Results 191 to 200 of about 12,403 (242)

Vegetation water use efficiency constrains the dynamic of net primary productivity in Mu Us Sandy Land. [PDF]

Front Plant Sci
Chen Y, Liu Z, Guo X, Liu K, Zhang L, Liu J, Liu X, He J.   +7 more
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Machine learning prediction of future land surface temperature from SAR optical fusion under urban expansion in Changsha, China. [PDF]

Sci Rep
He P, Chen Z, Zhang L, Ma C, Luo C.
europepmc   +1 more source

Correction to "Mislabeled and Misunderstood: Large Mammal Distribution Underscores Ecological Significance of Agro-Pastoral "Wastelands" in India's Deccan Peninsula". [PDF]

Ecol Evol
europepmc   +1 more source

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LULC Image Classification with Convolutional Neural Network

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The topic of land use and land cover classification (LULC) has attracted the interest of many researchers in recent times. A variety of techniques have been proposed for LULC and while some of them are semantic segmentation-based, others are classifying an entire image to determine its class.
Anas Tukur Balarabe, Ivan Jordanov
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The LULC characterization and regional climate simulation

SPIE Proceedings, 2003
With a new satellite database that characterizes the significant land use and land cover (LULC) variations induced by the Western Region Development Strategy and the corresponding ecological engineering in China, a regional climate model is used to simulate their impacts on regulating the structure of summer monsoon system in East Asia and the relevant
Hanjie Wang, Weilai Shi
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Modeling LULC using Multi-Layer Perceptron Markov change (MLP-MC) and identifying local drivers of LULC in hilly district of Manipur, India

Environmental Science and Pollution Research, 2023
Identification and prediction of future land use and land cover (LULC) changes and their drivers are required for land resources management, formulation of better policy, practicing sustainable management strategies, and modeling future LULC. The present study has focused on the prediction of future LULC and assessment of local drivers of LULC change ...
Ahanthem Rebika Devi, Tuisem Shimrah
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Towards combining Satellite Imagery and VGI for Urban LULC classification

2019 Joint Urban Remote Sensing Event (JURSE), 2019
In this work we introduce and evaluate a deep learning model, mbCNN, that combines together satellite imagery and Volunteer Geographical Information (VGI) data to deal with different types of built-up surfaces. Differently from most of the previous works that only consider Urban/Non-Urban settings involving only one urban LULC class, here, we ...
Ienco, Dino, Ose, K., Weber, C.
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The Influence of Scale in LULC Modeling. A Comparison Between Two Different LULC Maps (SIOSE and CORINE)

2017
Scale is one of the most interesting issues in land change science. Although much research has been done on this topic, our understanding of its effects on data and models is still sketchy. We therefore decided to investigate how cartographic scale and minimum mapping unit (MMU) influence modeling results, for which purpose we chose a heterogeneous ...
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Machine Learning Approach to LULC Forecasting

2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)
This study explores the prediction of changes in Land Use and Land Cover (LULC) over the period of 2000 to 2040 in a region of Algeria. The research combines remote sensing data and machine learning techniques. Landsat image classification is applied to assess LULC changes for the years 2000 to 2020. In addition, a novel approach is employed to account
Abdelkader Riche, Riccardo Ricci, Farid Melgani, Ammar Drias, Boularbah Souissi   +4 more
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