servir-mekong / rlcms Goto Github PK
View Code? Open in Web Editor NEWHosting repository for the RLCMS methodology and code using GEE
Home Page: https://servir-mekong.github.io/rlcms/
License: GNU General Public License v3.0
Hosting repository for the RLCMS methodology and code using GEE
Home Page: https://servir-mekong.github.io/rlcms/
License: GNU General Public License v3.0
Dear SERVIR-Mekong,
I am a researcher investigating land cover dynamics in the mainland Southeast Asian region. Very recently, I have read about your amazing work in Saah et al (2020) which introduces a novel method of performing land cover classification using primitives. I believe this harmonized, long-term land cover monitoring system has immense potential for researchers and conservation practitioners working in the region.
As such, I am asking if there is a way to acquire the annual land cover maps at 30 m for the entire mapped region (i.e. mainland Southeast Asia). The reason I am asking is because I have found that on the online RLCMS tool version 2, when I try and download the map for the whole region, I am unsuccessful in getting the data at 30 m. The exports were scaled up to 1 km resolution, and if I used a smaller box extent, 500 m and even 200 m. Only when I specify a small-enough box extent will I be able to get the dataset at 30 m resolution. I suspect this is due to some automatic pyramiding of the raster dataset when end-users such as myself are downloading the dataset from the online RLCMS tool.
I have visited your GitHub and Google Git repositories, and added your Google Earth Engine code repository to my own GitHub and GEE accounts, but cannot find the correct file pathway as to where these annual land cover datasets (1987-2017) version 2 can be found.
Is there any way that I can download the annual land cover maps for each year for the entire mainland Southeast Asia? Instead of having to tesselate the region into small squares, and then downloading the annual land cover information one at a time, before mosaicking them together to get the annual land cover maps ( x 30 years, 1987 - 2017).
I definitely will credit your organization and its members ( e.g @biplovbhandari , @KMarkert and @apoortinga ) accordingly when using the dataset, as they have put in many hours of tremendous work into developing this instrumental dataset. Thank you kindly, I hope to hear from you soon.
Hello,
I am using the GEE Code Repository authored by Khanal Nishant, found under the tab "Portal User Guide and Manual" at the following link: https://www.landcovermapping.org/en/about/
I have completed 6 of the 7 scripts with no issue, but the final script where we validate the machine learning model and evaluate its accuracy is giving me some issues. Attached please find an image of the error code GEE throws when I run the code. Thanks in advance!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.