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#qgis — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #qgis, aggregated by home.social.

  1. @defuneste If you ever need it again: Virtual Layers are your friend

  2. Trying out #QGIS 4.2.x, there are many convenient features, but a few plugins I frequently use aren't available yet. Stick with QGIS 3.44.x LTS for now.

  3. Still considering about how a vectorized pdf map (or svg map) should be stored for displaying in #qgis / with a web browser, while keeping the exact layout. Converting to raster looses many details (or gets very big). Vector formats seem to be describing-only (which is great, but another use case). (Or at least: keeping the georeferencing information with the pdf, think of e.g. Bebauungspläne)

  4. 🚨 QField feature alert 🚨

    The next version of QField lets you set a bookmark as a navigation destination — straight from the top search bar and the brand-new bookmarks manager drawer.

    A neat little gap we spotted while adding test cases around search bar filters to our CI. Now you can line up a spatial bookmark and navigate right to it.

  5. ⚠️ Why standard GIS routing (D8, Sink Fill) fails in complex mining regions: 300m open pits become fake "lakes", and underground river tunnels are completely ignored.

    To map surface drainage across central Kryvyi Rih, I built a custom DEM hydro-conditioning pipeline:
    🔹 Selective sink filtering (true pits vs DEM noise)
    🔹 Subsurface conduit burn-in (diversion tunnels)
    🔹 Closed micro-catchment delineation

    Crucial for geochemical transport & geotechnical risks.

    🛠️ #RStats (#terra, #Rsagacmd), #QGIS, #SAGAGIS

    #GIS #Hydrology #HydroEnforcement #FOSSGIS #Mining #Geospatial #KryvyiRih #DigitalTerrainAnalysis #InhuletsRiver #Ukraine

  6. Into the Field: Exploring Small Mammal Habitats winoda.de/en/2026/08/26/into-t By the end of July, the time had finally come! After months of preparation, planning, coordination with the research team, invitations, acceptances and cancellations, we were finally ready to go […] #WiNoDaKnowledgeLabJournalen #Fieldwork #Habitatsurvey #QField #QGIS #Smallmammals

  7. 🛠 What does an end-to-end open-source stack look like for an independent hydrogeochemical monograph?

    Doing full-cycle research—from thermodynamic calculations to print-ready LaTeX typesetting—requires a synchronized toolkit. Here is the exact stack:

    🧪 Thermodynamics & Analytics:
    #PHREEQC 3.7.3 for aqueous speciation&equilibrium modeling.
    #Rstats Stack: RedModRphree, ggtern, sf/terra, tidyverse (ETL).

    🗺 GIS & Literature Search:
    #QGIS for spatial alignment & cartography.
    #Recoll for local full-text search across reference databases.

    📚 Typesetting & Reproducibility:
    #LaTeX2e + #TeXStudio + #JabRef for typography & #BibTeX references.
    • xtable for automated R-to-LaTeX data exporting.
    #Debian Linux as a main engine.

    💡 Takeaway: Zero proprietary software licenses needed. Complete reproducibility from raw analytical data to a print-ready PDF.

    🔗 The published version of monoghraph is here:
    zenodo.org/records/20709306

    #Hydrogeology #Geochemistry #LaTeX #GIS #OpenScience #DataScience #SvystunovaGully

  8. Most of my afternoon today was spent in #QGIS with one of my Masters students Dee Patel.

    We're preparing my long-term bird monitoring data around Christchurch, NZ, for analysis. Today we gridded up my four standard bike transects into 1 km sections, surrounded by approximately 1 km square polygons.

    Dee's particularly interested in how the conversion of farmland to urban housing affects birds.

    Next Dee will be doing some clever analysis of my distance sampled bird counts to estimate the density of each bird species in each grid cell in each month over the past 12–23 years (depending on the route). She'll then compare those densities with land use changes from the NZ land cover database.

    It's going to be interesting to see what patterns emerge.

