{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "kOn6Dorgx2wk" }, "source": [ "--------\n", "\n", "# Search and fuse S1, S2 and weather data with custom raster or vector\n", "\n", "--------\n", "\n", "**Short description**\n", "\n", "This notebook introduces the Fuse functionality in the SpaceSense library.\n", "\n", "In this notebook, you will search for, filter, and fuse Sentinel-1, Sentinel-2 and ERA5 weather data with user-provided raster and vector files.\n", "\n", "--------\n", "\n" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "o4gN2FtIx2wl" }, "source": [ "### 0 - Install Spacesense Client Library and dependencies" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Please follow the [installation process](../gettingstarted/installation.rst) and use the virtual environment in this notebook." ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "keC_14irx2wq" }, "source": [ "### 1 - Import spacesense object(s) and other dependencies" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": {}, "colab_type": "code", "id": "l1WpZ6RSx2wr" }, "outputs": [], "source": [ "from spacesense import Client, Raster, Vector\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import json\n", "import datetime\n", "iso = datetime.date.fromisoformat" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 2 - Configure the API Key by setting the `SS_API_KEY` environment variable" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import os\n", "if \"SS_API_KEY\" not in os.environ:\n", " from getpass import getpass\n", " api_key = getpass('Enter your api key : ')\n", " os.environ[\"SS_API_KEY\"] = api_key" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 3 - Define AOI and output options\n", "\n", "The GeoJSON of this AOI, containing an agricultural field in Sardinia, can be downloaded [here](../resources/aois/sardinia_field.geojson)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Define the AOI\n", "with open(\"../resources/aois/sardinia_field.geojson\", mode=\"r\") as file:\n", " aoi = json.load(file)\n", "\n", "# Get an instance of the SpaceSense Client object\n", "client = Client(id=\"fuse_with_custom_data\")\n", "\n", "# Enable to save data in local files\n", "client.enable_local_output()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 4 - Search S1" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
titledateswath_coverage_percentagerelativeorbitnumberlastrelativeorbitnumberproducttypesensoroperationalmodeacquisitiontypepolarisationmodebeginpositionplatformnamemissiondatatakeidorbitdirectionorbitnumberinstrumentnamelastorbitnumberendpositioningestiondateslicenumberplatformidentifier
0S1B_IW_GRDH_1SDV_20210101T172105_20210101T1721...2021-01-01100.088.088.0GRDIWNOMINALVV VH2021-01-01T17:21:05.249000Sentinel-1194718.0ASCENDING24964.0Synthetic Aperture Radar (C-band)24964.02021-01-01T17:21:30.2480002021-01-01T21:41:44.62600010.02016-025A
\n", "
" ], "text/plain": [ " title date \\\n", "0 S1B_IW_GRDH_1SDV_20210101T172105_20210101T1721... 2021-01-01 \n", "\n", " swath_coverage_percentage relativeorbitnumber lastrelativeorbitnumber \\\n", "0 100.0 88.0 88.0 \n", "\n", " producttype sensoroperationalmode acquisitiontype polarisationmode \\\n", "0 GRD IW NOMINAL VV VH \n", "\n", " beginposition platformname missiondatatakeid orbitdirection \\\n", "0 2021-01-01T17:21:05.249000 Sentinel-1 194718.0 ASCENDING \n", "\n", " orbitnumber instrumentname lastorbitnumber \\\n", "0 24964.0 Synthetic Aperture Radar (C-band) 24964.0 \n", "\n", " endposition ingestiondate slicenumber \\\n", "0 2021-01-01T17:21:30.248000 2021-01-01T21:41:44.626000 10.0 \n", "\n", " platformidentifier \n", "0 2016-025A " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "start_date = \"2021-01-01\"\n", "end_date = \"2021-01-02\"\n", "# Retrieves all S1 images corresponding to the aoi, start date, and end date\n", "res_S1 = client.s1_search(aoi=aoi, start_date=start_date, end_date=end_date)\n", "res_S1.filter_duplicate_dates()\n", "res_S1.dataframe" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 5 - Search S2" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
