Results 111 to 120 of about 22,574 (211)

Identifying and Forecasting Potential Biophysical Risk Areas within a Tropical Mangrove Ecosystem Using Multi-Sensor Data [PDF]

open access: yes
Mangroves are one of the most productive ecosystems known for provisioning of various ecosystem goods and services. They help in sequestering large amounts of carbon, protecting coastline against erosion, and reducing impacts of natural disasters such as
Dahale, Subash   +7 more
core   +1 more source

Effect of the land use change characteristics on the air pollution patterns above the greater Athens area (GAA) after 2004 [PDF]

open access: yes, 2013
The Attica Peninsula has experienced the rapid expansion of the Athens urban area, prior to the Athens 2004 Olympics. As a result, the distribution of pollutant sources and emission patterns has changed with a subsequent effect on the distribution of ...
Assimakopoulos, V.D.   +3 more
core  

Nonpoint source pollution, space, time, and asymmetric information, a deposit refund approach [PDF]

open access: yes
The incorporation of space allows the establishment of a more precise relationship between a contaminating input, a contaminating byproduct and emissions that reach the final receptor.
Berga, Dolors, Goetz, Renan U.
core  

Simulation of Land Use and Land Cover of Peatland Bengkalis Using QGIS

open access: yesJOIV: International Journal on Informatics Visualization
The phenomenon of forest and peatland fires in Bengkalis Regency is inseparable from the change in land use and cover (LULC). The dynamic LULC in Bengkalis Regency is caused by economic factors sourced from land-based resource management.
Fauziah Fauziah   +2 more
doaj   +1 more source

Quantifying LULC Changes in Constantine, Algeria Using Google Earth Engine

open access: yesIndonesian Journal of Social Science Research
The objective of this research is to analyze land use changes in the municipality of Constantine over a thirty year period (1993 – 2023) using Landsat satellite data provided through the Google Earth Engine (GEE) platform and a supervised classification approach. Five land cover classes were mapped at six key dates: water bodies, green spaces, built-up
Maya Benoumeldjadj   +3 more
openaire   +1 more source

Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decade

open access: yesRomanian Journal of Ecology & Environmental Chemistry
This study aims to examine the temporal dynamics of Niamotpur Upazila, Naogaon District, focusing on Land Use Land cover (LULC) changes over thirty years (2003,2013, and 2023) and providing predictive insights for the next decade (2024÷2033).
Nazmul Hossain   +7 more
doaj   +1 more source

Common features and common I(2) trends in VAR systems [PDF]

open access: yes
This paper discusses serial correlation common features, CF, and integration of order 2, I(2), in VAR systems. The interplay of the CF restrictions and the I(2) conditions is discussed both for full VAR systems and for conditional systems with no levels ...
Paruolo Paolo
core  

Master\u27s Project - Wildlife Habitat Linkages Surrounding the Lake George and Southern Lake Champlain Region [PDF]

open access: yes, 2016
Conservation priorities – when developed systematically and objectively – can maximize land protection efforts in heterogeneous landscapes susceptible to parcelization and development.
Talbot, Sam E
core   +1 more source

Spatio-temporal Evolution of Land Surface Temperature and Its Response to LULC in the Urban Agglomeration of Central Yunnan

open access: yesShuitu Baochi Xuebao
[Objective] To investigate the spatial and temporal variations of land surface temperature (LST) in central Yunnan urban agglomeration and its relationship with land use/land cover (LULC) types.
LIN Zhiqiang   +7 more
doaj   +1 more source

Hybrid methods for land use and land cover classification using remote sensing and combined spectral feature extraction: A case study of Najran City, KSA

open access: yesOpen Geosciences
In recent years, the classification of land change has revolutionized the ability to monitor and understand dynamic changes occurring on the Earth’s surface. Artificial intelligence (AI) techniques must improve the performance and accuracy of land change
Alshahrani Mohammed   +4 more
doaj   +1 more source

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