OSGeo - Recent changes [en]

User:Bhudevbhanpuriya

Bhudevbhanpuriya — Tue, 05 May 2026 15:22:44 GMT

Created page with "== User:BhudevBhanpuriya == {| class="wikitable" |+ OSGeo Member |- ! Name | Bhudev Bhanpuriya | 150px|center | |- ! Job Title | Student |- ! Compa..."

New page

== User:BhudevBhanpuriya ==

{| class="wikitable"
|+ OSGeo Member
|-
! Name
| Bhudev Bhanpuriya
| [[File:1715061729162.jpg|150px|center]]
|
|-
! Job Title
| Student
|-
! Company
|
|-
! Address
| Indore, India
|-
! City
| Indore
|-
! State
| Madhya Pradesh
|-
! Country
| India
|-
! Local Chapter
| India
|-
! Email
| bhudevbhanp@gmail.com
|-
! Website
| https://github.com/bhudevbhanpuriya
|-
! Language(s):
| English; Hindi
|-
! Personal Description:
|
Third-year Indian Institute of Information Technology (IIIT) Gwalior, India.
 
GSoC 2026 contributor working on Time-Travel Data Access and Versioning UI for istSOS.
 
Driven by DSA, and the development of scalable, production-grade open-source software.
|}

File:1715061729162.jpg

Bhudevbhanpuriya — Tue, 05 May 2026 14:52:50 GMT

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Bhudev_Img

Google Summer of Code 2026 Accepted

Kinshuk — Mon, 04 May 2026 15:14:19 GMT

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EGU

Gisix — Mon, 04 May 2026 14:01:02 GMT

List of EGU-related wikipages and materials: Added 2025 Links

Nederland/Foss4GNL2026

Leonmvd — Mon, 04 May 2026 13:24:41 GMT

Lokaal/regionaal

Nederland/Foss4GNL2026

Geejee — Mon, 04 May 2026 09:27:29 GMT

Rollen en taken

File:Osgeonl in matrixletters.png

Geejee — Mon, 04 May 2026 09:23:47 GMT

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Osgeonl in matrixletters

Nederland/Foss4GNL2026

Geejee — Mon, 04 May 2026 08:55:48 GMT

Rollen en taken

TorchGeo embeddings

Darkblueb — Sun, 03 May 2026 17:41:19 GMT

Created page with "Notes on '''EARTH EMBEDDINGS AS PRODUCTS: TAXONOMY, ECOSYSTEM, AND STANDARDIZED ACCESS''' <pre> Heng Fang† ∗ Adam J Stewart‡ ∗ Isaac Corley§ * Xiao Xiang Zhu *..."

New page

Notes on
'''EARTH EMBEDDINGS AS PRODUCTS: TAXONOMY, ECOSYSTEM, AND STANDARDIZED ACCESS'''
<pre>
Heng Fang† ∗ Adam J Stewart‡ ∗ Isaac Corley§ * Xiao Xiang Zhu * Hossein Azizpour†
† KTH Royal Institute of Technology, Stockholm, Sweden
‡ Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany
§ Wherobots, San Antonio, USA
</pre>
arXiv:2601.13134v1 19 Jan 2026 [LINK](https://arxiv.org/abs/2601.13134)

Introduction

• A comprehensive survey that organizes existing geospatial embedding products into a structured taxonomy and provides a detailed metadata atlas (resolution, license, etc.).
• Unified Integration: implements standardized data loaders for these embeddings in [TorchGeo](https://www.osgeo.org/projects/torchgeo/)

An overview landscape is proposed : a) Analysis Frameworks & Tools; b) Embeddings data artifacts; c) charting downstream application value, specifically mapping tasks and retrieval tasks. Embeddings are differentiated as either location-typed, patch-typed or pixel-typed. Details of existing products are shown.

🌍 1. Foundation Models for Earth Observation (EO)

These are the leading projects that aim to build general-purpose models capable of representing Earth from
satellite imagery and other geospatial modalities.

