#!/usr/bin/env python
# coding: utf-8

# [![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/maxar-open-data/blob/master/examples/maxar_open_data.ipynb)
# [![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/maxar-open-data&urlpath=lab/tree/maxar-open-data/examples/maxar_open_data&branch=master)
# [![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/maxar-open-data/blob/master/examples/maxar_open_data.ipynb)
# [![image](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/opengeos/maxar-open-data/master?urlpath=lab%2Ftree%2Fexamples)
# 
# 
# **Visualizing Maxar Open Data with Leafmap**
# 
# The [Maxar Open Data Program](https://www.maxar.com/open-data) provides pre- and post-event high-resolution satellite imagery in support of emergency planning, risk assessment, monitoring of staging areas and emergency response, damage assessment, and recovery. Check out the links below for more information.
# - [Maxar Open Data Program](https://www.maxar.com/open-data)
# - [Maxar Open Data on AWS](https://registry.opendata.aws/maxar-open-data/)
# - [Maxar Open Data on STAC Index](https://stacindex.org/catalogs/maxar-open-data-catalog-ard-format#/)
# - [Maxar Open Data on STAC Browser](https://radiantearth.github.io/stac-browser/#/external/maxar-opendata.s3.amazonaws.com/events/catalog.json?.language=en)
# 
# The Maxar Open Data STAC catalog URL is: https://maxar-opendata.s3.amazonaws.com/events/catalog.json
# 

# In[ ]:


# !pip install -U leafmap geopandas


# In[ ]:


import pandas as pd
import geopandas as gpd
import leafmap.foliumap as leafmap


# In[ ]:


repo = "https://raw.githubusercontent.com/opengeos/maxar-open-data/master/"


# In[ ]:


datasets = pd.read_csv(f"{repo}datasets.csv")
datasets


# In[ ]:


dataset = "Kahramanmaras-turkey-earthquake-23"


# In[ ]:


df = pd.read_csv(f"{repo}datasets/{dataset}.tsv", sep="\t")
df.head()


# In[ ]:


geojson = f"{repo}datasets/{dataset}.geojson"


# In[ ]:


m = leafmap.Map()
m.add_geojson(geojson, layer_name=dataset)
gdf = gpd.read_file(geojson)
m.zoom_to_gdf(gdf)
m