Experts' Perception of the Key Drivers of Land|Use/Land|Cover ...

Land use | European Environment Agency's home page

The way we use land constitutes one of the main drivers of environmental degradation and climate change. 1Overview2Key facts3EU action.

Land Use and Cover Change - Geography - Oxford Bibliographies

Land use and cover change (LUCC) is the study of land surface change. Land use (such as agriculture, pasture, or plantation) describes human use of land.

Prediction of urban expansion by using land cover change detection ...

Urbanization is a common trend worldwide (UN, 2018) that occurred by the concentration of population in urban areas, resulting in land transformation (Shao et ...

Deforestation and Forest Degradation | Threats | WWF

Forests cover nearly one-third of the land area on our planet and ... use their forests responsibly. WWF also advocates for group ...

Changes in Land Use and Land Cover: A Global Perspective

First, we have included cover types that are important to global change research from the points of view of (1) the physical climate system on the global scale, ...

Modeling future land use and land cover under different scenarios ...

Key findings indicate significant trends, such as reductions in forest and agricultural lands in the TM and ED scenarios, with rangeland ...

Land Use and Land Cover Change Assessment and - ProQuest

Agricultural development, population growth, livestock grazing, and wood extraction were the most significant socioeconomic drivers of LULC change in the ...

land use-land cover: Topics by Science.gov

A contribution to the 3rd National Climate Assessment report, discussing the following key messages: 1. Choices about land-use and land-cover patterns have ...

Stakeholders' Perceptions on Agricultural Land-Use Change, and ...

The forest dwellers and the experts also identified infrastructure development, as key factors driving ALUC. ... Drivers of land use/land cover ...

Integrating stakeholders' perspectives and spatial modelling ... - PLOS

Rapid rates of land use and land cover change (LULCC) in eastern Africa and limited instances of genuinely equal partnerships involving ...

View of Analysis of the Factors Affecting Changes in Land Cover ...

In order to develop scenarios by a 20-member expert panel, 19 key drivers of the changes in land cover were homogenized and 9 primary descriptor were defined.

Drivers and Implications of Land Use/Land Cover Dynamics in ...

A supervised classification with the maximum likelihood classifier was used to classify the images. Key informant interviews and focused group ...

Land Use/Land Cover and Environmental Photointerpretation Keys

scopic depth perception. Binocular vision can be simulated through use of ... driving ranges, and undeveloped land within the urban area. Environmental ...

Projected land-use change impacts on ecosystem services ... - PNAS

We analyzed three policy alternatives that provide incentives to maintain and expand forest cover, conserve natural habitats, and limit urban sprawl. Policy ...

Modeling of land use and land cover changes using google earth ...

Focus group discussion and key informant interviews were also used to get further data regarding LULC dynamics. Support Vector Machine (SVM), ...

An expert-based ecosystem services assessment under land use and

processes and main urban drivers of land use and land cover change (LULCC). CPT= Conditional. Probability Table, BBN= Bayesian Belief Network, ES= Ecosystem ...

Analyze of spatial extent and current condition of land use land ...

LULC classes were classified (from Landsat images) to develop land use land cover change maps for the study area. Landsat images were grouped ...

Identifying hotspots in land use land cover change and the drivers in ...

Land use/land cover change (LUCC) is a major underlying cause of global environmental change. Present land use practices are typically more ...

Analysis of the Current and Future Prediction of Land Use/Land ...

This study aimed to evaluate land use/land cover changes (1987–2017), prediction (2032–2047), and identify the drivers of Majang Forest Biosphere Reserves.

Suite of free, open-source tools to help even non-experts monitor ...

New online platforms now enable viewing and analysis of global-scale imagery but cannot suggest the drivers of land cover change. Commercially ...