Ignacio Borlaf-Mena @borlafgis
PhD student at University of Alcalá working using optic and SAR data to study vegetation Joined May 2015-
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Ignacio Borlaf-Mena retweeted
📢Another big release from Land & Carbon Lab & Global Pasture Watch! 🌾First-ever global annual maps of short vegetation height (1–7m) at 30m res, 2000–2024. ➡️ Read the blog and access the data: bit.ly/3JPcbiY
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Ignacio Borlaf-Mena retweeted
Resulta cansino volver a leer tanto post y oir a tanto "experto" denigrando a "los pinos", acusándolos de no ser autóctonos, de no formar verdaderos bosques y de ser causantes y propagadores de incendios. Asi que me he animado a preparar este hilo sobre pinares ibéricos (1/n).
Ignacio Borlaf-Mena retweeted
Geosimulation Land Changes — QGIS Python Plugins Repository plugins.qgis.org/plugins/geosim…
Ignacio Borlaf-Mena retweeted
📊Access research-ready global climate data records! ESA’s Climate Change Initiative provides python code examples and extensive documentation to navigate our Toolbox. Get fast access to about 500 robust, validated satellite records via our Jupyter Lab. Start using this…
Ignacio Borlaf-Mena retweeted
The next Landsat vs Landsat Next. The Landsat Science Team’s perspective is all in this preprint. “The next Landsat: Mission turning point?” papers.ssrn.com/sol3/papers.cf…
Ignacio Borlaf-Mena retweeted
Happy to share a new lab @JGRBiogeo paper: "Drought Response in Three Conifer Species Detected by Sap Flow and Proximal Thermal Remote Sensing" led by the amazing @Daphnauni w/ @mostafajavadian others @UASNRE @UA_CALS agupubs.onlinelibrary.wiley.com/doi/10.1029/20…
Ignacio Borlaf-Mena retweeted
If you are preparing your bachelor statistics course and would like to add optional material for students to better understand statistics on a conceptual level (see topics in the screenshot) my free textbook provides a state of the art overview. lakens.github.io/statistical_in…
Ignacio Borlaf-Mena retweeted
The most honest math you'll ever use. 🤝 The Maximum Entropy Principle (MaxEnt) is a genius rule for modeling with incomplete data. It tells you to: ✅ Respect what you KNOW. 🚫 Assume nothing else.
Ignacio Borlaf-Mena retweeted
Esta es, por muchísimo,a la mejor guía interactiva que he visto acerca de Big O notation. Y es GRATIS No solo está explicado de forma súper sencilla, sino que te deja interactuar con la página que que puedas visualizar cada definición Una joya samwho.dev/big-o/
Ignacio Borlaf-Mena retweeted
Thousands of radar scans, unified as one dataset. In his latest post, Alfonso Ladino-Rincon introduces Radar DataTree: a model that makes radar data analysis-ready, scalable, and versioned for cloud workflows. earthmover.io/blog/radar-sca…
Ignacio Borlaf-Mena retweeted
We are now entering the L-band SAR era. Check to see if your study area is affected by Radio Frequency Interference (RFI) by looking at this paper by PhD student, Yuhang Wang, in my group. Download it FOR FREE before October 11, 2025. authors.elsevier.com/a/1leiV7qzT72T7
Ignacio Borlaf-Mena retweeted
Clear and interpretable decision tree models are essential for effectively communicating insights from machine learning projects. The supertree Python package excels at visualizing and analyzing decision trees and ensemble models like Random Forests and Gradient Boosting by…
Ignacio Borlaf-Mena retweeted
🌳🌳 #Estimation of #Forest Growing Stock #Volume with Synthetic Aperture #Radar: A Comparison of Model-Fitting Methods ✍️ Maurizio Santoro et al. 🔗 brnw.ch/21wV1YI
Ignacio Borlaf-Mena retweeted
Use of GEDI-derived canopy structural complexity metrics improves upscaling of flux tower data. GPP & ET increase with higher structural diversity. Ecosystems w/ complex structures are more resilient to drought. Our new RSE paper led by postdoc @jingyi_bu authors.elsevier.com/a/1lVkB7qzT72PJ
Ignacio Borlaf-Mena retweeted
A unifying framework for understanding how edge effects reshape the structure, composition and function of #forests 🌳🌲 📖 nph.onlinelibrary.wiley.com/doi/10.1111/np… #TansleyReview by Banbury Morgan and Jucker @wileyplantsci #PlantScience #biomass #foreststructure
Ignacio Borlaf-Mena retweeted
1/7 🛰️Can #AI unlock finance for nature restoration? 🌍 go.wri.org/ai-finance-for… Developed by @AIatMeta with input from @worldsresources, DINOv3 is a major leap forward for Earth observation data. Why? This new, open-source AI model has shown significantly improved performance…
Ignacio Borlaf-Mena retweeted
