Sujet: "landsat-8"
awesome-spectral-indices/awesome-spectral-indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
langage: Python - taille: 1,59 Mo - dernière synchronisation: il y a 2 jours - enregistré: il y a 5 jours - étoiles: 980 - forks: 157
kvos/CoastSat
Global shoreline mapping tool from satellite imagery
langage: Jupyter Notebook - taille: 128 Mo - dernière synchronisation: il y a 5 jours - enregistré: il y a 2 mois - étoiles: 780 - forks: 276
pylandtemp/pylandtemp
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
langage: Python - taille: 6,3 Mo - dernière synchronisation: il y a 7 jours - enregistré: il y a plus de 2 ans - étoiles: 178 - forks: 29
kylebarron/deck.gl-raster
deck.gl layers and WebGL modules for client-side satellite imagery analysis
langage: JavaScript - taille: 10,5 Mo - dernière synchronisation: il y a environ 5 heures - enregistré: il y a plus de 2 ans - étoiles: 89 - forks: 12
MarcYin/SIAC
A sensor invariant Atmospheric Correction (SIAC)
langage: C - taille: 51,9 Mo - dernière synchronisation: il y a 22 jours - enregistré: il y a 3 mois - étoiles: 66 - forks: 17
qzhang95/PSTCR
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.
langage: MATLAB - taille: 28,5 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a presque 5 ans - étoiles: 54 - forks: 17
olivierhagolle/Start_maja
To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor
langage: Python - taille: 483 Mo - dernière synchronisation: il y a environ un an - enregistré: il y a plus de 5 ans - étoiles: 51 - forks: 15
RAJohansen/waterquality
Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery
langage: R - taille: 33,6 Mo - dernière synchronisation: il y a 2 jours - enregistré: il y a plus d'un an - étoiles: 47 - forks: 8
v0di/landsat8image
A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line.
langage: Python - taille: 1,2 Mo - dernière synchronisation: il y a environ un mois - enregistré: il y a plus de 3 ans - étoiles: 44 - forks: 1
kylebarron/landsat8.earth
2D/3D WebGL Landsat 8 satellite image analysis
langage: JavaScript - taille: 71,4 Mo - dernière synchronisation: il y a 4 jours - enregistré: il y a environ 2 ans - étoiles: 39 - forks: 4
multiply-org/atmospheric_correction
Sentinel 2 and Landsat 8 Atmospheric correction
langage: C - taille: 52,6 Mo - dernière synchronisation: il y a environ un an - enregistré: il y a plus d'un an - étoiles: 33 - forks: 11
eupassarinho/GoogleEarthEngine-sentinel1-vegetation-indices
It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.
langage: JavaScript - taille: 39,1 ko - dernière synchronisation: il y a 12 mois - enregistré: il y a 12 mois - étoiles: 31 - forks: 4
GenericMappingTools/RemoteS.jl
Remote sensing data processing
langage: Julia - taille: 10,6 Mo - dernière synchronisation: il y a environ un mois - enregistré: il y a 2 mois - étoiles: 21 - forks: 4
calekochenour/gee-vegetation-change
Reproducible remote sensing analysis using Google Earth Engine (GEE) to identify vegetation change in Columbia.
langage: Jupyter Notebook - taille: 159 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a presque 5 ans - étoiles: 17 - forks: 6
kunzhan/HR-cloud-Net
High-Resolution Cloud Detection Network
langage: Python - taille: 12,2 Mo - dernière synchronisation: il y a 3 mois - enregistré: il y a 11 mois - étoiles: 16 - forks: 0
amanbasu/wildfire-detection
Using Vision Transformers for enhanced wildfire detection in satellite images
langage: Python - taille: 27,3 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a environ 3 ans - étoiles: 16 - forks: 6
AlexeyPechnikov/satellite-spectrogram
Compare Spectrograms of Hyperspectral and Multispectral Satellite Missions
langage: Jupyter Notebook - taille: 15,5 Mo - dernière synchronisation: il y a environ un mois - enregistré: il y a environ 5 ans - étoiles: 15 - forks: 5
kylebarron/landsat-mosaic-latest
Auto-updating global Landsat 8 mosaic of Cloud-Optimized GeoTIFFs from SNS notifications
langage: Python - taille: 6,21 Mo - dernière synchronisation: il y a 4 jours - enregistré: il y a environ 5 ans - étoiles: 15 - forks: 2
mo-agh/sea-land-segmentation-coastline-extraction
Python code for paper "Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net", JAG 2022
langage: Jupyter Notebook - taille: 80,2 Mo - dernière synchronisation: il y a 5 mois - enregistré: il y a plus de 2 ans - étoiles: 12 - forks: 2
NASA-DEVELOP/ORCAA
The Optical Reef and Coastal Area Assessment (ORCAA) tool in Google Earth Engine allows users to monitor, track, and evaluate water parameters in the Belize and Honduras Barrier Reefs from January 2013 to present using Landsat 8, Sentinel-2, and Aqua/Terra MODIS imagery.