    #EcologicalMonitoring #birds #nz #ecology #LincolnUniversityNZ

  9. Here's an animated movie of the accumulating korimako observations over the past 18 years along my fortnightly 10.1 km run route in Ōtautahi-Christchurch, NZ.

    flic.kr/p/2soCFTA

    #wildcounts #EcologicalMonitoring #birds #Christchurch #Ōtautahi #NZ #Flickr #animation #map #qgis #bellbird

  10. Изолинии как документ и кригинг, которому можно верить

    Мы создаем софт для горно-геологических служб калийных рудников, и это третья статья цикла про геостатистику в QGIS: в первой был кригинг на чистом NumPy, во второй - выбор между пятью его видами. Сегодня две темы, которые остались за кадром, а в повседневной работе геолога решают едва ли не больше самой интерполяции. Первая - изолинии: не картинка поверх растра, а документ, который идёт в подсчёт запасов и на печатные планы, со строгими требованиями к геометрии. Вторая - всё, что живёт вокруг кригинга и превращает интерполяцию в решения: карта стандартной ошибки, кросс-валидация, внешний дрейф, вероятность превышения кондиции, гидравлика потока по Дарси и гауссова симуляция неопределённости.

    habr.com/ru/articles/1057232/

    #qgis #addon #isoline #gis #geostatistics

  11. Какой кригинг выбрать: простой, ординарный, с трендом, блочный, индикаторный

    Мы создаем софт для горно-геологических служб калийных рудников, и после первой статьи про [кригинг на чистом NumPy]( habr.com/ru/articles/1055612/ ) самый частый вопрос звучал одинаково: «Хорошо, а какой именно кригинг брать?» Вопрос правильный: под словом «кригинг» живёт целое семейство методов, и выбор между ними влияет на результат сильнее, чем тонкая настройка вариограммы. В плагине Isoliner их пять - простой, ординарный, с полиномиальным трендом, блочный и индикаторный, - и каждый существует не для галочки, а под конкретный класс геологических задач. Под катом - разбор всех пяти на живых примерах калийного месторождения: когда какой, какие параметры за что отвечают, как это выглядит в коде и на каких ошибках спотыкаются чаще всего. <cut/> ## Общая механика: что меняется, а что нет Напомню каркас из первой статьи: оценка в точке - взвешенная сумма соседних скважин, веса - решение системы уравнений с ковариациями из вариограммы: ```python s = np.linalg.solve(A, r) # A - ковариации соседей между собой, w = s[:na] # r - ковариации соседей с точкой оценки est = float( np.dot (w, vra)) ``` Все пять видов кригинга решают эту систему. Различаются они тем, что считается неизвестным про среднее поле и что именно оценивается - точка, блок или вероятность. Это и есть ключ к выбору. ## Простой кригинг (SK): среднее известно Простой кригинг предполагает, что среднее значение поля вам известно заранее и постоянно по площади. Тогда система решается без дополнительных условий, а недобор веса соседей компенсируется этим средним:

    habr.com/ru/articles/1056300/

    #qgis #addon #isoline #gis #geostatistics

  12. Геостатистика в QGIS без SAGA: кригинг на чистом NumPy

    Мы создаем софт для горно-геологических служб калийных рудников. Наши геологи и маркшейдеры каждый день превращают тысячи скважинных проб в карты: отметки кровли пласта, содержания KCl, мощности, газоопасность. Классический инструмент для этого - кригинг, и в QGIS он формально есть: SAGA, GRASS, Smart-Map, связки со SciPy. На практике же каждый вариант чем-то не устраивал, и год назад я начал писать свой плагин. Сейчас Isoliner - это 24 инструмента в официальном репозитории plugins.qgis.org : кригинг четырёх видов, вариограммный анализ, кросс-валидация с отчётами, изолинии с контурными полигонами, геологические разрезы и собственный 3D-просмотр. Вычислительное ядро - чистый NumPy, ни одной внешней зависимости. Под катом - зачем понадобился ещё один кригинг, как выглядит система кригинга в двадцати строках NumPy, что такое вариограмма на пальцах и почему абсолютные единицы силла — главные грабли всех, кто впервые открывает такие инструменты.

    habr.com/ru/articles/1055612/

    #qgis #addon #isoline #gis #geostatistics

  13. ☀️ Good morning from #FOSS4GE2026 !