🔧 Projects:
- Clay Foundation Model – [Hugging Face](https://huggingface.co/made-with-clay/Clay) 2024
*A multimodal foundation model for Earth using diverse data sources.*

- Major TOM – [AFrancis IGARSS 2024](https://huggingface.co/Major-TOM)
*Expandable datasets and models for global EO coverage.*

- Earth Index Embeddings – [Earth Genome](https://www.earthgenome.org/earth-index), 2025
*A large-scale embedding system built from Earth observation data.*

- Copernicus-Embed – [Zhu et al., AI4Copernicus Project](https://github.com/zhu-xlab/Copernicus-FM)
*Foundation model leveraging Copernicus Sentinel data.*

- Presto Embeddings – [NASA Harvest](https://nasaharvest.github.io/presto-embeddings/)
*Embedding framework for satellite time series and land use analysis.*

- Tessera Embeddings – [GeoTessera Docs](https://geotessera.readthedocs.io/en/latest/) [REPO](https://github.com/ucam-eo/tessera)
*pixel-based Temporal spectral embeddings for Earth representation.*

- Google Satellite Embedding (AlphaEarth) – [Google Earth
Engine](https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_SATELLITE_EMBEDDING_V1_ANNUAL)
*An early-stage embedding model using Google's global satellite data.*

- OlmoEarth – [AllenAI, 2025](https://allenai.org/olmoearth)
*Latent image modeling approach for multimodal Earth observation.*

📚 Key Papers:
- XXZhu 2025 [LINK](https://www.nature.com/articles/s43247-025-03127-x) – “On the Foundations of Earth Foundation Models”
- CFBrown 2025 [LINK](https://arxiv.org/abs/2507.22291) – “AlphaEarth Foundations”
- KKlemmer 2023 [LINK](https://arxiv.org/abs/2311.17179) – “SatCLIP: Global Location Embeddings with Satellite Imagery”

---

📦 2. **Datasets**

Large-scale, open-access datasets play a central role in training and evaluating Earth foundation models.

🗃 Datasets:
- EuroSAT – [Zenodo](https://zenodo.org/records/7711810)
*Land use classification dataset using Sentinel-2 satellite data.*

- EuroCrops – [PMC 10495462](https://pmc.ncbi.nlm.nih.gov/articles/PMC10495462/)
*Crop type mapping dataset for Europe.*

- National Land Cover Database (NLCD) – Photogrammetric Engineering & Remote Sensing 2001 [LINK](https://www.ingentaconnect.com/content/asprs/pers/2004/00000070/00000007/art00005;jsessionid=2awgc0agiboi4.x-ic-live-02)
*USA land cover classes*

- SSL4EO-S12 – IEEE Geoscience and Remote Sensing 2023 [LINK](https://github.com/zhu-xlab/SSL4EO-S12)
*Multimodal, multitemporal dataset for self-supervised learning.*

- Copernicus-Pretrain – [IEEE Geoscience and Remote Sensing 2023](https://github.com/zhu-xlab/Copernicus-FM)
*an extension of the SSL4EO-S12 dataset to all major Sentinel missions (S1-S5P)*

---

🧠 3. **Models & Methods**

These include both classical and cutting-edge machine learning approaches used in building Earth foundation
models.

⚙ Core Methods:
- SatCLIP** – AAAI 2025 etc [LINK](https://arxiv.org/abs/2311.17179)
*Vision-language model for global location representations.*

- MMEarth** – [EU/CV 2024](https://arxiv.org/abs/2405.02771)
*Multimodal pretext tasks for geospatial representation learning.*

- ResNet** – [KHe IEEE/CV 2016](https://viso.ai/deep-learning/resnet-residual-neural-network/)
*Baseline CNN architecture widely used in EO.*

- ConvNeXt V2** – [Woo et al., IEEE/CVF 2023](https://github.com/facebookresearch/ConvNeXt-V2)
*Efficient ConvNet architecture using masked autoencoders (MAE).*

- DINO, DINOv2, DINOv3** – INRIA 2021–2023, META [LINK](https://dinov3.org/)
*Vision transformers with self-supervised learning capabilities.*