iddatetilevalid_pixel_percentageplatformrelative_orbit_numberproduct_iddatetimeswath_coverage_percentageno_datacloud_shadowsvegetationnot_vegetatedwatercloud_medium_probabilitycloud_high_probabilitythin_cirrussnow
6S2B_32TMK_20210101_0_L2A2021-01-0132TMK0.00sentinel-2b065S2B_MSIL2A_20210101T102329_N0214_R065_T32TMK_2...2021-01-01T10:29:42Z100.00.00.00.000.00.00.00100.000.00.0
5S2A_32TMK_20210103_0_L2A2021-01-0332TMK0.00sentinel-2a022S2A_MSIL2A_20210103T101411_N0214_R022_T32TMK_2...2021-01-03T10:19:48Z100.00.00.00.000.00.00.00100.000.00.0
4S2A_32TMK_20210106_0_L2A2021-01-0632TMK0.00sentinel-2a065S2A_MSIL2A_20210106T102411_N0214_R065_T32TMK_2...2021-01-06T10:29:44Z100.00.00.00.000.00.00.00100.000.00.0
3S2B_32TMK_20210108_0_L2A2021-01-0832TMK50.73sentinel-2b022S2B_MSIL2A_20210108T101319_N0214_R022_T32TMK_2...2021-01-08T10:19:47Z100.00.00.00.000.00.049.270.000.00.0
2S2B_32TMK_20210111_0_L2A2021-01-1132TMK5.08sentinel-2b065S2B_MSIL2A_20210111T102309_N0214_R065_T32TMK_2...2021-01-11T10:29:43Z100.00.00.00.000.00.016.6977.530.70.0
1S2A_32TMK_20210113_0_L2A2021-01-1332TMK0.00sentinel-2a022S2A_MSIL2A_20210113T101401_N0214_R022_T32TMK_2...2021-01-13T10:19:48Z100.00.00.00.000.00.00.00100.000.00.0
0S2A_32TMK_20210116_0_L2A2021-01-1632TMK100.00sentinel-2a065S2A_MSIL2A_20210116T102351_N0214_R065_T32TMK_2...2021-01-16T10:29:44Z100.00.00.097.560.00.00.000.000.00.0
\n", "
" ], "text/plain": [ " id date tile valid_pixel_percentage \\\n", "6 S2B_32TMK_20210101_0_L2A 2021-01-01 32TMK 0.00 \n", "5 S2A_32TMK_20210103_0_L2A 2021-01-03 32TMK 0.00 \n", "4 S2A_32TMK_20210106_0_L2A 2021-01-06 32TMK 0.00 \n", "3 S2B_32TMK_20210108_0_L2A 2021-01-08 32TMK 50.73 \n", "2 S2B_32TMK_20210111_0_L2A 2021-01-11 32TMK 5.08 \n", "1 S2A_32TMK_20210113_0_L2A 2021-01-13 32TMK 0.00 \n", "0 S2A_32TMK_20210116_0_L2A 2021-01-16 32TMK 100.00 \n", "\n", " platform relative_orbit_number \\\n", "6 sentinel-2b 065 \n", "5 sentinel-2a 022 \n", "4 sentinel-2a 065 \n", "3 sentinel-2b 022 \n", "2 sentinel-2b 065 \n", "1 sentinel-2a 022 \n", "0 sentinel-2a 065 \n", "\n", " product_id datetime \\\n", "6 S2B_MSIL2A_20210101T102329_N0214_R065_T32TMK_2... 2021-01-01T10:29:42Z \n", "5 S2A_MSIL2A_20210103T101411_N0214_R022_T32TMK_2... 2021-01-03T10:19:48Z \n", "4 S2A_MSIL2A_20210106T102411_N0214_R065_T32TMK_2... 2021-01-06T10:29:44Z \n", "3 S2B_MSIL2A_20210108T101319_N0214_R022_T32TMK_2... 2021-01-08T10:19:47Z \n", "2 S2B_MSIL2A_20210111T102309_N0214_R065_T32TMK_2... 2021-01-11T10:29:43Z \n", "1 S2A_MSIL2A_20210113T101401_N0214_R022_T32TMK_2... 2021-01-13T10:19:48Z \n", "0 S2A_MSIL2A_20210116T102351_N0214_R065_T32TMK_2... 2021-01-16T10:29:44Z \n", "\n", " swath_coverage_percentage no_data cloud_shadows vegetation \\\n", "6 100.0 0.0 0.0 0.00 \n", "5 100.0 0.0 0.0 0.00 \n", "4 100.0 0.0 0.0 0.00 \n", "3 100.0 0.0 0.0 0.00 \n", "2 100.0 0.0 0.0 0.00 \n", "1 100.0 0.0 0.0 0.00 \n", "0 100.0 0.0 0.0 97.56 \n", "\n", " not_vegetated water cloud_medium_probability cloud_high_probability \\\n", "6 0.0 0.0 0.00 100.00 \n", "5 0.0 0.0 0.00 100.00 \n", "4 0.0 0.0 0.00 100.00 \n", "3 0.0 0.0 49.27 0.00 \n", "2 0.0 0.0 16.69 77.53 \n", "1 0.0 0.0 0.00 100.00 \n", "0 0.0 0.0 0.00 0.00 \n", "\n", " thin_cirrus snow \n", "6 0.0 0.0 \n", "5 0.0 0.0 \n", "4 0.0 0.0 \n", "3 0.0 0.0 \n", "2 0.7 0.0 \n", "1 0.0 0.0 \n", "0 0.0 0.0 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "start_date = \"2021-01-01\"\n", "end_date = \"2021-01-17\"\n", "# Retrieves all S2 images corresponding to the aoi, start date, and end date\n", "res_S2 = client.s2_search(aoi=aoi, start_date=start_date, end_date=end_date)\n", "res_S2.dataframe" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 6 - Search Weather" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
dateavgtempprec
02021-01-019.38860514.856473
12021-01-029.04799812.129927
22021-01-037.0304813.415852
32021-01-047.3527479.735805
42021-01-057.53179313.345673
52021-01-066.9309020.578632
62021-01-076.7750794.149154
72021-01-089.1841379.411143
82021-01-0912.0557809.186649
92021-01-1011.52041010.954764
102021-01-118.97451210.341069
112021-01-129.0479980.744074
122021-01-1312.3574774.554079
132021-01-1412.4221131.272354
142021-01-1511.4825998.809325
152021-01-169.1948182.330621
