Geospatial web application developed uisng earthengine, geemap, and streamlit.

Overview

geospatial-streamlit

Geospatial web applications developed uisng earthengine, geemap, and streamlit.

App 1 - Land Surface Temperature

A simple, code-free way to visualize Land Surface Temperature for anywhere on the planet using Landsat satellites. The application is built using geemap and hosted on streamlit. The code has been adopted from the 2020 paper by Sofia Ermida and colleagues for estimating LST using Single Mono Window (SMW) algorithm.

Web App: https://share.streamlit.io/geovicco/geospatial-streamlit/main/lst.py

Algorithm Citation: Ermida, S.L., Soares, P., Mantas, V., Göttsche, F.-M., Trigo, I.F., 2020. Google Earth Engine open-source code for Land Surface Temperature estimation from the Landsat series. Remote Sensing, 12 (9), 1471; https://doi.org/10.3390/rs12091471

Processing and interpolating spatial data with a twist of machine learning

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Imperial Valley Geomorphology Map

Roughly maps the extent of basins, basin edges, and mountains in the Imperial Valley by grouping terrain classes from the Iwahashi et al. 2021 California terrian classification model.

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Digital Earth Australia notebooks and tools repository

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

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framework for large-scale SAR satellite data processing

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A trivia questions about Europe

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A part of HyRiver software stack for handling geospatial data manipulations

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A multi-page streamlit app for the geospatial community.

A multi-page streamlit app for the geospatial community.

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Python package for earth-observing satellite data processing

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Spatial Interpolation Toolbox is a Python-based GUI that is able to interpolate spatial data in vector format.

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Histogram matching plugin for rasterio

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Ingest and query genomic intervals from multiple BED files

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A Jupyter - Leaflet.js bridge

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Manage your XYZ Hub or HERE Data Hub spaces from Python.

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WebGL2 powered geospatial visualization layers

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🌐 Local tile server for viewing geospatial raster files with ipyleaflet

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Specification for storing geospatial vector data (point, line, polygon) in Parquet

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Python project to generate Kerala's distrcit level panchayath map.

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3D extension built off of shapely to make working with geospatial/trajectory data easier in python.

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Solving the Traveling Salesman Problem using Self-Organizing Maps

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ProjPicker (projection picker) is a Python module that allows the user to select all coordinate reference systems (CRSs)

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