VetSen-BR

kaggle2026-07-17 更新2026-07-24 收录

遥感土地覆盖

巴西地理监测

数据链接：

https://www.kaggle.com/datasets/datasetbr1/vetsen-br 数据链接链接失效反馈

官方服务：

资源简介：

Sentinel-2 land-cover segmentation in Brazil (EDGV/MapBiomas labels)

巴西地区哨兵二号（Sentinel-2）土地覆盖分割数据集（标注采用EDGV/MapBiomas标签）

创建时间：

2026-05-01

1995年全球30米地表覆盖精细分类产品V1.0

遥感土地覆盖

地表变化监测

地表覆盖分布是气候变化研究、生态环境评估及地理国情监测等不可或缺的重要基础信息。近年来，随着遥感科学技术以及计算机存储和计算能力的不断提升，针对长时序全球30米地表覆盖动态监测产品的应用需求日益迫切。本课题研发的以课题组2020年最新研发的全球30米地表覆盖精细分类产品（GLC_FCS30-2020）为基准数据，提出了耦合变化检测和动态更新相结合的长时序地表覆盖动态监测方案，利用1984-2

地球大数据科学工程2021-08-23 更新50

fdata-02-00046-g0007_Plantation Mapping in Southeast Asia.tif

种植园自动制图

遥感土地覆盖

Plantation mapping is important for understanding deforestation and climate change. While most existing plantation products are created manually, in this paper we study an ensemble learning based fram

NIAID Data Ecosystem40

LandCoverPT Dataset

遥感土地覆盖

LandCoverPT - A dataset for training Machine Learning models to classify the Portuguese territory land cover. The creation of the dataset used 26 Sentinel-2 products, captured in June and August 2019,

NIAID Data Ecosystem30

LandCoverNet Africa

遥感土地覆盖

图像语义分割

LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-1, Sentinel-2 and Landsat-8 missions in 2018. LandCoverNet

EarthData by NASA2023-10-10 更新40

c. 2010 Land Cover Classification in Addis Ababa, Ethiopia

遥感土地覆盖

城市建筑形态分析

This raster file shows the land cover classification around Addis Ababa, Ethiopia, in 2010. The classification results were based on Spot 5 imagery. Land cover classes in the attribute table are as fo

WORLD BANK GROUP2017-07-20 更新30

VetSen-BR

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