Ag-Analytics® - Harmonized Landsat-Sentinel Service


The Ag-Analytics® Harmonized Landsat-Sentinel Service (HLS) API provides the service in which a user can provide an area-of-interest (AOI) with additional customized options to retrieve the dynamics of their land at various times from the Landsat-8 and Sentinel-2 satellites. This service provides information on cloud cover, statistics, and Normalized Difference Vegetation Index in addition to MSI bands information.

The Harmonized Landsat-Sentinel (HLS) Project is a NASA initiative to produce a Virtual Constellation (VC) of surface reflectance (SR) data from the Operational Land Imager (OLI) and MultiSpectral Instrument (MSI) onboard the Landsat-8 and Sentinel-2 remote sensing satellites, respectively. The data from these satellites creates unprecedented opportunities for timely and accurate observation of Earth status and dynamics at moderate (<30 m) spatial resolution every 2-3 days.


Experience the usage of this service on Ag-Analytics website using below link
https://ag-analytics.portal.azure-api.net/docs/services/harmonized-landsat-sentinel-service/operations/hls-service

In [1]:
import requests
import json
import time
from pandas.io.json import json_normalize
from collections import defaultdict
import pandas as pd
import zipfile, io
from IPython.display import Image

%matplotlib inline
%autosave 0

Autosave disabled
Request parameters details

Request URL: https://ag-analytics.azure-api.net/hls-service/

1) aoi (geometry, file/text, required): The structure of the geometry can be one of the following.
i. JSON geometry objects returned by the arcgis rest api, (file/text) ii. GEOJSON (file/text) iii. Shapefile (file) iv. Raster of tiff extension (file)

2) Band (Spectral band name, list, required): Provide the list of HLS Spectral band names to retrieve for given aoi

4) resolution (cellsize in meters, float, optional):
Default (0.0001)

5) Startdate (Date, mm/dd/yyyy, optional): Enter the starting date to capture the details from Landsat/Sentinel-2
• Year in Startdate for Landsat should start from 2013
• Year in Startdate for Sentinel should start from 2015
• Note Startdate and Enddate both should be given, In the absence of other the service retrieves the latest information available on the land.

6) Enddate (Date, mm/dd/yyyy, optional): Enter the end date to capture the details from Landsat/Sentinel-2
• Year in Enddate for Landsat can be till current year
• Year in Enddate for Sentinel can be till current year
• Note Startdate and Enddate both should be given, In the absence of other the service retrieves the latest information available on the land

7) byweek (int,boolean,optional):This parameter will mosaic the rasters in a week Default 1

In order to get Ocp-Apim-Subscription-Key, please click on this link https://ag-analytics.org/developer/Session/SignInFromPayment

Request Parameters

In [2]:
values={"aoi": '{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[-93.511545,42.071053],[-93.511565,42.074566],[-93.50667,42.074588],[-93.501908,42.074559],[-93.501936,42.071045],[-93.511545,42.071053]]]},"properties":{"OBJECTID":3350330,"CALCACRES":77.09999847,"CALCACRES2":null},"id":3350330}',
"Band": "['NDVI']",
"Enddate": "3/8/2019",
"Startdate": "3/2/2019",
"legendtype": "Relative",
"satellite": "Landsat,Sentinel",
"resolution":"0.00001",
"byweek":"1"}


    
headers={'Content-Type':'application/x-www-form-urlencoded','Ocp-Apim-Subscription-Key': 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'}

API Function

In [3]:
def harmonisedlandsatdata(values,headers):
    try:
        url = "https://ag-analytics.azure-api.net/hls-service/"
        
     
        response = requests.post(url, data=values,headers=headers).json()
        
        print(response)

        return response
    
    except Exception as e:
        print(e)
        raise e

Calling API Function and Displaying Response

In [4]:
hlsresponse=harmonisedlandsatdata(values,headers)

