162 Open source projects that are alternatives of or similar to deepwatermap

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery

Pan-sharpening in the Earth Engine code editor

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

A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.

The STARFM fusion model for Python

Example JavaScript source code for ArcGIS imagery apps (Landsat Explorer and Sentinel Explorer) that you can expand or customize.

Satellite image processing pipeline to classify land-cover and land-use

Search, download, and preprocess Landsat imagery 🛰️

biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

Earth Observation Data Access Gateway

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Very simple API to download Landsat [1-5, 7, 8] data from Google

Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

🔍 🌐Query and Order Landsat Surface Reflectance data via ESPA

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

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

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

Xarray backend to Copernicus Sentinel-1 satellite data products

A python library for geo-spatial processing and machine learning

Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.

Educational Resources on Neural Networks for Ecology and Remote Sensing

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.

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

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

Distributed Scalable Geospatial Data Server

Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University. They include the updates I made for the spring 2020 and fall 2020 semesters.

Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

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

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

CARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.

🛰️ Python library and CLI tools for processing geospatial imagery for ML

a deep-learning-based river centerline extraction model

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

Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

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

ArcGIS Python Toolbox for WhiteboxTools

A U-Net for solar panel identification and segmentation

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

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

Open source remote sensing analysis tool

An interactive GUI for WhiteboxTools in a Jupyter-based environment

Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

A collection of Earth Engine Apps created using geemap, voila, and heroku

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.

SIAC GEE version

A python package that extends Google Earth Engine.

Multi-Label Remote Sensing Image Retrieval By Using Deep Features

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

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

Satellite image time series in R

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

Forecasting wildfire danger using deep learning.

Google Earth Engine application that finds Sentinel-2 images that are cloud-free in a particular area of interest.