Praveen Kalura
@praveenkalura.bsky.social
240 followers 900 following 59 posts
Hydrology • Remote Sensing • Mountains • Climate Justice • SDGs • Climate Change • Himalayas • Rural Development • Migration • WebGIS • Water Accounting • Mountain Disasters https://bio.link/praveenkalura Indian Institute of Technology Roorkee, India
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praveenkalura.bsky.social
This article which I wrote in 2023 on innovative idea by Sonam Wangchuk which could have been transformational for remote area our our hilly state Uttarakhand. But look way India treats its innovative mind and force the talent to leave the country causing the brain drain.

medium.com/@praveenkalu...
From Obstacle to Opportunity: How India’s Mountain Top Optical Communication Technology is…
Welcome to a story of innovation and inspiration, where we explore India’s unique technology that is transforming the way remote areas…
medium.com
praveenkalura.bsky.social
Pre-event (13 Jun 2024) and post-event (7 Aug 2025) satellite images of Dharali, Uttarkashi, India reveal how a sudden cloudburst unleashed mudflows that blanketed the Bhagirathi and Kheer Gad channels in thick grey sediment, erasing roads, orchards and buildings. #Disaster #Flood #ISRO #Cloudburst
Pre-event (13 Jun 2024) and post-event (7 Aug 2025) satellite images of Dharali, Uttarkashi, India reveal how a sudden cloudburst unleashed mudflows that blanketed the Bhagirathi and Kheer Gad channels in thick grey sediment, erasing roads, orchards and buildings. #Disaster #Flood #GLOF #Cloudburst
praveenkalura.bsky.social
Aug 5th 2025, flash floods due to cloudburst in Uttarakhand, India represent a tragic and complex natural disaster, highlighting the vulnerability of mountainous regions to extreme weather events. The vulnerability to extreme weather events demands urgent focus on resilient infrastructure and EWS.
praveenkalura.bsky.social
After AlphaEarth Foundations newly launched Geospatial Reasoning by Google. This is a collection of AI models designed to solve complex spatial problems. From predicting weather patterns to forecasting floods and planning urban development. #RemoteSensing #GIS
research.google/blog/geospat...
praveenkalura.bsky.social
Google's Satellite Embedding dataset offers 64D vectors capturing land dynamics globally. We're applying it in Earth Engine for crop classification for India, mapping agricultural patterns with high precision. #Geospatial #Agriculture #India #RemoteSensing #AI

