Results 31 to 40 of about 12,403 (242)

Spatiotemporal shifts in thermal climate in responses to urban cover changes: a-case analysis of major cities in Punjab, Pakistan

Geomatics, Natural Hazards & Risk, 2021
This study investigates the relationship of urban thermal environment (UTE) with various influential factors as well as ecological conditions. The relation between LST and land use and land cover (LULC) changes was explored in terms of remote-sensing (RS)
Adil Dilawar, Baozhang Chen, Yongyut Trisurat, Venus Tuankrua, Arfan Arshad, Yawar Hussain, Simon Measho, Lifeng Guo, Alphonse Kayiranga, Huifang Zhang, Fei Wang, Shaobo Sun   +11 more
doaj   +1 more source

LULC data

, 2022
The LULC data of the GBA in 2020.
gao ku (13920561)
core   +1 more source

Spatio-Temporal Analysis of Solar Energy Potential for Domestic and Agricultural Utilization to Diminish Poverty in Jubek State, South Sudan, Africa

Energies, 2020
The study aimed to generate informative data on solar radiation in order to establish sustainable solar energy that will support domestic needs and agricultural production and processing industries in Jubek State, South Sudan.
Adam Juma Abdallah Gudo, Marye Belete, Ghali Abdullahi Abubakar, Jinsong Deng   +3 more
doaj   +1 more source

Do natural landscapes contribute to reducing Land Surface Temperature (LST)? A case study from Muthurajawela wetland, Sri Lanka

Journal of Degraded and Mining Lands Management, 2022
Microclimate regulation is one of the most significant ecosystem services provided by wetlands. The present study attempted to investigate the cooling effect provided by Muthurajawela, a coastal Ramsar wetland using Remote Sensing and GIS.  The variation
Harsha Dahanayake, Deepthi Wickramasinghe, DDGL Dahanayaka   +2 more
doaj   +1 more source

Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest

Geocarto International, 2023
We used the Cellular Automata Markov (CA-Markov) integrated technique to study land use and land cover (LULC) changes in the Cholistan and Thal deserts in Punjab, Pakistan.
Muhammad Asif, Jamil Hasan Kazmi, Aqil Tariq, Na Zhao, Rufat Guluzade, Walid Soufan, Khalid F. Almutairi, Ayman El Sabagh, Muhammad Aslam   +8 more
doaj   +1 more source

Vegetation dynamics of Sangkub watershed in North Sulawesi Province indicated by NDVI of Landsat data

Journal of Degraded and Mining Lands Management, 2022
Vegetation can be an important indicator of ecosystem change, the influence of anthropogenic and non-anthropogenic factors. Therefore, it is important to study the dynamics of vegetation changes.
Veybi Djoharam, Widiatmaka Widiatmaka, Marimin Marimin, Dyah Retno Panuju, Suria Darma Tarigan   +4 more
doaj   +1 more source

EUSALP LULC map 2020

, 2023
A detailed LULC map of the European Alps with 65 classes and up to 5m spatial ...
Heidi Simion (13161615), Sebastian Candiago (12199991), Lukas Egarter Vigl (12200000), Thomas Marsoner (13161612), Valentina Giombini (13161618)   +4 more
core   +1 more source

Regional mapping and monitoring land use/land cover changes: a modified approach using an ensemble machine learning and multitemporal Landsat data

Geocarto International, 2023
Regional mapping and monitoring of land use/land cover (LULC) still remain a challenge that depend on classifier and remote sensing data selected. This study aims to create precise LULC maps and explore the efficiency of an ensemble machine learning ...
Samy I. Elmahdy, Mohamed M. Mohamed
doaj   +1 more source

Modelling LULC [PDF]

, 2014
7th IGRSM International Remote Sensing and GIS Conference and Exhibition -- APR 21-23, 2014 -- Kuala Lumpur, MALAYSIAWOS: 000346761600053This study extends upon the results of [1] to include the modeling of Land use/Land cover (LULC). This study looks at
Shafri, Helmi Z. M., Hadi, Sinan Jasim, Mahir, Mustafa D.   +2 more
core   +1 more source

A NEW THINKING OF LULC CLASSIFICATION ACCURACY ASSESSMENT [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Abstract. A majority of studies involving remote sensing LULC classification conducted classification accuracy assessment without consideration of the training data uncertainty. In this study we present new concepts of LULC classification accuracies, namely the training-sample-based global accuracy and the classifier global accuracy, and a general ...
K. S. Cheng, K. S. Cheng, J. Y. Ling, T. W. Lin, Y. T. Liu, Y. C. Shen, Y. Kono   +6 more
openaire   +3 more sources