aliance_ai_indexes

Name: aliance_ai_indexes
Creator: hub4everybody.com
Published: 2025-03-22T17:27:15+08:00

hub4everybody.com2024-08-29 更新2025-03-22 收录

遥感

农业监测

数据链接：

https://hub4everybody.com/micka/en/record/basic/m-4e137397-6207-4acf-a5ff-641092b4c5b9 数据链接链接失效反馈

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资源简介：

NDVI and S2 indexes predicted by AI model.

由人工智能模型预测的归一化植被指数（NDVI）及S2指数。

提供机构：

数据内容：咸海流域2019年归一化植被指数数据。数据来源及加工方法：来源于美国国家航空航天局中分辨率成像光谱仪，提取MOD13A2产品第一波段作为归一化植被指数数据，乘以比例因子0.0001。数据质量：空间分辨率为1000m×1000m，时间分辨率为一个月，每个像元的值为每个月的归一化植被指数的平均值。数据应用成果：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

国家青藏高原科学数据中心2022-01-27 更新150

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER collected on 2003-05-31

遥感

地表反射率

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Central Arizona - Phoenix LTER, originally collected on 2003-05-31 (17:32:5

DataONE2015-07-21 更新80

Database of Global Wetland Validation Samples_GWVS.rar

湿地测绘

遥感

A database of global wetland validation samples for wetland mapping.

DataCite Commons2025-06-01 更新70

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER collected on 2002-07-27

遥感

生态学研究

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for California Current Ecosystem LTER, originally collected on 2002-07-27 (17:5

DataONE2015-07-24 更新110

A dataset of 512x512 tundra lakes imagery and binary masks from Sentinel-1 in the Yamal and Alaska areas, summer, 2015-2022

遥感

气候变化

Data are available at: arcticdata.io/data/10.18739/A2N29P78F Permafrost tundra contains more than twice as much carbon as is currently in the atmosphere and is warming six times as fast as the global

DataONE2023-03-16 更新80

aliance_ai_indexes

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