deepmind.google/discover/blo...
AlphaEarth Foundations helps map our planet in unprecedented detail
New AI model integrates petabytes of Earth observation data to generate a unified data representation that revolutionizes global mapping and monitoring
deepmind.google
praveenkalura.bsky.social
India-US space collaboration hits new heights! The $1.5B NISAR satellite, jointly developed by ISRO & NASA, launched today aboard GSLV F-16 — set to scan the entire Earth every 12 days, aiding agriculture, disaster response & climate research
#EarthObservation #RemoteSensing
praveenkalura.bsky.social
XAI: a magnifying glass for AI in geoscience
XAI enhances understanding of geoscience AI systems by revealing data imperfections, such as spurious correlations, and pinpointing model limitations, including sensitivity to minor image variations in RS applications.
www.nature.com/articles/s41...
praveenkalura.bsky.social
Concerning trend shown in the Earth Overshoot Day chart (1971-2025). The date moves earlier each year, with 2025 at 1.8 Earths indicating unsustainable resource use. Over-consumerism is a key driver. Super rich should reduce their carbon footprint.
#EarthOvershootDay #ClimateChange #ClimateCrisis
praveenkalura.bsky.social
Our latest Hydrological Processes study improves hydrologic model calibration using bias-insensitive metrics of spatial patterns & temporal dynamics of GLEAM ET and limited streamflow data. TOPSIS selects optimal strategies transparently. #RemoteSensing #GLEAM onlinelibrary.wiley.com/doi/10.1002/...
praveenkalura.bsky.social
I’m having trouble separating natural forests from plantations in my LULC maps using GEE—they often get merged into same class.I want to separate them using unsupervised classification only. What additional data, indices or processing steps would you recommend to distinguish them more reliably?
Reposted by Praveen Kalura
prash-singh.bsky.social
Posting it on Bluesky to save the post:
My grandfather built motors that powered big machines. In a lab not so different from his workshop, my colleagues and I uncovered the assembly of the bacterial motor. www.nature.com/articles/s41... @natureportfolio.bsky.social #MolecularNodes #Science #STEM
praveenkalura.bsky.social
Just discovered the “Insect Hotel” – logs drilled with varied-diameter holes to create nesting sites for solitary bees, wasps, ladybugs & other beneficial insects. Boosts pollination, natural pest control & local biodiversity.
Photo Credit: Pujan Thapa
praveenkalura.bsky.social
While analyzing FAO WaPOR Biomass data, I noticed a striking pattern along a river: one bank shows high vegetation growth, the other much lower. Remote sensing (RS) data reveals these stark differences in Total Biomass Productivity (TBP), possibly due to irrigation, soil type, or groundwater. #IWMI
praveenkalura.bsky.social
Our latest study reveals sustainable grazing strategies for semi-arid rangeland. We recommend an enhancement of infrastructure and market integration, coupled with specific zoning as the prerequisite sustainable land management practices. #LDD #SDGs
Link: onlinelibrary.wiley.com/doi/10.1002/...
Integrating GIS and Multi-Criteria Analysis for Sustainable Livestock Grazing: A Holistic Assessment of Biophysical and Socio-Economic Determinants in Semi-Arid Dawa Watershed of Ethiopia
Brook Legese, Praveen Kalura, Arega Degife, Galma Godana, Jida Chamara
First published: 08 June 2025 https://doi.org/10.1002/ldr.5658
praveenkalura.bsky.social
Most rivers, especially in remote or rural areas, have no streamflow gauges. That makes it hard to predict floods, manage water or plan infrastructure. Researchers use LSTM to estimate upstream flow based on observed downstream flow. @ciroh.bsky.social

awi.ua.edu/news/machine...
praveenkalura.bsky.social
Recently attended training at National Institute of Hydrology Roorkee on the EQIPA platform, organized by the World Bank. EQIPA is a web-based tool utilising satellite data to evaluate irrigation performance via ET analysis, providing critical insights for optimizing water use in agriculture.
#RSGIS
praveenkalura.bsky.social
India’s suspension of the Indus Waters Treaty sparks debate. Hydro expert Iftikhar Drabu says reviewing the treaty is key due to climate change & population growth, but storing water in J&K rivers faces challenges like topography & silting. #WaterManagement #IndusWatersTreaty #JammuKashmir #Pahalgam
Exclusive: IWT Needs Review But Storing Water In Jammu Kashmir Rivers To Have Implications, Says Top Hydro Expert
A noted expert in the hydro sector, Iftikhar Drabu, in an exclusive interview with ETV Bharat, talks about the practicality of storing water.
www.etvbharat.com
Reposted by Praveen Kalura
milos-makes-maps.bsky.social
🌄 Master the Art of Relief Maps with Tanaka Highlights!

Discover how to transform your geospatial data into stunning contour maps and 3D terrains using the Tanaka method.

👉 Watch now:
🔗 youtu.be/q4GIQGRnTNI
Master the Art of Relief Maps: Tanaka Highlights Unveiled!
YouTube video by Milos Makes Maps
youtu.be
praveenkalura.bsky.social
Check out this HydroLearn course by Prof. Huidae Cho (NMSU) and Prof. Fahmidah Ashraf (Bradley Univ)! Perfect for hydrology students, it covers machine learning for flood inundation mapping and sustainable vs. resilient bridge design. #Hydrology #MachineLearning
edx.hydrolearn.org/courses/cour...
Flood Inundation Mapping Using Machine Learning for Sustainable vs. Resilient Design
This module focuses on teaching the knowledge and technical skills related to flood inundation mapping and its impact on designing resilient and sustainable hydraulic infrastructure.
edx.hydrolearn.org
praveenkalura.bsky.social
Biomass satellite launched by ESA on April 29, measures forest biomass using P-band radar, aiding climate & carbon cycle research. This mission, part of ESA’s FutureEO programme, will address significant uncertainties in carbon stocks & fluxes, essential for climate change mitigation. #ESA #Biomass