    A new day has started in Timișoara, with sessions on ☁️ Cloud GIS , #QGIS 🧭, #MapLibre 🗺️, #GeoServer 🛠️, 🛰️ Earth Observation, 🤖 AI, 🌆Digital Twins, and much more.

    We look forward to inspiring discussions, live demonstrations, and interesting conversations with the open geospatial community. See you around! 🌍

    #OpenSource #Geospatial #GIS #EarthObservation #digitaltwins

  14. 🙌 You asked, we listened! Due to huge demand, we've expanded from 40 to 60 seats.

    We've cleared most of the waitlist — if you were waiting, check your inbox 📩

    Wednesday, alongside 2026.

    conference.qgis.org/tic

  15. 📢🗺️📽️ [webinaire] #Carte_Blanche_26

    Action de recherche (Carto)graphies et (géo)visualisation de données
    #AR9magis #GdR_CNRS_MAGIS

    ➡️ 🌡️ #IA & #optimisation des #workflow dans #QGIS

    by Dalila AMIAR MEFTAH, Architecte, géographe/géomaticienne, GEOMA-SIG.com

    📆 26 mai 2026 - 12h30-13h30

    🔗 En savoir plus : magisar9.github.io/webinaires/

  16. WhereGroup Shorts am 21. Mai – kostenlos & online 🧠

    🌐 Eine GDI bringt erst Mehrwert, wenn Daten im Alltag ankommen – beim Planer, Techniker & Entscheider.

    👀 Isabelle Korsch zeigt praxisnah anhand von #QGIS, #Mapbender & #QField:
    • Dienste einbinden
    • Daten bearbeiten
    • Oberflächen anpassen

    🗓️ 21. Mai | 09:00–12:30 Uhr | 📍 Online

    Programm: 👇
    wheregroup.com/ueber-uns/event

    Anmeldung: 👇 us06web.zoom.us/webinar/regist

    #GDI #Geodaten #OpenSource #WhereGroupShorts

  17. @qfield
    I love it :mastolove:
    This will totally change our teams' field work - can't wait to see it implemented in our mapping projects!
    #QGIS #QField #Mapping #MobileGIS

  18. ⭕ COGO in : Map features you can't reach on foot.

    Define two reference points and a radius for each. QField calculates where the circles intersect — two candidates (A and B). You pick the right one.

    Ideal for field centres, restricted areas, or features in difficult terrain. 🗺️

    docs.qfield.org/how-to/advance

  19. 📏 COGO in : Point by Distance & Angle

    From a reference point, enter the bearing and distance — QField draws a live visual line to the calculated position.

    Supports elevation offsets for 3D geometries too.

    Perfect for infrastructure work: boundaries, buried pipes, underground cables. 🔧

    docs.qfield.org/how-to/advance

  20. La journée OSM et Territoires était l'occasion de rencontrer celles et ceux qui pratiquent les communs numériques au quotidien dans leur collectivité territoriale et de partager leurs témoignages. J'ai pu y parler mesure de l'artificialisation des sols, et comparer la place prise par les stationnements des véhicules particuliers durant la session de lightning talks. Gouverner c'est prévoir, et pour atteindre nos objectifs, encore faut-il connaître ce qui est à notre disposition. #OpenStreetMap est un commun numérique incontournable pour relever ce défi du changement climatique.

    Pour ce faire, après 12 ans d'entreprise individuelle de développement web avec #CipherBliss, je suis en train de lancer une société nommée #TamiaData.

    Merci à la Fédération des pros d'OSM et aux organisateurs des journées QGIS.org, à Rémi Labarthe pour la photo, ainsi qu'à l'université de #Brest!

    #qgis #collTerr #climat #saclay #idf @fposm @JourneesQgis #sols #territoire #numérique #floss #parkingLand #sortirDesFossiles #repowerEU

  21. > It became a local “Google Maps,” except it reflected their world rather than someone else’s.

