moveVisAn R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.
Stars: ✭ 104 (+316%)
deep learning ecologyEducational Resources on Neural Networks for Ecology and Remote Sensing
Stars: ✭ 45 (+80%)
swaRmA R package to process and analyze collective behavior data
Stars: ✭ 22 (-12%)
rsgislibRemote Sensing and GIS Software Library; python module tools for processing spatial data.
Stars: ✭ 103 (+312%)
sdmTMB🌎 An R package for spatial and spatiotemporal GLMMs with TMB
Stars: ✭ 92 (+268%)
sarbianWe’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.
Stars: ✭ 49 (+96%)
pylandsatSearch, download, and preprocess Landsat imagery 🛰️
Stars: ✭ 49 (+96%)
speckle2voidSpeckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
Stars: ✭ 31 (+24%)
trends.earthtrends.earth - measure land change
Stars: ✭ 69 (+176%)
MERINGUEcharacterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
Stars: ✭ 33 (+32%)
satproc🛰️ Python library and CLI tools for processing geospatial imagery for ML
Stars: ✭ 27 (+8%)
deepwatermapa deep model that segments water on multispectral images
Stars: ✭ 81 (+224%)
pytorch-psetaePyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Stars: ✭ 117 (+368%)
carsCARS is a dedicated and open source 3D tool to produce Digital Surface Models from satellite imaging by photogrammetry.
Stars: ✭ 147 (+488%)
DSMSCN[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.
Stars: ✭ 63 (+152%)
gskyDistributed Scalable Geospatial Data Server
Stars: ✭ 23 (-8%)
pylandtempAlgorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
Stars: ✭ 110 (+340%)
awesome-spectral-indicesA ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Stars: ✭ 357 (+1328%)
ChangeDetectionRepositoryThis 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.
Stars: ✭ 311 (+1144%)
whiteboxguiAn interactive GUI for WhiteboxTools in a Jupyter-based environment
Stars: ✭ 94 (+276%)
routing-py🌎 Python library to access all public routing, isochrones and matrix APIs in a consistent manner.
Stars: ✭ 106 (+324%)
Start majaTo process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor
Stars: ✭ 47 (+88%)
spectralAwesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
Stars: ✭ 68 (+172%)
MetacommunityDynamics.jla julia libarary for simulating the dynamics of ecological communities across space
Stars: ✭ 14 (-44%)
programming-for-gis-and-rsMaterials 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.
Stars: ✭ 61 (+144%)
dfc2020 baselineSimple Baseline for the IEEE GRSS Data Fusion Contest 2020
Stars: ✭ 44 (+76%)
trexTRex, a fast multi-animal tracking system with markerless identification, and 2D estimation of posture and visual fields.
Stars: ✭ 46 (+84%)
dea-coastlinesExtracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale
Stars: ✭ 24 (-4%)
ChangeOSChangeOS: Building damage assessment via Deep Object-based Semantic Change Detection - (RSE 2021)
Stars: ✭ 33 (+32%)
infomap ecology packagePackage with functions to handle network data and run Infomap, inspired by ecological networks
Stars: ✭ 14 (-44%)
ee extraA ninja python package that unifies the Google Earth Engine ecosystem.
Stars: ✭ 42 (+68%)
earthengine-py-examplesA collection of 300+ examples for using Earth Engine and the geemap Python package
Stars: ✭ 76 (+204%)
regen-ledgerBlockchain for planetary regeneration
Stars: ✭ 154 (+516%)
r-geo-courseAn introductory course on using R for geographic data visualisation and analysis (in Russian).
Stars: ✭ 18 (-28%)
spyndexAwesome Spectral Indices in Python.
Stars: ✭ 56 (+124%)
pygbifGBIF Python client
Stars: ✭ 55 (+120%)
LoveDA[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Stars: ✭ 111 (+344%)
python-for-gis-progression-pathProgression path for a GIS analyst who wants to become proficient in using Python for GIS: from apprentice to guru
Stars: ✭ 98 (+292%)
deepsumDeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
Stars: ✭ 39 (+56%)
eodagEarth Observation Data Access Gateway
Stars: ✭ 183 (+632%)
kuwalaKuwala 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…
Stars: ✭ 474 (+1796%)
BioEnergeticFoodWebs.jlA unified interface for simulations of the Bio-Energetic model on food webs
Stars: ✭ 24 (-4%)
piradarRadar using Red Pitaya for RF: using Raspberry Pi 3 for quad-core radar signal processing
Stars: ✭ 59 (+136%)
HSI-Traditional-to-Deep-ModelsPytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
Stars: ✭ 72 (+188%)
EcoBase.jlNo description or website provided.
Stars: ✭ 16 (-36%)
RivWidthCloudPaperA Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images
Stars: ✭ 62 (+148%)
MHCLNDeep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
Stars: ✭ 30 (+20%)
sabresabre: Spatial Association Between REgionalizations
Stars: ✭ 34 (+36%)
rafagasDaily geospatial links curated by Raf Roset
Stars: ✭ 17 (-32%)
forestoolsTools for detecting deforestation and forest degradation
Stars: ✭ 22 (-12%)
Python-for-Remote-Sensingpython codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Stars: ✭ 20 (-20%)
pyinterpolatePackage with spatial analysis and spatial prediction tools
Stars: ✭ 88 (+252%)