Topic: "modis"
awesome-spectral-indices/awesome-spectral-indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Language: Python - Size: 1.79 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 961 - Forks: 152
CS-SI/eodag
Earth Observation Data Access Gateway
Language: Python - Size: 76.2 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 362 - Forks: 50
16EAGLE/getSpatialData
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
Language: R - Size: 21.5 MB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 308 - Forks: 66
ESDS-Leipzig/cubo
On-Demand Earth System Data Cubes (ESDCs) in Python
Language: Python - Size: 1.63 MB - Last synced at: 4 days ago - Pushed at: 22 days ago - Stars: 189 - Forks: 14
awesome-spectral-indices/spectral
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
Language: JavaScript - Size: 17.8 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 187 - Forks: 39
ropensci/MODIStsp
An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
Language: R - Size: 180 MB - Last synced at: 6 days ago - Pushed at: 8 days ago - Stars: 156 - Forks: 52
HPSCIL/cuSTARFM
cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)
Language: Cuda - Size: 7.98 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 65 - Forks: 34
r-earthengine/ee_extra
A ninja python package that unifies the Google Earth Engine ecosystem.
Language: Python - Size: 2.43 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 63 - Forks: 12
fdetsch/MODIS
Download and processing framework for MODIS imagery. The package provides automated access to the global online data archives LP DAAC, LAADS and NSIDC as well as processing capabilities such as file conversion, mosaicking, subsetting and time series.
Language: R - Size: 2.66 MB - Last synced at: 7 days ago - Pushed at: 20 days ago - Stars: 57 - Forks: 25
HPSCIL/cuESTARFM
cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)
Language: Cuda - Size: 7.97 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 47 - Forks: 24
RAJohansen/waterquality
Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery
Language: R - Size: 33.6 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 45 - Forks: 8
JohnNay/forecastVeg
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
Language: Python - Size: 3.62 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 45 - Forks: 21
rpush/modis
ActiveModel + Redis
Language: Ruby - Size: 238 KB - Last synced at: 5 days ago - Pushed at: 9 months ago - Stars: 38 - Forks: 33
peterkuma/ccplot
Command-line application for visualizing data from CloudSat and CALIPSO satellites
Language: Python - Size: 113 MB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 37 - Forks: 7
ptaconet/modisfast
Fast and efficient access to MODIS, VIIRS and GPM Earth Observation data with R
Language: R - Size: 16.3 MB - Last synced at: 3 days ago - Pushed at: 15 days ago - Stars: 35 - Forks: 5
multiply-org/atmospheric_correction
Sentinel 2 and Landsat 8 Atmospheric correction
Language: C - Size: 52.6 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 33 - Forks: 11
WFP-VAM/modape
MODIS Assimilation and Processing Engine
Language: Python - Size: 12.5 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 28 - Forks: 8
pinkychow1010/EO-Climate-Hazard-Analysis-App
A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️
Size: 1.14 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 26 - Forks: 2
awesome-spectral-indices/espectro
The Awesome Spectral Indices Streamlit App.
Language: Python - Size: 3.62 MB - Last synced at: 18 days ago - Pushed at: 7 months ago - Stars: 24 - Forks: 3
GenericMappingTools/RemoteS.jl
Remote sensing data processing
Language: Julia - Size: 10.5 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 21 - Forks: 4
krishnakafle/Blog_kaflekrishna
All the code in this branch will be python based, upon jupyter notebook. You will be able to find all codes for Google Earth Engine(GEE) on this repository. You will be able to link code with each post blog on readme file for each folders. Content from the Blog https://kaflekrishna.com.np will be uploaded here. https://google-earth-engine.com/
Language: Jupyter Notebook - Size: 21 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 21 - Forks: 10
ornldaac/modis_restservice_qc_filter_Python
Access data from the MODIS web service and perform quality filtering in Python
Language: Jupyter Notebook - Size: 401 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 21 - Forks: 19
awesome-spectral-indices/SpectralIndices.jl
Access and computation of any spectral index in the Awesome Spectral Indices collection natively in Julia
Language: Julia - Size: 7.68 MB - Last synced at: 17 days ago - Pushed at: about 2 months ago - Stars: 20 - Forks: 2
awesome-spectral-indices/awesome-ASI
A curated list of Awesome Spectral Indices (ASI) resources
Size: 378 KB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 20 - Forks: 4
HPSCIL/cuSTNLFFM
cuSTNLFFM is a GPU-enabled Spatial and Temporal Non-Local Filter-based Fusion Model (STNLFFM)
Language: Cuda - Size: 7.95 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 19 - Forks: 9
NingAnMe/Python-Satellite-remote-sensing
卫星遥感-数据处理、分析与反演-Python实现
Language: Python - Size: 13.7 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 7
tianjialiu/FIRECAM
FIRECAM: Fire Inventories - Regional Evaluation, Comparison, and Metrics
Language: JavaScript - Size: 17 MB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 18 - Forks: 11
montimaj/HydroMST
Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning
Language: Python - Size: 1.32 GB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 5
jgomezdans/BRDF_modelling
BRDF modelling using linear kernel models
Language: Jupyter Notebook - Size: 675 KB - Last synced at: 28 days ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 7
tianjialiu/HMS-Smoke
HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product
Language: JavaScript - Size: 10 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 17 - Forks: 6
ModisWorks/modis
A highly modular Discord bot designed for anyone to customise and self-host.
