Sharpening land use maps and predicting the trends of land use change using high resolution airborne image: A geostatistical approach

Yang, Bo Tong, Susanna T. Y. Fan, Rong

Sharpening land use maps and predicting the trends of land use change using high resolution airborne image: A geostatistical approach

Yang, Bo 1Tong, Susanna T. Y. 1Fan, Rong1
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作者信息

  • 1. Univ Cincinnati, Dept Geog, Cincinnati, OH 45221 USA
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Abstract

High quality land use/land cover (LULC) data with fine spatial resolution and frequent temporal coverage are indispensable for revealing detail information of the Earth's surface, characterizing LULC of the area, predicting the plausible land use changes, and assessing the viability and impacts of any development plans. While airborne imagery has high spatial resolution, it only provides limited temporal coverage over time. The LULC data from historical remote sensing images, such as those from Landsat, have frequent coverages over a long temporal period, but their spatial resolutions are low.

Key words

Land use/Change detection/Sharpening algorithm/Multispectral/Classification

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出版年

2019
International journal of applied earth observation and geoinformation

International journal of applied earth observation and geoinformation

SCI
ISSN:0303-2434
被引量1
参考文献量29
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