🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰

Husband + Father 🇱🇰 ↔️ 🇩🇪
Postdoctoral Researcher @presseunikassel
GIS Freelancer @jmatics
#UAVRemoteSensing | #RS4Agriculture

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

How does urbanisation shape agriculture? 🌆🌾
A study from @uni_kassel shows how farming landscapes shift along urban-rural gradients in Bengaluru 🇮🇳. Researchers used #RemoteSensing and #GIS analysis to uncover diverse patterns and non-linear changes.
https://t.co/tCw1Z8GFfR

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

Wow
https://t.co/cq9lUXtvyv

[Bert Temme @berttemme]

New blog: Getting started with GDAL https://t.co/uvUdx2jrQa

[Xiaoxiang ZHU @xiaoxiang_zhu]

Excited to dive into #MachineLearning for #EarthObservation? 🌱🌐 Check out this free MOOC: "Introduction to Machine Learning for Earth Observation" being part of #ML4Earth: https://t.co/6QBxxDZnJi
link to project: https://t.co/O83kqgFCzS

[Elsa Ordway @ElsaOrdway]

The #PANGEA draft white paper is out! Provide input by Nov 5 via @NASA TE: https://t.co/vdyrBRgjpl

Translated versions (French, Spanish, Portuguese, Indonesian) here: https://t.co/xcUQEUlYlZ

If selected, this campaign will be for the research community. Please share input!

[Nuwan I. Senaratna @nuuuwan]

For anyone interested, this is our new PM's PhD Thesis.

And as PhD theses go, it is actually quite readable, and even interesting. I've included a #ChatGPT4o Summary for the benefit of the lazy.

...

"Guardians of childhood: state, class and morality in a Sri Lankan bureaucracy"

@Dr_HariniA's PhD Thesis - @ucuqmu (2010)

https://t.co/x7loCqCtKS

...

1. Focus on the State Bureaucracy: The thesis explores the everyday practices and relationships in the Probation Unit of the Department of Probation and Child Care Services (DPCCS) in Sri Lanka. It examines how state bureaucrats interact with policies, development discourse, and their clients.

2. Development Discourse and Local Practice: The thesis highlights how global development discourses are translated into local practices by state employees, and how these practices are shaped by ideas of nationalism, class, and morality.

3. Class and Social Mobility: Employment in the state sector is seen as a key means of social mobility for the middle class in Sri Lanka. Bureaucrats navigate complex social hierarchies while maintaining their professional identity.

4. Bureaucratic Tensions and Conflicts: The thesis discusses tensions between state and non-state actors, especially with NGOs and development agencies. These tensions reflect broader social conflicts, including suspicion of Western influence in Sri Lankan politics.

5. Documentary Practices and Social Identity: The creation and use of official forms within the DPCCS are examined as part of the process through which state bureaucrats construct their social and professional identity.

6. Morality and Nationalism: The thesis describes how Sinhala Buddhist nationalism influences the everyday actions of middle-class bureaucrats. It also highlights concerns over moral decay in society, with bureaucrats expressing anxieties about rising individualism and materialism.

7. The Relationship with Clients: State employees' interactions with clients are shaped by ideas of appropriate behavior and respectability. Their work is also influenced by their perceptions of societal change, particularly regarding child protection and morality.

8. Power and Inequality: The thesis emphasizes how relationships of inequality and hierarchy shape bureaucratic practices. These relationships affect how development policies are implemented and transformed in practice.

9. The Ethnographic Approach: The thesis uses ethnography to provide a detailed account of the routines and processes within the state bureaucracy. This approach reveals the complexities and contradictions of development work in Sri Lanka.

10. Critical Reflection on Development: Amarasuriya critically reflects on the limitations of development interventions. She argues that understanding the broader social and political processes shaping development outcomes is crucial to improving interventions and making them more effective .

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

https://t.co/PraFFoE1GP

[Azzam Ameen @AzzamAmeen]

Official: Anura Kumara Dissanayake has won the 2024 Sri Lanka Presidential Election. He will be the 9th Executive President of Sri Lanka

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

#Kesbewa

[NewsWire 🇱🇰 @NewsWireLK]

Big losses for Sajith Premadasa in Kaduwela & Kesbewa

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

No official results of the first round were published. Even in the press conference they did not mention it. #Elections2024 #PresidentialElection2024 #SriLankaDecides #SriLankaPolitics

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

Nach Unruhen 2022: Präsidentenwahl in Sri Lanka https://t.co/HrdmADxloa

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

#Sentienl2C

[ESA Earth Observation @ESA_EO]

Signal acquired: nice to hear you @CopernicusEU #Sentinel2 C!

[Department of Geographical Sciences @umdgeography]

Join the 3rd International Quantitative Remote Sensing Summer School from July 10-17. Hosted virtually, it features global experts discussing the latest in remote sensing. Free to attend! #IntGeoCenter
https://t.co/dmU8g3sU8n

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

Glimpse from the 2nd day of #iamoForum24

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

Two fascinating talks related to land use change applications using #satellite #RemoteSensing data at #iamoForum24.

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

Work or #T20WorldCup or both?
#SLvsSA

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

@nandanamihindu Hope we can also see you from TV

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

🌿 Understanding model performance degradation is key to improving the generalisability of machine learning models for agricultural mapping. Future strategies must address these issues to enhance model accuracy across different domains. 🚜🔬 (6/6)

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

We are delighted to announce a new peer-reviewed publication from the @uni_kassel featuring the #SYMOBIO 2.0 project results. (1/6)

https://t.co/YFzVGeiDr3

[🛰️🛩️🗺️🌾🌱ⒿⒶⓎⒶⓃ 🇱🇰 @jayan_sri]

🔍 The no-transferability scenario showed high accuracy: 89.1% for RF and 89.9% for CNN. However, performance dropped significantly in transferability scenarios due to environmental and temporal differences. 📉🌍 (5/6)