Forest fragmentation in China and its effect on biodiversity

J Liu, DA Coomes, L Gibson, G Hu, J Liu… - Biological …, 2019 - Wiley Online Library
Land‐use change is fragmenting natural ecosystems, with major consequences for
biodiversity. This paper reviews fragmentation trends–historical and current–in China, the …

[图书][B] Dead epidemiologists: On the origins of COVID-19

R Wallace - 2020 - books.google.com
A history of COVID-19 and the sociopolitical crises that led to the 2020 global pandemic The
COVID-19 pandemic shocked the world. It shouldn't have. Since this century's turn …

Spatial-temporal pattern of land use conflict in China and its multilevel driving mechanisms

S Jiang, J Meng, L Zhu, H Cheng - Science of the Total Environment, 2021 - Elsevier
Land use conflict describes the incoordination of land use structure when meeting the
diverse human demands under the deterioration of natural environment, which is a sensitive …

[HTML][HTML] Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series

RN Masolele, V De Sy, M Herold, D Marcos… - Remote Sensing of …, 2021 - Elsevier
Assessing land-use following deforestation is vital for reducing emissions from deforestation
and forest degradation. In this paper, for the first time, we assess the potential of spatial …

Modeling urban land-use changes using a landscape-driven patch-based cellular automaton (LP-CA)

J Lin, X Li, Y Wen, P He - Cities, 2023 - Elsevier
Cellular automaton (CA) is a widely-used tool for modeling land-use changes that can
enhance our understanding of past and future urban development. Previous studies have …

[HTML][HTML] Development of decadal (1985–1995–2005) land use and land cover database for India

PS Roy, A Roy, PK Joshi, MP Kale, VK Srivastava… - Remote Sensing, 2015 - mdpi.com
India has experienced significant Land-Use and Land-Cover Change (LULCC) over the past
few decades. In this context, careful observation and mapping of LULCC using satellite data …

Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata

Y Zhai, Y Yao, Q Guan, X Liang, X Li… - International Journal …, 2020 - Taylor & Francis
Vector-based cellular automata (VCA) models have been applied in land use change
simulations at fine scales. However, the neighborhood effects of the driving factors are rarely …

[HTML][HTML] Land use and land cover changes and their effects on the landscape of Abaya-Chamo Basin, Southern Ethiopia

A WoldeYohannes, M Cotter, G Kelboro, W Dessalegn - Land, 2018 - mdpi.com
This study uses a combination of remote sensing data, field interviews and observations,
and landscape indices to examine the dynamics of land use and land cover (LULC), identify …

[HTML][HTML] Quantification of the land use/land cover dynamics and the degree of urban growth goodness for sustainable urban land use planning in Addis Ababa and the …

A Mohamed, H Worku - Journal of Urban Management, 2019 - Elsevier
Uncontrolled urban growth and haphazard land developments are one of the crucial
problems in Addis Ababa and the surrounding Oromia special zone causing environmental …

Urban growth modeling using earth observation datasets, Cellular Automata-Markov Chain model and urban metrics to measure urban footprints

K Kushwaha, MM Singh, SK Singh, A Patel - Remote Sensing Applications …, 2021 - Elsevier
Humans have significantly transformed land due to increasing population, consumerism and
urban functions. The urban areas are facing crisis of natural resources, changing micro …