Results 11 to 20 of about 12,403 (242)
GIS based method for mapping actual LULC by combining seasonal LULCs
MethodsX, 2023 One of the most significant applications of remote sensing data is to prepare land use and land cover (LULC) maps. LULC maps are always affected by seasonality and a single LULC map of a particular month is prepared to represent a year in most of the research, especially in change detection research.
Md. Sharafat Chowdhury
openaire +4 more sources
Semantic Boosting: Enhancing Deep Learning Based LULC Classification [PDF]
Remote Sensing, 2021 The classification of land use and land cover (LULC) is a well-studied task within the domain of remote sensing and geographic information science. It traditionally relies on remotely sensed imagery and therefore models land cover classes with respect to their electromagnetic reflectances, aggregated in pixels. This paper introduces a methodology which
Marvin Mc Cutchan +3 more
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Employing Neural Networks Algorithm for LULC Mapping
Baltic Journal of Modern Computing, 2020 Land use/land cover (LULC) maps represent a primary requirement for several geospatial applications around the world such as change detection, time series analysis, environment, and urban researches. Mapping LULC from remotely sensed data based on satellite image classification handle the rapid changes in extensive geographical areas. Several effective
Sohaib K. M. Abujayyab +1 more
openaire +3 more sources
Automated LULC map production using deep neural networks [PDF]
International Journal of Remote Sensing, 2019 This article presents an approach to automating the creation of land-use/land-cover classification (LULC) maps from satellite images using deep neural networks that were developed to perform semant...
Henry, Christopher J. +7 more
openaire +3 more sources
Performance evaluation of Machine Learning algorithms for LULC classification: A case study of Fez-Meknes region [PDF]
E3S Web of ConferencesSignificant advancements have been made in remote sensing technologies, with increasingly refined applications in creating LULC maps. The integration of Machine Learning-based approaches has been explored to develop LULC maps with varying levels of ...
Khaldi Loubna +2 more
doaj +2 more sources
Information Processing in Agriculture, 2015 Changes of Land Use and Land Cover (LULC) affect atmospheric, climatic, and biological spheres of the earth. Accurate LULC map offers detail information for resources management and intergovernmental cooperation to debate global warming and biodiversity ...
Chinsu Lin +2 more
exaly +3 more sources
Journal of Water and Climate Change, 2023 Wetland has been substantially decreased by anthropogenic activities worldwide, requiring urgent conservation action. The present study aimed to analyze the effects of land use land cover change on wetland dynamics from 1992 to 2022 in Jimma City ...
Yifru Waktole Berkessa +7 more
doaj +1 more source
, 2023 The "Sen-2 LULC Dataset" is a collection of 2,13,750+ pre-processed 10 m resolution images representing 7 distinct classes of Land Use Land Cover. The 7 classes are water, Dense forest, Sparse forest, Barren land, Built up, Agriculture land and
Sawant, S (via Mendeley Data)
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Land use land cover mapping using advanced machine learning classifiers
Ekológia (Bratislava), 2021 Due to the recent climate changes such as floods and droughts, there is a need for Land Use Land Cover (LULC) mapping to monitor environmental changes that have effects on ecology, policy management, health and disaster management. As such, in this study,
Jamali Ali
doaj +1 more source
The 2017 Land Use/Land Cover Map of Catalonia based on Sentinel-2 images and auxiliary data
Revista de Teledetección, 2020 This paper details the process of generating the 2017 Land Use/Land Cover Map of Catalonia (MUCSC) using automatic classification of satellite imagery and auxiliary cartographic and remote sensing data.
O. González-Guerrero, X. Pons
doaj +1 more source