数据链接：
官方服务：
资源简介：
长江三角洲地区30m湿地分布数据(1990年)
应用场景：
相关数据集
Response of semi-arid vegetation to agricultural drought determined by indices derived from MODIS satellite
ABSTRACT Indices based on data from remote sensors play an important role in the characterization, mapping and monitoring of a drought event. Thus, the objective of this study was to monitor the dynam
DataCite Commons2023-05-16 更新200
咸海流域蒸散发数据集（2019）
数据内容：咸海流域2019年蒸散发数据集。 数据来源及加工方法：借助IDL平台，利用SEBS算法和美国国家航空航天局中分辨率成像光谱仪（MODIS）相关数据，求出2019年咸海流域蒸散发结果。 数据质量：空间分辨率为1000m×1000m，时间分辨率为8天。 数据应用成果及前景：在气候变化背景下，可用于气象要素和植被特征相关关系分析，也可以与其它植被数据和生态数据相结合分析土地退化和水资源利
国家青藏高原科学数据中心2022-01-26 更新90
Satellite Color Images, Vegetation Indices, and Metabolism Indices from Eisen...
The "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments covering the entirety of Germany from 1984 to 2023. The image data are divided into...
B2FIND30
Dataset for Landslide Susceptibility Assessment Based on SAR Vegetation Index Temporal Stability in the Lijiang River Basin
This dataset supports the study titled "Application of a Negative Sample Sampling Strategy Based on SAR Vegetation Index Temporal Stability in Landslide Susceptibility Assessment". The dataset includ
Zenodo2026-03-10 更新100
UAV Remote Sensing-Based Random Forest Modeling of Highway Vegetation Biomass and Sample Library Construction
To accurately monitor highway vegetation biomass and support carbon stock assessments and ecological restoration under carbon neutrality goals, this study integrates UAV technology with random forest
DataCite Commons2025-12-25 更新60
