GIS4U Network

Remote Sensing and GIS Forum

[GIS4U Network @Gis4uNetwork]

Just upgrade forum script to latest version... Hope all bug gone. Enjoy

[Md Mijanur Rahman🛰️🗺️🛰️ @GISRSStudyHacks]

Climate Data Analysis using Google Earth Engine & Python | Remote Sensing Tutorial.
Tutorial link: https://t.co/VuJdLaOpmF
Registration link:
https://t.co/i4EFoxX5HU
#googleearthengine #gee #ClimateActionNow

[Remote Sensing MDPI @RemoteSens_MDPI]

🌊👇 Enhancing #Subsurface #Phytoplankton Layer Detection in #LiDAR Data through Supervised #MachineLearning Techniques

✍️ Chunyi Zhong et al.
🔗 https://t.co/gZ4VlwGLe7

[Remote Sensing MDPI @RemoteSens_MDPI]

🌍🛰️ A Multi- #Satellite #SBAS for Retrieving Long-Term #Ground #Displacement Time Series

✍️ Doha Amr et al.
🔗 https://t.co/YWDTTbl0hT

[Md Mijanur Rahman🛰️🗺️🛰️ @GISRSStudyHacks]

Flood Inundation or Water Logging Mapping using GEE and ArcGIS
Tutorial Link: https://t.co/JEhHrvN0sB

[Remote Sensing MDPI @RemoteSens_MDPI]

👋👋 #Identification of Dominant #Species and Their Distributions on an Uninhabited Island Based on Unmanned Aerial Vehicles (#UAVs) and #MachineLearning Models

✍️ Jinfeng Wu et al.
🔗 https://t.co/g4k9qNWWlY

[Geo-spatial Information Science @GsisOffice]

Generating True Digital Orthophoto Maps (#TDOMs) has been a challenge, especially with complex #terrains. Here's a breakthrough!The Ortho-NeRF approach uses Neural Radiance Field to create TDOMs without prior 3D #geometry info, outperforming!#UAV
☞:
https://t.co/wdCzl933yV

[Remote Sensing MDPI @RemoteSens_MDPI]

💧💧 Refining #ICESAT2 ATL13 #Altimetry Data for Improving #Water Surface #Elevation Accuracy on #Rivers

✍️ Yun Chen et al.
🔗 https://t.co/KPcIwqM1ZY

[Md Mijanur Rahman🛰️🗺️🛰️ @GISRSStudyHacks]

Google Earth Engine Tutorial: How to Filter and Display Satellite Imagery in Google Earth Engine?
Tutorial Link: https://t.co/SUbuG8niqJ
#GoogleEarthEngine #RemoteSensing #GIS #GeospatialAnalysis #EarthObservation #GEETraining #PythonForGIS #JavaScriptForGIS #NonCodersWelcome

[Prof. Ryan Katz-Rosene @ryankatzrosene]

“Since 2002, 75% of the population lives in 101 countries that have been losing freshwater water. Furthermore, the continents now contribute more freshwater to sea level rise than the ice sheets, and drying regions now contribute more than land glaciers and ice caps. Urgent action is required to prepare for the major impacts of results presented.”

[Remote Sensing MDPI @RemoteSens_MDPI]

🌳🏙️🌳 Estimating #Urban #Forests #Biomass with #LiDAR by Using Deep Learning Foundation #Models

✍️ Hanzhang Liu et al.
🔗 https://t.co/BsOHb7bK7w

[Matt Dancho (Business Science) @mdancho84]

Logistic Regression is the most important foundational algorithm in Classification Modeling.

In 2 minutes, I'll crush your confusion.

Let's dive in:

[Md Mijanur Rahman🛰️🗺️🛰️ @GISRSStudyHacks]

Land surface temperature LST monitoring from Landsat satellite imagery | Urban Heat Island map
Tutorial link: https://t.co/7i5ZUO7lhi
visit our website: https://t.co/i4EFoxX5HU
#LandSurfaceTemperature
#UrbanHeatIsland
#LandsatImagery
#RemoteSensing
#GoogleEarthEngin

[Geography Realm @Geographyrealm]

Learn how to find and use building footprint data from OpenStreetMap to create a 2.5D map in ArcGIS Pro.
#GIS #arcgis

https://t.co/R3bEfO5RAR

[Remote Sensing MDPI @RemoteSens_MDPI]

👉👉 #Lightweight and Stable Multi-Feature #Databases for Efficient #Geometric #Localization of Remote Sensing Images

✍️ Zilu Zhao et al.
🔗 https://t.co/4RKgZwKocn

[Remote Sensing MDPI @RemoteSens_MDPI]

👋👋 #Contrasting Changes of #Debris-Free #Glacier and Debris-Covered Glacier in Southeastern #Tibetan #Plateau

✍️ Chuanxi Zhao et al.
🔗 https://t.co/tKMOylzlo8

[PostgreSQL @PostgreSQL]

News: HypoPG 1.4.2 is out! https://t.co/k71CyKJsq4

[Copernicus EU @CopernicusEU]

🌋 Towering at 2,830m, Pico do Fogo dominates the Cape Verde island of Fogo 🇨🇻 - an active volcano last erupting in 2014.

🛰️ Captured by #Copernicus #Sentinel2 on 24 Feb, this #ImageOfTheDay reveals the island’s striking topography.

[Geography Realm @Geographyrealm]

The first global map of tidal marsh locations was developed using satellite-based imagery.

#geography

https://t.co/JaPNL7basF