- MAE (Masked Autoencoders)** – IEEE/CVF 2021 [LINK](https://arxiv.org/abs/2111.06377)
*Self-supervised learning for vision transformers.*

🧬 Distillation & Advanced Approaches:
- **Distillation methods** – Transfer knowledge from large models.
- **Neural plasticity-inspired models** – [ZXiong, arXiv 2024]
*Inspired by biological learning mechanisms.*
- **Multi-label guided soft contrastive learning** – [YWang, IEEE TGRS, 2024]
- **Barlow Twins** – [Zbontar et al., arXiv 2021]
*Method for learning representations without contrastive loss.*
- **Continual Barlow Twins** – [IEEE JSTARS, 2023]
*Extends Barlow Twins to continual learning in EO segmentation.*

---

🛠 4. **Tools & Benchmarks**

These are software systems and frameworks that support development, evaluation, or deployment of EO AI
models.

🧰 Tools:
- TorchGeo** – [AJStewart ACM 2025](https://www.osgeo.org/projects/torchgeo/)
*PyTorch library for geospatial deep learning.*

- NeuCo-Bench** – [RVinge, arXiv 2025](https://arxiv.org/html/2510.17914v1)
*Benchmarking framework for neural embeddings in Earth observation.*

- GeoINRID** – [GitHub: arjunarao619/GeoINRID](https://github.com/arjunarao619/GeoINRID)
*Geospatial inference and representation learning toolkit.*

🏆 Challenges:
- **Embed2Scale Challenge** – [CVPR CAlbrecht 2025](https://research.ibm.com/publications/the-2025-cvpr-earthvision-data-challenge-by-embed2scale)
*Large-scale Earth vision challenge focused on scale-aware embeddings.*

- TerraMind Blue-Sky Challenge** – [JJakubik, arXiv 2025]
*Generative modeling for Earth observation.*

---

🧭 5. **Key Themes & Trends**

1. Foundation Models**: TorchGeo now includes data loaders designed for search/retrieval (Clay, Major TOM, Earth
Index), and for dense prediction tasks like land cover mapping (Copernicus, Presto, Tessera, Google). TorchGeo allows us to enable fair, side-by-side benchmarking of different embedding models on the same downstream tasks, forming the basis for future experiments. Projects are encouraged to strengthen and improve explainability.

1.1 Major TOM Notes** Major TOM embeddings are not (yet) really product-oriented and are aimed with a similar purpose to the MT Core datasets - to make it easier to experiment and benchmark model outputs (hence, unlike TESSERA and AEF which came a few months after, MT embeddings do not have consistent or aggregated temporal scope). We haven't had enough time to finish off the preprint, but my current plan is to provide a simple MT Embedding benchmark at this year's EGU and integrate that into the arxiv pre-print. --Miko

1.2 Earth Index / Earth Genome** Use the Earth Index application (earthindex.ai) for non-technical users to use the embeddings we published on source.coop. Users of the web app (non-technical journalists, indigenous communities/allies, NGOs) have been our main focus. Users of the source.coop embeddings have generally been more technical folks interested in exploring/innovating in what's possible --BenStrong

1.3 Clay** Clay and Presto offer documented tutorials on generating new embeddings with their models. In CLAY, the encoder receives unmasked patches, latitude-longitude data, and timestep information. Notably, the last 2 embeddings from the encoder specifically represent the latitude-longitude and timestep embeddings.

2. Self-Supervised Learning (SSL)**:

3. Multimodal Integration**:

4. Open Data & Tools**: Open-source projects (e.g., TorchGeo, Copernicus-Embed) and public datasets
(EuroSAT, EuroCrops) are crucial for reproducibility and democratization of EO AI. Projects are encouraged to increase Input Data Diversity, and to adopt cloud-native data formats for geospatial data.

5. Benchmarking**: Projects are encouraged to standardize in benchmarking. Benchmarks including NeuCo-Bench and Embed2Scale.

