Dev tools · alternatives · 2026
24 alternatives to High-resolution surface analysis with Lidar data
High-resolution surface analysis with LiDAR data. Contribute to r-follador/delta-relief development by creating an account on GitHub.
High-resolution surface analysis with Lidar data is a tool for analyzing detailed surface information captured through Lidar technology. It is designed for researchers, engineers, and professionals who need to process… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1OS
Find information, resources and relevant links for mars26.com. This domain may be for sale.
2021 · mars26.com · its alternatives →
- 2

I've been working on this project for about 4 years. It began as terrain only because world wide elevation data was publicly available. I then added buildings from OpenStreetMap (crowd sourced) and more recently from Overture Maps data. Some computer vision/machine learning advancements [1] in the past few years have made it possible to estimate tree canopy heights using satellite imagery alone making it possible to finally add trees to the map. The data isn't perfect, but it's within +/- 3 meters of so. Good enough to give a general idea for any location on Earth. Happy to answer…
2024 · shademap.app · its alternatives →
- 3AR
2018 · tylermw.com · its alternatives →
- 4

- 5MD
2023 · louisquissetlabs.com · its alternatives →
- 6G3
I made a web app to generate 3D models of real places on earth from land cover and elevation data. Click anywhere on the map to get a polygon, and then click "generate". It should work at most scales, but if your watershed or region selection is too large, the result can be less exciting because it's so flat. As a warning, the 3D models can sometimes be too much for my phone. It's nicer on desktop. I'm still working better on mobile support. The land cover data I'm using gives a cool effect, but at some point I'd like to add in global imagery and clouds. The backend is a Python thread…
2025 · topography.jessekv.com · its alternatives →
- 7

We’re on a journey to advance and democratize artificial intelligence through open source and open science.
15d ago · huggingface.co · its alternatives →
- 8

Atlas is the AI-native GIS. Build maps, dashboards, and spatial workflows from a conversation — GIS-grade analysis, accessible to your whole team. Trusted by energy developers, asset managers, and field operations teams.
2024 · atlas.co · its alternatives →
- 9

High resolution elevation maps of the Cascade Volcanoes to hang on your wall. Bring home the places you enjoy the most.
2020 · ramblemaps.com · its alternatives →
- 10

Satellite imagery for dummies. Contribute to plant99/felicette development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 11
Deepen 4d▲70LiDAR Point level instance and semantic segmentation
2019 · deepen.ai · its alternatives →
- 12

The quickest and easiest territory mapping software that you ever used. Trusted by more than 1000 customers for data-driven decisions
2018 · oalley.net · its alternatives →
- 13S3
Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.
2018 · scaleapi.com · its alternatives →
- 14MP
2020 · felixpalmer.github.io · its alternatives →
- 15IE
2017 · mjmdavis.com · its alternatives →
- 16

Browser-Based Satellite Imagery Analysis Platform
Jan 2026 · offnadir-delta.com · its alternatives →
- 17

Any website's heatmap data is at your fingertips
2018 · its alternatives →
- 18

I'm not a geospatial expert — I work in AI/ML. This started when I was exploring LiDAR data with agentic assitince and noticed that different signal decomposition methods revealed different terrain features. The core idea: if you systematically combine decomposition methods (Gaussian, bilateral, wavelet, morphological, etc.) with different upsampling techniques, each combination has characteristic "failure modes" that selectively preserve or eliminate certain features. The differences between outputs become feature-specific filters. The framework tests 25 decomposition × 19 upsampling…
Jan 2026 · github.com · its alternatives →
- 19

Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast - onthegomap/planetiler
2021 · github.com · its alternatives →
- 20

Analysing satellite imagery of the Jan 2025 Southern California wildfires - xingyzt/fire
2025 · github.com · its alternatives →
- 21

X Inertial-aided Visual Odometry. Contribute to ucla-vision/xivo development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 22MA
The concept for metiq.space came after playing Global Magnates with friends and realizing how fragmented live global data is. ships, aircraft, satellites, ports, weather, hazards, infrastructure, cyber, and public datasets all exist, but they usually live in separate tools and maps. The goal was to build one interactive 3D globe where live public data could be visualized by latitude, longitude, and altitude. Surface data stays on the globe, while aircraft, satellites, and other above surface things can be represented in actual 3D space instead of being flattened onto a map. The outcome is an…
Jun 2026 · metiq.space · its alternatives →
- 23

This is a service I've built to provide equirectangular cloud maps of the whole Earth, updated every 3 hours, for free. It's based on infrared and visible light data from EUMETSAT, processed to enhance the clouds and try to reduce the impact of surface temperatures on the final image. I built it because it's surprisingly hard to find these kinds of images in a format that's useful to developers and hobbyists. I was building a 3D ISS tracker and wanted to include live clouds but couldn't find anything good, so I got sidetracked, and here we are.
2023 · github.com · its alternatives →
- 24

Data analysis that works for engineers. World-leading time series data analysis platform for engineering teams.
2020 · getmarple.io · its alternatives →
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