taille: 62,5 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 4 ans - étoiles: 12 - forks: 4
saraivaufc/instance-segmentation-maskrcnn
Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Network
langage: Jupyter Notebook - taille: 10,4 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 9 - forks: 1
stevinc/EGNNA_WND
Pytorch code for estimating the presence of the West Nile Disease employing Graph Neural network
langage: Python - taille: 5,83 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 4 ans - étoiles: 9 - forks: 1
bellingcat/Multispectral-Satellite-Imagery-Explorer
Google Earth Engine App for exploring Landsat 8 multispectral imagery.
langage: JavaScript - taille: 15,6 ko - dernière synchronisation: il y a 27 jours - enregistré: il y a 6 mois - étoiles: 8 - forks: 0
ElementMo/RSIP
A module to process LandSat8 Remote Sense Images. Features: NDBI NDVI NDWI calculation; LandSat8 BandMerge(GIS info reserved); Building Area Extraction; Water Area Extraction;
langage: Python - taille: 6,91 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a presque 7 ans - étoiles: 8 - forks: 5
kylebarron/landsat-mosaic-tiler Fork de developmentseed/awspds-mosaic
Serverless Landsat map tiles from mosaics of Cloud-Optimized GeoTIFFs
langage: Jupyter Notebook - taille: 3,93 Mo - dernière synchronisation: il y a 4 jours - enregistré: il y a presque 5 ans - étoiles: 7 - forks: 0
ryankemmer/Landsat-TimeLapser
An open-source web application for creating time-lapses with Landsat 8 Satellite Imagery powered by Google Earth Engine. 🛰️
langage: JavaScript - taille: 20,6 Mo - dernière synchronisation: il y a 9 jours - enregistré: il y a plus de 3 ans - étoiles: 6 - forks: 1
NASA-DEVELOP/WET
The Wetland Extent Tool (WET) was developed by the 2019 Spring JPL Great Lakes Water Resources team for wetland mapping in Minnesota using Sentinel-1 C-SAR, Landsat 8 OLI, and a LiDAR-derived Topographic Wetness Index (TWI) in Google Earth Engine.
taille: 3,56 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 3 ans - étoiles: 6 - forks: 1
brazil-data-cube/bdc-collectors
Flask extension for Brazil Data Cube to collect satellite imagery from multiple providers.
langage: Python - taille: 304 ko - dernière synchronisation: il y a 3 mois - enregistré: il y a 5 mois - étoiles: 5 - forks: 3
NASA-DEVELOP/STFC
The Short-term Forest Change Tool (STFC) is a Google Earth Engine script created by the Spring 2020 Costa Rica and Panama Ecological Forecasting team. The main scope of the software is to display changes in vegetation of forested areas and identify regions of possible deforestation.
langage: JavaScript - taille: 12,8 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a environ 3 ans - étoiles: 5 - forks: 1
fliphilipp/icesat2geemap
Interactively visualize and contextualize high-resolution spaceborne LiDAR data from NASA's ICESat-2 mission, using the OpenAltimetry API along with the Google Earth Engine Python API and the python package geemap for mapping.
langage: Jupyter Notebook - taille: 4,14 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 3 ans - étoiles: 5 - forks: 3
ocsmit/rindcalc
A Python module for remote sensing index calculations and processing. Mostly used for my experimentation with new concepts and techniques.
langage: Python - taille: 1,18 Mo - dernière synchronisation: il y a 21 jours - enregistré: il y a plus de 3 ans - étoiles: 5 - forks: 3
ggonzr/region_grow
Creates a polygon using a set of points from a region of interest by grouping pixels whose spectral reflectance is similar. The polygons are created using a satellite image in GeoTIFF format. In this project several algorithms are implemented to build this figure. Among them are: Selection by similarity threshold (%), Euclidean distance and selection by confidence interval. The generated polygon is exported in ESRI Shapefile format
langage: Python - taille: 186 ko - dernière synchronisation: il y a 10 mois - enregistré: il y a plus de 4 ans - étoiles: 5 - forks: 3
NASA-DEVELOP/WET2.0
The 2020 Spring Great Lakes Water Resources II adapted the Wetland Extent Tool (WET) to create WET 2.0, which is a tool with a Graphical User Interface (GUI) that automates wetland classification for the entire Great Lakes Basin using Sentinel-1 C-SAR, Landsat 8 OLI, Sentinel-2 MSI, and Dynamic Surface Water Extent (DSWE).