---

📌 Research Directions

- Unified Earth Foundation Models**:
- Interpretability in EO AI**: Exploring how these embeddings can be interpreted by domain experts.
- Ethics and Bias**: Investigating fairness and bias in global EO models trained on unevenly distributed
data.
- Edge Deployment**: Making these large foundation models deployable on resource-constrained platforms
(e.g., for field use).

[[Category:TorchGeo]]

Google Summer of Code 2026 Accepted

Sakirr05 — Sun, 03 May 2026 09:58:43 GMT

Google Summer of Code 2026 Accepted

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OSGeo:Current events

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User:Sakirr05

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Main Page

Sakirr05 — Sun, 03 May 2026 09:48:23 GMT

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Google Summer of Code 2025 Accepted

Sakirr05 — Sun, 03 May 2026 09:48:01 GMT

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Google Summer of Code 2026 Accepted

Mohit31 — Sat, 02 May 2026 17:49:52 GMT

User:Mohit31

Mohit31 — Sat, 02 May 2026 07:27:10 GMT

User:Mohit31

Mohit31 — Sat, 02 May 2026 07:20:03 GMT

Created page with "{{OSGeo Member |name = Mohit Rawat |image = |jobtitle = Student |address = Pimpri Chinchwad College of Engineering |city = Pune |state = Maharashtra |country = India |loc..."

New page

{{OSGeo Member
|name = Mohit Rawat
|image =
|jobtitle = Student
|address = Pimpri Chinchwad College of Engineering
|city = Pune
|state = Maharashtra
|country = [[India]]
|localchapter = [[India]]
|email = mohit25rawat@gmail.com
|phone = +91 8766545911
|languages = English; Hindi
|description =
Second-year B.Tech student in Computer Science and Engineering at Pimpri Chinchwad College of Engineering, Maharashtra, India.
* Preparing for Google Summer of Code 2026 with a plan to implement the Make biconnected and Make maximal planar algorithms for efficient planar modules.
* Interested in Algorithms, DSA and learning new tools.
* Goal: To become a long-term OSGeo contributor and build scalable geospatial solutions.
}}

User:Mayur07

Mohit31 — Sat, 02 May 2026 07:05:19 GMT

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Main Page

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User:Krashish8

Bhudevbhanpuriya — Fri, 01 May 2026 13:06:43 GMT

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Google Summer of Code 2026 Accepted

Mayur07 — Fri, 01 May 2026 12:28:02 GMT

Accepted Proposals

User:Mayur07

Mayur07 — Fri, 01 May 2026 12:15:48 GMT

File:Mayur07.jpeg

Mayur07 — Fri, 01 May 2026 09:49:59 GMT

Mayur07 uploaded File:Mayur07.jpeg

New page

User:Mayur07

Mayur07 — Fri, 01 May 2026 09:47:37 GMT

Created page with "== OSGeo Member == {| class="wikitable" |- | '''Name:''' || Mayur Galhate |- | '''Job Title:''' || Student |- | '''Company:''' || |- | '''Address:''' || CSMSS Chh. Shahu Col..."

New page

== OSGeo Member ==

{| class="wikitable"
|-
| '''Name:''' || Mayur Galhate
|-
| '''Job Title:''' || Student
|-
| '''Company:''' ||
|-
| '''Address:''' || CSMSS Chh. Shahu College of Engineering
|-
| '''City:''' || Chh. Sambhajinagar
|-
| '''State:''' || Maharashtra
|-
| '''Country:''' || India
|-
| '''Local Chapter:''' || India
|-
| '''Email:''' || galhatemayur@gmail.com
|-
| '''Phone:''' || +91-9588687534
|-
| '''Instant Messaging:''' ||
|-
| '''Website:''' ||
|-
| '''Language(s):''' || English, Hindi
|-
| '''Personal Description:''' ||
Third-year B.Tech CSE student. Plan to implement the Maximum Weighted Matching algorithm for efficient graph optimization and integration into pgRouting as part of GSoC 2026.
|}

User:Mayur07

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Google Summer of Code 2026 Accepted

Krashish8 — Thu, 30 Apr 2026 17:12:42 GMT

Created page with "<center> 400px|link=https://developers.google.com/open-source/gsoc/ @ Image:Osgeo-logo.png|300px|link=http://www.osgeo.o..."