Language: Python - Size: 23.8 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 6
saumyatas/Zonal-Statistics
GEE, an open-source platform, for fast computation to Spatio-temporal analysis of satellite data.
Language: JavaScript - Size: 1.52 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 8
ornldaac/webinar-modis-viirs-august2018
Webinar: NASA ORNL DAAC MODIS and VIIRS Data Tools and Services at your Fingertips
Language: Jupyter Notebook - Size: 2.33 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 7
bcgov/snow-dur-analysis
Google Earth Engine, Python and R scripts for analysing and visualising MODIS snow duration data in British Columbia
Language: R - Size: 793 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 4
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.
Size: 62.5 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 4
egagli/easysnowdata
package for snow science data, providing streamlined access to satellite imagery (Sentinel-1/2, HLS, MODIS, etc), weather station data, climate reanalysis, land cover data, DEMs, and derived snow products as xarray objects.
Language: Python - Size: 115 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 11 - Forks: 3
ternaustralia/cmrset-examples
This repository contains code examples which demonstrate how users can access the CMRSET actual evapotranspiration data product and related data services.
Language: Jupyter Notebook - Size: 5.81 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 11 - Forks: 4
ornldaac/modis_restservice_qc_filter_R
Language: Jupyter Notebook - Size: 104 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 5
Gabriel-Desharnais/Modis-python-suite
Python module to download modis data
Language: Python - Size: 82 KB - Last synced at: 29 days ago - Pushed at: about 7 years ago - Stars: 9 - Forks: 6
Alex870521/Satellite_S5P
This Python script automates the retrieval and visualization of tropospheric NO2 data from Sentinel-5P satellite's TROPOMI instrument, enabling efficient monitoring of atmospheric pollution patterns through automated data processing and visualization.
Language: Python - Size: 3.73 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 8 - Forks: 0
DHI-GRAS/atmcorr
Atmospheric correction with Py6S and MODIS data
Language: Python - Size: 10.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 2
ornldaac/modis
MODIS Subsetting Tools and Services at ORNL DAAC
Language: Jupyter Notebook - Size: 843 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 8
ornldaac/tesvis
Resources on the ORNL DAAC's Terrestrial Ecology Subsetting & Visualization Services (TESViS) tools
Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 2
Parera-Portell/IceMap500
A sea ice detection algorithm to map sea ice using MODIS visible and infrared data at 500 m resolution.
Language: Python - Size: 138 KB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2
jgomezdans/accra_wkshp
Materials for NCEO crop modelling, Earth Observation and DA workshop in Accra
Language: Jupyter Notebook - Size: 30.1 MB - Last synced at: 28 days ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 6
nasa/modisconverter
Python library for converting MODIS data
Language: Python - Size: 53.7 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 3
Jwely/espa-api-client
Python interface to espa-api
Language: Python - Size: 61.5 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 4
fotioudim/Google-Earth-Engine-environmental-projects
A repository to showcase environmental projects implemented with Google Earth Engine platform, Javascript and machine learning algorithms.
Language: JavaScript - Size: 1.92 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2
kkyong77/SWAT_CalSensUC
R scripts for the SWAT model calibration/sensitivity/uncertainty analysis
Language: R - Size: 92.8 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2
brazil-data-cube/bdc-collectors
Flask extension for Brazil Data Cube to collect satellite imagery from multiple providers.
