Mastodawn

Filipe C. Felix Sep 10, 2024

Pedro Batista Sep 10, 2024

It is hard to predict when, where, and how bad soil erosion events hit arable fields. But it just got easier - we trained a regional scale model to nowcast erosion events on individual fields. It works surprisingly well! Read more about it in our preprint: https://tinyurl.com/r7hyp5ze

Soil-erosion events on arable land are nowcast by machine learning

Accurate estimates of the location, timing, and severity of soil-erosion events on arable land have eluded erosion-prediction technology for decades. Here, for the first time, we demonstrate how a machine learning model can nowcast the occurrence and relatively rank the severity of erosion events...

Filipe C. Felix Aug 19, 2024

Jakub Nowosad Aug 19, 2024

✨ The GeoPAT 2 software allows the segmentation/regionalization of large spatial raster data.✨

Now, thanks to D G Rossiter, it can now be installed on MacOS.

You can find all of the instructions and other links at https://buff.ly/3LEzA4b.

#sil #spatialpatterns #gitchat

GitHub - Nowosad/geopat2: GeoPAT 2 - a suite of modules dedicated to analysis of large datasets in their entirety using spatial and/or temporal patterns

GeoPAT 2 - a suite of modules dedicated to analysis of large datasets in their entirety using spatial and/or temporal patterns - Nowosad/geopat2

GitHub

Filipe C. Felix Aug 1, 2024

We have just launched the new Geoportal of #TerraClass (https://bit.ly/3M9Twwd) with the updated historical mapping series for the #Amazon and #Cerrado biomes!

The maps were produced using #Brazilian technology (#INPE, #EMBRAPA), combining #datacubes (#Sentinel and #Landsat) and Big Data analysis with #SITSpackage.

Terra Class

Filipe C. Felix Apr 16, 2024

Martin Fleischmann Apr 13, 2024

We have just released @geopandas 1.0.0-alpha1, the first of the pre-releases of the upcoming major version of the package 🚀. It comes with some changes you may notice in your workflows.

Here’s a short blog post highlighting the most critical bits - https://martinfleischmann.net/geopandas-1.0-is-coming.-what-will-change/

Please, help us test the pre-release and let us know if something doesn't look right!

```
pip install geopandas --pre -U
```
🐍

GeoPandas 1.0 is coming. What will change?

The GeoPandas team is racing towards the 1.0 release, nearly 10 years after 0.1 made it to PyPI. As with any major release, it brings some changes. This post highlights those I feel are the most important and invites you to test the 1.0.0-alpha1 and later rc versions before we let the stable version fly to the world. Please test! As of today, GeoPandas 1.0 is out as a pre-release 1.

Filipe C. Felix Mar 19, 2024

Anatoly Tsyplenkov Mar 17, 2024

#rstats #rspatial and other #geospatial folks, I am pleased to announce the {centerline} package! It's a small but powerful tool that can find a centerline of closed polygons.
It has both {terra} and {sf} support and works pretty well, as far as its maintainer (i.e., me) sees. The very first devel version is out, and I'm curious to hear any feedback. Its even doesn't have any logo yet
https://github.com/atsyplenkov/centerline

GitHub - atsyplenkov/centerline: An R package to retrieve the centerline of polygons

An R package to retrieve the centerline of polygons - atsyplenkov/centerline

GitHub

Filipe C. Felix Mar 14, 2024

GRASS Mar 12, 2024

📢New patch release: GRASS GIS 8.3.2 is out!

It comes with 30+ changes including important fixes and improvements 🚀

https://grass.osgeo.org/news/2024_03_07_grass_gis_8_3_2_released/

Installers & binaries: https://grass.osgeo.org/download/

Thanks to all #contributors that made another release possible! 🤓🙌

@osgeo @foss4g #OpenSource #GeoSpatial

GRASS - Bringing advanced geospatial technologies to the world

GRASS is a powerful open-source geospatial processing engine that supports advanced modeling, time series analysis, and spatial data management.

GRASS

Filipe C. Felix Feb 23, 2024

Jakub Nowosad Feb 22, 2024

The new version of supercells is on CRAN.

It is a clean version in preparation for the upcoming improvements.

Learn more at https://buff.ly/3NSTx9i.

#rstats #rspatial #spatialsegmentation

Superpixels of Spatial Data

Creates superpixels based on input spatial data. This package works on spatial data with one variable (e.g., continuous raster), many variables (e.g., RGB rasters), and spatial patterns (e.g., areas in categorical rasters). It is based on the SLIC algorithm (Achanta et al. (2012) <doi:10.1109/TPAMI.2012.120>), and readapts it to work with arbitrary dissimilarity measures.

Filipe C. Felix Feb 21, 2024

Edzer Pebesma Feb 19, 2024

"OpenEOcubes: an open-source and lightweight R-based RESTful web service for analyzing earth observation data cubes" https://link.springer.com/article/10.1007/s12145-024-01249-y @brianpondi

OpenEOcubes: an open-source and lightweight R-based RESTful web service for analyzing earth observation data cubes - Earth Science Informatics

In recent decades, Earth Observation (EO) systems have seen remarkable technological advancements, leading to a surge in Earth-orbiting satellites capturing EO data. Cloud-based storage solutions have been adopted to manage the increasing data volume. Although numerous EO data management and analysis platforms have emerged to accommodate this growth, many suffer from limitations like closed-source software, leading to platform lock-in and restricted functionalities, restricting the scientific community from conducting open and reproducible research. To tackle these issues, we present OpenEOcubes, a lightweight EO data cubes analysis service that embraces open-source tools, standardized APIs, and containerized deployment, we demonstrate the service’s capabilities in two user scenarios: performing vegetation analysis in Amazonia, Brazil for one year, and detecting changes in a forested area in Brandenburg, Germany based on five years of EO data.OpenEOcubes is an easy-to-deploy service that empowers the scientific community to reproduce small and medium-sized EO scientific analysis while aggregating over a potentially huge amount of data. It enables the extension of functionalities and validation of analysis carried out on different EO data processing platforms.

SpringerLink

Filipe C. Felix Nov 18, 2023

Programming Weekly Nov 18, 2023

Show HN: Numbat – A programming language with physical dimensions as types

https://numbat.dev/articles/intro.html

Discussions: https://discu.eu/q/https://numbat.dev/articles/intro.html

#programming #rustlang

Introducing Numbat: The type system

Introduces the programming language Numbat and its type system

Filipe C. Felix Nov 17, 2023

Happy to share the first chapter of my PhD published in ISPRS Open Journal of Photogrammetry and Remote Sensing! 🛰️

We explored the potential of #Sentinel-2 images and #UAV data in predicting soil loss ratios and the #Cfactor for #sugarcane fields. 🌱 Valuable insights for soil erosion modeling!

#RGB #Multispectral #RUSLE

Read our paper here:

https://www.sciencedirect.com/science/article/pii/S2667393223000212?via%3Dihub