modis-data | Topic | Ecosyste.ms: Repos

Topic: "modis-data"

ropensci/MODIStsp

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

Language: R - Size: 180 MB - Last synced at: 5 days ago - Pushed at: 8 days ago - Stars: 156 - Forks: 51

mykolakozyr/riverbasins-lst

Using GEE to collect and discover land surface temperature data over European river basins.

Language: Python - Size: 56.9 MB - Last synced at: about 15 hours ago - Pushed at: about 1 month ago - Stars: 35 - Forks: 3

WFP-VAM/modape

MODIS Assimilation and Processing Engine

Language: Python - Size: 12.5 MB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 28 - Forks: 8

mykolakozyr/map_lst

Using GEE to collect and discover land surface temperature data over custom location input.

Language: Python - Size: 16.6 KB - Last synced at: about 15 hours ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 1

Nikita-Belyakov/CLOUD_SNOW_SEGMENTATION

Research work for cloud and snow segmentation problem using meteorological satellite Electro-L №2 multispectral data, also suitable for GOES-16,17 multispectral data. This project includes all needed functions and utils for preprocessing multispectral data to make your own dataset for cloud and (or) snow segmentation problem

Language: Jupyter Notebook - Size: 896 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 1

chadagreene/MODIS-MOA

MODIS Mosaic of Antarctica

Language: MATLAB - Size: 31.1 MB - Last synced at: 13 days ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 2

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: about 3 years ago - Stars: 4 - Forks: 3

AlexandreBrown/WildfirePrediction

Canada Wildfire Prediction Using Deep Learning

Language: Jupyter Notebook - Size: 137 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

datapartnership/niger-economic-monitoring

Niger Economic Monitoring

Language: Jupyter Notebook - Size: 175 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 2

MrBourriz/Land-Cover-mapping-using-GEE

GEE code for pixel-based land cover classification with Random Forest (RF) algorithm, and for NDVI time series visualization.

Language: JavaScript - Size: 47.9 KB - Last synced at: over 1 year 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: over 2 years ago - Stars: 2 - Forks: 0

solrepresa/AQ-Valencia

Análisis y construcción de modelo de calidad del aire - Sitio: Comunidad de Valencia (España)

Language: R - Size: 391 KB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

3bdillahiomar/Drought-Assessment-in-Somaliland

Spatiotemporal Analysis of Agricultural Drought Severity and Hotspots in Somaliland. It integrates MODIS-derived vegetation indices and CHIRPS precipitation data to identify and assess drought severity and hotspots over time.

Language: Python - Size: 465 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

abhishekpaul11/NSAC-Garlic_Bread

NASA Space Apps Challenge 2020 submission. Team: Garlic Bread

Language: JavaScript - Size: 525 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

AnBowell/AstroCastTraining

Jupyter notebooks created for use in a training session on the topic of drought forecasting via satellite:artificial_satellite:. This repo contains the scripts needed to pre-process MODIS data and apply Gaussian Processes to time-series in order to forecast VCI :chart_with_upwards_trend:.

Language: Jupyter Notebook - Size: 70.1 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 2