5 degree, gridded monthly mean data product available on [PO.DAAC](https://podaac.jpl.nasa.gov/dataset/ECCO_L4_SSH_05DEG_MONTHLY_V4R4).
+  </Prose>
+</Block>

datasets/hls-events.ej.data.mdx

@@ -3,8 +3,12 @@ id: hls_events
 name: 'Harmonized Landsat Sentinel-2 (Selected Events)'
 description: '30-meter resolution harmonized Landsat 8/9 and Sentinel-2A/B data products'
 usage:
-  url: 'https://nasa-impact.github.io/veda-documentation/hls-visualization.html'
-  title: 'Multi-Band Visualization Preview for Harmonized Landsat Sentinel-2 (HLS)'
+  - url: "https://nasa-impact.github.io/veda-documentation/hls-visualization.html"
+    label: Static notebook
+    title: 'Multi-Band Visualization Preview for Harmonized Landsat Sentinel-2 (HLS)'
+  - url: "https://daskhub.veda.smce.nasa.gov/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-documentation&urlpath=lab/tree/veda-documentation/hls-visualization.ipynb&branch=main"
+    label: DaskHub
+    title: 'Multi-Band Visualization Preview for Harmonized Landsat Sentinel-2 (HLS)'
 media:
   src: ::file ./hls-events-ej--dataset-cover.png
   alt: 2017 harmonized Landsat 8 shortwave infrared (SWIR) false color composite image that provides enhanced contrast to detect flood extent.

datasets/mtbs-burn-severity.data.mdx

@@ -0,0 +1,58 @@
+---
+id: mtbs-burn-severity
+name: "MTBS Burn Severity"
+description: "Burn Severities and extents of fires"
+media:
+  src: ::file ./mtbs-burn-severity--dataset-cover.jpg
+  alt: Hillside engulfed by wildfire
+  author:
+    name: Mike Newbry
+    url: https://unsplash.com/photos/DwtX9mMHBJ0
+thematics:
+  - eis
+layers:
+  - id: mtbs-burn-severity
+    stacCol: mtbs-burn-severity
+    name: MTBS Burn Severity
+    type: raster
+    description: "Burn severities and extents of fires from Monitoring Trends in Burn Severity (MTBS) program during the years 2016-2020 over Western US"
+    zoomExtent:
+      - 0
+      - 20
+    sourceParams:
+      colormap_name: inferno_r
+      rescale:
+        - 0
+        - 6
+    legend:
+      type: categorical
+      stops:
+        - color: "#000000"
+          label: "1"
+        - color: "#FBB41A"
+          label: "2"
+        - color: "#ED6825"
+          label: "3"
+        - color: "#BB3754"
+          label: "4"
+        - color: "#781D6D"
+          label: "5"
+        - color: "#34095F"
+          label: "6"
+
+---
+
+<Block>
+  <Prose>
+    ## About
+
+    Burn severities and extents of fires from Monitoring Trends in Burn Severity (MTBS) program during the years 2016-2020 over Western US.
+
+    MTBS is an interagency program whose goal is to consistently map the burn severity and extent of large fires across all lands of the United States from 1984 to present. This includes all fires 1000 acres or greater in the western United States and 500 acres or greater in the eastern Unites States. The extent of coverage includes the continental U.S., Alaska, Hawaii and Puerto Rico. 
+
+    ## Additional Resources
+
+    * [MTBS - Project overview](https://www.mtbs.gov/project-overview)
+    * [Interactive Viewer for Continental US](https://www.mtbs.gov/viewer/?region=conus)
+  </Prose>
+</Block>

datasets/nighttime-lights.data.mdx

@@ -17,7 +17,7 @@ layers:
     type: raster
     description: 'Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc sodales semper risus, suscipit varius diam facilisis non.'
     zoomExtent:
-      - 4
+      - 8
       - 16
     sourceParams:
       bidx: 1