162021-01-1711.1722351.816961
\n", "
" ], "text/plain": [ " date avgtemp prec\n", "0 2021-01-01 9.388605 14.856473\n", "1 2021-01-02 9.047998 12.129927\n", "2 2021-01-03 7.030481 3.415852\n", "3 2021-01-04 7.352747 9.735805\n", "4 2021-01-05 7.531793 13.345673\n", "5 2021-01-06 6.930902 0.578632\n", "6 2021-01-07 6.775079 4.149154\n", "7 2021-01-08 9.184137 9.411143\n", "8 2021-01-09 12.055780 9.186649\n", "9 2021-01-10 11.520410 10.954764\n", "10 2021-01-11 8.974512 10.341069\n", "11 2021-01-12 9.047998 0.744074\n", "12 2021-01-13 12.357477 4.554079\n", "13 2021-01-14 12.422113 1.272354\n", "14 2021-01-15 11.482599 8.809325\n", "15 2021-01-16 9.194818 2.330621\n", "16 2021-01-17 11.172235 1.816961" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "start_date = \"2021-01-01\"\n", "end_date = \"2021-01-17\"\n", "# Retrieves temperature extrema corresponding to the aoi, start date, and end date\n", "res_weather = client.weather_search(aoi=aoi, start_date=start_date, end_date=end_date, variables = [\"AVGTEMP\", \"PREC\"])\n", "res_weather.dataframe" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 7 - Filter search results" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Select only the results which you require. Learn more about how to filter and manipulate search results with [this example](./3_filter_s1_s2.ipynb)." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
iddatetilevalid_pixel_percentageplatformrelative_orbit_numberproduct_iddatetimeswath_coverage_percentageno_datacloud_shadowsvegetationnot_vegetatedwatercloud_medium_probabilitycloud_high_probabilitythin_cirrussnow
0S2A_32TMK_20210116_0_L2A2021-01-1632TMK100.0sentinel-2a065S2A_MSIL2A_20210116T102351_N0214_R065_T32TMK_2...2021-01-16T10:29:44Z100.00.00.097.560.00.00.00.00.00.0
\n", "
" ], "text/plain": [ " id date tile valid_pixel_percentage \\\n", "0 S2A_32TMK_20210116_0_L2A 2021-01-16 32TMK 100.0 \n", "\n", " platform relative_orbit_number \\\n", "0 sentinel-2a 065 \n", "\n", " product_id datetime \\\n", "0 S2A_MSIL2A_20210116T102351_N0214_R065_T32TMK_2... 2021-01-16T10:29:44Z \n", "\n", " swath_coverage_percentage no_data cloud_shadows vegetation \\\n", "0 100.0 0.0 0.0 97.56 \n", "\n", " not_vegetated water cloud_medium_probability cloud_high_probability \\\n", "0 0.0 0.0 0.0 0.0 \n", "\n", " thin_cirrus snow \n", "0 0.0 0.0 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "res_S2.dataframe = res_S2.dataframe[res_S2.dataframe[\"valid_pixel_percentage\"] > 80]\n", "res_S2.dataframe" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "res_weather.dataframe = res_weather.dataframe[[date in list(res_S2.dataframe[\"date\"])+list(res_S1.dataframe[\"date\"]) for date in list(res_weather.dataframe[\"date\"])]]" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 8 - Select S2 bands" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "res_S2.output_bands = [\"RED\", \"GREEN\", \"BLUE\", \"NIR\"]" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 9 - Provide custom data\n", "\n", "The custom data used in this notebook can be found [here](https://drive.google.com/drive/folders/1OHg3nN_NoPOwukHTVgXaPbFQZS6fjMGM?usp=sharing). Please note, the reading in the Vector shapefile (\".shp\") needs all the files with \".cpg\", \".dbf\", \".prj\", \".qmd\", and \".shx\" to be present in the same directory." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# Example vector of land use over the AOI\n", "# The \"attributes\" parameter can be used to select individual layers to fuse\n", "land_use = Vector(\"../resources/example_files/Sardinia_land_use.shp\", attributes=[\"IDFEATURE\"])\n", "\n", "# Example raster of NDVI (say for comparison) over the AOI\n", "ndvi = Raster(\"../resources/example_files/ndvi_crop_sardinia.tif\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 10 - Obtain all S1 and S2 images, and Fuse with custom files" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2022-11-28 09:53:21,611 INFO spacesense.core : created everything\n" ] } ], "source": [ "fusion = client.fuse(\n", " catalogs_list=[res_S1,res_S2,res_weather],\n", " to_fuse=[land_use, ndvi],\n", " additional_info={\"Info\": \"You