Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …

We are currently living in the era of big data. The volume of collected or archived geospatial
data for land use and land cover (LULC) mapping including remotely sensed satellite …

In the context of big data and the Internet of Things, with the advancement of geospatial data
acquisition and retrieval, the volume of available geospatial data is increasing every minute …

Although explainable artificial intelligence (XAI) promises considerable progress in
glassboxing deep learning models, there are challenges in applying XAI to geospatial …

Large-scale projects, such as the construction of railways and highways, usually cause an
extensive Land Use Land Cover Change (LULCC). The China-Central Asia-West Asia …

While eXplainable Artificial Intelligence (XAI) has significant potential to glassbox Deep
Learning, there are challenges in applying it in the domain of Geospatial Artificial …

土地利用变化研究中存在重格局轻过程, 重模拟轻度量的现象, 缺乏对序列快照间土地利用单元
演化过程的时空模式的探查和度量研究. 该文以土地利用变化的序列时空数据为研究对象 …

Accurate and timely monitoring of urban land-use and land-cover (LULC) change is useful
for understanding the various impacts of human activity on the urban environment. In order …

Land use and coverage change (LUCC) is an important research field of global change.
Currently, land use and coverage change research focuses on the analysis of land use …

This book examines the use of big data in regenerative urban environment and how data
helps in functional planning and design solutions. This book is one of the first endeavors to …