Cong Ou

Chinese Academy of Sciences | CAS · Institute of Geographic Sciences and Natural Resources

An effective simulation of the urban sprawl in an urban agglomeration is conducive to making regional policies. Previous studies verified the effectiveness of the cellular-automata (CA) model in simulating urban sprawl, and emphasized that the definition of transition rules is the key to the construction of the CA model. However, existing simulatio...

人地系统是人类活动与地理环境相互联系、相互作用而形成的复杂适应系统, 具有综合性、区域性、复杂性、开放性、动态性特征. 人地系统空间识别、类型诊断和强度评估是现代人地系统科学和地理学综合研究的核心内容, 是科学认知人地系统演化过程与机理、服务支撑人地系统协调与可持续发展决策的重要基础. 本文基于人地关系地域系统理论和地理学“三主三分”方法, 构建了自上而下的现代人地系统识别-诊断-评估科学认知体系, 综合土地利用、人口密度、夜间灯光指数、感兴趣点等多源空间数据, 利用决策树、空间聚类、人类足迹强度指数等定量模型方法, 开展了2000~2020年中国人地系统地域空间分区、主要类型分类和作用强度分级探测研究. 结果表明: (1) 中国人地系统面积占比由53.9%增至54.1%, 基本稳定在54%...

The systematic decline of rural areas in the process of rapid urbanization has become a global trend, creating greater challenges for sustainable rural development. As the spatial projection of socio-economic development and living environment in rural areas, the continuous tracking of rural settlements (RUS) is crucial to quantify the imbalance of...

UAV hyperspectral imagery (HSI) has the unique merits of both a very high spatial and spectral resolution, which provides a high-quality data source for automatic crop mapping. Recently, deep learning has been widely used in crop classification, however, the design of an accurate crop mapping model for HSI data still remains a challenging task. The...

Rapid urbanization and economic development have led the diversified food production and consumption. In this context, as a highly efficient and intensive cultivated land use form, Greenhouse-led cultivated land (GCL) has continuously increased in recent decades worldwide. Previously works have documented the irrational expansion of GCL in challeng...

This paper proposes an agricultural plastic covering classification algorithm based on multi-kernel active learning to achieve accurate classification of agricultural greenhouses and mulch film by introducing multi-source and multi-temporal satellite remote sensing data. Specifically, this paper first extracts their spectral features and texture fe...

Agricultural greenhouse (AG), one of the fastest-growing technology-based approaches worldwide in terms of controlling the environmental conditions of crops, plays an essential role in food production, resource conservation and the rural economy, but has also caused environmental and socio-economic problems due to policy promotion and market demand...

This paper provides a dataset of remote sensing-based classification for agricultural plastic greenhouses in China in 2019. Based on Google Earth Engine (GEE) cloud computing platform, the dataset is derived from the Sentinel-2 remote sensing images and random forest classification model with a spatial resolution of 30 meters. Specifically, we coll...

Using 8,450 Landsat images on the Google Earth Engine, we built the first Landsat-derived annual maps of agricultural greenhouse (AG) in Shandong province, China from 1989 to 2018. Two types of reference datasets, including AG and Non-AG, were labeled via visual inspection of high-resolution imagery available in Google Earth or Landsat imagery base...

Agricultural land abandonment and retirement are important and lead to different types of land use and cover change. Generally, abandonment and retirement are caused by different social and environmental factors and result in different ecological and economic benefits and costs. Faced with the complexity of agricultural land change over time, this...

As the important components of modern facility agriculture, both plastic greenhouses and mulching films have been widely utilized in agriculture production. Due to the similarity of spectral signatures, it remains a challenging task to separate plastic greenhouses and mulching films from each other. Meanwhile, deep learning has achieved great perfo...

Black soil is fertile, abundant with organic matter (OM) and is exceptional for farming. The black soil zone in northeast China is the third-largest black soil zone globally and produces a quarter of China’s commodity grain. However, the soil organic matter (SOM) in this zone is declining, and the quality of cultivated land is falling off rapidly d...

In order to protect the ecological environment and solve the poverty problem in the western region, China has established an ecological migration (EM) policy. This policy aims to relocate populations from poverty-stricken areas with fragile ecological environments, which inevitably leads to changes in land cover and the ecological environment. The...

Vegetable mapping from remote sensing imagery is important for precision agricultural activities such as automated pesticide spraying. Multi-temporal unmanned aerial vehicle (UAV) data has the merits of both very high spatial resolution and useful phenological information, which shows great potential for accurate vegetable classification, especiall...

Shandong Province is a large agricultural province in China. In recent years agricultural greenhouses have developed rapidly. The promotion of greenhouse technology played an important role in increasing agricultural production and efficiency in Shandong Province．Therefore it is necessary to monitor the dynamic changes of agricultural greenhouses i...

The greenhouse is the fastest growing food production approach and has become the symbol of protected agriculture with the development of agricultural modernization. Previous studies have verified the effectiveness of remote sensing techniques for mono-temporal greenhouse mapping. In practice, long-term monitoring of greenhouse from remote sensing...

Cultivated land is the most valuable resource for agriculture, and its quality is related to national food and agro-ecological security. The monitoring of cultivated land quality at the national scale is of great significance for making the cultivated land protection policy in China. To lay the monitoring sites representatively to reflect the quali...

The growing population in China has led to an increasing importance of crop area (CA) protection. A powerful tool for acquiring accurate and up-to-date CA maps is automatic mapping using information extracted from high spatial resolution remote sensing (RS) images. RS image information extraction includes feature classification, which is a long-sta...

Cellular automata (CA) has been widely used to simulate complex geographical processes. The core of a CA model is defining appropriate transition rules to constructing nonlinear relationship between spatial variables and geographical structure. This paper presents an intelligent approach to discover transition rules for CA model by using deep belie...

China’s rapid urbanization entails increasing importance of cropland protection, and automatic mapping through information extraction from high resolution remote-sensing (RS) images is a powerful tool towards this goal. RS images information extraction pertains the feature classification, which is a long-standing research issue in the RS community....

There are randomness and fuzziness to a large extent in soil nutrient synthetic evaluation. In order to effectively solve the uncertain transformation problem between the qualitative concepts and evaluation indexes, which are described by membership function, based on the cloud theory and fuzzy mathematics theory, a fuzzy synthetic evaluation metho...

Land ecological security is the core of human sustainable development. Due to the rapid growth of China's economy and the rapid advance of urbanization, the irrational use of land resources has produced a series of land ecological security problems, such as soil erosion, land salinization, land desertification and other issues. The relationship of...