New page

<center>
[[Image:GSoC2016Logo.jpg|400px|link=https://developers.google.com/open-source/gsoc/]] @ 
[[Image:Osgeo-logo.png|300px|link=http://www.osgeo.org]]
</center>

* Back to the main OSGeo [[Google Summer of Code 2026]] @ OSGeo wiki page.

== Accepted Proposals ==

This year OSGeo accepted 6 contributors working on the following [https://summerofcode.withgoogle.com/programs/2026/organizations/osgeo-open-source-geospatial-foundation projects]:

{|class="wikitable sortable" border="2" cellspacing="0" cellpadding="4" rules="all" style="margin:1em 1em 1em 0; border:solid 1px #AAAAAA; border-collapse:collapse; background-color:#D7E3D1; font-size:95%; empty-cells:show;"
|'''Project Logo'''
|'''Community'''
|'''Project'''
|'''Student'''
|'''Primary mentor'''
|'''Secondary mentor(s)'''
|'''Wiki page'''
|'''Repository'''
|-
|[[Image:Logo-istSOS.png|40px|center]]
|istSOS
|Time-Travel Data Access and Versioning UI for istSOS Web Administration
|Bhudev Bhanpuriya
|[[Daniele_Strigaro|Daniele Strigaro]]
|[[User:Maxi|Massimiliano Cannata]], Claudio Primerano
|
|
|-
|-
|[[Image:Logo-istSOS.png|40px|center]]
|istSOS
|istSOS Role-Based Web Administration
|Kinshuk Sanand
|[[User:Maxi|Massimiliano Cannata]]
|[[Daniele_Strigaro|Daniele Strigaro]], Claudio Primerano
|
|
|-
|-
|[[Image:Pgrouting-logo.png|40px|center]]
|pgRouting
|Implementing the Maximum Weighted Matching Algorithm for pgRouting
|Mayur Galhate
|[[User:Krashish8|Ashish Kumar]]
|[[User:Cvvergara|Vicky Vergara]]
|
|
|-
|-
|[[Image:Pgrouting-logo.png|40px|center]]
|pgRouting
|Implement Make Biconnected Planar and Make Maximal Planar Algorithms for pgRouting
|Mohit242-bit
|[[User:Cvvergara|Vicky Vergara]]
|[[User:Robe|Regina Obe]]
|
|
|-
|-
|[[Image:Pgrouting-logo.png|40px|center]]
|pgRouting
|Implementing Planar Face Extraction and K-Core Decomposition Algorithms for pgRouting
|sakir05
|[[User:Robe|Regina Obe]]
|[[User:Cvvergara|Vicky Vergara]]
|
|
|-
|-
|[[Image:Logo-istSOS.png|40px|center]]
|istSOS
|istSOS Metadata Connector for Data Spaces and STAC
| Vishmayraj
|Claudio Primerano
|[[User:Maxi|Massimiliano Cannata]], [[Daniele_Strigaro|Daniele Strigaro]]
|
|
|-

|}

[[Category:Google Summer of Code]]

Nederland/Foss4GNL2026

Geejee — Wed, 29 Apr 2026 19:40:47 GMT

Promotie

Board Meeting 2026-04-28

Kalxas — Tue, 28 Apr 2026 18:13:45 GMT

Minutes

Nederland/Foss4GNL2026

Leonmvd — Tue, 28 Apr 2026 17:42:56 GMT

IJsbreker partij

@@ Line 32: / Line 32: @@
 * EGU 2023 [https://wiki.osgeo.org/wiki/EGU_Townhall_2023 EGU 2023: Townhall Event] [https://wiki.osgeo.org/wiki/EGU_DataHelpDesk_2023 Data Help Desk Participation]
 * EGU 2024 [https://wiki.osgeo.org/wiki/EGU_Townhall_2024 EGU 2024: Townhall Event] [https://wiki.osgeo.org/wiki/EGU_DataHelpDesk_2024 ESIP Open Science & Data Help Desk]
 [[Category: EGU Townhall]]