La Comisión Europea publica una guía sobre cómo trasladar la evidencia científica a los responsables públicos para que adopten mejores decisiones Sharing scientific evidence with policymakers rea.ec.europa.eu/publications/s…
Ignacio Borlaf-Mena retweeted
Is Python Code Sensitive to CPU Caching? #python lukasatkinson.de/2024/python-cp…
Ignacio Borlaf-Mena retweeted
nbdime: Tools for Diffing and Merging Jupyter Notebooks #python github.com/jupyter/nbdime
Ignacio Borlaf-Mena retweeted
this mini course is free btw: typecraft.dev/education/cour…
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Jonathan Chemla @jo_chemla
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Olivier D'Hondt 🛰�... @olivier_dhondt
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Yang Li @yang_li_leah
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Ruxandra Zotta @RuxandraZotta
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EOMasters @eomasters
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46K Followers 4K Following Associate Professor @UTKGeography | @Amazon Scholar | Talk about #opensource #geospatial #dataviz #EarthEngine
Integrated RS Studio @IRSS_UBC
4K Followers 2K Following The Integrated Remote Sensing Studio at the Faculty of Forestry of UBC, led by Prof Nicholas Coops 🇨🇦 🇳🇿 We have left X for BlueSky @irssubc.bsky.social
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29K Followers 2K Following “Controversial industry figure” and General Manager of Remote Sensing at @umbraspace. We operate a private constellation of radar spy satellites.
Zhe Zhu 🌎🛰️ @GERSLab
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Franz J Meyer @SARevangelist
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Dr Gareth Funning @gfun
4K Followers 456 Following Faculty @UCR_EP_Sci! He/him! Executive Editor @WeAreSeismica! 1st gentleman of American entomology, via @JenniferAHenke! Also at @gfun.bsky.social just in case!
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Tim Wright @timwright_leeds
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Max Lenormand @MaxLenormand
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Philippe.ciais @ciais_philippe
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Mostafa Javadian @mostafajavadian
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高田陽一郎 Youic... @yt_geodesy
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Isabella M Weber @IsabellaMWeber
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Jonathan Chemla @jo_chemla
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Sophy Yue Wu @YueSophy
8 Followers 78 Following 🛰️InSAR researcher/🌏Earth System Science 🏉UTA Center for Space Research 📡CAS, Suzhou Aerospace Information Research Institute
Leandro Leal Parente @l2ealparente
44 Followers 21 Following I'm a computer scientist with PhD in Environmental Sciences processing and analysing Earth observation and environmental data.
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Anne Wang 🌱 @happy99yueyue
360 Followers 833 Following Research fellow at the University of Melbourne. Interested in Remote Sensing for crop monitoring and vegetation stress in Precision Agriculture🌳.
Joana Cardoso-Fernand... @MicasJoana
345 Followers 262 Following Geologist| Assistant Researcher at FCUP ⚒️ 🇵🇹 🌍 🛰 #Geology #RemoteSensing #Petrography
Vincent Arel-Bundock @VincentAB
5K Followers 723 Following Prof in Montréal. Most tweets about R: marginaleffects, modelsummary, tinytable, countrycode, altdoc. @[email protected] https://t.co/uKmQqTufUL
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23K Followers 573 Following Maths, Physics,visualisations, challenges , Geogebra Expert The more of you follow me, the more materials there will be.....
Jose Luis Cañadas @joscani
2K Followers 1K Following mastodon user: @[email protected] web: https://t.co/AFZTtOCbn1 Estadístico granaino, vivo en Madrid (de momento). Usuario de R y de GNU/linux
Kilian Vos @_kvos
1K Followers 181 Following Remote Sensing, Machine Learning, Coastal, #opensource developer, #CoastSat, Coastal webGIS https://t.co/eGGJugJ2ia | alumni @UNSWWRL @EPFL_en
Dr JJ González Alem�... @glezjuanje
54K Followers 718 Following Dr. en Física; Meteorólogo Superior del Estado | Investigador @AEMET_Esp en ciclones/tormentas convectivas, modelización/dinámica atmosférica, cambio climático.
@jaffray.bsky.social @justinjaffray
2K Followers 1 Following turning to the succor of modern computing machines, let us renounce all analytic tools https://t.co/MnKRmumHeQ
WRB 2022 Soil Classif... @WRB2022
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Deepak Shaw @DShaw_Mangrove
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