S2-Agri - Patch

NIAID Data Ecosystem2026-03-14 收录

遥感作物分类

精准农业监测

数据链接：

https://zenodo.org/record/5815522 数据链接链接失效反馈

官方服务：

资源简介：

Dataset of satellite image time series for parcel-based crop type classification, in pixel patch format. See related article for further details.

创建时间：

2023-01-22

Rural IoT soil data

精准农业监测

物联网数据清洗

Measurement campaign was performed across the entire growing season of 2023. Seven Arduino+LoRaWAN sensors were measuring soil moisture, temperature and pH, as well as solar irradiance in the radius o

DataCite Commons2024-07-14 更新90

Crop and irrigation type dataset for Moroccan agricultural regions: A ground-truth resource for earth observation validation

农业遥感

精准农业监测

This dataset represents a first attempt to freely share georeferenced North African irrigation methods, polygons of land use/cover, with georeferenced photos across Moroccan agricultural regions over

Figshare2025-02-26 更新50

Coefficients of correlations of the detected parameters between leaf (xx.l) and berry (xx.b) of grapevines.

葡萄生理性状关联

精准农业监测

Coefficients of correlations of the detected parameters between leaf (xx.l) and berry (xx.b) of grapevines.

NIAID Data Ecosystem40

Improving cross-regional model transfer performance in crop classification by crop time series correction

遥感作物分类

模型迁移

Cross-Regional Model Transfer (CRMT) provides a solution to crop classification challenges in target regions with limited labeled samples. However, when the source region (source domain) and the targe

DataCite Commons2026-01-26 更新60

Orthophoto of the test area.

精准农业监测

叶绿素含量

As a key substance for crop photosynthesis, chlorophyll content is closely related to crop growth and health. Inversion of chlorophyll content using unmanned aerial vehicle (UAV) visible light images

Figshare2025-03-24 更新40

S2-Agri - Patch

资源简介：

相关数据集