237 Open source projects that are alternatives of or similar to rsMove

Save the world by using Eco Browser

TRex, a fast multi-animal tracking system with markerless identification, and 2D estimation of posture and visual fields.

Pan-sharpening in the Earth Engine code editor

A U-Net for solar panel identification and segmentation

A python tool to perform deep learning experiments on multimodal remote sensing data.

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

No description or website provided.

ChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)

Google Earth Engine side projects and tutorial scripts

This is an collection of blog posts turned into a course format

geobits: ArUco Ground Control Point Targets and Detection for Aerial Imagery (UAV/MAV).

Data Cleaning with OpenRefine for Ecologists

A CLI for downloading, processing, and making a mosaic from Sentinel-1, -2 and -3 data

Package with functions to handle network data and run Infomap, inspired by ecological networks

Xarray backend to Copernicus Sentinel-1 satellite data products

A ninja python package that unifies the Google Earth Engine ecosystem.

deck.gl layers and WebGL modules for client-side satellite imagery analysis

A collection of 300+ examples for using Earth Engine and the geemap Python package

The back-end of cross-modal retrieval system，wihch will contain services such as semantic location .etc

Tools for working with GTFS public transit data in ArcGIS

Video and Image Analytics for Multiple Environments

Blockchain for planetary regeneration

An introductory course on using R for geographic data visualisation and analysis (in Russian).

Python tools for spatial trajectory and time-series data analysis

Awesome Spectral Indices in Python.

Introduction to Data Science with R

GBIF Python client

A spatial aware implementation of elliptical Fourier analysis

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

ArcGIS Python Toolbox for WhiteboxTools

Progression path for a GIS analyst who wants to become proficient in using Python for GIS: from apprentice to guru

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification (GRSL, 2017)

Earth Observation Data Access Gateway

Kernel Logistic Regression on Focal Mean Embeddings

Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data sc…

Package with spatial analysis and spatial prediction tools

a deep-learning-based river centerline extraction model

A PyTorch collection of semantic segmentation tools.

This program gets your external, & internal, IP addresses, checks them against your "saved" IP addresses and, if a difference is found, emails you the new IP(s). This is useful for servers at residential locations whose IP address may change periodically due to actions by the ISP.

A unified interface for simulations of the Bio-Energetic model on food webs

Circuitscape uses electronic circuit theory to solve problems in landscape ecology.

Radar using Red Pitaya for RF: using Raspberry Pi 3 for quad-core radar signal processing

R package for analysis and visualisation of biological signals in weather radar data

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

Self-paced tutorials that review key data literacy concepts and data analysis skills. Published materials can be found at:

No description or website provided.

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

Satellite image time series in R

sabre: Spatial Association Between REgionalizations

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

Daily geospatial links curated by Raf Roset

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

♻️ Aplicação web para coleta de resíduos de forma eficiente.

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

Implementation of ST-DBSCAN algorithm based on Birant 2007

SAR2SAR: a self-supervised despeckling algorithm for SAR images - Notebook implementation usable on Google Colaboratory