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加拿大林务局国家森林资源清查中的人类影响土地利用图层

IF 2 4区 地球科学 Q3 REMOTE SENSING
Canadian Journal of Remote Sensing Pub Date : 2024-02-22 DOI:10.1080/07038992.2023.2299327
David A. Hill
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引用次数: 0

摘要

人类影响土地利用图层 (HILL) 数据集是通过对高分辨率卫星图像进行直观判读而开发的。加拿大国家森林资源清查中的 26,388 个 2 × 2 千米的照片地块...
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Human Impact Land Use Layer from the Canadian Forest Service National Forest Inventory
The Human Impact Land Use Layer (HILL) dataset was developed with visual interpretation of high-resolution satellite imagery. 26,388 2 × 2 km photo plots from the Canadian National Forest Inventory...
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来源期刊
Canadian Journal of Remote Sensing
Canadian Journal of Remote Sensing REMOTE SENSING-
自引率
3.80%
发文量
40
期刊介绍： Canadian Journal of Remote Sensing / Journal canadien de télédétection is a publication of the Canadian Aeronautics and Space Institute (CASI) and the official journal of the Canadian Remote Sensing Society (CRSS-SCT). Canadian Journal of Remote Sensing provides a forum for the publication of scientific research and review articles. The journal publishes topics including sensor and algorithm development, image processing techniques and advances focused on a wide range of remote sensing applications including, but not restricted to; forestry and agriculture, ecology, hydrology and water resources, oceans and ice, geology, urban, atmosphere, and environmental science. Articles can cover local to global scales and can be directly relevant to the Canadian, or equally important, the international community. The international editorial board provides expertise in a wide range of remote sensing theory and applications.
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