Plot a range of values of a NDVI calculated in Google Earth Engine

Unlocking the Secrets of Green: Plotting NDVI Ranges in Google Earth Engine Ever wondered how scientists keep tabs on the health of our planet’s greenery from space? A big part of it involves something called the Normalized Difference Vegetation Index, or NDVI for short. Think of it as a report card for plants, telling us

Is it necessary to master openlayers to use geoserver?

GeoServer and OpenLayers: How Much of a Mapping Whiz Do You Really Need to Be? So, you’re diving into the world of geospatial data and web mapping, and GeoServer has caught your eye. Excellent choice! It’s a workhorse for serving up maps online. But then you hear about OpenLayers, and the question pops up: “Do

Exporting layer extent information for 400 layers in QGIS?

Wrangling Layer Extents in QGIS: No Sweat Even with Hundreds of Layers Ever found yourself drowning in a sea of geospatial data, desperately needing to wrangle some sense out of it? I know I have! A common head-scratcher, especially when you’re knee-deep in QGIS, is figuring out how to snag layer extent info for a

Is there a geo-fence map of Apple’s or Google’s reverse geocoding?

Decoding the Mystery: Are There Secret Maps for Apple and Google’s Address Finders? Ever wonder how your phone magically knows the address of that random spot you’re standing in? That’s reverse geocoding in action – turning coordinates into a real address. Apple and Google are the big players here, but is there some kind of

How to get information about layer-structure on a WMS

Cracking the Code: Getting the Lowdown on WMS Layer Structure So, you’re diving into the world of Web Map Services (WMS), huh? Think of WMS as a way to grab map images over the internet, kind of like ordering pizza online, but for geospatial data. Now, if you want to actually use these map services

Multiple shapefile export to kml

Turning Shapefiles into Google Earth Goodness: A Human’s Guide to KML Okay, so you’ve got a bunch of shapefiles – those trusty workhorses of the GIS world. But what if you want to share that geographic data with, say, your non-GIS friends, or just visualize it in the oh-so-accessible Google Earth? That’s where KML comes

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