datasets/no2.data.mdx

@@ -5,8 +5,12 @@ featuredOn:
   - covid-19
 description: "Since the outbreak of the novel coronavirus, atmospheric concentrations of nitrogen dioxide have changed by as much as 60% in some regions."
 usage:
-  url: 'https://nasa-impact.github.io/veda-documentation/timeseries-stac-api.html'
-  title: 'Time series using STAC API statistics endpoints'
+  - url: 'https://nasa-impact.github.io/veda-documentation/single-item-viz.html'
+    label: Open notebook
+    title: 'Open and Visualize'
+  - url: "https://daskhub.veda.smce.nasa.gov/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-documentation&urlpath=lab/tree/veda-documentation/single-item-viz.ipynb&branch=main"
+    label: Open with NASA's Science Managed Cloud Environment (SMCE) DaskHub (requires access)
+    title: 'Open and Visualize'
 media:
   src: ::file ./no2--dataset-cover.jpg
   alt: Power plant shooting steam at the sky.

datasets/svi_overall.ej.data.mdx

@@ -2,6 +2,13 @@
 id: svi-overall
 name: 'Overall Social Vulnerability'
 description: "Overall score for the Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI) gridded at a spatial resolution of 1 km"
+usage:
+  - url: 'https://nasa-impact.github.io/veda-documentation/open-and-plot.html'
+    label: Open notebook
+    title: 'Open and Visualize SVI data'
+  - url: "https://daskhub.veda.smce.nasa.gov/hub/user-redirect/git-pull?repo=https://github.com/NASA-IMPACT/veda-documentation&urlpath=lab/tree/veda-documentation/svi-overall.ipynb&branch=main"
+    label: Open with NASA's Science Managed Cloud Environment (SMCE) DaskHub (requires access)
+    title: 'Open and Visualize SVI data'
 media:
   src: ::file ./svi-overall--dataset-cover.png
   alt: 2018 overall Social Vulnerability Index (SVI).

datasets/twsnonstationarity.data.mdx

@@ -0,0 +1,51 @@
+---
+id: lis-tws-nonstationarity-index
+name: 'Global TWS Non-Stationarity Index'
+description: "The global Terrestrial Water Storage (TWS) non-stationarity index integrates the trend, seasonal shifts, and variability change of TWS for the period of 2003 - 2020."
+media:
+  src: ::file ./twsanomaly-globe.png
+  alt: TWS trend of anomalies from LIS outputs.
+  author:
+    name: NASA LIS
+    url:
+thematics:
+  - eis
+layers:
+  - id: lis-tws-nonstationarity-index
+    stacCol: lis-tws-nonstationarity-index
+    name: 'TWS Non-Stationarity Index'
+    type: raster
+    description: 'TWS Non-Stationarity Index'
+    zoomExtent:
+      - 0
+      - 11
+    sourceParams:
+      bidx: 1
+      colormap_name: rdylbu
+      rescale:
+        - -1
+        - 1
+      nodata: -9999
+    legend:
+      type: gradient
+      label: TWS Non-Stationarity Index 
+      min: "-1"
+      max: "1"
+      stops:
+      - "#a50026"
+      - "#f46d43"
+      - "#fee090"
+      - "#e0f3f8"
+      - "#74add1"
+      - "#313695"
+---
+
+<Block>
+  <Prose>
+    ## Overview
+    Terrestrial water storage (TWS) is defined as the summation of all water on the land surface and in the subsurface. It includes surface soil moisture, root zone soil moisture, groundwater, snow, ice, water stored in the vegetation, river and lake water. 
+
+    The global Terrestrial Water Storage (TWS) non-stationarity index integrates the trend, seasonal shifts, and variability change of TWS for the period of 2003 - 2020. TWS is derived by jointly assimilating the MODIS Leaf Area Index, the ESA CCI surface soil moisture, and the GSFC GRACE mascon-based TWS anomalies into the Noah-MP land surface model within the NASA Land Information System (LIS) at 10 km spatial resolution forced by the combination of MERRA2 and IMERG meteorological fields. The smaller the non-stationarity index is, the more the water cycle is under a non-stationary process. Glaciers and Greenland are excluded from the analysis.
+  </Prose>
+</Block>
+