176 Open source projects that are alternatives of or similar to biodivMapR

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

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

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

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

a deep model that segments water on multispectral images

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

The STARFM fusion model for Python

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

The Catalogue of Life

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

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

A U-Net for solar panel identification and segmentation

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

We’ve built a plug’n play Operation System (based on Debian Linux) with all the freely and openly available SAR processing software. No knowledge of installation steps needed, just download and get started with SAR data processing. SARbian is free for use in research, education or operational work.

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

An open-source semi-automated processing chain for urban OBIA classification.

🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.

Distributed Scalable Geospatial Data Server

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

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

GNparser normalises scientific names and extracts their semantic elements.

GBIF Python client

Python client for iNaturalist

Awesome Spectral Indices in Python.

Earth Observation Data Access Gateway

A PyTorch collection of semantic segmentation tools.

trends.earth - measure land change

Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

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

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

⚠️ ARCHIVED ⚠️ Read Darwin Core Archive files

Map species occurrence data

Daily geospatial links curated by Raf Roset

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

Python scripts for creating time lapse videos and gifs from Sentinel-2 images

Search, download, and preprocess Landsat imagery 🛰️

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

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

Interface to the World Database on Protected Areas

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

OneZoom Tree of Life Explorer

Bio Balance Detector's products aim to show the weak electromagnetic fields around every living being (including plants, animals and humans) and display it in a heat-map like hyper-spectral image.

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

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

An interactive GUI for WhiteboxTools in a Jupyter-based environment

Forecasting wildfire danger using deep learning.

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

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.

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

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

Tools for detecting deforestation and forest degradation

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

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

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

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.

Urban change model designed to identify changes across 2 timestamps

MODIS Assimilation and Processing Engine

QGIS 2 plugin for applying change detection algorithms on high resolution satellite imagery

Remote Sensing for Movement Ecology