Google Earth Engine para el monitoreo del uso y cobertura del suelo de la República Argentina
-
Updated
Dec 12, 2017
Google Earth Engine para el monitoreo del uso y cobertura del suelo de la República Argentina
Raw files for a document covering different approaches to dealing with dependent data.
Cluster-specific logistic regression models for whether an NBA team will make the playoffs given the current statistics of that team. Specifically uses population averaged models (PA) based on generalized estimating equations (GEE); Also, uses cluster-specific (each team) random effects models
RESTful Web API bridge for Google Earth Engine calculations
Criteria for selecting working correlation structure in generalized estimating equations
Trend detection in time series of remotely sensed data using PolyTrend algorithm
Mapping wetland hydrological dynamics using Google Earth Engine (GEE)
A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population
Go net/http 实现类 gin web 框架。fasthttp 版本 https://github.com/leffss/fgee
Google Earth Engine practice
Semi-supervised water storage retrieval using Sentinel-2
Google Earth Engine in JavaScript for Remote Sensing
Web application for air quality monitoring in Kyiv
GEE code for national-scale land cover classification using Sentinel imagery
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.
Add a description, image, and links to the gee topic page so that developers can more easily learn about it.
To associate your repository with the gee topic, visit your repo's landing page and select "manage topics."