Jarilla Remote Sensing

Monitoreo agricultura y ganadería de precisión, evaluación ambiental, emergencia agropecuaria, servicios ecosistémicos

[Jarilla Remote Sensing @JarillaRemote]

https://t.co/ApdxIoAQDd

[Horacio @ahbritos]

La agricultura con datos geográficos relevantes

[Jarilla Remote Sensing @JarillaRemote]

Probando las plataformas de IA con #python y @qgis

[Horacio @ahbritos]

Analizando NDVI con @qgis de ensayos de Fitosanitarios en Agricultura
@deepseek_ai anda muuyy bien, los códigos y explicaciones son simples y salen andando de una, @ChatGPT_LATAM es más rápido pero más enroscado y complejo, te amaga que te va a dar todo, pero te pide plata.

[Horacio @ahbritos]

Analizando NDVI con @qgis de ensayos de Fitosanitarios en Agricultura
@deepseek_ai anda muuyy bien, los códigos y explicaciones son simples y salen andando de una, @ChatGPT_LATAM es más rápido pero más enroscado y complejo, te amaga que te va a dar todo, pero te pide plata.

[ETSI Topografía, Geodesia y Cartografía - UPM @GeomaticaUPM]

🌍❤️¡Feliz Día del Topógrafo europeo y de la Geoinformación!.

#geomatica #geoespacial #geoinformacion

[Land & Carbon Lab @landcarbonlab]

🌱 Satellites easily track deforestation—but restoration? That’s been harder.

Restoration groups like Wells for Zoë now use open-source geospatial data to track progress & refine strategies—helping strengthen impact.

➡️ Learn more in our impact article: https://t.co/weAobd0540

[QField📳🗺️ @QFieldForQGIS]

Track positions in the background, even when your device is locked, for more efficient fieldwork. Enjoy seamless WebDAV folder integration, grid decorations, improved QFieldCloud downloads, and new plugin enhancements, that allow for example OpenStr...
https://t.co/qaXoQf7ntK

[Grupo Rio Seco @gruporioseco]

CULTIVOS DE COBERTURA | SIEMBRA AL VOLEO CON DRON EN CAMPOS DEL GRS.
Es una actividad que en distintas empresas del GRS se viene llevando a cabo desde hacer varios años. Pero en esta última campaña, lo novedoso es que se está realizando con dron.

[Rosana Ferrero 📈📊🙌 @RosanaFerrero]

📊🚀 Si te encanta el poder visual e interactivo de Tableau, te traigo su versión en R. 😱

✨ El paquete {GWalkR} es una herramienta interactiva que convierte tus dataframes en una interfaz visual estilo Tableau con solo arrastrar y soltar. Fácil e interactivo. 🧑‍💻

#dataviz

[Joachim Schork @JoachimSchork]

Regression outputs contain many different components, each providing crucial insights into the effectiveness and characteristics of the model.

The detailed explanation below will help you understand the various parts of the regression model output provided by R. From the formula used to the statistical significance of the coefficients, each element plays a key role in interpreting the overall performance and validity of the model.

✅ Call: Restates the regression formula and the data set used. Example: Modeling happiness with predictors (gdp, social, freedom, corruption) using data set my_data.

✅ Residuals: Differences between observed values and model predictions. Summary includes:
- Min and Max: Range of residuals.
- 1Q and 3Q: Middle 50% of residuals.
- Median: Middle value of the residuals. Close to 0 suggests accuracy.

✅ Coefficients: Provides estimates of the regression coefficients and their significance:
- Estimate: Impact of each predictor on the target variable. Example: Increase in gdp leads to a 0.25374 increase in happiness.
- Std. Error: Variability of each estimate.
- t value: Test statistic for the significance of each coefficient.
- Pr(>|t|): p-value for the t-test; values < 0.05 often indicate significant effects.

✅ Significance codes: Quick reference for significance levels next to the p-values.

✅ Residual standard error: Measure of the fit quality, indicating the average size of the residuals. Lower values suggest a better fit.