can put any additional information, such as custom non-raster or non-vector data, in this parameter\"}\n", " )" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 11 - See the fused dataset " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "The result of the Fusion is an [Xarray Dataset](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html). This is a 3 dimensional array with a structure and in-memory representation of a NetCDF file. \n", "\n", "[Here](https://docs.xarray.dev/en/stable/tutorials-and-videos.html) is a link to several tutorials from Xarray. And [this link](http://gallery.pangeo.io/repos/pangeo-data/pangeo-tutorial-gallery/xarray.html) gives some introductory tutorials including basic data structure organization, selection, and computation.\n", "\n", "For this example, the Dataset has dimensions of latitude, longitude, and time, with the Data Variables being the data layers of S1, S2, and the custom raster and vector that we fused together. As custom rasters and vectors do not currently support association with a date, they are fused as time-independant variables, thus only having an x (latitude) and y (longitude) dimension. S1 and S2 bands were not changed from their default values, which can be found [here for S1](../apidocs/searchresults.html#models.Sentinel1SearchResult.output_bands), and [here for S2](apidocs/searchresults.html#models.Sentinel2SearchResult.output_bands). " ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
                            "Dimensions:                      (time: 2, y: 43, x: 88)\n",
                            "Coordinates:\n",
                            "  * time                         (time) datetime64[ns] 2021-01-01 2021-01-16\n",
                            "  * y                            (y) float32 39.83 39.83 39.83 ... 39.83 39.83\n",
                            "  * x                            (x) float64 8.623 8.623 8.623 ... 8.63 8.63\n",
                            "Data variables:\n",
                            "    S1_VH                        (time, y, x) float32 0.0 0.0206 ... nan nan\n",
                            "    S1_VV                        (time, y, x) float32 0.0 0.1091 ... nan nan\n",
                            "    S1_DV                        (time, y, x) float32 nan 5.294 ... nan nan\n",
                            "    S1_LIA                       (time, y, x) float32 0.0 38.73 ... nan nan\n",
                            "    S2_RED                       (time, y, x) float32 nan nan nan ... 0.0417 0.0\n",
                            "    S2_GREEN                     (time, y, x) float32 nan nan nan ... 0.0371 0.0\n",
                            "    S2_BLUE                      (time, y, x) float32 nan nan nan ... 0.0255 0.0\n",
                            "    S2_NIR                       (time, y, x) float32 nan nan nan ... 0.2182 0.0\n",
                            "    WEATHER_AVGTEMP              (time) float32 9.389 9.195\n",
                            "    WEATHER_PREC                 (time) float32 14.86 2.331\n",
                            "    Sardinia_land_use_IDFEATURE  (y, x) float32 1.361e+05 ... 1.361e+05\n",
                            "    ndvi_crop_sardinia_BAND1     (y, x) float32 nan nan nan nan ... nan nan nan\n",
                            "Attributes:\n",
                            "    crs:                   +init=epsg:4326\n",
                            "    transform:             [ 8.97434772e-05  0.00000000e+00  8.62246354e+00  ...\n",
                            "    res:                   [8.97434772e-05 9.03483104e-05]\n",
                            "    ulx, uly:              [ 8.62246354 39.83104648]\n",
                            "    weather_data_lineage:  {"Data origin": "ERA5 reanalysis by ECMWF download...\n",
                            "    s1_data_lineage:       {"Data origin": "S3 bucket (ARN=arn:aws:s3:::senti...\n",
                            "    s2_data_lineage:       {"Data origin": "S3 bucket (ARN=arn:aws:s3:::senti...\n",
                            "    additional_info:       {'Info': 'You can put any additional information, ...
