Walkthrough with the API and simple Streamlit Application. — As a geospatial data scientist, you need to know how to work with APIs and retrieve data from a remote server, especially when the data changes. …

Google Releases global 10m Resolution Land Cover Data — Land cover data helps governments, researchers, and geospatial practitioners better understand the earth and its transformations. In the past, we were happy to have yearly land cover data updates for an area of interest. …

With Gradio, Hugging Face and Fastai — After you develop an application, you need to demonstrate your model. The first step is to serve it locally on your computer. However, sharing the world with your application requires deploying and hosting on a server. Developing web applications in Python is getting a lot of traction thanks to the…

Tools, Techniques and datasets — Geospatial Data Science is evolving, and I try to keep abreast of the development trends. I have written and explored fewer of these developments in the last two months in this publication due to some other project engagements. …

Install hustle free geospatial libraries with one line of code in Anaconda. — I have had my share of frustration installing geospatial packages. The same is also true for my students. Mismatching dependency libraries can sometimes be challenging. Lately, I have had a smooth transition into Installing packages through Conda and with almost no failure. …

Ingest, process, and Visualize 3D Point Cloud Data in Python — Working with 3D point cloud data is challenging. The collection of the points in one Lidar image is usually extensive and might reach millions of points depending on the image size. Handling the height dimension also poses other complexities. A point cloud is a set of data points in space…

Learn LiDAR Point Cloud Data, its applications and Sources. — LiDAR Point Cloud data is widely used in Geospatial and Earth observation applications. This blog post will look into what Lidar data is, where and how to access it freely, and the open-source tools you can use to work with point cloud data. In the next blog post, I will…

Worldwide availability through many platforms. — Landsat 9 satellite was launched last year, and USGS made the first scenes of Landsat 9 data available on Feb 10 2022. You can now access and download the data through USGS Earth Explorer. …

Progress, best practices & Gaps. — Spatial data is often inappropriately handled or even ignored in Machine learning. Compared to other datasets, like time-series data, spatial data integration into machine learning algorithms is lagging. A recent review paper highlights the current state of machine learning in spatial data, the trends, and the gaps. I enjoyed reading…