评估从亚马逊地区大地遥感卫星历史时间序列中收集土地覆被参考数据时判读员的意见分歧

IF 3 3区地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

International Journal of Remote Sensing Pub Date : 2024-07-12 DOI:10.1080/01431161.2024.2373340

Mariane S. Reis, Lucélia S. de Barros, Manoel R. Rodrigues Neto, Dayane Rafaela V. de Moraes, Noeli Aline P. Moreira, Gabriel Mikael R. Alves, Bruno V. Adorno, Cassiano Gustavo Messias, Luciano V. Dutra, Camilo D. Rennó, Sidnei João S. Sant’Anna, Maria Isabel S. Escada

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引用次数: 0

摘要

从遥感图像分类中获得的土地覆被信息只有经过严格的精度评估才能发挥作用，而精度评估通常依赖于参考样本。随着实地数据的不断增加，对精度的要求也越来越高。

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Assessing interpreter’s disagreements in land cover reference data collection from historical Landsat time series in Amazon

Land cover information, derived from the classification of Remote Sensing images, is only useful if accompanied by a rigorous accuracy assessment, usually dependent on reference samples. As field d...

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来源期刊

International Journal of Remote Sensing 工程技术-成像科学与照相技术

CiteScore

7.00

自引率

5.90%

发文量

219

审稿时长

4.8 months

期刊介绍： The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).