气候变化领域集成服务门户(CCPortal): Land cover classification map of Germany's agricultural area based on Sentinel-2A data from 2016

CCPortal

DOI	https://doi.org/10.1594/PANGAEA.910837
	Land cover classification map of Germany's agricultural area based on Sentinel-2A data from 2016
	Preidl; Sebastian; Lange; Maximilian; Doktor; Daniel
发布日期	2020-01-16
数据集类型	dataset
英文关键词	Compositing ; Crop mapping ; Land cover classification ; phenology ; random forest ; Sentinel-2
英文简介	Overcoming the obstacle of frequent cloud coverage in optical remote sensing data is essential for monitoring dynamic land surface processes from space. APiC, a novel adaptable pixel-based compositing and classification approach, is especially designed to use high resolution spatio-temporal space-borne data.
空间范围	Median Latitude: 50.550000 * Median Longitude: 10.100000 * South-bound Latitude: 47.500000 * West-bound Longitude: 7.200000 * North-bound Latitude: 53.600000 * East-bound Longitude: 13.000000
语种	英语
国家	国际
学科大类	气候变化
学科子类	气候变化
文献类型	数据集
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/215688
推荐引用方式 GB/T 7714	Preidl,Sebastian,Lange,et al. Land cover classification map of Germany's agricultural area based on Sentinel-2A data from 2016.2020-01-16.https://doi.org/10.1594/PANGAEA.910837.