Delineating urban growth boundaries with a CA-based FLUS model and morphological method

AbstractUrban growth boundaries (UGBs) have been commonly regarded as a useful tool for controlling urban sprawl. There is a need to create models tha

Deep-Local-Global Feature Fusion Framework for High Spatial Resolution Imagery Scene Classification

AbstractHigh spatial resolution (HSR) imagery scene classification has recently attracted increased attention. The bag-of-visual-words (BoVW) model is

Estimating effects of the "Community Opening" on alleviating traffic congestion in China's cities

AbstractAccording to an urban planning directive issued by the Chinese Central Government in early 2016, the Community Opening Policy will be put on t

Simulating urban expansion and impact on functional connectivity in the Three Gorges Reservoir Area

AbstractUnderstanding the impact of urban expansion on functional connectivity is significant to biodiversity conservation. Particularly, in the Three

Mapping fine-scale urban housing prices by fusing remote-sensing images and social media data

AbstractThe accurate mapping of urban housing prices at a fine scale is essential to policymaking and urban studies, such as adjusting economic factor

FLUS-UGB多情景模拟的珠江三角洲城市增长边界划定

AbstractArising from rapid growth of economy and population，urban sprawl has become a major challenge for sustainable urban development in the world.

A future land use simulation model for simulating land use scenarios by human and natural effects

AbstractLand use and land cover change (LUCC) simulation models are effective and reproducible tools for analyzing both the causes and consequences of

Scene Classification Based on the Fully Sparse Semantic Topic Model

AbstractIn high spatial resolution (HSR) imagery scene classification, it is a challenging task to recognize the high-level semantics from a large vol

基于“反规划”理念及FLUS模型的城镇用地增长边界划定研究

Abstract城镇用地增长边界划定对城镇用地扩张调控与管理具有重要意义，但当前仍无统一划定思路与方法。基于“反规划”理念，引入FLUS模型探讨城镇用地增长边界划定思路，并以徐州市贾汪区为例，采用2009年和2014年数据对FLUS模型可靠性进行验证，对2020年研究区土地利用变化进行情景模拟，在此

基于SD模型的中国2010—2050年土地利用变化情景模拟

摘要通过将中国划分为4个生态区，在综合考虑社会经济和自然因素的前提下，利用系统动力学的原理和方法，选取对土地利用变化影响最大的驱动因素，分区构建中国土地利用变化系统动力学模型并模拟4种发展情景下2050年中国土地利用变化情况。结果表明：在不同情景设定下，土地利用变化差异较大，其中平稳发展情景较理想，