" ], "text/plain": [ "\n", "Dimensions: (time: 2, y: 43, x: 88)\n", "Coordinates:\n", " * time (time) datetime64[ns] 2021-01-01 2021-01-16\n", " * y (y) float32 39.83 39.83 39.83 ... 39.83 39.83\n", " * x (x) float64 8.623 8.623 8.623 ... 8.63 8.63\n", "Data variables:\n", " S1_VH (time, y, x) float32 0.0 0.0206 ... nan nan\n", " S1_VV (time, y, x) float32 0.0 0.1091 ... nan nan\n", " S1_DV (time, y, x) float32 nan 5.294 ... nan nan\n", " S1_LIA (time, y, x) float32 0.0 38.73 ... nan nan\n", " S2_RED (time, y, x) float32 nan nan nan ... 0.0417 0.0\n", " S2_GREEN (time, y, x) float32 nan nan nan ... 0.0371 0.0\n", " S2_BLUE (time, y, x) float32 nan nan nan ... 0.0255 0.0\n", " S2_NIR (time, y, x) float32 nan nan nan ... 0.2182 0.0\n", " WEATHER_AVGTEMP (time) float32 9.389 9.195\n", " WEATHER_PREC (time) float32 14.86 2.331\n", " Sardinia_land_use_IDFEATURE (y, x) float32 1.361e+05 ... 1.361e+05\n", " ndvi_crop_sardinia_BAND1 (y, x) float32 nan nan nan nan ... nan nan nan\n", "Attributes:\n", " crs: +init=epsg:4326\n", " transform: [ 8.97434772e-05 0.00000000e+00 8.62246354e+00 ...\n", " res: [8.97434772e-05 9.03483104e-05]\n", " ulx, uly: [ 8.62246354 39.83104648]\n", " weather_data_lineage: {\"Data origin\": \"ERA5 reanalysis by ECMWF download...\n", " s1_data_lineage: {\"Data origin\": \"S3 bucket (ARN=arn:aws:s3:::senti...\n", " s2_data_lineage: {\"Data origin\": \"S3 bucket (ARN=arn:aws:s3:::senti...\n", " additional_info: {'Info': 'You can put any additional information, ..." ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fusion.dataset" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "### 12 - Plot the fused dataset with matplotlib" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ds_p = fusion.dataset.drop([\"WEATHER_AVGTEMP\", \"WEATHER_PREC\"])\n", "\n", "# Configure matplotlib to show the 11 layers of fused dataset in a 6x2 grid\n", "fig, axs = plt.subplots(nrows=5,ncols=2, figsize=(16, 30))\n", "\n", "# Loop over the 11 variables in the fused dataset, select a date, and plot the layer\n", "for idx, data_var in enumerate(ds_p.data_vars):\n", " # Set the variable to plot, and take the first date\n", " var = ds_p.isel(time=0)[data_var]\n", " # If the first date is all nans (no data for that variable), attempt to plot the next date\n", " for i, time in enumerate(ds_p.time.values):\n", " if np.isnan(var.mean().values) == True:\n", " var = ds_p.isel(time=i+1)[data_var]\n", " if \"WEATHER\" not in data_var:\n", " ax = fig.axes[idx]\n", " var.plot(ax=ax,cbar_kwargs={'label':\"\"})\n", " ax.set_title(data_var)\n", " ax.axis('off')\n", " plt.draw()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Select and plot individual layer and time\n", "fusion.dataset.S2_RED.sel(time=\"2021-01-16\").plot()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "rgb = fusion.plot_rgb(all_dates=False)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.7.5 ('venv': venv)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.5" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "e1ad9e0bf6960974dd8425f76aaa88b32de1b03d6f54bb6bf7fb6a0ca773e449" } } }, "nbformat": 4, "nbformat_minor": 2 }