Hyperspectral Invasive Detection Dataset

kaggle2026-05-09 更新2026-06-17 收录

光谱遥感监测

生态入侵物种检测

数据链接：

https://www.kaggle.com/datasets/ziya07/hyperspectral-alien-plant-detection-dataset 数据链接链接失效反馈

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资源简介：

Spectral-Spatial Vegetation Features for Intelligent Ecological Mapping

用于智能生态制图的光谱-空间植被特征

创建时间：

2026-05-09

Replication Data for: When can we detect lianas from space? Towards a mechanistic understanding of liana-infested forest optics

光谱遥感监测

林地分类

Tree and Liana's information derived from hyperspectral data contributed to the paper: When can we detect lianas from space? Towards a mechanistic understanding of liana-infested forest optics. Data c

NIAID Data Ecosystem60

archive-lter-sev-aviris-19991020-route07

光谱遥感监测

生态系统研究

This LTER Remote Sensing spatial raster dataset consists of AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) imagery collected on 1999-10-20 and over the Sevilleta (SEV) LTER site.

DataONE2005-07-27 更新50

Landsat Enhanced Thematic Mapper image data for Sevilleta LTER collected on 2008-05-16

光谱遥感监测

地表覆盖变化

This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Sevilleta LTER, on 2008-05-16 (17:21:11.9540940Z). Data were collected by Landsat 5, row 036

DataONE2015-07-08 更新40

Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER collected on 2010-12-02

光谱遥感监测

海岸带生态制图

This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Virginia Coast Reserve LTER, on 2010-12-02 (15:30:28.5350500Z). Data were collected by Lands

Environmental Data Initiative Repository60

Landsat Enhanced Thematic Mapper image data for Jornada Basin LTER collected on 2009-06-11

光谱遥感监测

干旱区生态

This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Jornada Basin LTER, on 2009-06-11 (17:27:32.5800310Z). Data were collected by Landsat 5, row

Environmental Data Initiative Repository40

Hyperspectral Invasive Detection Dataset

资源简介：

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