基于多层感知器和马尔可夫链模型的西非塞内加尔河流域两个流域土地利用和土地覆盖变化预测

IF 3.7 4区地球科学 Q2 REMOTE SENSING

European Journal of Remote Sensing Pub Date : 2023-07-06 DOI:10.1080/22797254.2023.2231137

Mame Henriette Astou Sambou, J. Albergel, E. Vissin, S. Liersch, H. Koch, Z. Szantoi, W. Baba, Moussé Landing Sane, Ibrahima Toure

引用次数: 1

摘要

土地利用与土地覆盖变化(LULCC)是一个重大的全球性问题

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Prediction of land use and land cover change in two watersheds in the Senegal River basin (West Africa) using the Multilayer Perceptron and Markov chain model

Land use and Land cover change (LULCC) is a major global problem

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来源期刊

European Journal of Remote Sensing REMOTE SENSING-

CiteScore

7.00

自引率

2.50%

发文量

审稿时长

>12 weeks

期刊介绍： European Journal of Remote Sensing publishes research papers and review articles related to the use of remote sensing technologies. The Journal welcomes submissions on all applications related to the use of active or passive remote sensing to terrestrial, oceanic, and atmospheric environments. The most common thematic areas covered by the Journal include: -land use/land cover -geology, earth and geoscience -agriculture and forestry -geography and landscape -ecology and environmental science -support to land management -hydrology and water resources -atmosphere and meteorology -oceanography -new sensor systems, missions and software/algorithms -pre processing/calibration -classifications -time series/change analysis -data integration/merging/fusion -image processing and analysis -modelling European Journal of Remote Sensing is a fully open access journal. This means all submitted articles will, if accepted, be available for anyone to read anywhere, at any time, immediately on publication. There are no charges for submission to this journal.