taille: 111 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 3 ans - étoiles: 4 - forks: 2
kylebarron/landsat-cogeo-mosaic
Create mosaicJSON for Landsat imagery
langage: Python - taille: 34,4 Mo - dernière synchronisation: il y a 4 jours - enregistré: il y a presque 5 ans - étoiles: 4 - forks: 0
GrHalbgott/index-calculator
A python program which calculates a chosen index for Sentinel-2 and Landsat 8 images and gives multiple output options.
langage: Python - taille: 594 ko - dernière synchronisation: il y a 4 mois - enregistré: il y a 4 mois - étoiles: 3 - forks: 1
robson-cruz/Google_Earth_Engine
Scripts to download images from the Landsat series sensors through the google earth engine API
langage: JavaScript - taille: 3,1 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 3 - forks: 0
AntLouiz/LandSearch
A platform for researchers to access Landsat satellite images from a shapefile in a region.
langage: Python - taille: 85,9 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 3 ans - étoiles: 3 - forks: 1
NASA-DEVELOP/SLaCC
The Supervised Land Cover Classification (SLaCC) tool is a Google Earth Engine script created by the Summer 2019 Southern Maine Health and Air Quality Team. It uses NASA Earth observations, the National Land Cover Database, land cover classification training data, and a shapefile of Cumberland County, Maine, USA. The goal of the project was to evaluate land cover and tick habitat suitability in southern Maine. The SLaCC script occurs in two parts. Part 1 of the script allows users to create a supervised land cover map over a region using a Classification And Regression Tree (CART) model. Part 2 of the script allows users to create a map that displays the "edges" of chosen land covers.
langage: JavaScript - taille: 113 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 3 ans - étoiles: 3 - forks: 5
nasrajan/landsat8-rasterio
Getting started with Landsat 8 dataset using rasterio
langage: Jupyter Notebook - taille: 120 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 5 ans - étoiles: 3 - forks: 2
JoshuaBillson/LandsatExplorer.jl
A pure Julia package for querying and downloading Landsat data.
langage: Julia - taille: 222 ko - dernière synchronisation: il y a 18 jours - enregistré: il y a 8 mois - étoiles: 2 - forks: 0
ibtissem-hamani/Measuring-class-separability-APP
This APP is necessary to evaluate the quality of the class representative samples and determine the classes with ambiguous boundaries in feature space, where poor classification accuracy is expected.
langage: JavaScript - taille: 82 ko - dernière synchronisation: il y a 4 mois - enregistré: il y a 10 mois - étoiles: 2 - forks: 0
Travis-Simmons/LINDEX
LINDEX is an open source, containerized Landsat-8 Processing tool for timeseries index analysis.
langage: Python - taille: 57,6 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a environ 3 ans - étoiles: 2 - forks: 0
yiqiangjizhang/Robotic-Exploration
Robotic Exploration of the Solar System using NASA's JPL SPICE Toolkit and Remote Sensing with LandSat 8 data
langage: MATLAB - taille: 4,42 Go - dernière synchronisation: il y a plus d'un an - enregistré: il y a environ 4 ans - étoiles: 2 - forks: 0
OkomoJacob/Spatial-Analysis-Studios
All to do with spatial data analysis, Raster Image analysis
langage: HTML - taille: 76,7 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a environ 4 ans - étoiles: 2 - forks: 0
leftfield-geospatial/extend-thicket-agc
Proof of concept for biome wide aboveground carbon (AGC) mapping in thicket
langage: JavaScript - taille: 2,91 Mo - dernière synchronisation: il y a 11 mois - enregistré: il y a 11 mois - étoiles: 1 - forks: 1
nicolast911/ET_master_project
Master Thesis Project on modelling Evapotranspiration with SEBAL
langage: HTML - taille: 108 Mo - dernière synchronisation: il y a environ un an - enregistré: il y a environ un an - étoiles: 1 - forks: 0
Fernigithub/Fernigithub
Profile
taille: 6,01 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 1 - forks: 0
cristianrubioa/pale-blue-dot-challenge
NASA's visualization challenge project of the dynamic climate trends in the Los Glaciares National Park, Argentine. Leveraging Landsat 8/9 imagery from 2013 to 2024, the visual highlights warming temperatures and diminishing snow cover percentage.