@@ Line 242: / Line 242: @@
 ==== Lokaal/regionaal ====
 * Geoserver bij Waterschap Hunze en Aa's: https://opendata.hunzeenaas.nl/geoserver/web/?wicket-crypt=dbqx7XY5d9I
 ** (maar ook https://hunzeenaas.maps.arcgis.com/home/index.html)

@@ Line 408: / Line 408: @@
 ** Vragen in goede banen leiden
 * Aanspreekpunt voor cateraar etc.
-* Fotografen
+* Fotografen gedurende event
-** gedurende event
+* Groepsfoto
-** en groepsfoto (vanaf Martinitoren? normaal geopend van 11-17u). Let op: markt op Grote Markt tot 18:00u
+** (vanaf Martinitoren? normaal geopend van 11-17u).
 == Na afloop ==

@@ Line 81: / Line 81: @@
 ** hoeveel kost dat?
 ** in Gronings en OSGeo groen
 == IJsbreker partij ==
@@ Line 169: / Line 177: @@
 * Open source variant van https://aardrijkskunde.pleio.nl/news/view/fb03b2a0-b816-4087-b843-fac2931d59b3/les-gis-in-werking-duurzaamheid-in-jouw-gemeente-onderzoeken
 ==== Onderzoek ====
@@ Line 299: / Line 310: @@
 * 15:50 Parallel A3 x 5 (ivm setting stage for final wrap-up)
 * 16:15 Keynote #2
-−
 * '''Timeline'''
@@ Line 398: / Line 410: @@
 * Fotografen
 ** gedurende event
-** en groepsfoto (vanaf Martinitoren? geopend van 11-17u)
+** en groepsfoto (vanaf Martinitoren? normaal geopend van 11-17u). Let op: markt op Grote Markt tot 18:00u
 == Na afloop ==

@@ Line 354: / Line 354: @@
 * '''Timeline'''
 ** begin april: repo voor website maken (=clone vorig jaar)
-** begin april: save the date (via bovenstaande kanalen)
+** <s>begin</s> 22 april: save the date (via bovenstaande kanalen)
-** medio april: call for presentations (aankondiging via kanalen, CfP zelf op website & PreTalx)
+** <s>medio</s> 28 april: call for presentations (aankondiging via kanalen, CfP zelf op website & PreTalx)
 == Sponsoring ==

@@ Line 66: / Line 66: @@
 |[[User:Robe|Regina Obe]]
 |[[User:Cvvergara|Vicky Vergara]]
+|https://github.com/pgRouting/pgrouting/wiki/GSoC-2026-Planar-Face-Extraction-and-K%E2%80%90Core-Decomposition
+|https://github.com/sakirr05/GSoC-pgRouting
 |-
 |-

@@ Line 56: / Line 56: @@
 |[[User:Cvvergara|Vicky Vergara]]
 |[[User:Robe|Regina Obe]]
+|hhttps://github.com/pgRouting/pgrouting/wiki/GSoC-2026-Make-Biconnected-Planar-and-Make-Maximal-Planar
+|https://github.com/Mohit242-bit/GSoC-pgRouting
 |-
 |-