    # Community-led mapping for land rights and forest protection in Sarawak with QField | QField - Efficient field work built for QGIS
    qfield.org/success-stories/sar

    > Azon történetek egyike, amely oly szinten megérint, hogy könnyeim gyűlnek a gyönyörtől. Ki van még így ezzel?
    > [name=eapo]

  22. 🔥 Mapping the Urban Thermal Environment: Summer 2025 Land Surface Temperature (LST) in Calgary

    I am sharing the latest results of my spatial data analysis, focusing on the intra-urban thermal zones across Calgary, AB. The attached choropleth map and bar chart detail the average Land Surface Temperature. While the map shows whole city area, the bar chart made specifically for built-up residential communities. To ensure accurate and fair comparison, undeveloped greenfield areas and strictly industrial zones were filtered out.

    ❗ Based on the Summer 2025 satellite composite data:
    🔴 The highest average LST values among residential areas were recorded in Rundle, Manchester, Marlborough, Martindale, and Castleridge.
    🔵 The lowest average LST values were observed in Rideau Park, Roxboro, Discovery Ridge, Eau Claire, and Osprey Hill.

    Find more interesting posts with hashtag #GreennessOfCalgary

    #RStats #GISChat #QGIS #SpatialAnalysis #RemoteSensing #EarthObservation #UrbanEcology #OpenScience #YYC #Alberta #Canada

  23. How did Calgary respond to the wet summer of 2025?
    Here’s the median summer NDVI map derived from Sentinel-2 imagery.
    You can clearly see the Bow River corridor, Nose Hill Park, and the contrast between established tree-rich communities and newer developments.

    Full analysis here:
    datastory.org.ua/how-much-gree

    #Geospatial #NDVI #UrbanClimate #Calgary #RStats #GreennessOfCalgary #yyc #Apberta #QGIS #foss4g #EnvironmentalMonitoring #UrbanHealth

  24. New analysis published:
    “How Much Greener Is Calgary in 2025?”

    Using Sentinel-2 data (~8.5M pixels), I calculated NDVI change (ΔNDVI) between the 2024 drought and the rainy 2025 season across all Calgary communities.

    Clear spatial pattern:
    • Strong rebound in mature tree neighborhoods
    • Limited change in developing, impervious-heavy zones

    Method: R (terra, tidyverse) + QGIS
    Community boundaries: Open Calgary

    Article + interactive table: datastory.org.ua/how-much-gree

    #RemoteSensing #NDVI #OpenData #UrbanEcology #RStats #QGIS #GreennessOfCalgary

  25. Thousands of studies describe Rayleigh–Taylor instability, and most hydrogeological models acknowledge its importance in contaminant transport.

    However, in studies of the Svystunova gully mine-water storage pond, I have not seen density explicitly accounted for — despite highly mineralized waters where this factor can fundamentally change plume behaviour.
    By calculating solution density within the contamination halo, I demonstrated a real risk of gravity-driven sinking of the contamination plume to the base of the aquifer. This finding adds a critical dimension to impact assessment and is now documented as a standalone section in my ongoing report.

    If you work with mine water, aquifers contamination, or long-term contamination modelling, this is a parameter worth revisiting.

    #Hydrogeochemistry #Groundwater #MineWater #PHREEQC #RStats #QGIS #EnvironmentalRisk #Contamination #RiskAnalysis #SvystunovaGully

  26. Based on the metasomatic (thermodynamic) zonation of the groundwater contamination plume identified in my study, I prepared a schematic impact map.

    Unlike conventional chloride concentration isolines (which are often weakly informative), this approach reflects the thermodynamic state of the aquifer. The map clearly shows that the aggressive corrosion-by-mixing zone (Subzone III) occupies a large area and, in several places, extends beyond the existing monitoring well network.

    This indicates that the current monitoring system is insufficient to delineate the full zone of influence of the mine water impoundment.