✅ Multiple R-squared: Proportion of variance in the target variable explained by the predictors. For instance, 82.51% in this model.

✅ Adjusted R-squared: Adjusts the R-squared to account for the number of predictors, providing a more accurate measure of model performance.

✅ F-statistic and its p-value: Tests if at least one predictor has a non-zero coefficient. A small p-value rejects the null hypothesis that all coefficients are zero, confirming the model’s significance.

Explore my webinar titled "Data Analysis & Visualization in R," where I demonstrate how to estimate linear regression models alongside other essential techniques.

See this link for additional information: https://t.co/xZl4UCUpHG

#RStudio #DataAnalytics #programmer #RStats #datastructure

[Jorge Mercau 🇦🇷 @JorgeLMercau]

#AgroEcosistemas
Intensificación mediante #Intersiembras

[Mathieu Gravey @mathieuGravey]

🚀 Open Earth Engine Toolbox V2 is Here! 🎉
Experience new improvements, integrated AI 🤖, and a redesigned background for better performance and fewer crashes! ⚡🚀
Check it out now: https://t.co/JhciT6Djar | https://t.co/QcrWk9Jeju
#EOchat #EarthEngine #AIEmpowered #GEE

[Remote Sensing MDPI @RemoteSens_MDPI]

🌳🌳 Robust Trend Analysis in #Environmental Remote Sensing: A Case Study of Cork #Oak #Forest Decline

✍️ Oliver Gutiérrez-Hernández and Luis V. García
🔗 https://t.co/afhWXkar8C

[Horacio @ahbritos]

TerrSet al igual que SAGA, es lo mejor en análisis Raster y no tenes que renegar con código

[Rosana Ferrero 📈📊🙌 @RosanaFerrero]

🎨🚀 USAS MAL LOS COLORES EN TUS GRÁFICOS Y NADIE TE LO HA DICHO 🚀🎨

Y las malas visualizaciones pueden sabotear tu mensaje sin que te des cuenta. 🔥

#stats #datascience #analytics #datavisualization #rstats #python
#DataViz #VisualizaciónDeDatos #StorytellingConDatos

[Remote Sensing MDPI @RemoteSens_MDPI]

🌿🌿 Noninvasive Early #Detection of #Nutrient Deficiencies in #Greenhouse-Grown #IndustrialHemp Using #Hyperspectral Imaging

✍️ Alireza Sanaeifar et al.
🔗 https://t.co/J9hk4tyajn

[Remote Sensing MDPI @RemoteSens_MDPI]

💧💧 Monitoring Harmful #Algal #Blooms and #Water Quality Using #Sentinel3 OLCI Satellite Imagery with #MachineLearning

✍️ Neha Joshi et al.
🔗 https://t.co/eQvfzNwJV2

[ARCHIVED - NASA Landsat @NASA_Landsat]

#DYK grasslands are the single largest land cover on Earth’s ice-free surface?

They store 34% of the world’s terrestrial carbon stock and provide critical habitat to large mammals. 🐘

Despite their importance, these ecosystems are often unprotected.

[Remote Sensing MDPI @RemoteSens_MDPI]

🍇🍇 From Space to Field: Combining #Satellite, #UAV and #Agronomic Data in an Open-Source Methodology for the Validation of #NDVI Maps in Precision #Viticulture

✍️ David Govi et al.
🔗 https://t.co/ex65j4cui1

[Jarilla Remote Sensing @JarillaRemote]

Mapeo de Cobertura de Bosques Nativos con productos de Amplitud y Fase del Radar Argentino Banda L #SAOCOM una gran oportunidad para monitorear suelos y biomasa de bosques en los extensos bosques áridos y semiáridos de Argentina.

[Horacio @ahbritos]

Publicamos nuestras pruebas para detectar cobertura de bosques nativos con el SAR Argentino orgullo nacional. @CONAE_Oficial @SecreTurAmbDep
Use of Argentine SAOCOM SAR polarimetric L-band satellites for classification of arid and semiarid native forests https://t.co/zl83pJ54BN