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| import ee | |
| import streamlit as st | |
| import geemap.foliumap as geemap | |
| st.set_page_config(layout="wide") | |
| st.sidebar.info( | |
| """ | |
| - Web App URL: <https://streamlit.geemap.org> | |
| - GitHub repository: <https://github.com/giswqs/streamlit-geospatial> | |
| """ | |
| ) | |
| st.sidebar.title("Contact") | |
| st.sidebar.info( | |
| """ | |
| Qiusheng Wu: <https://wetlands.io> | |
| [GitHub](https://github.com/giswqs) | [Twitter](https://twitter.com/giswqs) | [YouTube](https://www.youtube.com/c/QiushengWu) | [LinkedIn](https://www.linkedin.com/in/qiushengwu) | |
| """ | |
| ) | |
| def nlcd(): | |
| # st.header("National Land Cover Database (NLCD)") | |
| row1_col1, row1_col2 = st.columns([3, 1]) | |
| width = 950 | |
| height = 600 | |
| Map = geemap.Map(center=[40, -100], zoom=4) | |
| # Select the seven NLCD epoches after 2000. | |
| years = ["2001", "2004", "2006", "2008", "2011", "2013", "2016", "2019"] | |
| # Get an NLCD image by year. | |
| def getNLCD(year): | |
| # Import the NLCD collection. | |
| dataset = ee.ImageCollection("USGS/NLCD_RELEASES/2019_REL/NLCD") | |
| # Filter the collection by year. | |
| nlcd = dataset.filter(ee.Filter.eq("system:index", year)).first() | |
| # Select the land cover band. | |
| landcover = nlcd.select("landcover") | |
| return landcover | |
| with row1_col2: | |
| selected_year = st.multiselect("Select a year", years) | |
| add_legend = st.checkbox("Show legend") | |
| if selected_year: | |
| for year in selected_year: | |
| Map.addLayer(getNLCD(year), {}, "NLCD " + year) | |
| if add_legend: | |
| Map.add_legend( | |
| legend_title="NLCD Land Cover Classification", builtin_legend="NLCD" | |
| ) | |
| with row1_col1: | |
| Map.to_streamlit(width=width, height=height) | |
| else: | |
| with row1_col1: | |
| Map.to_streamlit(width=width, height=height) | |
| def search_data(): | |
| # st.header("Search Earth Engine Data Catalog") | |
| Map = geemap.Map() | |
| if "ee_assets" not in st.session_state: | |
| st.session_state["ee_assets"] = None | |
| if "asset_titles" not in st.session_state: | |
| st.session_state["asset_titles"] = None | |
| col1, col2 = st.columns([2, 1]) | |
| dataset = None | |
| with col2: | |
| keyword = st.text_input( | |
| "Enter a keyword to search (e.g., elevation)", "") | |
| if keyword: | |
| ee_assets = geemap.search_ee_data(keyword) | |
| asset_titles = [x["title"] for x in ee_assets] | |
| asset_types = [x["type"] for x in ee_assets] | |
| translate = { | |
| "image_collection": "ee.ImageCollection('", | |
| "image": "ee.Image('", | |
| "table": "ee.FeatureCollection('", | |
| "table_collection": "ee.FeatureCollection('", | |
| } | |
| dataset = st.selectbox("Select a dataset", asset_titles) | |
| if len(ee_assets) > 0: | |
| st.session_state["ee_assets"] = ee_assets | |
| st.session_state["asset_titles"] = asset_titles | |
| if dataset is not None: | |
| with st.expander("Show dataset details", True): | |
| index = asset_titles.index(dataset) | |
| html = geemap.ee_data_html( | |
| st.session_state["ee_assets"][index]) | |
| html = html.replace("\n", "") | |
| st.markdown(html, True) | |
| ee_id = ee_assets[index]["id"] | |
| uid = ee_assets[index]["uid"] | |
| st.markdown(f"""**Earth Engine Snippet:** `{ee_id}`""") | |
| ee_asset = f"{translate[asset_types[index]]}{ee_id}')" | |
| vis_params = st.text_input( | |
| "Enter visualization parameters as a dictionary", {} | |
| ) | |
| layer_name = st.text_input("Enter a layer name", uid) | |
| button = st.button("Add dataset to map") | |
| if button: | |
| vis = {} | |
| try: | |
| if vis_params.strip() == "": | |
| # st.error("Please enter visualization parameters") | |
| vis_params = "{}" | |
| vis = eval(vis_params) | |
| if not isinstance(vis, dict): | |
| st.error( | |
| "Visualization parameters must be a dictionary") | |
| try: | |
| Map.addLayer(eval(ee_asset), vis, layer_name) | |
| except Exception as e: | |
| st.error(f"Error adding layer: {e}") | |
| except Exception as e: | |
| st.error(f"Invalid visualization parameters: {e}") | |
| with col1: | |
| Map.to_streamlit() | |
| else: | |
| with col1: | |
| Map.to_streamlit() | |
| def app(): | |
| st.title("Earth Engine Data Catalog") | |
| apps = ["Search Earth Engine Data Catalog", | |
| "National Land Cover Database (NLCD)"] | |
| selected_app = st.selectbox("Select an app", apps) | |
| if selected_app == "National Land Cover Database (NLCD)": | |
| nlcd() | |
| elif selected_app == "Search Earth Engine Data Catalog": | |
| search_data() | |
| app() | |