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Community Organizations Land Journal
Land Journal
Land Journal
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Land (ISSN 2073-445X) is an international, scholarly, open access journal of land use and land management published quarterly online by MDPI. 

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Displaying 806 - 810 of 2258

Surface Runoff Responses to Suburban Growth: An Integration of Remote Sensing, GIS, and Curve Number

Peer-reviewed publication
Dezembro, 2020
Global

Suburban growth and its impacts on surface runoff were investigated using the soil conservation service curve number (SCS-CN) model, compared with the integrated advanced remote sensing and geographic information system (GIS)-based integrated approach, over South Kingston, Rhode Island, USA. This study analyzed and employed the supervised classification method on four Landsat images from 1994, 2004, 2014, and 2020 to detect land-use pattern changes through remote sensing applications. Results showed that 68.6% urban land expansion was reported from 1994 to 2020 in this suburban area.

Assessing Matching Characteristics and Spatial Differences between Supply and Demand of Ecosystem Services: A Case Study in Hangzhou, China

Peer-reviewed publication
Dezembro, 2020
China

Ecosystem services (ESs) is a term used to describe the foundations of the well-being of human society, and several relevant studies have been carried out in this area. However, given the fact that the complex trade-offs/synergy relationships of ESs are a challenging area, studies on matching mechanisms for ES supply and demand are still rare.

Agricultural Land Transition in the “Groundnut Basin” of Senegal: 2009 to 2018

Peer-reviewed publication
Dezembro, 2020
Senegal

The study aims to reveal the transition features of agricultural land use in the Groundnut Basin of Senegal from 2009 to 2018, especially the impact of urbanization on agricultural land and the viewpoint of farmland spatiotemporal evolution. Integrated data of time series MCD12Q1 land-use images of 2009, 2012, 2015, and 2018 were used to provide a land transition in agricultural and urban areas through the synergistic methodology. Socio-economic data was also used to serve as a basis for the argument.

Delineating Urban Functional Zones Using U-Net Deep Learning: Case Study of Kuancheng District, Changchun, China

Peer-reviewed publication
Dezembro, 2020
Global

Scientific functional zone planning is the key to achieving long-term development goals for cities. The rapid development of remote sensing technology allows for the identification of urban functional zones, which is important since they serve as basic spatial units for urban planning and functioning. The accuracy of three methods—kernel density estimation, term frequency-inverse document frequency, and deep learning—for detecting urban functional zones was investigated using the Gaode points of interest, high-resolution satellite images, and OpenStreetMap.

Dilemma Faced by Management Staff in China’s Protected Areas

Peer-reviewed publication
Dezembro, 2020
China

Protected areas (PAs) are designated to safeguard specific areas with natural and cultural values. Importantly, appropriate management is vital for PAs to achieve their conservation goals. Therefore, the management staff is essential for guaranteeing the successful management of PAs and delivering outstanding organizational performance. In China, staff faces many difficulties when conducting conservation activities because of an inefficient management system, and the lack of relevant laws and regulations.