[{'Values': '', 'Xcoordinates': '', 'Ycoordinates': '', 'band': 'NDVI', 'download_url': 'downloads/raster_bandNDVI_date2019196-2019202_20190807_224634_3097.tif', 'error': '', 'features': [{'attributes': {'CellSize': [1e-05, -1e-05], 'CoordinateSystem': 'GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]', 'Extent': '-93.51123513090414, 42.07088071607389, -93.50159513090414, 42.074410716073885', 'Legend': [{'Area': '0.91 %', 'Count': 2577, 'CountAllPixels': 282639, 'Max': 0.2587678168353666, 'Mean': 0.23697687801293443, 'Min': 0.21518593919050227, 'color': '#ff0000'}, {'Area': '1.86 %', 'Count': 5255, 'CountAllPixels': 282639, 'Max': 0.30234969448023097, 'Mean': 0.28055875565779875, 'Min': 0.2587678168353666, 'color': '#ff6666'}, {'Area': '8.33 %', 'Count': 23546, 'CountAllPixels': 282639, 'Max': 0.3459315721250953, 'Mean': 0.32414063330266313, 'Min': 0.30234969448023097, 'color': '#ffff66'}, {'Area': '22.14 %', 'Count': 62577, 'CountAllPixels': 282639, 'Max': 0.3895134497699596, 'Mean': 0.36772251094752745, 'Min': 0.3459315721250953, 'color': '#ffff00'}, {'Area': '48.11 %', 'Count': 135985, 'CountAllPixels': 282639, 'Max': 0.433095327414824, 'Mean': 0.4113043885923918, 'Min': 0.3895134497699596, 'color': '#66ff66'}, {'Area': '18.65 %', 'Count': 52699, 'CountAllPixels': 282639, 'Max': 0.4766772050596883, 'Mean': 0.45488626623725614, 'Min': 0.433095327414824, 'color': '#00ff00'}], 'Matrix': [353, 964], 'Max': 0.4766772050596883, 'Mean': 0.3986039581129466, 'Min': 0.21518593919050227, 'OID': 0, 'Percentile5': 0.32184541615432094, 'Percentile95': 0.4572474782076378, 'Std': 0.04128964324107945, 'Variety': 'NoVariety', 'pngb64': 'data:image/png;base64, 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'}}], 'tiledate': '07/15/2019-07/21/2019'}]

Displaying Output Image

In [5]:
for resp in hlsresponse:
    if resp["band"]=="NDVI" and resp["download_url"]!="":
        
        print("Legend Values : ",resp["features"][0]['attributes']['Legend'])
        
        img_uri=resp["features"][0]['attributes']["pngb64"]
        
        Image(url=img_uri)

        
        

Image(url=img_uri)        
        

Legend Values :  [{'Area': '0.91 %', 'Count': 2577, 'CountAllPixels': 282639, 'Max': 0.2587678168353666, 'Mean': 0.23697687801293443, 'Min': 0.21518593919050227, 'color': '#ff0000'}, {'Area': '1.86 %', 'Count': 5255, 'CountAllPixels': 282639, 'Max': 0.30234969448023097, 'Mean': 0.28055875565779875, 'Min': 0.2587678168353666, 'color': '#ff6666'}, {'Area': '8.33 %', 'Count': 23546, 'CountAllPixels': 282639, 'Max': 0.3459315721250953, 'Mean': 0.32414063330266313, 'Min': 0.30234969448023097, 'color': '#ffff66'}, {'Area': '22.14 %', 'Count': 62577, 'CountAllPixels': 282639, 'Max': 0.3895134497699596, 'Mean': 0.36772251094752745, 'Min': 0.3459315721250953, 'color': '#ffff00'}, {'Area': '48.11 %', 'Count': 135985, 'CountAllPixels': 282639, 'Max': 0.433095327414824, 'Mean': 0.4113043885923918, 'Min': 0.3895134497699596, 'color': '#66ff66'}, {'Area': '18.65 %', 'Count': 52699, 'CountAllPixels': 282639, 'Max': 0.4766772050596883, 'Mean': 0.45488626623725614, 'Min': 0.433095327414824, 'color': '#00ff00'}]
Out[5]: