July 2020 CEOS Data Cube Notebooks Release 2.19

ceos-seo · Jul 15, 2020 · 017167d · 017167d
2 parents f8e097c + e500f4d
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diff --git a/ALOS_LandChange.ipynb → ALOS_Land_Change.ipynb b/ALOS_LandChange.ipynb → ALOS_Land_Change.ipynb
diff --git a/ALOS_WASARD_Demo.ipynb b/ALOS_WASARD_Demo.ipynb
diff --git a/Chunking_Demo_Notebook_WOFS.ipynb b/Chunking_Demo_Notebook_WOFS.ipynb
diff --git a/Clustering_Notebook.ipynb b/Clustering_Notebook.ipynb
diff --git a/Coastal_Change_Classifier.ipynb b/Coastal_Change_Classifier.ipynb
diff --git a/Coastline_Classifier.ipynb b/Coastline_Classifier.ipynb
diff --git a/Composites_and_Shapefiles.ipynb b/Composites_and_Shapefiles.ipynb
diff --git a/DCAL/DCAL_Cloud_Statistics.ipynb b/DCAL/DCAL_Cloud_Statistics.ipynb
diff --git a/DCAL/DCAL_Custom_Mosaics.ipynb b/DCAL/DCAL_Custom_Mosaics.ipynb
diff --git a/DCAL/DCAL_Custom_Mosaics_Dask.ipynb b/DCAL/DCAL_Custom_Mosaics_Dask.ipynb
diff --git a/DCAL/DCAL_Land_Change.ipynb b/DCAL/DCAL_Land_Change.ipynb
diff --git a/DCAL/DCAL_Spectral_Products.ipynb b/DCAL/DCAL_Spectral_Products.ipynb
diff --git a/DCAL/DCAL_Vegetation_Phenology.ipynb b/DCAL/DCAL_Vegetation_Phenology.ipynb
diff --git a/DCAL/DCAL_Water_Extents.ipynb b/DCAL/DCAL_Water_Extents.ipynb
diff --git a/DCAL/DCAL_Water_WOFS.ipynb b/DCAL/DCAL_Water_WOFS.ipynb
diff --git a/Demo_Notebook.ipynb b/Demo_Notebook.ipynb
diff --git a/Export.ipynb b/Export.ipynb
diff --git a/Forest_Change_VNSC.ipynb b/Forest_Change_VNSC.ipynb
diff --git a/Forest_Degradation_Vogelmann_et_al.ipynb b/Forest_Degradation_Vogelmann_et_al.ipynb
diff --git a/GeoMedians+and+GeoMedoids+Compositing.ipynb b/GeoMedians+and+GeoMedoids+Compositing.ipynb
diff --git a/Landslide_Identification_SLIP.ipynb b/Landslide_Identification_SLIP.ipynb
diff --git a/NDVI_Anomaly.ipynb b/NDVI_Anomaly.ipynb
diff --git a/NDVI_Phenology.ipynb b/NDVI_Phenology.ipynb
diff --git a/NDVI_STD.ipynb b/NDVI_STD.ipynb
diff --git a/NDVI_Thresholds.ipynb b/NDVI_Thresholds.ipynb
diff --git a/Notebook_Template.ipynb b/Notebook_Template.ipynb
diff --git a/PyCCD.ipynb b/PyCCD.ipynb
diff --git a/README.md b/README.md
@@ -1,24 +1,16 @@
-CEOS Data Cube Notebooks
+CEOS Sandbox Data Cube Notebooks
 =================
 
-The CEOS Data Cube Notebook collection is a basic collection of Data Cube examples that can be used as a base for other applications. 
+The CEOS Sandbox Data Cube Notebooks is a collection of Jupyter Notebooks using the [Open Data Cube](https://www.opendatacube.org/) to analyze satellite data. These are modified versions of the [CEOS Data Cube Notebooks](https://github.com/ceos-seo/data_cube_notebooks) - mainly changed to accomdate differences in data availability.
 
-Installation
+Data
 =================
-```
-git clone https://github.com/ceos-seo/data_cube_notebooks.git -b master
-cd ~/Datacube/data_cube_notebooks
-git submodule init && git submodule update
-```
 
-Requirements
-=================
+Currently, Landsat 7 and 8 data is available for much of Central Africa from 1999 to the beginning of 2020.
 
-* Full Data Cube installation with ingested data
-* jupyter
-* matplotlib
-* scipy
-* sklearn
-* lcmap-pyccd
+The Data Cube product names are **ls7_usgs_sr_scene** (Landsat 7 data) and **ls8_usgs_sr_scene** (Landsat 8 data).
 
-For more detailed instructions, please read the [documentation](https://github.com/ceos-seo/data_cube_ui/blob/master/docs/notebook_install.md).
+| Product           | Lat/Lon Extents                                | Time Range         |
+|-------------------|------------------------------------------------|-------------------|
+| ls7_usgs_sr_scene | lat: [-12.57, 18.32], <br>lon: [-25.66, 44.05] | 07/1999-01/2020 |
+| ls8_usgs_sr_scene | lat: [-12.63, 18.40], <br>lon: [-25.47, 44.00] | 03/2013-01/2020 |
diff --git a/S1_WASARD.ipynb b/S1_WASARD.ipynb
@@ -1,21 +1,8 @@
 {
  "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "%env GDAL_DATA = /usr/share/gdal/2.2/"
-   ]
-  },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "source": [
     "# Water Across Synthetic Aperature Radar (WASARD)\n",
     "WASARD is a general purpose transfer model between optical and SAR imagery for water classification.   \n",
@@ -33,13 +20,6 @@
     "> `Optical Source:` Landsat 8  \n",
     "> `SAR Target`: Sentinel 1a  \n",
     "\n",
-    "\n",
-    "# Training process  \n",
-    "![](./diagrams/WASARD/flow_chart.png)\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
     "# In this notebook\n",
     "* Existing coordinates are loaded for `Sentinel1` and `Landsat8` Imagery\n",
     "* Upon comparison,coordinates are used to inform how data should be loaded.  \n",
@@ -91,8 +71,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "sar_product_name = \"s1g_gamma0_samoa\"\n",
-    "optical_product_name = \"ls8_lasrc_samoa\"\n",
+    "sar_product_name = \"s1g_gamma0\"\n",
+    "optical_product_name = \"ls8_usgs_sr_scene\"\n",
     "\n",
     "# #Sa'anapu\n",
     "# longitude_extent = (-171.904492, -171.790327)\n",
@@ -155,9 +135,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "xr_bokeh.dim_alignement( sentinel_coordinates.isel(latitude = slice(0,100), longitude = slice(0,100)), \" Sentinel 1\",\n",
@@ -234,9 +212,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "landsat_dataset     =    dc.load(product = optical_product_name,\n",
@@ -280,9 +256,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "xr_bokeh.dim_alignement(subset_of_sentinel_coords, \"S1\",\n",
@@ -497,9 +471,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt  \n",
@@ -607,9 +579,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.9"
+   "version": "3.6.8"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/TSM_Demo_Notebook.ipynb b/TSM_Demo_Notebook.ipynb