the growing population and increasing socio-economic necessitiescreates a pressure on land use/land cover. nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. this study investigates the land use changes in part of hableh rood watershed of iran using landsat 7 and 8 (sensor etm+ and oli) i...

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Economic growth in China is accompanied by many problems, such as rapid deterioration of the environment and a sharp decline in the area of arable land. China’s current land-use planning system fails to deal with these problems, especially at the regional level. The lack of sustainable spatial allocation at regional level has become a pressing problem. This article aims to: (1) analyze the reas...

This paper describes a class of spatial planning problems in which di,erent land uses have to be allocated across a geographical region, subject to a variety of constraints and con.icting management objectives. A goal programming/reference point approach to the problem is formulated, which leads however to a di/cult nonlinear combinatorial optimization problem. A special purpose genetic algorit...

Abstract Satellite Image classification provides information about land use cover (LULC) and this is required in many applications such as Urban planning environmental monitoring. Recently, deep learning techniques were applied for satellite image achieved higher efficiency. The existing have limitations of overfitting problems due to the convolutional neural network (CNN) model generating more...

Urban land use/land cover (LULC) classification has long been a hotspot for remote sensing applications. With high spatio-temporal resolution and multispectral, the recently launched GF-6 satellite provides ideal open imagery LULC mapping. In this study, we utilized multitemporal images to generate six types of features, including spectral bands, texture built-up, waterbody, vegetation, red-edg...

The sectoral structure of most agricultural enterprises is unbalanced and uncoordinated, which underlies the need in deepened research of its improvement. This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. Mathematical economic modeling based on optimization and simulation models has been applied for the for...