Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Future land-use changes and its impacts on terrestrial ecosystem services: A review
Terrestrial ecosystem services (ES) are vulnerable to land use and land cover changes
(LULCC). These changes are triggered by different drivers of change (eg, economic, social …
(LULCC). These changes are triggered by different drivers of change (eg, economic, social …
Nature-based solutions in Bangladesh: evidence of effectiveness for addressing climate change and other sustainable development goals
Many lower-income countries are highly vulnerable to the impacts of natural disasters and
climate change, due to their geographical location and high levels of poverty. In response …
climate change, due to their geographical location and high levels of poverty. In response …
[HTML][HTML] Urban land use change simulation and spatial responses of ecosystem service value under multiple scenarios: A case study of Wuhan, China
X Zhang, W Ren, H Peng - Ecological Indicators, 2022 - Elsevier
Simulation of changes in ecosystem service value (ESV) caused by land use change in
Wuhan under multiple scenarios is of great significance for ensuring urban ecological …
Wuhan under multiple scenarios is of great significance for ensuring urban ecological …
Impacts of land use and land cover change on ecosystem service values in the Afroalpine area of Guna Mountain, Northwest Ethiopia
Ecosystem service changes caused by land use and land cover change (LULCC) is an
important indictor and early warning of ecological changes. However, few attempts have …
important indictor and early warning of ecological changes. However, few attempts have …
Modelling land use/land cover (LULC) change dynamics, future prospects, and its environmental impacts based on geospatial data models and remote sensing data
The dynamic change in land use/land cover (LULC) caused by rapid urbanization has
become a major concern in Lahore, causing a variety of socioeconomic and environmental …
become a major concern in Lahore, causing a variety of socioeconomic and environmental …
[HTML][HTML] Spatio-temporal changes of land use land cover and ecosystem service values in coastal Bangladesh
Increased human activity and dynamic climate variables have radically altered the global
land use land cover (LULC) pattern and the ecosystem services (ES) they offer. However …
land use land cover (LULC) pattern and the ecosystem services (ES) they offer. However …
[HTML][HTML] Impact of land use and land cover changes on urban ecosystem service value in Dhaka, Bangladesh
Urban ecosystem services provide a wide range of services to sustain life, social relation,
health, etc., and address most of the challenges, including climate change and …
health, etc., and address most of the challenges, including climate change and …
[HTML][HTML] Dynamics of plantation forest development and ecosystem carbon storage change in coastal Bangladesh
Plantation forest has an immense potential for significantly contributing to the global carbon
cycle for regulating climate change. Assessing the spatio-temporal distribution of plantation …
cycle for regulating climate change. Assessing the spatio-temporal distribution of plantation …
Development of an integrated peri-urban wetland degradation assessment approach for the Chatra Wetland in eastern India
The loss of peri-urban wetlands is a major side effect of urbanization in India in recent days.
Timely and proper assessment of wetland area change is essential for the conservation of …
Timely and proper assessment of wetland area change is essential for the conservation of …
[HTML][HTML] Leveraging machine learning for analyzing the nexus between land use and land cover change, land surface temperature and biophysical indices in an eco …
B Mandal - Results in Engineering, 2024 - Elsevier
This present study aims to evaluate land use and land cover changes using five machine-
learning algorithms in Google Earth Engine. The performance of these machine learning …
learning algorithms in Google Earth Engine. The performance of these machine learning …