Results 81 to 90 of about 23,400 (235)
Feedbacks on VGI in-situ campaign for updating LULC data [PDF]
Abstract. This work is part of LandSense European H2020 project aiming to build a citizen platform for monitoring Land Use and Land Cover (LULC) data by integrating different types of information such as citizens-contributed data and proposing a set of services (Matheus et al., 2018).
Jolivet, Laurence +5 more
openaire +2 more sources
Euryops pinifolius, vulnerable plant species in Ethiopia's Afroalpine ecosystem, faces serious threats from overexploitation for fuelwood. Using the MaxEnt model (AUC = 0.985), this study identified key environmental factors‐such as temperature, altitude, vegetation cover, and precipitation seasonality‐affecting its current and future habitat ...
Liyew Birhanu +5 more
wiley +1 more source
Climate Change Alters Elevational Distribution Patterns of Cormus domestica Habitat
This study utilizes species distribution models to project the habitat shifts of Cormus domestica in Italy, predicting a substantial range reduction of 32%–68% by 2100 driven primarily by rising annual mean temperatures. The results indicate a significant shift of suitable habitats toward higher elevations, creating a scenario where the necessary ...
Qianjiang Li +4 more
wiley +1 more source
Sustainable land resource management with agroforestry: empirical evidence from the Sunyani west district of Ghana, West Africa [PDF]
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Ashiagbor, G.
core
Modelling regional land change scenarios to assess land abandonment and reforestation dynamics in the Pyrenees (France) [PDF]
International audienceOver the last decades and centuries, European mountain landscapes have experienced substantial transformations. Natural and anthropogenic LULC changes (land use and land cover changes), especially agro-pastoral activities, have ...
A Gibon +52 more
core +3 more sources
This study extends upon the results of [1] to include the modeling of Land use/Land cover (LULC). This study looks at the changes that occurred from 2010 to 2030 in Tikrit district, Iraq by predicting LULC for the year target 2030 by using the classified images for two points of time (2000 - 2010) as a foundation for the modeling process. The projected
Hadi, Sinan Jasim +2 more
openaire +1 more source
Reviewing and benchmarking ecological modelling practices in the context of land use
Despite habitat loss and degradation are the primary drivers of biodiversity loss, different conclusions have been drawn about the importance of land‐use or land‐cover (LULC) change for biodiversity. Differences may be due to the difficulty of framing a coherent model design to assess LULC effects.
Elie Gaget +6 more
wiley +1 more source
Landslide susceptibility mapping in India's Western Ghats using machine learning revealed high‐risk zones driven by deforestation, slope alteration and road proximity. The Random Forest model showed highest accuracy, supporting targeted mitigation, planning and early warning systems.
Manoranjan Mishra +4 more
wiley +1 more source
Watershed Investigative Support to the Poteau Valley Improvement Authority: Stream Water Quality to Support HUC 12 Prioritization in the Lake Wister Watershed, Oklahoma [PDF]
Nonpoint source pollution associated with human land use (agriculture and urbanization) is one of the leading causes of impairment to waterways in the United States (EPA, 2000).
Austin, Bradley J. +2 more
core +2 more sources
Climate Change Attribution Using Empirical Decomposition of Climatic Data
The climate change attribution problem is addressed using empirical decomposition. Cycles in solar motion and activity of 60 and 20 years were used to develop an empirical model of Earth temperature variations.
Loehle, Craig, Scafetta, Nicola
core +1 more source