@@ Line 1: / Line 1: @@
 {{OSGeo Member
-|name = Mohit Rawat
+|Name=Mohit Rawat
-|image =
+|JobTitle=Student
-|jobtitle = Student
+|Address=Pimpri Chinchwad College of Engineering
-|address = Pimpri Chinchwad College of Engineering
+|Country=India
-|city = Pune
+|State=Maharashtra
-|state = Maharashtra
+|City=Pune
-|country = [[India]]
+|Coordinate=18.6298, 73.7997
-|localchapter = [[India]]
+|LocalChapter=India
-|email = mohit25rawat@gmail.com
+|Email=mohit25rawat@gmail.com
-|phone = +91 8766545911
+|Phone= +91 8766545911
-|languages = English; Hindi
+|Languages=English; Hindi; Marathi
-|description =
+|Info=
- Second-year B.Tech student in Computer Science and Engineering at Pimpri Chinchwad College of Engineering, Maharashtra, India.
+* Second-year B.Tech student in Computer Science and Engineering at Pimpri Chinchwad College of Engineering (PCCOE), Pune, Maharashtra, India.
-* Preparing for Google Summer of Code 2026 with a plan to implement the Make biconnected and Make maximal planar algorithms for efficient planar modules.
+* Working on graph planarity algorithms for pgRouting — specifically the Make Biconnected Planar and Make Maximal Planar algorithms to extend pgRouting's graph processing capabilities.
-* Interested in Algorithms, DSA and learning new tools.
+* Aspiring GSoC 2026 contributor under OSGeo, with a focused proposal on planar graph construction and biconnectivity for real-world routing networks.
-* Goal: To become a long-term OSGeo contributor and build scalable geospatial solutions.
+* Passionate about competitive programming, data structures, and building efficient algorithmic solutions for geospatial problems.
 }}

@@ Line 46: / Line 46: @@
 |[[User:Krashish8|Ashish Kumar]]
 |[[User:Cvvergara|Vicky Vergara]]
+|https://github.com/pgRouting/pgrouting/wiki/GSoC-2026-Maximum-Weighted-Matching-Algorithm
+|https://github.com/mayurgalhate/GSoC-pgRouting
 |-
 |-

@@ Line 1: / Line 1: @@
-== OSGeo Member ==
+{{OSGeo Member
-{| class="wikitable"
+'''OSGeo Experience and Roles:'''
-|-
-| '''Name:''' || Mayur Galhate
+[[File:OSGeo_User.png]] [[File:OSGeo_Coder.png]]
-|-
-| '''Job Title:''' || Student
+[[Category:OSGeo_Member]]

@@ Line 10: / Line 10: @@
 #* [[Board_Meeting_2026-03-31]]
 # FOSS4G 2025 Proceedings. Suggested actions:
 # OSGeo account and projects on GitHub - (Luís Moreira de Sousa)
 # Impact of LLMs on OSS - (Luís Moreira de Sousa)
 # FOSS4G Hiroshima 2026 Update - (Hiroshima LOC)
 # Ambassador Programme
 # ''Add your topic here. Please '''include what you expect from the board''', and include ''(your name in brackets)''!''
@@ Line 24: / Line 18: @@
 == Minutes ==
-* Presiding:
+* Presiding: Jeroen
-* Scribing:
+* Scribing: Angelos
-* Attending:
+* Attending: Joana, Angelos, Jeroen, Mike
-* Guests:
+* Guests: Luís Moreira de Sousa, Nobusuke Iwasaki
 === Actions ===

@@ Line 64: / Line 64: @@
 * Netwerk
 ** Wifi voor 170 personen
-** Of is er bekabeld netwerk? dan zelf routers regelen?
+** <s> Of is er bekabeld netwerk? dan zelf routers regelen?</s> bekabeld is geen optie voor bezoekers
 === Aankleding van zalen en mensen ===
@@ Line 84: / Line 89: @@
 ** https://tgatvangroningen.nl/cafe-huren-besloten-feesten/
 ** https://hetpakhuisgroningen.nl/arrangementen/
 ** of op de Foss4G locatie (House of Connections) zelf?
 * suggesties van Alice:
@@ Line 236: / Line 242: @@
 ** https://www.groningen-seaports.com/
 ** Lijkt nu vooral een AGOL-club
 * Gasunie?
@@ Line 356: / Line 365: @@
 * OV
 ** 2 uur vanaf A'dan/Utrecht/Arnhem/Enschede, 3 uur vanaf Eindhoven/Rotterdam
-** Geen bussen meer naar de Grote Markt
+** Geen bussen meer naar de Grote Markt, wel naar Zuiderdiep of Sint-Jansbrug (500m)
 ** Zo te zien geen gedoe met spoorwerkzaamheden: https://www.prorail.nl/verhalen/waar-we-het-voor-doen/lijst-met-werkzaamheden
 * '''Timeline'''