A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

标题
A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform
作者
关键词
-
出版物
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 144, Issue -, Pages 325-340
出版商
Elsevier BV
发表日期
2018-08-10
DOI
10.1016/j.isprsjprs.2018.07.017

向作者/读者发起求助以获取更多资源

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More