langage: Jupyter Notebook - taille: 575 Mo - dernière synchronisation: il y a environ un an - enregistré: il y a plus d'un an - étoiles: 1 - forks: 0
carls31/eo-fire-mapping
Earth Observation Project
langage: Jupyter Notebook - taille: 105 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a presque 2 ans - étoiles: 1 - forks: 0
imildositoe/mastering_google_earth_engine
Exploring some LANDSAT 8, LANDSAT 9, SENTINEL 2 satellites data with Google Earth Engine
langage: JavaScript - taille: 45,9 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a environ 2 ans - étoiles: 1 - forks: 0
amcfaddenGIS/SLFMC
SLFMC: Seasonal Live Fuel Moisture Content
langage: Python - taille: 27,9 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 2 ans - étoiles: 1 - forks: 0
kkumar555/Fractional-Built-up-Prediction-10m-from-Landsat-8-using-Random-Forest-Algorithm-
This is a script that reads in Landsat-8 data, Esri Sentinel-2 10m land cover time series data and train a random forest classification algorithm to estimate fractional built cover at 30m scale. The trained model can be used to produce fractional land cover for other regions.
langage: Python - taille: 3,16 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 3 ans - étoiles: 1 - forks: 1
Moses07/Remote_sensing_Vegetation_index
Remote Sensing Digital Satellite Image Processing with Python
taille: 4,88 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 3 ans - étoiles: 1 - forks: 0
Travis-Simmons/LaNDWI
A novel Lansat 8 processing tool for automated NDWI analysis.
langage: Python - taille: 58,6 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a presque 4 ans - étoiles: 1 - forks: 0
hariomahlawat/IndiaSat
An open dataset for pixel level classification of Landsat 7 and Landsat Imagery. The repo contains the code for classification as well as the error correction methods on top of it.
langage: Python - taille: 15,1 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a presque 5 ans - étoiles: 1 - forks: 1
elijahcole/iwildcam2020-rs-demo
Code demonstrating how to parse the remote sensing data from the iWildCam 2020 competition.
langage: Python - taille: 439 ko - dernière synchronisation: il y a 2 mois - enregistré: il y a plus de 5 ans - étoiles: 1 - forks: 0
barnabygordon/SatelliteTiles
IOS app for visualising Landsat8 data
langage: Swift - taille: 10,7 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 7 ans - étoiles: 1 - forks: 0
tomosglaciology/landsat-filter-export
Filter, visualise, and batch-download Landsat 4–9 imagery using Google Earth Engine
taille: 75,2 ko - dernière synchronisation: il y a 11 jours - enregistré: il y a 11 jours - étoiles: 0 - forks: 0
msikorski93/Flood-Detection-Using-Satellite-Imagery
A simple approach of detecting flooded areas in the Bombetoka Bay (Madagascar) based on Landsat 8 images.
langage: Jupyter Notebook - taille: 10,9 Mo - dernière synchronisation: il y a 4 mois - enregistré: il y a 6 mois - étoiles: 0 - forks: 0
rachelcrafford/code
langage: R - taille: 14,6 ko - dernière synchronisation: il y a 9 mois - enregistré: il y a 9 mois - étoiles: 0 - forks: 0
deverestHood/Camp-Fire
Camp Fire NDVI and Vegetation Recovery Analysis using Google Earth Engine (GEE) and Landsat 8 Imagery
langage: Jupyter Notebook - taille: 58,4 Mo - dernière synchronisation: il y a 11 mois - enregistré: il y a 11 mois - étoiles: 0 - forks: 0
Minoro/transfer-learning-landsat8-sentinel2
Active fire segmentation with deep learning: a transfer learning study from Landsat-8 to Sentinel-2
langage: Jupyter Notebook - taille: 10,9 Mo - dernière synchronisation: il y a 11 mois - enregistré: il y a 11 mois - étoiles: 0 - forks: 0
akhilchibber/Cloud-Segmentation
Deep Learning based Cloud Segmentation in Satellite Imagery
langage: Jupyter Notebook - taille: 7,36 Mo - dernière synchronisation: il y a 11 mois - enregistré: il y a 11 mois - étoiles: 0 - forks: 0
eatlas/World_AIMS_Marine-satellite-imagery
Code for generating satellite imagery optimised for marine environment using Google Earth Engine
langage: JavaScript - taille: 1,88 Mo - dernière synchronisation: il y a environ un an - enregistré: il y a environ un an - étoiles: 0 - forks: 0
echodrift/technology-workshop-course
Fourier and wavelet transform application
langage: Jupyter Notebook - taille: 73 Mo - dernière synchronisation: il y a environ un an - enregistré: il y a environ un an - étoiles: 0 - forks: 0
saraivaufc/watershed-segmentation
Implementation of Watershed segmentation in Python using GDAL and Scikit-image
langage: Python - taille: 1,14 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 0 - forks: 1
aldearizka99/Kumbara
Kumbara: Inventory of Forest and Land Fires in Central Kalimantan Province 2014 - 2024 An application to visualise the severity of land fires using the NBR and dNBR methods and the potential level of land fires using Fire Information for Resource Management System (FIRMS) hotspot points in Central Kalimantan Province, Indonesia.