    The criteria for defining metasomatic subzones and the associated risks are described in detail in the current published version of my monograph:
    zenodo.org/records/16741148

    #PHREEQC #RStats #QGIS #Geochemistry #Groundwater #Contamination #Hydrogeology #EnvironmentalGeochemistry #SvystunovaGully

  27. #SvystunovaGully
    I’ve published a short methodological paper on Zenodo, derived from my ongoing monograph on mine-water impact on carbonate aquifers.

    The note introduces the pre-dissolution effect — a positive feedback mechanism where aggressive saline waters accelerate carbonate dissolution, increasing permeability and prolonging contamination even after the source is isolated.

    The focus is not on a single case study, but on a transferable geochemical interpretation framework (PHREEQC-based, reproducible, field-data driven).

    📄 Open access: zenodo.org/records/18142106

    #Hydrogeochemistry #EnvironmentalGeochemistry #PHREEQC #Groundwater #ReproducibleResearch #RStats #QGIS #FOSS

  28. #Fahrradsaison #Abschluss
    Das Jahr 2025 neigt sich zu Ende. Unser #geodät|isches #Hobby führte #Pylone und #Fahrrad zu 98 Punkten mit 30 verschiedenen Bedeutungen. Die kleine #QGIS- Karte gibt eine Übersicht dazu. Wir freuen uns auf 2026. #HappyNewYear #SchönesNeuesJahr

  29. Seven months after publishing the draft of my monograph on Zenodo, it has passed 2,000 downloads.

    I take this as a signal of ongoing interest in the topic and in the proposed methodological approach. It also suggests that the framework may be applicable beyond the original case study.

    Currently working on the next version with further refinements and extensions.

    #Hydrogeochemistry #PHREEQC #GeochemicalModeling #ReproducibleResearch #EnvironmentalGeochemistry #rstats #qgis #SvystunovaGully #mining

  30. In 2025 I issued 146 official #QGIS certificates via #IHEDelft & #QWAST 🎉 Each adds €20 to QGIS ➡️ €2,920 raised! Explore trusted learning paths: 🔸 QGIS Certifying orgs: certification.qgis.org/en/ 🔸 IHE Delft: www.un-ihe.org/education 🔸 QWAST: www.qwast-gis.com/courses/ #GIS #LifeLongLearning

  31. In 2025 I issued 146 official certificates via & 🎉
    Each certificate contributes €20 to QGIS, so learners collectively supported the project with €2,920 while investing in their own skills. More info: qgis.org/community/certificati
    Explore trusted learning paths:
    🔸 QGIS Certifying orgs: certification.qgis.org/
    🔸 IHE Delft: un-ihe.org/education
    🔸 QWAST: qwast-gis.com/courses/

  32. QGIS to (Geo)Pandas – part 3

    The journey continues: QgsArrowIterator is now merged, making it possible to iterate over QgsFeatures as Arrow batches.

    This is where we are now ... anitagraser.com/2025/12/03/qgi

  33. #GreennessOfCalgary
    I’ve almost finished it!
    I’ve uploaded all eight parts of “The Greenness of Calgary: A Community-Level Atlas (2025). Contrast Color Edition” to #Gumroad

    Each part is a separate PDF using the “classic” high-contrast NDVI palette, optimized for visual interpretation of vegetation patterns. (The soft green palette will come later.)

    I’ve created a dedicated landing page with descriptions of all releases and download links.
    📎 Landing page is here: datastory.gumroad.com/l/qemrgul

    💲 The materials are available under a “pay what you want” model — free or with optional support.

    This is my first attempt at publishing geospatial analytical materials in this format. I apologise for some template-like descriptions. I hope this atlas series will be useful for researchers, enthusiasts, and anyone interested in Calgary’s urban ecology.

    #Calgary #YYC #UrbanEcology #NDVI #RemoteSensing #GIS #OpenData #Geospatial #DataVisualization #Cartography #QGIS #FOSS #Canada #Alberta #RStats #Sentinel2

  34. #SvystunovaGully
    888 downloads!
    Looks like I’ve created something that people actually find interesting.