Language: Python - Size: 304 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 5 - Forks: 3
tianjialiu/ModL2T-Burned-Area
ModL2T: hybrid MODIS and Landsat algorithm in Google Earth Engine for estimating post-monsoon burned area from agricultural fires in northwestern India
Language: JavaScript - Size: 85 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 5 - Forks: 4
saraivaufc/land-use-classification-using-encoder-decoder-lstm
Biweekly mapping of land use and land cover using MODIS time series (MOD13Q1) and LSTM Neural Networks.
Language: Jupyter Notebook - Size: 6.23 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 2
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.
Language: JavaScript - Size: 12.8 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1
chadagreene/MODIS-MOA
MODIS Mosaic of Antarctica
Language: MATLAB - Size: 31.1 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 2
jgomezdans/BRDF_descriptors
Language: Python - Size: 26.4 KB - Last synced at: 28 days ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 5
aalling93/ECNN-on-SAR-data-and-Radiometry-data
Deep learning for Synthetic Aperture Radar(SAR) and Radiometry data. An Ensemble Convolutional Neural Network workflow is implemented with data acquisition, processing, labelling, creating model, training model and launching a model
Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 3
ornldaac/modis_global_tool_batch_order
Submit a batch of MODIS Global Subset Tool orders via the MODIS Web Service
Language: Jupyter Notebook - Size: 104 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 10
ptaconet/getremotedata
R functions to download & import efficiently various spatio-temporal data
Language: R - Size: 160 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 2
mkmcc/ThomasFire
Map of the Thomas Fire, using data from NASA's MODIS and VIIRS satellites
Language: Jupyter Notebook - Size: 68 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 0
osteth/project-firewatch
2017 NASA Space Apps Challenge Submission from team Hackbama Project Firewatch.
Language: Python - Size: 23.8 MB - Last synced at: 9 months ago - Pushed at: almost 8 years ago - Stars: 4 - Forks: 1
JPL-Evapotranspiration-Algorithms/modland
georeferencing for MODIS/VIIRS sinusoidal tiles
Language: Python - Size: 96.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 2
JPL-Evapotranspiration-Algorithms/MODISCI
generates rasters of MODIS clumping index
Language: Python - Size: 266 MB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 2
hvillalo/satin
Functions for Reading, Visualising and Analysing Ocean Data Derived from Satellites for Oceanographic Applications
Language: R - Size: 1.23 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1
benjamin-hg-marchant/ml-dl-modis-multilayer-clouds
A TensorFlow deep learning algorithm for MODIS multilayer cloud and thermodynamic phase classification using CALIOP and CloudSat
Language: Dockerfile - Size: 12.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
ornldaac/web_services_data_access
Accessing data through ORNL DAAC web services (MODIS, Daymet, SDAT)
Language: Jupyter Notebook - Size: 158 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 4
ErickShepherd/modis_caliop_anomaly_analysis
An analysis of discrepancies between MODIS Aqua and CALIPSO cloud data by the UMBS ACROS Group and the UMBC CyberTraining 2020 Team 2.
Language: Python - Size: 172 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 2
HannaMeyer/AntAir
Scripts and functions for a monitoring of air temperature in Antarctica using MODIS data and machine learning
Language: R - Size: 80.1 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1
gpcureton/ModisL1B_Rad2BT
Compute brightness temperature for a MODIS infrared band Terra or Aqua.
Language: Fortran - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1
datapartnership/niger-economic-monitoring
Niger Economic Monitoring
Language: Jupyter Notebook - Size: 175 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 2 - Forks: 2
STARS-Data-Fusion/Modland.jl
MODIS/VIIRS Sinusoidal Land Tile Utilities for Julia
Language: Julia - Size: 25.4 KB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 3
robitalec/irg
:package: irg is an R package for calculating the instantaneous rate of green-up.
Language: R - Size: 1.34 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
JPL-Evapotranspiration-Algorithms/MCD12C1-2019-v006
MODIS/Terra+Aqua Land Cover Type CMG Yearly L3 Global 0.05 Deg 2019 Collection 6 Dataset Python Tool
Language: Python - Size: 1.82 MB - Last synced at: 13 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 2
hgarbeil/PyMODISView
Global MODIS NDVI and LST python image display and 20+ year time-series analysis program
Language: Python - Size: 287 KB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
YannChemin/distRS
Distributed Remote Sensing Processing
Language: C - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
hgarbeil/MODISView
MOD11 and MOD13 Continental USA MODIS visualization and analysis
Language: C++ - Size: 424 KB - Last synced at: 17 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
satlawa/proj_time_series_analysis
Phenology of Georgia (Caucasus). Phenology is derived from NDVI (Modis satellite).
Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 3
orestispanago/Modis-NDVI
Reads MODIS NDVI .hdf files, clips on .shp
Language: Python - Size: 3.43 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0
xialang2012/AtmCorrection
Language: Python - Size: 16.6 KB - Last synced at: 27 days ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1
bencevans/find-modis-tile
🛰 Find X/Y MODIS Tile by Lon/Lat
Language: JavaScript - Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: over 8 years ago - Stars: 2 - Forks: 0
lapig-ufg/timeseries
API of services timeseries of MODIS NDVI.
Language: Python - Size: 3.42 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
gregory-halverson/MODISCI Fork of JPL-Evapotranspiration-Algorithms/MODISCI
generates rasters of MODIS clumping index
Language: Python - Size: 39.1 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
gregory-halverson-jpl/MODISCI Fork of JPL-Evapotranspiration-Algorithms/MODISCI
generates rasters of MODIS clumping index
Language: Python - Size: 266 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
gina-alaska/sandy-utils
processing bits attached to the sandy (and other) data processing streams.
Language: Ruby - Size: 522 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
akunna1/Equatorial-Guinea-Analysis
This code snippet demonstrates the geospatial analysis and visualization of Equatorial Guinea using Google Earth Engine. It includes layers for slope analysis, gross primary productivity (GPP), normalized burn ratio thermal (NBRT), and normalized difference vegetation index (NDVI)
Language: JavaScript - Size: 5.86 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
m-jurzyk/ECOSTRESS_GRASSAT
The main goal of the project is to collect data from various sources (satellite - NASA, Modis and Ecostress) as well as ground-based meteorological measurements, and then to calculate evapotranspiration processes based on the Ts-Ta formula
Language: R - Size: 273 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1
po1line/NDVI_time-series_GEE
🗾 Daily MODIS data processing across large territories using GEE Python API
Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
danlessa/danlessa-lfa
This repository contain my fiddling and code related to my scientific internship at LFA-IFUSP. My project consists of comparing and validating several measured cloud fraction between different instruments at the GOAmazon site.
Language: Jupyter Notebook - Size: 821 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
WalidGharianiEAGLE/Aus_Bushfires_App
Tracking and Analyzing the Spatial Temporal Variation of Australian Bushfire 2019-2020 Using MODIS and VIIRS Data
Language: R - Size: 36.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1
GioiaMancini/EarthObservationDataAnalysis
Homeworks for the course Earth Observation Data Analysis, 2020, Sapienza University of Rome
Size: 94.3 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
mrzhiin/modis
Comment service for web
Language: TypeScript - Size: 2.32 MB - Last synced at: about 8 hours ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
hgarbeil/pymodis_lev1b
Python Reading and Resampling of MOD021 / MOD03 Datasets
Language: Python - Size: 5.86 KB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
klauswiese/Forward
Package developed for manage rasterstacks of climatic data and generate resilience index
Language: R - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
benjamin-hg-marchant/ml-gp-modis-multilayer-clouds
A machine learning algorithm based on Gaussian processes for MODIS multilayer cloud and thermodynamic phase classification using CALIOP and CloudSat
Size: 5.44 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
ornldaac/modis_webservice_qc_filter_R 📦
Access data from MODIS web service and perform quality filtering in R
Language: Jupyter Notebook - Size: 296 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1
jaspersiebring/landsat-dl
Tool that allows you to search and generate download URLs for LANDSAT imagery directly from the USGS website (both collection 1 and pre-collection)
Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0
honglioslo/MODIS_Monthly_EVA
Language: Python - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 1
johnypark/MODISTools Fork of sntck/MODISTools
R package – retrieving & using MODIS data from NASA's ORNL DAAC archive
Language: R - Size: 698 KB - Last synced at: 10 months ago - Pushed at: over 8 years ago - Stars: 1 - Forks: 0
TeleAmb-upla/nieves_auto
Script to calculate and export GEE images with the monthly SCI and CCI to a GEE Assets or Google Drive
Language: Python - Size: 170 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
gregory-halverson/Modland.jl Fork of STARS-Data-Fusion/Modland.jl
MODIS/VIIRS Sinusoidal Land Tile Utilities for Julia
Language: Julia - Size: 24.4 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
OHSEHOON99/Crop_Yield_ML_Comparison
Machine learning-based wheat yield estimation in Ukraine using MODIS and ERA5 Land data, with a comparative analysis of six regression models
Language: Jupyter Notebook - Size: 59.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