langage: JavaScript - taille: 156 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 0 - forks: 0
b-rech/geoinfo-lst
This repository contains the Python codes used in the short paper "Sensitivity of Land Surface Temperature to Emissivity Retrieved from Landsat 8 Data", submitted to the XXIV Brazilian Symposium on GeoInformatics.
langage: Python - taille: 9,77 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 0 - forks: 0
bwsi-hadr/05-Rasters-and-satellite-imagery
We will be using the rasterio and GDAL python libraries to acquire landsat_8 satellite images from AWS and process them.
langage: Jupyter Notebook - taille: 10,8 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus d'un an - étoiles: 0 - forks: 6
kavin160100/Correlation-Study-LST_CO
Contains python notebooks used for clipping of satellite data using Geojson AOI, calculating LST from Landsat 8 Images and Correlation analysis between CO and LST
langage: Jupyter Notebook - taille: 430 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a presque 2 ans - étoiles: 0 - forks: 0
akhi9661/just_some_data
Deriving wavelength dependent parameters using relative spectral response (RSRs) for Landsat 8 and Sentinel 2.
langage: Python - taille: 76,2 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a environ 2 ans - étoiles: 0 - forks: 0
SitiAminatus/Prediction_Rice-Growth-Phases-Landsat-8-Satellite
This project used to predict Rice Growth Phase using DNN. You will find in TOLITOLI model, the accuracy is so bad and you need to deal with the outlier first.
taille: 273 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 2 ans - étoiles: 0 - forks: 1
nasser85/spaceview-earth
This app uses the Google Maps API in tandem with the NASA API to fetch the most recent LANDSAT 8 image of any location (address, city, state, country, landmark, etc.). The LANDSAT 8 satellite takes pictures of the entire earth every 16 days.
langage: JavaScript - taille: 968 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 2 ans - étoiles: 0 - forks: 0
NASA-Openscapes/HLSBulkQuery_STAC
Use STAC API to Bulk Query NASA HLS Remote Sensing Data
langage: HTML - taille: 270 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a presque 3 ans - étoiles: 0 - forks: 0
Mauritia-flexuosa/gee_ls8
This repository stores scripts to download and manipulate Landsat8 time series from GEE using python. I also access and manipulate the downloaded data with R.
langage: R - taille: 1,28 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 3 ans - étoiles: 0 - forks: 1
Mauritia-flexuosa/apresentacao-acoplamento
Apresentação feita em R do meu estudo chamado "Are coexisting biomes in a heterogeneous tropical landscape alternative stable states?".
langage: JavaScript - taille: 55,5 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 3 ans - étoiles: 0 - forks: 1
tejshahi/data_fusion
Remote Sensing Data Fusion with Machine learning methods :An Instance of NDVI Sentinel and Landsat
langage: Jupyter Notebook - taille: 4,5 Mo - dernière synchronisation: il y a environ un an - enregistré: il y a environ 4 ans - étoiles: 0 - forks: 0
ataozarslan/GEO468E_Project
This repository contains a remote sensing project for Special Topics in Remote Sensing Lecture.
langage: Jupyter Notebook - taille: 9,65 Mo - dernière synchronisation: il y a plus d'un an - enregistré: il y a plus de 4 ans - étoiles: 0 - forks: 0
jportolese/ImageProcessing
Code Repository for my Final Project for Data Science Class
langage: HTML - taille: 7,61 Mo - dernière synchronisation: il y a environ un an - enregistré: il y a environ 6 ans - étoiles: 0 - forks: 0
xialang2012/AircraftsFinder
This project is used to recognize flying aircraft from Landsat data
langage: C++ - taille: 548 ko - dernière synchronisation: il y a 3 mois - enregistré: il y a presque 7 ans - étoiles: 0 - forks: 0
ArmandoRodriguez/Teledeteccion
Herramientas de teledeteccion en R
taille: 19,5 ko - dernière synchronisation: il y a plus d'un an - enregistré: il y a presque 7 ans - étoiles: 0 - forks: 0