    But here’s the real question: with a daily rate of 30–40 downloads... what are the odds of catching such a perfectly round number by accident? 🤣

    (Maybe the Universe has a soft spot for hydrogeochemistry!) 😁

    #OpenScience #Zenodo #Geochemistry #Hydrogeology #MineWater #DataScience #ResearchLife #ScienceHumor #Groundwater #EnvironmentalScience #Contamination #PHREEQC #RStats #LaTeX #QGIS #FOSS #WaterPollution

  35. Nose Hill Park, Calgary
    Median composite of Sentinel-2 imagery (mid-May to mid-September 2025).
    Band combination: 12-8-3, emphasizing substrate contrasts, vegetation structure, and moisture patterns.

    #RemoteSensing #EarthObservation #Sentinel2 #OpenData #GIS #QGIS #GeoDataArt #GeoSpectralArt #Calgary #Alberta #UrbanEcology #GeospatialAnalysis #Canada #GreennessOfCalgary #Copernicus #CopernicusSentinel #NoseHillPark

  36. I try to keep my results accessible even for readers who aren’t familiar with digital mapping or GIS.
    One simple technique is to complement classification maps with clear charts and tables showing how much area each class occupies.
    Here’s an example: the total surface area of geomorphon classes within the study region.

    There’s also a small but important detail that often gets overlooked: the order of classes in the chart should match the order used in tables and map legends.
    This tiny consistency makes it much easier for readers to orient themselves and follow the logic of the analysis.

    #GIS #Geomorphometry #DataViz #OpenScience #RStats #terra #QGIS #InhuletsRiver #ggplot2 #SAGA #FOSS

  37. 🔎 Preliminary watershed delineation for the Inhulets River study

    One of the early intermediate products from my broader research on the anthropogenic impacts on the #InhuletsRiver.
    This map shows a preliminary delineation of local drainage basins across the study area, derived from high-resolution DEM processing and hydrological modelling.

    The goal of this stage is to establish a consistent spatial framework for later analyses — including flow pathways, contaminant transport patterns, and the interaction between surface and groundwater systems.

    #GIS #Hydrology #Watershed #Geomorphology #OpenData #RemoteSensing #Geospatial #RStats #SAGA #QGIS #EnvironmentalScience #LandscapeGeochemistry #Copernicus #DEM #GeoDataArt

  38. 🎉 A small milestone for my hydrogeochemistry monograph about #SvystunovaGully

    Today, my Zenodo record passed 1,500 downloads across both released versions — something I never expected when I began this project as a personal, curiosity-driven exploration.

    It’s an independent study on groundwater–rock interaction, technogenic metasomatism, and carbonate–water equilibria, based largely on PHREEQC thermodynamic modelling and geospatial data.

    I’m grateful to everyone who took an interest, skimmed, downloaded, or shared it.
    Your attention gives this work a life I didn’t imagine it would ever have.

    ❗ And one more thing: in the monograph’s preamble I explicitly thank the developers of free and open-source software. Without their tools — R, PHREEQC, QGIS, LaTeX, Linux, JabRef and many others — this research would simply not have been possible.

    #Hydrogeochemistry #Geochemistry #Groundwater #PHREEQC #FOSS #OpenScience #RStats #QGIS #Zenodo #EnvironmentalScience #Carbonates #Metasomatism #GeoData #WaterPollution

  39. Result of a Principal Component Analysis (PCA) created from combined median composites of Sentinel-1 and Sentinel-2 imagery — somewhere in the Sudanese desert.

    This PCA composite brings out contrasts between lithologies, structural domains, drainage patterns, and surface materials, highlighting features that are nearly invisible in standard RGB representations.

    And yes — it also happens to look stunning.

    #RemoteSensing #EarthObservation #Geology #PCA #Sentinel1 #Sentinel2 #SAR #Radar #OpenData #GIS #QGIS #Geomorphology #Geoscience #SAGAGIS #RStats #Desert #Lithology #GeoDataArt #GeoSpectralArt #Sudan #Copernicus #CopernicusSentinel

  40. Exploring large-scale landscape structures with a simple Principal Component Analysis (PCA) applied to a MODIS composite.

    The PCA reveals striking contrasts in surface materials, vegetation patterns, and terrain transitions across western Canada — from the Rocky Mountains into the prairies and the Canadian Shield.
    Even with moderate-resolution MODIS data, spectral variability produces a surprisingly rich view of regional geography and geomorphology.

    #RemoteSensing #EarthObservation #Geology #PCA #MODIS #OpenData #GIS #QGIS #Geomorphology #Geoscience #RStats #Lithology #GeoDataArt #GeoSpectralArt #BorealForest #Taiga #Canada #Alberta

  41. Result of a Principal Component Analysis (PCA) based on combined median composites of Sentinel-1 and Sentinel-2 satellite imagery — somewhere in the desert of Sudan.

    The PCA highlights contrasts between different lithologies, structural domains, and surface materials, revealing subtle geological features that are hard to distinguish in standard RGB composites.

    And yes — it also looks simply beautiful.

    #RemoteSensing #EarthObservation #Geology #PCA #Sentinel1 #Sentinel2 #Radar #OpenData #GIS #QGIS #Geomorphology #Geoscience #SAR #SAGAGIS #RStats #Desert #Lithology #GeoDataArt #GeoSpectralArt

  42. 📘 A small milestone for my independent research project

    I’m honestly a bit shocked.
    When I published the first version of my hydrogeochemical monograph on May 27 (v0.72), and then the updated version on August 4 (v0.75), I expected almost no reactions at all.

    Today, the combined statistics on Zenodo show:
    - 1,400 downloads
    - almost 3,000 views

    For a niche, highly technical, openly accessible monograph created by one person — this is far beyond anything I imagined.

    Thank you to everyone who found the work useful enough to download, save, or read it.
    Your interest is the only reason this project keeps growing.

    #Geochemistry #Hydrogeology #MineWater #PHREEQC #EnvironmentalGeochemistry #Groundwater #Metasomatism #RStats #QGIS #OpenScience #IndependentResearch #SvystunovaGully #KryvyiRih #WaterPollution #Contamination #Mining #Zenodo

    (Full Zenodo record — in the ALT of the second image, for anyone interested.)

  43. After several weeks of thinking and DEM preprocessing, I finally generated a complete geomorphons map for the part of Inhulets River basin (Ukraine).
    It was far from easy — the original Copernicus GLO-30 DEM required careful cleaning, correction, and multi-step preparation before meaningful terrain forms could emerge.

    What makes geomorphons truly valuable for me is how well they correspond to geochemical landscape types — eluvial, transeluvial, superaquatic, and subaquatic zones.
    This overlap allows interpreting geomorphons as functional terrains with distinct element migration patterns, bridging geomorphology and environmental geochemistry.

    All computations were done using R + SAGA GIS + QGIS, with the excellent Rsagacmd package for seamless tool integration.

    #Geomorphons #SAGAGIS #Rsagacmd #QGIS #Geochemistry #RStats #Geospatial #Hydrology #RemoteSensing #Copernicus #OpenData #GIScience #InhuletsRiver #EnvironmentalGeochemistry #FOSS

  44. 🧪 Mine water + fresh water ≠ simple average

    When high mineralized mine waters mix with fresh groundwater, mineral reactions don’t behave linearly.

    The graphs below show how saturation indices for selected minerals respond to dilution:
    🔹 Copper sulfates (Antlerite, Brochantite, Langite) display clear peaks and drops.
    🔹 Gypsum remains undersaturated — yet falls sharply at high dilution.

    Each “dip” or “window” reflects a short-lived equilibrium where new mineral phases may form or dissolve — revealing the hidden dynamics of technogenic metasomatism in aquifer systems.

    📖 Draft monograph (v0.75) available on Zenodo:
    🔗 zenodo.org/records/16741148

    #Geochemistry #Hydrogeology #MineWater #PHREEQC #EnvironmentalGeochemistry #Groundwater #Metasomatism #RStats #QGIS #OpenScience #IndependentResearch #SvystunovaGully #KryvyiRih #WaterPollution #Contamination #Mining